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The COVID-19 pandemic led to a sudden shift to virtual work and events, with the last two years enabling an appropriated and rather simulated togetherness - the hybrid mode. As we return to in-person events, it is important to reflect on not only what we learned about technologies and social justice, but about the types of events we desire, and how to re-design them accordingly. This SIG aims to reflect on hybrid events and their execution: scaling them across sectors, communities, and industries; considering trade-offs when choosing technologies; studying best practices and defining measures of "success"for hybrid events; and finally, identifying and charting the wider social, ethical, and legal implications of hybrid formats. This SIG will consolidate these topics by inviting participants to collaboratively reflect on previous hybrid experiences and what can be learned from them.

Over the past few decades, a small but growing group of people have worked remotely from their homes. With the arrival of the coronavirus pandemic, millions of people found themselves joining this group overnight. In this position paper, we examine the kinds of work that ‘went remote’ in response to the pandemic, and consider the ways in which this transition was influenced by (and in turn came to influence) contemporary trends in digital workplace measurement and evaluation. We see that employers appeared reluctant to let certain classes of employee work remotely. When the pandemic forced staff home, employers compensated by turning to digital surveillance tools, even though, as we argue, these tools seem unable to overcome the significant conceptual barriers to understanding how people are working. We also observed that, in the United Kingdom context, the pandemic didn’t mean remote work for a significant proportion of the population. We assert that, to maximize its impact, ‘future of work’ research in human-centred computing must be more inclusive and representative of work, rather than focusing on the experiences of knowledge workers and those involved in new forms of work.

This article reports the results of a repeated interview study with 15 knowledge workers in academia during the first COVID-19 lockdown (April–July 2020). The focus of these interviews was to understand how people adjusted to working from home and the impact this had on their planning routines, strategies, and use of tools. Common themes reveal that work was chaotic, participants lost focus, and felt overworked and tired. Many disengaged from their planning routines and were reluctant to plan work in detail. However, those who reflected on how efficiently they were spending their time, found two planning strategies—breaking down tasks and manual time tracking—effective at improving accuracy of plans and productivity. Participants did not start using any new planning tools instead they adapted their existing ones. Design implications for planning tools in the context of the future of work and prevention of planning disengagement are discussed.

Anxiety disorders are the most common type of mental health problem. The potential of apps to improve mental health has led to an increase in the number of anxiety apps available. Even though anxiety apps hold the potential to enhance mental health care for individuals, there is relatively little knowledge concerning users’ perspectives. This mixed-methods study aims to understand the nature of user burden and engagement with mental health apps (MHapps) targeting anxiety management, in order to identify ways to improve the design of these apps. Users’ perspectives on these apps were gathered by analyzing 600 reviews from 5 apps on the app stores (Study 1), and conducting 15 interviews with app users (Study 2). The results shed light on several barriers to adoption and sustained use. Users appreciate apps that offer content variation, customizability, and good interface design, and often requested an enhanced, personalized experience to improve engagement. We propose addressing the specific app quality issues identified through human-centered design, more personalized content delivery, and by improving features for social and therapeutic support.

Excessive sedentariness can impair workers' health and productivity. The move to working from home as a result of the Covid-19 pandemic eliminated many workday opportunities for physical activity. This, coupled with a blurring of boundaries between work and non-work periods, put many at risk of overwork and musculoskeletal issues. We examined how the sudden transition to working from home influenced people's ability to take physically active work breaks. We found that the absence of social norms associated with the presence of colleagues in the work environment left workers uncertain about whether and when it is appropriate to take breaks. The pressure to demonstrate productivity while working asynchronously led to increased sedentariness and decreased break-taking. We propose that online tools that promote flexible social norms around break-taking could empower remote workers to incorporate regular physical activity into their days, without compromising the beneficial aspects of asynchronous working.

Reliable and accurate planning is essential for modern knowledge workers. However, there is limited insight about when, how and why planning is inaccurate, and the circumstances in which those inaccuracies are troublesome. To investigate this, we asked 20 academics to keep a diary for a single work day. They estimated the duration of the tasks they wanted to achieve at the start of the day and noted down in detail the tasks they actually achieved during the day. Semi-structured interviews were conducted to complement this diary data. The diaries showed that some tasks, such as email and coding, were more susceptible to time underestimation bias while other tasks, such as writing and planning, were more susceptible to time overestimation bias in planning. Based on interviews, a typology of common reasons for delays in planned daily work is presented. It suggests that vague and optimistic planning leads to the observed discrepancy between planned and actual work. Finally, interviews suggested that participants adopted four planning strategies that vary in the frequency of planning, from minimal planning to daily, weekly and multi-level planning. We close by discussing ways support systems for accurate planning can be better designed for different use cases.

Although e-mail interfaces have not changed much in the past decade, how we manage our inbox has changed a lot, as a result of the growing number of messages we receive (The Radicati Group, 2015) a...

Multiple myeloma (MM) is a hematological malignancy of monoclonal plasma cells that remains incurable. Standard treatments for MM include myeloablative regimens and autologous cell transplantation for eligible patients. A major challenge of these treatments is the relapse of the disease due to residual MM in niches that become refractory to treatments. Therefore, novel therapies are needed in order to eliminate minimal residual disease (MRD). Recently, our laboratory reported that virotherapy with oncolytic myxoma virus (MYXV) improved MM-free survival in an allogeneic transplant mouse model. In this study, we demonstrate the capacity of donor autologous murine leukocytes, pre-armed with MYXV, to eliminate MRD in a BALB/c MM model. We report that MYXV-armed bone marrow (BM) carrier leukocytes are therapeutically superior to MYXV-armed peripheral blood mononuclear cells (PBMCs) or free virus. Importantly, when cured survivor mice were re-challenged with fresh myeloma cells, they developed immunity to the same MM that had comprised MRD. In vivo imaging demonstrated that autologous carrier cells armed with MYXV were very efficient at delivery of MYXV into the recipient tumor microenvironment. Finally, we demonstrate that treatment with MYXV activates the secretion of pro-immune molecules from the tumor bed. These results highlight the utility of exploiting autologous leukocytes to enhance tumor delivery of MYXV to treat MRD in vivo., Graphical Abstract, McFadden and colleagues found that free MYXV, or in combination with murine autologous BM or PBMCs, has therapeutic effects against murine myeloma residual disease. Moreover, MYXV stimulates an immune response resulting in the activation of IFN-γ and TNF. Importantly, re-challenged survivor mice with fresh MM developed resistance to the disease.

Background Burnout for doctors-in-training is increasingly cause for concern. Our objectives were to assess the feasibility, acceptability and impact of a novel intervention to reduce burnout and improve wellbeing. This is the first wellbeing intervention for medical doctors to include strategies for work-life boundary management and digital wellbeing. Methods Twenty-two doctors participated in face-to-face workshops which included group discussion of challenges experienced and strategies to enhance self-care and wellbeing. A pre-post-test mixed-methods evaluation was undertaken. Questionnaire measures were the Oldenburg Burnout Inventory, Warwick-Edinburgh Mental Wellbeing Scale and the boundary control subscale of the Work-Life Indicator (i.e., the degree of perception of control of the boundaries between work and personal life). Paired t-tests examined whether there were statistically significant differences. Eleven doctors also participated in post-intervention semi-structured interviews. Transcripts were analysed using thematic analysis. Results The intervention was well-received, with all trainees finding the workshop useful and saying they would recommend it to others. At baseline most participants had scores indicative of burnout on both the disengagement (82%) and exhaustion (82%) subscales of the Oldenburg Burnout Inventory. One month post-intervention, participants had a statistically significant reduction in burnout (both disengagement and exhaustion) and improvement in boundary control. Wellbeing scores also improved, but differences were not statistically significant. Qualitative analysis indicated participants had welcomed a safe space to discuss stressors and many had implemented digital wellbeing strategies to manage their smartphone technology, and increased self-care such as mindfulness practice and walking in green space. Conclusions The intervention reduced burnout and improved boundary control. We suggest that having protected time for doctors to share personal experiences, adopt digital wellbeing and self-care strategies are effective tools to support doctors’ wellbeing and should be investigated further.

Many computer tasks involve looking up information from different sources, and these self-interruptions can be disruptive. In this article, we investigate whether giving people feedback on how long they are away from their task influences their self-interruption behaviour. We conducted a contextual inquiry on self-interruption behaviour in an office workplace. Participants were observed to postpone physical interruptions until a convenient moment in the task if they were expected to take time. In contrast, observations revealed that digital interruptions were addressed immediately; participants reported these were presumed to be quick to deal with. To increase awareness of time spent on digital interruptions, we developed TimeToFocus, a notification tool showing people the duration of their interruptions while working on a task. A field study deployment of TimeToFocus in an office workplace found that feedback on the duration of interruptions made participants reflect on what they were doing during interruptions. They reported that they used this insight to avoid task-irrelevant activities. To confirm whether participants’ perceptions of the benefit of the tool could be measured, we conducted an online experiment, where participants had to retrieve information from an email sent to their personal email addresses and enter it into a spreadsheet. Participants who used our tool made shorter interruptions, completed the spreadsheet task faster and made fewer data entry errors. We conclude that feedback on the length of interruptions can assist users in focusing on their primary task and thus improve productivity.

Objective To increase clinician adherence to mammography screening guidelines. Design Quality improvement initiative. Setting/Local Problem At a nurse practitioner–led primary care practice, a chart audit of adherence to American Cancer Society mammography screening guidelines indicated a 12% adherence rate for clinicians writing mammography orders. Participants Nurse practitioners providing care to women ages 40 years and older. Intervention/Measurements The intervention was a screening checklist that was completed by the woman at registration and given to the clinician during the examination. The pre- and postintervention measurement was the percentage of mammogram orders. A Fisher exact test was used to examine changes from pre- to postintervention rates of adherence. Results After the intervention, the percentage of women for whom a mammogram was recommended and ordered was 69.6%, compared to 12% from the original chart audit. This change was statistically significant (p = .01). Conclusion Clinicians must find efficient approaches to improve processes within their practice settings to ensure that preventive care recommendations are made during visits. Although the screening checklist was deemed useful, improvement in adherence rates is still needed, and a paperless system should be initiated.

Background Contextual cues play an important role in facilitating behaviour change. They not only support memory but may also help to make the new behaviour automatic through the formation of new routines. However, previous research shows that when people start a new behaviour, they tend to select cues that lack effectiveness for prompting behaviour. Therefore, it is important to understand what influences cue selection, as this can help to identify acceptable cues, which in turn could inform future behaviour change interventions to help people select cues that best fit their context and so ensure continued repetition. Methods We conducted a qualitative study to investigate what cues people select, how, and what influences their decisions. We recruited 39 participants and asked them to take vitamin C tablets daily for 3 weeks and later interviewed them about their experience. Quantitative habit strength and memory measures were taken for descriptive purposes. Results Cue selection was primarily influenced by a desire to minimise effort, e.g. keeping related objects at hand or in a visible place; prior experience with similar behaviours (regardless of whether the cues used in the past were reliable or not); and beliefs about effective approaches. In addition, we found that suboptimal remembering strategies involved reliance on a single cue and loosely defined plans that do not specify cues. Moreover, for many participants, identifying optimal cues required trial and error, as people were rarely able to anticipate in advance what approach would work best for them. Conclusions Future behaviour change interventions that rely on routine behaviours might fruitfully include the provision of educational information regarding what approaches are suboptimal (single factors, vaguely defined plans) and what is most likely to work (combining multiple clearly defined cues). They should also assess people’s existing beliefs about how to best remember specific behaviours as such beliefs can either enhance or inhibit the cues they select. Finally, interventions should account for the fact that early failures to remember are part of the process of developing a reliable remembering strategy and to be expected.

Consumer neurotechnology is arriving en masse, even while algorithms for user state estimation are being actively defned and developed. Indeed, many consumable wearables are now available that try to estimate cognitive changes from wrist data or body movement. But does this data help people? It’s a critical time to ask how users could be informed by wearable neurotechnology, in a way that would be relevant to their needs and serve their personal well-being. The aim of this SIG is to bring together the key HCI communities needed to address this: personal informatics, digital health and wellbeing, neuroergonomics, and neuroethics.

The COVID-19 pandemic led to governments advising citizens to engage in ’social distancing’ measures. These measures included working from home rather than in an office. As a result, many people had to rapidly develop new working strategies. As we look to a new future of work, with many workplaces examining long-term remote or hybrid working set-ups, it is important to understand how people developed remote working strategies and the contextual factors that precluded workers from maximising the potential of technology. Using a two-stage approach including a qualitative survey and a series of in-depth interviews, we investigated the challenges people experienced in creating effective workspaces, getting work done and connecting with others that surfaced during the COVID-19 crisis. We adapt a framework used in healthcare to the work context to make sense of how people cope with this disruption to find a new normal. From this, we identify instances of how people adapt to the new normal, where they avoid adaption and where they anticipate future changes. This gives us an understanding of how people adapt to the changing nature of work in response to the pandemic and offers a lens that may help to understand other future disruptions to work.

One impact of the Covid-19 lockdowns was a restriction on people's ability to engage in physical activity in previously routine ways. This paper presents a two-stage mixed-method study exploring how people used technology to stay physically active during this period. We found that activity trackers reminded people to be active, while virtual coaching (i.e., video tutorials and online classes) helped them stay connected. The lockdown increased people's awareness of their activity levels and removed barriers to exercise, for example by giving them greater control over their time. However, it also created new challenges, with lack of time and space, injuries due to sudden changes in activity, and anxiety around lockdown, putting limits on physical activity. We highlight future directions that must be addressed to maximise the benefits of physical activity technologies for people trying to stay active during major life disruptions.

Background A range of mobile apps for anxiety have been developed in response to the high prevalence of anxiety disorders. Although the number of publicly available apps for anxiety is increasing, attrition rates among mobile apps are high. These apps must be engaging and relevant to end users to be effective; thus, engagement features and the ability to tailor delivery to the needs of individual users are key. However, our understanding of the functionality of these apps concerning engagement and tailoring features is limited. Objective The aim of this study is to review how cognitive behavioral elements are delivered by anxiety apps and their functionalities to support user engagement and tailoring based on user needs. Methods A systematic search for anxiety apps described as being based on cognitive behavioral therapy (CBT) was conducted on Android and iPhone marketplaces. Apps were included if they mentioned the use of CBT for anxiety-related disorders. We identified 597 apps, of which 36 met the inclusion criteria and were reviewed through direct use. Results Cognitive behavioral apps for anxiety incorporate a variety of functionalities, offer several engagement features, and integrate low-intensity CBT exercises. However, the provision of features to support engagement is highly uneven, and support is provided only for low-intensity CBT treatment. Cognitive behavioral elements combine various modalities to deliver intervention content and support the interactive delivery of these elements. Options for personalization are limited and restricted to goal selection upon beginning use or based on self-monitoring entries. Apps do not appear to provide individualized content to users based on their input. Conclusions Engagement and tailoring features can be significantly expanded in existing apps, which make limited use of social features and clinical support and do not use sophisticated features such as personalization based on sensor data. To guide the evolution of these interventions, further research is needed to explore the effectiveness of different types of engagement features and approaches to tailoring therapeutic content.

The global pandemic and the uncertainty if and when life will return to normality have motivated a series of studies on human mental health. This research has elicited evidence for increasing numbers of anxiety, depression, and overall impaired mental well-being. But, the global COVID-19 pandemic has also created new opportunities for research into quantifying human emotions: remotely, contactless, in everyday life. The ubiquitous computing community has long been at the forefront of developing, testing, and building user-facing systems that aim at quantifying human emotion. However, rather than aiming at more accurate sensing algorithms, it is time to critically evaluate whether it is actually possible and in what ways it could be beneficial for technologies to be able to detect user emotions. In this workshop, we bring together experts from the fields of Ubiquitous Computing, Human-Computer Interaction, and Psychology to - long-overdue - merge their expertise and ask the fundamental questions: how do we make sense of emotion-sensing, can and should we quantify human emotions?

A lot of academic and industrial HCI work has focused on making interactions easier and less effortful. As the potential risks of optimising for effortlessness have crystallised in systems designed to take advantage of the way human attention and cognition works, academic researchers and industrial practitioners have wondered whether increasing the ‘friction’ in interactions, making them more effortful might make sense in some contexts. The goal of this special interest group is to provide a forum for researchers and practitioners to discuss and advance the theoretical underpinnings of designed friction, the relation of friction to other design paradigms, and to identify the domains and interaction flows that frictions might best suit. During the SIG, attendees will attempt to prioritise a set of research questions about frictions in HCI.

Message deletion in mobile messaging apps allows people to “unsay” things they have said. This paper explores how and why people use (or do not use) this feature within remediation strategies after a communication error is identified. We present findings from a multi-stage survey designed to explore people’s general experiences of the message deletion feature (N = 401), peoples’ experiences of using this feature during the remediation of an error (N = 70), and receivers’ perceptions around recent message deletions (N = 68). While people are typically aware of the deletion feature, it is infrequently used. When used, it is primarily done so to improve conversations by reducing confusion between conversation partners. We found people being aware of message deletions creating information-gaps which can provoke curiosity in recipients, causing them to develop narratives to help address the uncertainty. We found concerns amongst senders that these narratives would be of a negative nature, having an undesirable impact on how others perceive them. We use our findings to suggest ways in which mobile messaging apps could improve conversational experiences around erroneous and regrettable messages.

Background The development of mobile computing technology has enabled the delivery of psychological interventions while people go about their everyday lives. The original visions of the potential of these “ecological momentary interventions” were presented over a decade ago, and the widespread adoption of smartphones in the intervening years has led to a variety of research studies exploring the feasibility of these aspirations. However, there is a dearth of research describing the different dimensions, characteristics, and features of these interventions, as constructed. Objective To provide an overview of the definitions given for “ecological momentary interventions” in the treatment of common mental health disorders, and describe the set of technological and interaction possibilities which have been used in the design of these interventions. Methods A systematic search identified relevant literature published between 2009 and 2020 in the PubMed, PsycInfo, and ACM Guide to the Computing Literature databases. Following screening, data were extracted from eligible articles using a standardized extraction worksheet. Selected articles were then thematically categorized. Results The search identified 583 articles of which 64 met the inclusion criteria. The interventions target a range of mental health problems, with diverse aims, intervention designs and evaluation approaches. The studies employed a variety of features for intervention delivery, but recent research is overwhelmingly comprised of studies based on smartphone apps (30 of 42 papers that described an intervention). Twenty two studies employed sensors for the collection of data in order to provide just-in-time support or predict psychological states. Conclusions With the shift towards smartphone apps, the vision for EMIs has begun to be realised. Recent years have seen increased exploration of the use of sensors and machine learning, but the role of humans in the delivery of EMI is also varied. The variety of capabilities exhibited by EMIs motivates development of a more precise vocabulary for capturing both automatic and human tailoring of these interventions.

Personal informatics technologies support the collection of and reflection on personal data, but enabling people to learn from and act on this data is still an on-going challenge. Sharing and discussing data is one way people can learn from it, but as yet, little research explores how peer discourses around data can shape understandings and promote action. We ran 3 workshops with 5-week follow-ups, giving 18 people the opportunity to swap their data and discuss it with another person. We found that these workshops helped them to recontextualise and to better understand their data, identify new strategies for changing their behaviour and motivated people to commit to changes in the future. These findings have implications for how personal informatics tools could help people identify opportunities for change and feel motivated to try out new strategies.

We live in a world of communication overload, where there is a wide range of platforms and devices to choose from, each providing massive content, offering different affordances, and fighting for our attention. Mobile technologies have contributed to expectations of anywhere anytime connectedness, making it hard for individuals to switch off. As a result, it can be hard to feel truly disconnected from work. A lack of control over work-home boundary cross-overs and interruptions can reduce post-work recovery, reducing productivity and increasing stress. Technology is not inherently good or bad, but rather, the way it is adopted and used can positively or negatively color one’s experience. As such, in this critical review we take a social constructionist approach to emphasize how communication technologies are challenging, as well as supporting, work-home boundary management. In doing so, we bring together work from occupational psychology (boundary theory) and human-computer interaction (computer-mediated communication and cross-device interaction). Understanding how these aspects interact and influence each other is important in order to support individuals appropriately, inform policies and guidelines, and ensure both social and digital interactions are designed carefully.

Previous research has found that people often make time estimation errors in their daily planning at work. However, there is limited insight on the types of estimation errors found in different knowledge work tasks. This one-day diary study with 20 academics compared the tasks people aimed to achieve in the morning with what they actually did during the day. Results showed that participants were good at estimating the duration of time-constrained tasks, such as meetings, however they were biased when estimating the time they would spend on less time-constrained tasks. Particularly, the time needed for email and coding tasks was underestimated, whereas the time needed for writing research and planning activities was overestimated. The findings extend previous research by measuring in situ whether some tasks are more prone to time estimation errors than others. Planning and scheduling (AI) tools could incorporate this knowledge to help people overcome these time estimation biases in their work.

Self-tracking is an important part of self-care. However, predefined self-tracking approaches can impede people’s agency in managing their health. We investigated a customisable and pictorial self-tracking approach in multiple sclerosis self-management by implementing and conducting a field study of Trackly: a prototype app that supports people in defining and colouring pictorial trackers, such as body shapes. We found that participants utilised the elements of Trackly designed to support agentive behaviour: they defined personally meaningful tracking parameters in their own words, and particularly valued being able to flexibly colour in and make sense of their pictorial trackers. Having been able to support their individual self-care intentions with Trackly, participants reported a spectrum of interrelated experiences of agency, including a sense of ownership, identity, self-awareness, mindfulness, and control. Our findings demonstrate the importance of supporting people’s individual needs and creative capacities to foster mindful and personally meaningful engagement with health and wellbeing data.

The aim of the present study was to investigate the effect of error consequence, as reward or punishment, on individuals' checking behaviour following data entry. This study comprised two eye-tracking experiments that replicate and extend the investigation of Li et al. (2016) into the effect of monetary reward and punishment on data-entry performance. The first experiment adopted the same experimental setup as Li et al. (2016) but additionally used an eye tracker. The experiment validated Li et al. (2016) finding that, when compared to no error consequence, both reward and punishment led to improved data-entry performance in terms of reducing errors, and that no performance difference was found between reward and punishment. The second experiment extended the earlier study by associating error consequence to each individual trial by providing immediate performance feedback to participants. It was found that gradual increment (i.e. reward feedback) also led to significantly more accurate performance than no error consequence. It is unclear whether gradual increment is more effective than gradual decrement because of the small sample size tested. However, this study reasserts the effectiveness of reward on data-entry performance.

Designers commonly use gamification to improve the frequency of engagement with apps, but often fail to consider the impact of placement on reward value. As rewards tend to depreciate if delayed (termed temporal discounting), placing a reward further into the future can significantly affect its ability to motivate behaviour. We examine the most effective placement of gamified rewards so as to reduce discounting and to increase the frequency an application is used. In two online studies, users were asked to choose between fictional budget tracking applications that varied in the placement of either monetary (N=70) or gamified (N=70) rewards. In both experiments we found that people more frequently used the application that provided rewards before, rather than after, the task. As predicted by temporal discounting, our work suggests that placing rewards early in the interaction sequence leads to an improvement in the perceived value of that reward, motivating further selection. We discuss the findings in the context of designing effective reward structures to encourage more frequent app engagement.

Game jams, hackathons and similar group game creation events have become increasingly popular over the past decade (Fowler et al., 2015). They provide new and exciting opportunities for education and research. They foster creative thinking and innovation (Preston et al., 2012), and strengthen project management and communication skills (Smith & Bowers, 2016); all of which are essential skills for working in industry (Pirker et al., 2016).

Some regard the smartwatch as little more than an extra phone screen, but it can be a powerful tool that reduces the time we spend using other devices, enabling us to better manage our digital lives without missing out on important information.

The collection of participant data ‘in the wild’ is widely employed by Human-Computer Interaction researchers. A variety of methods, including experience sampling, mobile crowdsourcing, and citizen science, rely on repeated participant contributions for data collection. Given this strong reliance on participant data, ensuring that the data is complete, reliable, timely, and accurate is key. Although previous work has made significant progress on ensuring that a sufficient amount of data is collected, the accuracy of human contributions has remained underexposed. In this article we argue for an emerging need for an increased focus on this aspect of human-labelled data. The articles published in this special issue demonstrate how a focus on the accuracy of the collected data has implications on all aspects of a study – ranging from study design to the analysis and reporting of results. We put forward a five-point research agenda in which we outline future opportunities in assessing and improving human accuracy in mobile data collection.

Trust is a key component of high functioning virtual work teams. This study investigates the effectiveness of a commercial digital game in developing trust in virtual teams compared to a typical virtual team icebreaker. To achieve this, we outline important trust-building aspects that a game must have and identify the commercial digital game Spaceteam as a suitable candidate. Our results show that Spaceteam is more effective at developing trust in virtual teams compared to social icebreaker, indicated by differences in trusting behaviour. We did not find differences in perception of team trust or moderating effects of dispositional trust. Our findings suggest that digital games with trust-building aspects enable the verification of early trusting beliefs through gameplay, which in turn develops trust among team members. As these games are robust against individual differences in dispositional trust, it is applicable across any team composition. Our findings support the use of digital games as viable trust-building tools for virtual work teams.

Digital games are a hugely popular activity enjoyed for the diverse experiences and relationships that they offer players. In 2019, games are more accessible to an increasingly diverse audience of disabled players through both new gaming technology and in-game options that allow people to tune their experiences. As a significant cultural medium, it is also challenging perceptions of disability in how characters are depicted. In this workshop, we aim to understand better the research challenges in making games for and with disabled players. We explore opportunities in games and disability through the lens of the new Disability Interaction (DIX) manifesto.

Researchers and practitioners are keen to understand how new video viewing practices driven by technological developments impact viewers’ experiences. We detail the development of the Immersive Experience Questionnaire for Film and TV (Film IEQ). An exploratory factor analysis based on responses from 414 participants revealed a four-factor structure of (1) captivation, (2) real-world dissociation, (3) comprehension, and (4) transportation. We validated the Film IEQ in an experiment that replicated prior research into the effect of viewing on screens of varying size. Responses captured by the Film IEQ indicate that watching on a small phone screen reduces the viewer’s level of comprehension, and that this negatively impacts the viewing experience, compared to watching on a larger screen. The Film IEQ allows researchers and practitioners to assess video viewing experiences using a questionnaire that is easy to administer, and that has been empirically validated.

Crowdworkers receive no formal training for managing their tasks, time or working environment. To develop tools that support such workers, an understanding of their preferences and the constraints they are under is essential. We asked 317 experienced Amazon Mechanical Turk workers about factors that influence their task and time management. We found that a large number of the crowdworkers score highly on a measure of polychronicity; this means that they prefer to frequently switch tasks and happily accommodate regular work and non-work interruptions. While a preference for polychronicity might equip people well to deal with the structural demands of crowdworking platforms, we also know that multitasking negatively affects workers' productivity. This puts crowdworkers' working preferences into conflict with the desire of requesters to maximize workers' productivity. Combining the findings of prior research with the new knowledge obtained from our participants, we enumerate practical design options that could enable workers, requesters and platform developers to make adjustments that would improve crowdworkers' experiences.

This paper explores how a design fiction can be designed to be used as a pragmatic user-centred design method to generate insights on future technology use. We built HawkEye, a design fiction probe that embodies a future fiction of dementia care. To learn how participants respond to the probe, we employed it with eight participants for three weeks in their own homes as well as evaluating it with six HCI experts in sessions of 1.5h. In addition to presenting the probe in detail, we share insights into the process of building it and discuss the utility of design fiction as a tool to elicit empathetic and rich discussions about potential outcomes of future technologies.

In the context of citizen cyberscience, creativity is generally thought to be positive and should be encouraged. When volunteers think “outside of the box” they bring their own unique perspectives to scientific problems and generate new ideas. In some cases, creativity can even lead to new scientific discoveries. However there are still many unanswered questions about creativity. Is creativity in citizen science just about scientific discovery, or are there other kinds of creative products in citizen cyberscience? How does creativity compare across different kinds of citizen cyberscience, such as volunteer thinking and participatory sensing? In Citizen Cyberlab we explored creativity across four different pilot projects: GeoTag-X, Virtual Atom Smasher, Synthetic Biology, and Extreme Citzien Science. We conducted 96 interviews in total: 86 with volunteers (citizen scientists) and 10 with scientists. Based on our findings, we present several creative products that are a result of active involvement in citizen cyberscience: discussing ideas, suggesting improvements, development of new technologies, gamification, artwork, creative writing, outreach activities, and the development of new research projects. We also discuss factors that encourage creativity, such as having a supportive environment for volunteers and building a sense of community.

Obtaining high-quality data from crowds can be difficult if contributors do not give tasks sufficient attention. Attention checks are often used to mitigate this problem, but, because the roots of inattention are poorly understood, checks often compel attentive contributors to complete unnecessary work. We investigated a potential source of inattentiveness during crowdwork: multitasking. We found that workers switched to other tasks every 5 minutes, on average. There were indications that increasing switch frequency negatively affected performance. To address this, we tested an intervention that encouraged workers to stay focused on our task after multitasking was detected. We found that our intervention reduced the frequency of task switching. It also improves on existing attention checks because it does not place additional demands on workers who are already focused. Our approach shows that crowds can help to overcome some of the limitations of laboratory studies by affording access to naturalistic multitasking behavior.

Digital games are an engaging medium that have previously been used for communicating research to a variety of audiences. However, there is an opportunity for engaging people more deeply by involving them in creating games. This article reports on a game design competition, based on participatory design principles and game jam practices, which challenged university students to design games within the context of a research project. Based on their interpretations of research on human error in health care, teams created four games to be disseminated online to a wider public audience. We outline the competition format and reflect on the extent to which it was successful.

Smartphones are now ubiquitous and valuable in many professions and yet have also been blamed for creating an ‘always on' culture, blurring boundaries between work and home. Research has shown that checking e-mails out-of-hours via computer makes workers feel more overloaded with work but also increases their sense of coping. A total of 94 participants completed a survey exploring whether the same pattern would emerge for accessing e-mail on smartphones, showing that those who use smartphones for work e-mail experienced lower levels of overload, but not coping, and push notifications were associated with greater use of smartphones for e-mail. However, there were no significant correlations between coping or overload and e-mail use or quantity, suggesting that lower overload is not due to the ability to processes or read more e-mails outside of work.

IntroductionIntravenous medication administration has traditionally been regarded as error prone, with high potential for harm. A recent US multisite study revealed few potentially harmful errors despite a high overall error rate. However, there is limited evidence about infusion practices in England and how they relate to prevalence and types of error.ObjectivesTo determine the prevalence, types and severity of errors and discrepancies in infusion administration in English hospitals, and to explore sources of variation, including the contribution of smart pumps.MethodsWe conducted an observational point prevalence study of intravenous infusions in 16 National Health Service hospital trusts. Observers compared each infusion against the medication order and local policy. Deviations were classified as errors or discrepancies based on their potential for patient harm. Contextual issues and reasons for deviations were explored qualitatively during observer debriefs.ResultsData were collected from 1326 patients and 2008 infusions. Errors were observed in 231 infusions (11.5%, 95% CI 10.2% to 13.0%). Discrepancies were observed in 1065 infusions (53.0%, 95% CI 50.8% to 55.2%). Twenty-three errors (1.1% of all infusions) were considered potentially harmful; none were judged likely to prolong hospital stay or result in long-term harm. Types and prevalence of errors and discrepancies varied widely among trusts, as did local policies. Deviations from medication orders and local policies were sometimes made for efficiency or patient need. Smart pumps, as currently implemented, had little effect, with similar error rates observed in infusions delivered with and without a smart pump (10.3% vs 10.8%, p=0.8).ConclusionErrors and discrepancies are relatively common in everyday infusion administrations but most have low potential for patient harm. Better understanding of performance variability to strategically manage risk may be a more helpful tactic than striving to eliminate all deviations.

Ubicomp/HCI researchers are increasingly using smartphones to collect human-labelled data 'in the wild'. While this allows for the collection of a wide range of interesting data in authentic settings and surroundings, humans are notoriously inconsistent in the quality of their contributions. Improving the quality of data collected with mobile devices is a largely unexplored, but highly relevant field. The primary objective of this workshop is to share insights, ideas, and discoveries on the quality of mobile human contributions. The work presented in the International Workshop on Mobile Human Contributions (MHC '18) explores methods, tools, and novel approaches towards increasing the reliability of human data submissions with mobile devices.

This chapter examines the potential for the Resilience Markers Framework (RMF) to provide guidance for development of an interview script aimed at uncovering resilience strategies used by anaesthetists. Anaesthetists work in a variety of areas of the hospitals which would make observations challenging. The chapter had two main aims: to see if the Resilience Markers Framework can be used to shape interviews to elicit the details of resilience strategies; and to explore resilience strategies in anaesthetists' work. Following data collection the individual resilience strategies were classified in terms of four main themes. These themes represent perceived vulnerabilities and opportunities in anaesthetists' work. Each grouping reflected the activities and goals of the anaesthetists. The groups of resilience strategies were then evaluated in terms of the RMF. The interviews were fairly straightforward to develop using the RMF, which suggests it's a strong framework for this purpose.

In recent years, on-demand video services, such as Netflix and Amazon Video, have become extremely popular. To understand how people use these services, we recruited 20 people from nine households to keep a viewing diary for 14 days. To better understand these household viewing diaries, in-depth interviews were conducted. We found that people took advantage of the freedom and choice that on-demand services offer, watching on different devices and in different locations, both in the home and outside. People often watched alone so they could watch what they wanted, rather than coming together to watch something of mutual interest. Despite this flexibility, the evening prime time continued to be the most popular time for people to watch on-demand content. Sometimes they watched for extended periods, and during interviews concerns were expressed about how on-demand services make it far too easy to watch too much and that this is often undesirable.

On-demand video services allow viewers to access media wherever and whenever they like, on a wide variety of devices. These services have become extremely popular in recent years, but exactly how people interact with these services has not been studied in detail. We conducted a diary study with nine households to investigate this, and present the preliminary results in this paper. Participants took advantage of the freedom and choice these services provided, watching on different devices, in different locations, and for extended periods of time. However, the majority of viewing conformed to traditional patterns, occurring in the evening on large screens, though viewing on a laptop was slightly more popular than the television. We found that usage of on-demand services was influenced by situational factors such as location and the devices that are available.

Data entry often involves looking up information from email. Task switching to email can be disruptive, and people can get distracted and forget to return to their primary task. In this paper, we investigate whether giving people feedback on how long they are away from their task has any effect on the duration and number of their switches. An online experiment was conducted in which participants had to enter numeric codes into an online spreadsheet. They had to look up these codes in an email sent to their personal email address upon starting the experiment. People who were shown how long they were away for made shorter switches, were faster to complete the task and made fewer data entry errors. This suggests feedback on switching duration may make people more aware of their switching behaviour, and assist users in maintaining focus on their main task.

Feelings of stress can have negative impacts on mental and physical health. In response, a significant number of stress management applications (apps) have been developed but little is known about their functionality. We conducted a feature analysis of 26 stress management and monitoring apps to identify required improvements. We found that the reviewed apps supported users with reflection, but did not include adequate functions to support action taking (i.e. initiating and maintaining behaviour change). This paper contributes a discussion of how to improve the design of stress management apps with examples of good practice and how healthcare providers can use this information to leverage such apps in clinical care.