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The most commonly cited issues with mobile apps are low user engagement and retention levels. In this paper, we use a randomized control trial to test the efficacy of crowdsourcing on enhancing user engagement and retention in the context of mobile gaming apps. We examine two specific crowdsourcing features: the ability to submit content and the ability to access crowdsourced content. We find that the content submission significantly increases engagement and retention by reducing users’ hazard of ending a session by approximately 11% relative to the baseline and reducing the hazard of abandoning the game app by 14%. In contrast, giving users the ability to access crowdsourced content has no significant effect on engagement but has a positive effect on retention by reducing the hazard of abandoning the game app by 13%. Surprisingly, we find that the interaction effect of these two crowdsourced features is negative on user engagement. Individually, the submission feature manifests itself via empowering users to control their product use experience, whereas the access feature’s positive effect on retention is mediated by diversity and novelty of content. However, the two effects are not complementary. It turns out when these two features are given together, the empowerment enabled by one’s own submission is crowded out by others’ submissions, and this dominates the diversity benefit. Crowdsourcing features have heterogeneous impact on different user segments, with heavy users and users of longer tenure being more affected by the crowdsourcing features. This paper was accepted by Anandhi Bharadwaj, information systems.

Introduction Early detection and screening of developmental dysplasia of the hip (DDH) are critical in reducing complications; thus, advocacy and awareness are paramount. Social media, Twitter, in particular, connects users based on their content engagement, allowing global audience to interact with one another, providing an opportunity to spread awareness and support for children and families affected by conditions such as DDH. The objective of this study was to assess the frequency and content of information being published on Twitter pertaining to DDH. Methods A search strategy using key terms was developed. An a priori coding guide using search terms was then created to establish a framework to identify themes regarding DDH on Twitter. Data were extracted over one-week periods in June and July of 2019 and 2020. An excel-based coding guide was developed to organize and analyze the extracted data. Results A total of 142 tweets were extracted for analysis; 41 in 2019 and 101 in 2020. The most frequently used search terms were hip dysplasia, developmental dysplasia of the hip, and dislocated hip. In 2019, the most frequent tweet authors were healthcare organizations (13/41, 31.7%) and healthcare professionals (12/41, 29.3%). In contrast in 2020, 32.7% (33/101) tweets were authored by patients. Prevention, treatment, and general discussions were top categories in 2019, compared to education, awareness, and general discussions in 2020. Conclusion Our data indicate that user engagement with DDH content on Twitter increased by 2.5-fold from 2019 to 2020. We found similar patterns regarding the types of authors and content type in both years. However, focus shifted toward topics of education and awareness in 2020. Significance Our analysis identified trends and gaps in the use of Twitter that could be implemented by users to optimize messages, such as connecting directly and conversing with users through replies. Findings also indicate the importance of multi-author engagement to increase the breadth of distribution of information. Social media platforms can efficiently disseminate information to a wide range of individuals; however, they must be leveraged appropriately to accurately inform the public about DDH. Engaging with Twitter users hold great potential to promote advocacy and increase early detection and screening for DDH. Level of evidence 3.

Many health organizations use Facebook as a platform to engage with users. This has resulted in many research studies conducted on this platform. One popular type of research study is to characterize posts and measure user engagement levels . In this study, 100 post on the Mental Health Foundation of New Zealand Facebook page was analyzed this purpose. A mixed method approach was used. Quantitative descriptive statistics was used to analyze levels of engagement whilst qualitative content analysis was used to characterize posts into themes. Preliminary results indicate most posts fit in the awareness theme followed by the campaign theme. High levels of user engagements was observed for posts related to the awareness and others theme. Results of this study makes the suggestion for the implementation of intervention type awareness posts. A recommendation is also to made that the awareness posts promote mental health education and communication. This research study adds new knowledge to the area of posts characterization and user engagement levels on a mental health Facebook page.

In this study, we examine the impact of monetary incentives on user engagement and learning outcomes in massive open online courses (MOOCs). While MOOCs offer high-quality interactive educational resources to users worldwide, maintaining user engagement and enthusiasm on these platforms is a challenge. To address this issue, we conduct a field experiment in which users are given monetary incentives to engage in online learning. Our results show that those given a monetary incentive are more likely to submit homework and to gain higher homework grades. We further find that the effect persists even after we remove the monetary incentives and that it spills over into learning behavior in other courses in the same and subsequent semester. Overall, our findings suggest that monetary incentives counteract engagement decay and may help online users form persistent learning habits.

Background Patients attending general medicine outpatient clinics (GM OPC) at hospital face multiple healthcare demands in an environment that has evolved with the clinician at its centre. The ideas, knowledge and understanding that patients bring to their clinic appointments are not well studied in the New Zealand setting. Aims To assess how hospitals prepare patients for their outpatient appointments and encourage people to participate actively in their own care. Methods A prospective survey of 50 patients attending follow-up GM OPC was performed. Participants' understanding of the purpose of their appointment and knowledge of their prescription medications was explored using a nine-item questionnaire. Patient-directed hospital communication was then analysed to assess the information supplied to patients. Results Two-thirds (66%) of participants attending follow-up GM OPC recalled being informed of an appointment at the time of leaving hospital; only half (54%) felt they had been informed of the purpose of these appointments. Patient-directed communication was not completed in half (50%) of the analysed discharge letters. One-third (36%) of participants did not have specific questions for their clinic visits. Conclusions Limited information and support is provided to patients attending follow-up GM OPC and is not tailored to individuals' health literacy. This practice assumes patients have comparable health literacy to clinicians, which may have downstream impacts on the usefulness of the clinic experience. The information that health users bring to clinic may be improved by increasing pre-clinic user engagement and deploying patient-centred tools within the healthcare environment.

Live Streaming Commerce (LSC) is proliferating in China and gaining traction worldwide. LSC is an e-commerce service where sellers communicate with consumers through live streaming while consumers can place orders within the same system. Despite the significant involvement of consumers in LSC, it has not been systematically analyzed how consumers make shopping decisions when engaging with LSC. In this paper, we conduct a mixed-methods study, consisting of surveys (N1 = 240) and follow-up interviews (N2 = 16) with LSC consumers. We focus on two features of LSC, i.e., the communication between merchants and consumers through live streaming and the participation of streamers, and aim to understand how these changes influence consumers’ decision-making process in LSC. We find that LSC enables merchants to exchange information with consumers based on their needs and provide additional customer services. Because of the appropriate information about the products they acquire and the enjoyable shopping atmosphere, consumers are willing to purchase products in LSC. As the intermediaries between merchants and consumers, streamers utilize their independent identity from merchants to enhance consumers’ awareness of shopping and persuade their online shopping decisions. Moreover, we consider the opportunities and challenges of current LSC services and provide implications for LSC services and the research community regarding the development of LSC., Computer Supported Cooperative Work, 31 (4), ISSN:0925-9724, ISSN:1573-7551

Massive open online courses (MOOCs) have the potential to democratize education by improving access. Although retention and completion rates for nonpaying users have not been promising, these statistics are much brighter for users who pay to receive a certificate upon completing the course. We investigate whether paying for the certificate option can increase engagement with course content. In particular, we consider two effects: (1) the certificate effect, which is the boost in motivation to stay engaged to receive the certificate; and (2) the sunk-cost effect, which arises solely because the user paid for the course. We use data from over 70 courses offered on the Coursera platform and study the engagement of individual participants at different milestones within each course. The panel nature of the data enables us to include controls for intrinsic differences between nonpaying and paying users in terms of their desire to stay engaged. We find evidence that the certificate and sunk-cost effects increase user engagement by approximately 8%–9% and 17%–20%, respectively. Whereas the sunk-cost effect is transient and lasts for only a few weeks after payment, the certificate effect lasts until the participant reaches the grade required to be eligible to receive the certificate. We discuss the implications of our findings for how platforms and content creators may design course milestones and schedule payment of course fees. Given that greater engagement tends to improve learning outcomes, our study serves as an important first step in understanding the role of prices and payment in enabling MOOCs to realize their full potential.

Recommending sustainable products to the target users in a timely manner is the key drive for consumer purchases in online stores and served as the most effective means of user engagement in online services. In recent times, recommender systems are incorporated with different mechanisms, such as sliding windows or fading factors to make them adaptive to dynamic change of user preferences. Those techniques have been investigated and proved to increase recommendation accuracy despite the very volatile nature of users’ behaviors they deal with. However, the previous approaches only considered the dynamics of user preferences but ignored the dynamic change of item properties. In this paper, we present a novel Temporal Matrix Factorization method that can capture not only the common users’ behaviours and important item properties but also the change of users’ interests and the change of item properties that occur over time. Experimental results on a various real-world datasets show that our model significantly outperforms all the baseline methods.

Internet enabled the emergence of social media platforms, opened new markets and changed the way businesses and organizations operate, communicate with their target audience, promote their activities and achievements. Non-profit organizations worldwide use social media platforms and strive to increase user engagement and the number of reactions to achieve their goals. Although in Bosnia and Herzegovina, non-profit organizations use social media platforms, there is no empirical evidence of their success in increasing user engagement and the number of reactions. This study investigates which social media factors have an influence on user engagement, particularly on the number of reactions on Facebook posts. The real data from the period of 15 months were collected from a Facebook business profile of a non-profit organization from Bosnia and Herzegovina. SPSS and Excel were used to analyze the data. According to the research results, the period of publishing and the number of photos have an effect on the number of reactions on Facebook posts, while the amount of text and the day of publishing do not have an effect on the number of reactions.

This study sought to examine academic libraries’ patrons’ level of awareness of, and engagement with social media in the use of academic libraries services in Ghana. The study employed the cross-sectional survey whereby quantitative data were collected from a total of 417 respondents, who consisted of students and library staff from public, private and technical universities in Ghana. Findings indicated that the academic libraries have adopted and used a number of social media applications, with Facebook and instant messaging as the most popular and frequently used platforms, for the provision and access to library services and resources as well as for contacting the academic libraries. However, the level of awareness, extent of use, as well as the level of engagement with the platforms was low as social media tools adopted by the libraries were not prevalent among the library patrons. Recommendations and conclusions based on the research findings are offered in the paper. This study uses a cross-sectional survey, with the data being collected at a specific point in time. However, due to rapid technological change and trends, future research studies could consider longitudinal studies to investigate the adoption and use of social media in academic libraries across time and environment. The analysis of social media use for academic library services from both the library staff and library patrons’ perspectives will inform decisions on how to improve the use of such platforms for effective and efficient library services delivery and access.

Background Scientists, surgeons, and trainees are increasingly taking an active role on Twitter to find, disseminate, and exchange knowledge. The purpose of this study was to determine if peer-reviewed journal articles shared on Twitter using visual abstracts (VAs) improve user engagement compared with plain-text tweets. Methods A two-arm randomized controlled trial with crossover was performed. Manuscripts from the Journal of Arthroplasty were allocated to one of two arms and disseminated via the journal Twitter account (@JArthroplasty) as either a text-based tweet or a VA. The primary outcome was online engagement (a composite of retweets, replies, and likes) at 7 and 30 days after posting. Univariate analysis for nonparametric and parametric data was performed using Mann-Whitney test or Student t-tests, respectively; alpha was set at 0.05. Results 20 in-press manuscripts were randomized to standard tweets (10) or VAs (10) the same day of online publication. The mean number of engagements was higher in the VA group at seven (412 ± 216 vs 195 ± 133; P = .016) and 30 days (495 ± 204 vs 244 ± 162; P = .007). After the crossover, similar results were reported. Overall, VAs attracted a significantly greater number of engagements than standard tweets. Most engagement for both plain-text tweets and VAs occurred shortly after the tweet is posted. Conclusion Online, public engagement with orthopedic research is generally low. However, when VAs are used to communicate research through social media outlets such as Twitter, the overall research engagement significantly increases compared with plain-text tweets.

Resource Discovery for the Twenty-First Century Library: Case Studies and Perspectives on the Role of IT in User Engagement and Empowerment explores the evolution of information technology, focusin...

Clickstream data recording each click that each individual user makes on a media website has become the currency for evaluating digital platforms in order to maximise advertising and/or subscriptio...

Objective : Swift desirability of people have arisen towards YouTube videos for keeping abreast of the ever-evolving situation with COVID-19 occurrence. We aimed to determine easy to understand and educationally beneficial ‘awareness videos’ of COVID-19 available on YouTube, based on the viewers’ engagement. Methods: We gathered YouTube videos using the phrases ‘COVID-19 awareness’ and ‘Coronavirus knowledge’. Information retrieved included the author’s and or publisher’s name, the total number of watchers, likes, dislikes, and comments. Educationally useful videos about COVID-19 awareness were recognized based on the viewers’ engagement. Videos with correct knowledgeable content were sorted out from impractical videos. Different variables were measured and correlated for the data analysis. Findings: Out of a total of 41 retrieved videos, only 15 (36.58%) were shortlisted. Upon further extensive evaluation, 10 (66.67%) were found to have excellent audio-visual content, carrying outstanding awareness, hence designated as educationally useful content. The total likes of all the 10 videos and the number of views/days showed a statistically significant correlation (r=0.91, P= 0.000). Also, a significant correlation was found between the total dislikes and views/day, likes/day, but with the association and with the score of the video, and the merits of the video were not significant. Novelty: In the wake of the COVID-19 pandemic, information gathering through online resources has risen. YouTube undoubtedly attracted a very high viewership. People from all professions started to seek and collect essential information about the COVID-19. A remarkable feature of this study was it permitted laymen and healthcare workers in the community to be aware of the ever-changing issue associated with COVID-19. Moreover, it made easy access to the educational videos available on the topic, making it a trendsetter study in the region. Keywords COVID­19, Pandemic, YouTube, Awareness, Internet Videos, infectious disease

This study investigates how serendipitous suggestions enhance user engagement with and sociality perceptions of movie recommendation system (RS). We constructed a mock-up recommendation system that...

Introduction Many Clinical and Translational Science Awards (CTSAs) focus their energy on operational aspects of running their hub, but may not devote enough energy and resources toward branding and effective communication. However, CTSAs have an important mission when it comes to communicating effectively with their stakeholders through social media. Using framing theory as the underpinning, the purpose of this content analysis is to investigate the ways in which CTSAs use Twitter to communicate with their various stakeholders, the type of content they post, and the type of engagement their tweets garner. Methods We examined 349 tweets posted from January 2019 to January 2020 from 19 CTSA Twitter accounts (sampled from a total of 35 CTSA accounts). A thematic codebook was generated using tweets randomly chosen from the sample. Content analysis was performed on the entire tweet sample by four coders using the codebook (alpha = 0.89). Results CTSAs tweeted the most about events (29.8%), and the least about study recruitment (2.01%). Most tweets included images (59.31%) and hashtags (51.29%), but received little user engagement on the average post (average: 4.38 likes and 1.94 retweets). CTSAs tweeted most from 10 a.m. to 12 p.m. PST and received the most engagement. Most CTSAs had a dedicated person (e.g., manager, coordinator) handling their communications. Discussion Our analysis shows multiple opportunities for CTSAs to engage with stakeholders and the public, as well as standardize and improve their Twitter communications to effectively reach a broader audience.

In online question and answer (Q&A) communities, people ask questions and share answers at all levels of topic sensitivity. Identity options within these communities range from anonymity to real name. The amount of engagement, and the quality of engagement on Q&A sites may differ depending on the identity options available. In this paper, we investigate the relationship between the amount of engagement, the quality of engagement, and different types of identity by analyzing three Q&A sites with different identity policies. We find that highly sensitive questions are more likely to be asked anonymously. Furthermore, allowing anonymity does not affect answer quality and only has a weak, negative indirect effect on engagement. On the other hand, anonymity leads to more trolling. We suggest online communities provide a way for users to ask highly sensitive questions anonymously and pair this with moderation mechanisms to reduce trolling

MySpira is the world first augmented reality (AR) asthma inhaler training app; it enables children to learn asthma keywords, types of inhalers, the preparation of the inhaler and spacer, asthma triggers, and develop skills on how to use an asthma inhaler effectively. All of these are compiled into an enjoyable 20-minute experience, introducing likable characters and tactile interactions, which incentivise the child to progress all the way through the learning experience. This study aimed to compare the efficacy of the MySpira application to traditional educational material (e.g. leaflets and videos) to improve asthma treatment compliance, technique and user engagement amongst 110 schoolchildren, aged 6 to 13. The findings indicate that MySpira surpasses the traditional educational materials, specifically in terms of enjoyment rating, the use of different inhalers’ techniques, particularly in the younger group (aged 6-9 years). Therefore, MySpira may enhance the level of available asthma care in an attempt to resolve one of the major problems facing asthma suffers and their carers, notably effective use of asthma inhalers.

India’s leading passenger car exporter which is Hyundai Motors India Limited has a market share of India’s total car exports about 26 % in 2019. The term strategy is intended a lot for all business entities in today's competitive marketplace. When a company has a distinctive and distinct benefit, it must be inventive with its marketing strategy. Hyundai has introduced and embraced numerous strategies for securing the overall demand for brand placement. This study attempts to investigate traditional and digital advertising conducted by Hyundai Motors Company which will enhance the success of the company in terms of creating the brand and facilitating user engagement. Close-ended questionnaire is used to collect the data for this study. The data was collected from individuals with different income ranges in India through a non-probability purposive convenience sampling method. The result of this study showed that generation nowadays know more about the products through broadcast advertising such as TV and digital media rather than print media such as newspaper and magazine. Therefore, Hyundai Motors should invest more marketing strategy in broadcast and digital advertising.

Purpose This study aims to test the effect of system quality, information quality and service quality on user engagement and its effect on smartphone travel apps’ satisfaction, love and behavioral intentions. Design/methodology/approach Using the self-selection sampling technique, data was collected from 417 respondents recruited via Amazon Mechanical Turk. Data was subjected to partial least squares based structural equation modeling. Findings Results indicate that system quality, information quality and service quality have a significantly positive impact on user engagement with smartphone travel apps. Moreover, user engagement has a positive and significant impact on smartphone app satisfaction, smartphone app love and behavioral intentions. Originality/value This is the first study to integrate DeLone and McLean (2003) updated information system success model and stimulus-organism-response model to propose a holistic model of user’s engagement with smartphone travel apps.

Representative democracy presents politicians with an information problem: How to find out what voters want? While party elites used to rely on their membership or mass surveys, social media enables them to learn about voters’ issue priorities in real time and adapt their campaign messages accordingly. Yet, we know next to nothing about how campaigns make use of these new possibilities. To narrow this gap, we use a unique data set covering every Facebook post by party leaders and party organizations in the run-up to the 2017 Austrian parliamentary election. We test the hypothesis that party actors are more likely to double down on issues that have previously generated higher levels of user engagement. We also theorize that responsiveness is conditional on major/minor party status and pre-campaign issue salience. The analysis shows that parties’ issue strategies respond to user engagement, especially major parties on low-salience issues. This represents some of the first empirical evidence on how social media can enhance parties’ issue responsiveness. Bundesministerium für Bildung, Wissenschaft und Forschung (BMBWF)

Mobile health applications (‘health apps’) that promise the user to help her with some aspect of her health are very popular: for-profit apps such as MyFitnessPal, Fitbit, or Headspace have tens of millions of users each. For-profit health apps are designed and run as optimization systems. One would expect that these health apps aim to optimize the health of the user, but in reality they aim to optimize user engagement and, in effect, conversion. This is problematic, I argue, because digital health environments that aim to optimize user engagement risk being manipulative. To develop this argument, I first provide a brief analysis of the underlying business models and the resulting designs of the digital environments provided by popular for-profit health apps. In a second step, I present a concept of manipulation that can help analyze digital environments such as health apps. In the last part of the article, I use my concept of manipulation to analyze the manipulative potential of for-profit health apps. Although for-profit health can certainly empower their users, the conditions for empowerment also largely overlap with the conditions for manipulation. As a result, we should be cautious when embracing the empowerment discourse surrounding health apps. An additional aim of this article is to contribute to the rapidly growing literature on digital choice architectures and the ethics of influencing behavior through such choice architectures. I take health apps to be a paradigmatic example of digital choice architectures that give rise to ethical questions, so my analysis of the manipulative potential of health apps can also inform the larger literature on digital choice architectures.

To improve user engagement such as viewing time, this paper addresses the understanding and prediction of the user quitting ratio for users watching videos using adaptive bit rate video streaming. The user quitting ratio is defined as the percentage of users still watching videos at a given time. To perform this study, five subjective experiments involving up to 264 participants were conducted in a laboratory setting. Results indicated the effects of coding quality, initial buffering, and midway stalling on user quitting ratio. Then, a framework was defined to predict the user quitting ratio as a function of time. This framework achieves good prediction accuracy and can be used in multiple scenarios including when quality adaptation and stalling occur. Finally, it is suitable for monitoring applications where bitstream are encrypted and low processing cost is required.

Gamification becomes an important and widely used instrument in online learning, and it affects users' experience. However, recent research on the interaction between a user and technology, in the online learning platform, tends to study gamification separately. This paper aims to overcome the research gap, exploring the relationships between user engagement, platform affordances, and gamification in online learning. An online survey was conducted among the participants (N=375) studying with Skyeng (commercial online platform for learning English). The data was analysed with factor and regression analysis. The results demonstrated four major platform affordances: technology credibility and usability, adaptability of course tasks, phasing and intermittence and external reward. Among the four, technology credibility and usability was found to be the most influential predictor of user engagement in online learning. External reward, as an affordance, drawn from gamification elements, has the smallest contribution to user engagement. However, the study proves the suitability of perceiving gamified elements as affordances by platform users. The research provides conceptual and empirical grounds for studying gamification elements as one of the affordances in online learning and outlines further directions to explore these connections.

Objectives.In these trying times due to the global effect of pandemic, what social media accounts do academic libraries in Kazakhstan maintain and how can they improve their social media engagement to continuously connect with their stakeholders? This report provides an overview of the current status of social media engagement of selected academic libraries in Kazakhstan during the COVID-19 crises. This paper will give us a picture about the kinds of online postings shared by these libraries particularly with the use of Facebook.Methods.The top two universities ranked by Independent Quality Assurance Agency (IQAA) were considered in this report to be compared with the only autonomous organization of education in Kazakhstan. The library social media accounts of these three organizations were investigated to review the number of followers, frequency of posting, and its overall social media engagement. Data collected is publicly available to all potential users, followers, or subscribers. Using the post engagement rate (PER) formula introduced by Socialbakers (2013) and adapted by Peñaflor (2018) and Magno (2016), this report identifies and analyzes the average PER Facebook pages maintained by academic libraries. The engagement metrics looked into the number of interactions and the widest reach possible in every post. All three academic libraries investigated maintain a Facebook page. The other account was just created last February 2020. To compare Facebook data during the pandemic times, public information available from June – August 2020 was measured.Results.The social media platforms operated by the academic libraries in Kazakhstan are Facebook, Twitter, Instagram, VK, and YouTube. One of the earliest academic library Facebook accounts established in Kazakhstan started in 2010 with less than 3,000 accumulated followers after ten years. This shows a very slow rise in the number of followers considering an academic population of more than 5, 000 people in 2020. Data revealed that Eurasian National University Library’s Facebook account had a higher PER of 0.83 even if it only debut in 2020 compared to the Facebook page of Nazarbayev University which garnered 0.22 PER. KAZNU Library’s Facebook page had the highest PER of 1.02.Conclusions.Facebook is the most popular social media platform across the globe but it is not the case in Kazakhstan. Library marketing and promotion in Kazakhstan needs to be addressed as public relations is not the primary focus. The utilization of social media as a tool for user engagement is not fully developed. One way to look at it is to consider library staffing and identify their marketing background. The pandemic situation must be the turning point of academic libraries to enhance their reach with their stakeholders. It was a test to know the readiness of the library in terms of online communication and interaction.

This article reports on a study of an online system for supporting professional learning within higher education. The system was developed through an iterative user-centred design process to ensure...

The purpose of this article is to examine key management principles that are crucial for sustainable social media engagement with library customers. To explore these principles, the Strategic Socia...

The development, delivery, uptake and use of climate services face numerous challenges including the fact that decision-makers often need information that is beyond the current scientific capability, insufficient capacity amongst climate service providers to be able to meet the demands from decision-makers, shortcomings in the awareness and understanding of available knowledge, and insufficient understanding by climate service providers of the needs of decision-makers. This article provides examples of the UK Met Office’s international climate service activities in Commonwealth small island states, China and Europe, highlighting specific challenges. Based on experiences developing and delivering climate services and collaborating with a range of actors, some approaches that help overcome, or at least reduce, these challenges include undertaking focused user engagement, collaboration and partnerships, developing prototypes and conducting trials of these prototypes with the users, evolving the science and the services based on the users’ needs to better serve societal needs.

Rooted in theories of competitiveness and social comparison, we model the effects of users’ structural and trait competitiveness on their engagement and performance growth in an informal learning environment. We hypothesise that game elements of points and leaderboards stimulate users’ structural competitiveness, which affects users’ engagement and has an inverted-U effect on performance growth. We further hypothesise that these effects are stronger among individuals with higher trait competitiveness. We tested our hypotheses using data from a natural experiment conducted over 300 days on 88,310 unique users who made 215,920 game interactions within the Cyber Detectives exhibit at the Tech Interactive museum in California. Our results are based on two objective measures of trait-competitiveness as both behaviour and outcome (percentile ranking on total time spent and number of badges earned, respectively), multiple objective measures of user engagement (time spent per attempt, number of reattempts, and daily user attempts), and an objective measure of performance growth (points). Results provide overall support to our hypotheses. We contribute to the gamification literature by providing strong causal evidence of points and leaderboards triggering structural and trait competitiveness, which interact to affect both engagement and performance growth in informal learning contexts.

The paper will explore how the UCL Student Centre, opened in 2019, responds to the emphasis on ‘research-based education’ in the UCL Education Strategy. It discusses the high levels of engagement a...

ZoaTrack.org is a web application for visualising and analysing animal biotelemetry data. This online facility offers a robust set of free and highly accessible tools, which enables the non-specialist and specialist to better manage, store, visualise and analyse animal location data. The majority of the data stored in the facility has been collected by animal-borne satellite biotelemetry devices (i.e. GPS and ARGOS), but other types of individual-based location data (mark-recapture, VHF, Acoustic) have also been uploaded to Zoatrack.org. The platform is in its 8th year and this paper presents a review of the platform’s user metrics and uptake by the research community. We also discuss the challenges in trying to sustain this type of research support facility and opportunities for the future.

This paper presents a study on data retrieved from a gamified team building application, which promotes employees’ joint sport activities. The aim of this work is to identify and evaluate behavior usage patterns, and user engagement indicators based on interaction data gained from the application and to determine key factors affecting engagement levels. In order to determine behavioral patterns, users have been tested for system use, for participation at events and competitions, and for having tendency in social interactions. The study classified three typologies of engaged users: the Achievers who are motivated by the reward of achieving long-term goals, the Socializers who enjoy interacting with others and the Conquerors who like struggling until they eventually achieve victory by defeating others. We were also able to reveal additional influencing factors beyond personal behavior patterns like the corporate culture and the importance of the ‘organizers’.

In recent years, there has been a substantial increase in the distribution of videos over the Internet, and this has become one of the major activities that attract extensive attention. This means that users expect to watch videos of the highest quality. Quality of experience (QoE) describes the degree of satisfaction or annoyance of a user when they are using a multimedia service or application. Meeting users’ expectations requires understanding the factors that influence QoE and efficiently managing resources to optimize video quality. The current objective approaches that assess QoE mostly rely on the analysis of video traffic. However, recent research has demonstrated that this approach cannot sufficiently evaluate perceived QoE and that multiple factors, including media technical features, influence QoE. It is crucial for service providers to identify the effects of social context, in addition to those of user-related, content-related, and system factors, on perceived QoE of the end user. Recent studies have focused on understanding the characteristics of user behavior and engagement, as well as the effect of these factors on QoE. In this study, we use social context factors and user engagement as subjective factors to structure a user QoE evaluation model. First, we study social context factors and user engagement characteristics and investigate their correlation with QoE. Next, we build a metric that estimates the end-to-end QoE for a specific aspect of user actions. Then, by simulating mathematical metrics, we employ machine learning models to predict QoE; finally, we validate this approach using metrics for statistical evaluation of quality prediction models.

Background Social media has become the fastest growing platform for sharing and retrieving information and knowledge, and YouTube is one of the most popular and growing sources of health and educational information video-sharing website. But, videos on this open platform are not peer-assessed, therefore, the accessible data should be adequately assessed. Till date, no exploration and analysis for assessing the credibility and usefulness of Medical professionalism videos available on YouTube are conducted. Objective To analyze the video sources, contents and quality of YouTube videos about the topic of medical professionalism. Methods A systematic search was accomplished on YouTube videos during the period between March 1, 2020 and March 27, 2020. The phrases as significant words used throughout YouTube web search were ‘Professionalism in Medical Education’, Professionalism in medicine’, ‘Professionalism of medical students’, ‘Professionalism in healthcare’. ‘Teaching professionalism’, ‘Attributes of professionalism’. The basic information collected for each video included author’s/publisher’s name, total number of watchers, likes, dislikes and positive and undesirable remarks. The videos were categorized into educationally useful and useless established on the content, correctness of the knowledge and the advices. Different variables were measured and correlated for the data analysis. YouTube website was searched the using keywords ‘Professionalism in Medical Education’, Professionalism in medicine’, ‘Professionalism of medical students’, ‘Professionalism in healthcare’. ‘Teaching professionalism’, and ‘Attributes of professionalism’. Results After 2 rounds of screening by the subject experts and critical analysis of all the 137 YouTube videos, only 41 (29.92%) were identified as pertinent to the subject matter, i.e., educational type. After on expert viewing these 41 videos established upon our pre-set inclusion/exclusion criteria, only 17 (41.46%) videos were found to be academically valuable in nature. Conclusion Medical professionalism multimedia videos uploaded by the healthcare specialists or organizations on YouTube provided reliable information for medical students, healthcare workers and other professional. We conclude that YouTube is a leading and free online source of videos meant for students or other healthcare workers yet the viewers need to be aware of the source prior to using it for training learning.

Health, social, and human service providers seek diverse ways to engage service users in the service production process. This approach to engagement with users is known as “coproduction.” I...

The current analysis of the visitors and the factors that explain the number of museum visits require approaches beyond the traditional methods normally adopted for cultural studies. The internet o...

The objective of this research is to increase understanding about B2B company-led user engagement on social media content. Building on hierarchy-of-effects (HoE) theory, we explore how the world’s leading B2B companies use content objectives (why), strategies (how), and tactics (what) on Twitter. We first integrate B2B advertising and social media research on companies’ content objectives, strategies, and tactics. Then, using qualitative analyses, we examine the existence of objectives, strategies, and tactics in the most engaging tweets (N = 365) of the worlds’ ten leading B2B brands, covering five industries, in 2017. Finally, we quantitatively examine how the use of diverse objectives and strategies differs between the most engaging tweets (N = 318) and least engaging tweets (N = 229) of the companies in 2018. The companies use objectives, strategies and tactics that relate to creating awareness, knowledge and trust, interest, and liking in the majority of their most and least engaging tweets, and express preference, conviction and purchase aspects much less. Differences exist in general, industry-wise, and company-wise. The study is a rare attempt to integrate the extant B2B advertising and social media research, and compare the most and least engaging B2B social media content.

Online health communities (OHCs) represent a great source of social support for patients and their caregivers. Better predictions of user activities in OHCs can help improve user engagement and retention, which are important to manage and sustain a successful OHC. This article proposes a general framework to predict OHC user posting activities. Deep learning methods are adopted to learn from users’ temporal trajectories in both the volumes and content of posts published over time. Experiments based on data from a popular OHC for cancer survivors demonstrate that the proposed approach can improve the performance of user activity predictions. In addition, several topics of users’ posts are found to have strong impact on predicting users’ activities in the OHC.

Crowdsourcing marketplaces have provided a large number of opportunities for online workers to earn a living. To improve satisfaction and engagement of such workers, who are vital for the sustainability of the marketplaces, recent works have used conversational interfaces to support the execution of a variety of crowdsourcing tasks. The rationale behind using conversational interfaces stems from the potential engagement that conversation can stimulate. Prior works in psychology have also shown that conversational styles can play an important role in communication. There are unexplored opportunities to estimate a worker's conversational style with an end goal of improving worker satisfaction, engagement and quality. Addressing this knowledge gap, we investigate the role of conversational styles in conversational microtask crowdsourcing. To this end, we design a conversational interface which supports task execution, and we propose methods to estimate the conversational style of a worker. Our experimental setup was designed to empirically observe how conversational styles of workers relate with quality-related outcomes. Results show that even a naive supervised classifier can predict the conversation style with high accuracy (80%), and crowd workers with an Involvement conversational style provided a significantly higher output quality, exhibited a higher user engagement and perceived less cognitive task load in comparison to their counterparts. Our findings have important implications on task design with respect to improving worker performance and their engagement in microtask crowdsourcing.

In recent years, political discourse in digital spheres has seen a rise in the use of infographics. The paper addresses an unexplored question about this phenomenon: which characteristics are assoc...

Digital assistive technology has potential for supporting older adults who depend upon community healthcare services. To boost the efficiency of those services, technological devices are often installed for care recipients as part of governed practice. However, the varying adoption of technology risks widening the digital divide. In response, the Assisted Living project engaged older adults in co-creating knowledge about users’ needs, to guide the development of technological solutions designed to support everyday living. This study sought to investigate how eight older adults in an assisted living facility in Norway, aged 81–92 years, evaluated user inclusion in a 3-year technology-oriented research project. Individual interviews, dialogue cafés, interventions with environmental sensors, and a final focus group discussion constituted sites for co-creation of knowledge. Participants’ answers to standardised questionnaires and statements during dialogue café meetings were collated into tables and the focus group discussion was thematically analyzed, with three themes identified: motivation for project engagement, experiencing and understanding participation in the project, and mixed feelings towards environmental sensors at home. The project revealed that older adults with impairments could nevertheless meaningfully contribute opinions about their needs. Applying a critical occupational perspective raised awareness regarding sociocultural assumptions about older adults in assisted living as frail and unable to participate, which may reinforce ageist and ableist stereotypes, as well as promote occupational injustice.

Social media has become a strategic tool for businesses and nonprofit organizations to connect with audiences. However, no comprehensive framework exists to support the continued improvement of soc...

This study aims to determine the factors that influence the performance of SISKEUDES in improving the quality of the Village Fund's financial statements. Village financial management has become very important as part of the accountability of village funds given by the government and is increasing every year. The SISKEUDES application is used to facilitate the administration of village fund financial reports. The application of the SISKEUDES application will accelerate the completion of financial reports of village funds accurately and on time. The population in this study was all villages totaling 8 villages in Gianyar Regency who received village funds. The sample is determined by the saturated or census sample method. The data analysis technique uses Smart-PLS 3.0. The results showed that: user involvement had a positive and significant effect on the performance of the SISKEUDES; the education and training program has a negative and not significant effect on the performance of the SISKEUDES; top management support has a negative and significant effect on the performance of the SISKEUDES. Key words: Siskeudes Performance, User Engagement, Training Programs, Top Management Support

In the social media era that has become part of life of today's society makes buying and selling activity through online media also become a commonplace. People are getting more comfortable making transactions through online media. The rise of online marketplace that sprung became an evidence that many people nowadays have no doubt selling or shopping on the internet. This research aims to study the visual strategy of BukaLapak and Tokopedia advertising campaigns. This study used the method of content analysis by collecting uploaded BukaLapak and Tokopedia video ads in their social media, especially Youtube channel. This study analyzes the visual strategies applied by BukaLapak and Tokopedia. The data collected are in the form of visual advertising campaign within the specified period of time. This research is expected to show how is the correlation between visual strategy used and its impact on user engagement on BukaLapak and Tokopedia Youtube channel.