Search

In this article, we define the technical requirements for a light field display to provide effective depth cues such as binocular disparity, motion parallax, and accommodation at a pixel resolution expected by the eye. These requirements are evaluated with respect to existing technologies (e.g.,integral imaging displays) or expected future ones (e.g., micro-light-emitting diode (LED) displays). Simulation of light field displays are proposed for different display sizes (smartphone, desktop, or TV), resolution per view, and pixel pitch. These simulations convey the main impact of the pixel pitch to reach the light field display goal in terms of depth cue requirements. The last part of the paper focusses on data generation issues: how to generate the necessary amount of views at the display side and what the adapted data formats are for such a purpose. The paper is associated with supplementary videos that will illustrate the view generation topic using a dedicated data format that is optimized for current graphics processing unit (GPU) processors. Video capture of early-stage light field displays will also be provided .

Haitham Jahrami,1,2 Mona Rashed,1,2 Maha M AlRasheed,3 Nicola Luigi Bragazzi,4 Zahra Saif,1 Omar Alhaj,5 Ahmed S BaHammam,6,7 Michael V Vitiello8 1Ministry of Health, Manama, Bahrain; 2Department of Psychiatry, College of Medicine and Medical Sciences, Arabian Gulf University, Manama, Bahrain; 3Department of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia; 4Department of Mathematics and Statistics, Laboratory for Industrial and Applied Mathematics (LIAM), York University, Toronto, ON, Canada; 5Department of Nutrition, Faculty of Pharmacy and Medical Sciences, University of Petra, Amman, Jordan; 6Department of Medicine, College of Medicine, University Sleep Disorders Center, King Saud University, Riyadh, 11324, Saudi Arabia; 7The Strategic Technologies Program of the National Plan for Sciences and Technology and Innovation in the Kingdom of Saudi Arabia, Riyadh, Saudi Arabia; 8Psychiatry & Behavioral Sciences, Gerontology & Geriatric Medicine, and Biobehavioral Nursing, University of Washington, Seattle, WA, 98195-6560, USACorrespondence: Haitham JahramiMinistry of Health, Manama, Bahrain, P.O. Box: 12 Tel +973 17286334Fax +973 17270637Email hjahrami@health.gov.bhPurpose: NOMOPHOBIA (NO MObile PHone PhoBIA) or problematic smartphone use is a psychological disorder in which people are afraid of being cut off from their mobile phones. Currently, there has been no direct assessment of mobile phone screen size in the home setting and its effect on nomophobia and related symptoms, such as insomnia. Thus, we investigated the association between nomophobia, insomnia, and mobile phone screen size in a young adult population in Bahrain.Patients and Methods: Using a descriptive, cross-sectional design, we surveyed participants aged 18 to 35 between August and September 2020 using an online questionnaire. Participants completed demographic questions and questions about personal mobile phones, the Nomophobia Questionnaire (NMP-Q), and the Insomnia Severity Index (ISI). The mobile phone screen size was determined using an open-source online database. Crude and adjusted regression analyses were fitted to examine the associations between the study variables.Results: A total of 549 individuals, 54% females, were included in the final analyses. One hundred and fourteen participants (21%) had severe nomophobia, and 81 (14%) had clinical insomnia. A strong positive pair-wise linear association was observed between NMP-Q and ISI β 0.15, P = 0.001. Age, sex, BMI, and mobile phone screen size showed no association with the NMP-Q.Conclusion: Nomophobia is very prevalent in young adult men and women, and it is closely associated with insomnia, regardless of mobile phone screen size, suggesting that mobile phone screen size should not be used as a proxy for hazardous usage.Keywords: blue light, insomnia, ISI, no mobile phone phobia, problematic smartphone use, sleep problems

Strong evidence supporting the top-down modulation of attention has come from studies in which participants learned to suppress a singleton in a heterogeneous four-item display. These studies have been criticized on the grounds that the displays are so sparse that the singleton is not actually salient. We argue that similar evidence of suppression has been found with substantially larger displays where salience is not in question. Additionally, we examine the results of applying salience models to four-item displays, and find prominent markers of salience at the location of the singleton. We conclude that small heterogeneous displays do not preclude strong salience signals. Beyond that, we reflect on how further basic research on salience may speed resolution of the attentional capture debate.

Responsive web design is a website design that can adjust each size on each device. Based on the results of several respondents, 60% of respondents agreed that some websites were not able to adjust the display size on the web, 50% of respondents agreed that design affects the convenience factor, 58% of respondents agreed that the main content and functionality of websites that are difficult to access via mobile devices, 53% of respondents agreed that the appearance of a website that was not attractive had a bad effect on the comfort factor of the respondents, 50% of respondents also agreed that the website was not able to adjust the size on every mobile device. From the results of this review, it can be concluded that an unresponsive website greatly affects the inconvenience of users in accessing information through the website.

Classic research in perception has suggested that visual context can impact how individuals perceive object characteristics like physical size. The current set of studies extends this work to an applied setting by examining whether smartphone display size can impact the perception of objects presented on smartphones. Participants viewed several target items, on two different sized virtual device displays based on actual consumer devices and were asked to make simple judgments of the size of presented objects. Results from both experiments confirm that display size impacts perceived size, such that larger displays cause users to significantly underestimate the size of objects moreso than smaller displays. This is the first study to confirm such an effect, and suggests that beyond aesthetics or cost, one’s personal choice of device might have additional performance consequences.

To better understand the impact of different screen sizes in cognitive training, study subjects performed an adaptive training task at three separate visual angles using a head-mounted display (HMD). Cognitive load was assessed using EEG and compared with task performance (accuracy and response time) for each condition. While previous studies found performance benefits corresponding to increased screen size in memory and learning tasks, our results suggest such benefits may only apply up to a visual angle of approximately 20°, after which increases in size become inversely correlated with task performance.

Smartphones are essential personal belongings today. However, smartphone buyers (SBs) are often hesitant in deciding what the best smartphone and rate plan to choose offered by telecom providers. Among many new smartphones, it is often difficult for users to choose the most suitable one in consideration of reaching the salient success aspiration level (SSAL) as close as possible, e.g., large battery capacity, and avoiding falling below the survival aspiration level (SAL) as far as possible, e.g., budget limitation, simultaneously. A novel hybrid weighted SSAL-SAL fuzzy goal programming (FGP) is proposed to assist SBs in finding satisfactory smartphones of their preferences with suitable rate plans. To meet different preferences, SBs can easily set different weights for each smartphone selection goal with linguistic terms, such as high, average, and low. In addition, these linguistic terms can easily be transformed into trapezoidal fuzzy numbers. The weights are then attached to goals in the objective function in the weighted SSAL-SAL-FGP model for choosing the most suitable smartphone. Moreover, this study also allows SBs to set the goal satisfaction levels as a preemptive priority for each goal in the FGP to find the most suitable rate plan option for the selected smartphone. The proposed approach allows SBs to select the best smartphones with suitable rate plans considering their priority preferences. In addition, SBs can save costs and precious time in finding their ideal smartphones and rate plan options. Finally, various examples are used to demonstrate the usefulness of the proposed weighted SSAL-SAL-FGP model, which allows SBs to set different weights for each goal with the intuitive method, such as linguistic terms or preemptive priority to select appropriate smartphones with suitable rate plans to match their habits and budgets. Besides, this study distributed an online questionnaire to investigate smartphone owners and found that female smartphone owners consider the battery capacity and the weight of the smartphone more crucial than the other criteria, while male smartphone owners prefer a smartphone with bigger screen size.

The rapid development of technology, especially in the digital field, has had a huge influence on the development of laptop features and specifications today. With the development of increasingly diverse features and specifications, it often makes users confused in choosing a laptop that suits user needs. Based on this, the authors are interested in creating a decision support system to assist users in choosing a laptop that fits the desired criteria using the Topsis method. The type of data used by the author is primary data obtained through interviews and direct observation of laptop users. The purpose of this study is to assist laptop users in choosing a laptop that suits their needs. There are 10 criteria obtained based on observations and interviews, namely price (C1), RAM (C2), Hard drive (C3), processor (C4), screen size (C5), VGA (C6), battery (C7), Laptop Weight (C8), and Warranty (C9). Secondary data were obtained through literature study and scientific writing related to laptop selection and the TOPSIS method. This research produces output that meets the objectives, which can assist users in choosing the laptop that best suits their needs and can facilitate users in the decision-making process so as to produce accurate, effective and efficient information.

Objectives: Computer usage has rapidly grown. This is because it helps to resolve problems, i.e., encountered in daily life by individuals. Various monitor screens that have been developed affect the user’s eyes. Screen size is one of the relevant impacts. Thus, this study compared the immediate effects of two computer screen sizes on visual fatigue in Video Display Terminal (VDT) users. Methods: Twenty female VDT users participated in this study. Using a randomized block design for the study, the study participants randomly drew a ballot to determine the order of using an 18.5-inch and 23-inch computer screen size. The research participants were assessed by a visual fatigue score, critical flicker frequency, and dry eye score before and after using both computer screen sizes. They were tested in an ergonomic computer workstation for 2 hours. Besides, where they rested between each workstation for ≥30 minutes or until presetting no eye fatigue symptoms. The relevant data were compared between before and after using the computers and between the two different screen sizes. Results: The collected results suggested no significant difference in the visual fatigue score, critical flicker frequency, and dry eye score between using either computer screen sizes (P>0.05). However, there were significant differences in the visual fatigue score, critical flicker frequency, and dry eye score between before and after computer screen usage (P

Mobile- and web-based psychological research are a valuable addition to the set of tools available for scientific study, reducing logistical barriers for research participation and allowing the recruitment of larger and more diverse participant groups. However, this comes at the cost of reduced control over the technology used by participants, which can introduce new sources of variability into study results. In this study, we examined differences in measured performance on timed and untimed cognitive tests between users of common digital devices in 59,587 (Study 1) and 3818 (Study 2) visitors to TestMyBrain.org , a web-based cognitive testing platform. Controlling for age, gender, educational background, and cognitive performance on an untimed vocabulary test, users of mobile devices, particularly Android smartphones, showed significantly slower performance on tests of reaction time than users of laptop and desktop computers, suggesting that differences in device latency affect measured reaction times. Users of devices that differ in user interface (e.g. screen size, mouse vs. touchscreen) also show significant differences (p

Smartphones nowadays have become the most globally demanded electronic devices. Each year, almost thousands of new smartphone models are launched by different brands having diverse specifications and variable price range. Due to the availability of large smartphone quantity in the market, sometimes the buyers get confused about the most appropriate model to buy at low price with respect to descent hardware specifications. This research article states such a type of decision problem and solves it using multi-criteria decision-making techniques that enable the mobile users to select the best smartphone model. The main objective of the study is to choose the best smartphone model among 10 selected models available in the market with the help of fuzzy analytical hierarchy process (FAHP) and preference ranking organization method for enrichment of evaluations (PROMETHEE) where FAHP based on trapezoidal fuzzy numbers is used to evaluate the criteria weights and PROMETHEE is used to propose the preference ranking order of the alternatives. Seven important specifications (i.e., criteria), namely price, storage capacity, RAM, battery, screen size, camera and clock speed, are considered based on which the selection procedure is carried out. PROMETHEE I provides the partial alternatives ranking and shows the mode of preference of each model over other models, whereas PROMETHEE II delivers the complete ranking of the alternatives which recommends Realme 5i and Samsung J6 Plus as the best and worst model, respectively, among the group.

Because of the COVID-19 pandemic, researchers are facing unprecedented challenges that affect our ability to run in-person experiments. With mandated social distancing in a controlled laboratory environment, many researchers are searching for alternative options to conduct research, such as online experimentation. However, online experimentation comes at a cost; learning online tools for building and publishing psychophysics experiments can be complicated and time-consuming. This learning cost is unfortunate because researchers typically only need to use a small percentage of these tools' capabilities, but they still have to deal with these systems' complexities (e.g., complex graphical user interfaces or difficult programming languages). Furthermore, after the experiment is built, researchers often have to find an online platform compatible with the tool they used to program the experiment. To simplify and streamline the online process of programming and hosting an experiment, I have created SimplePhy. SimplePhy can save researchers' time and energy by allowing them to create a study in just a few clicks. All researchers have to do is select among a few experiment settings and upload the stimuli. SimplePhy is able to run most psychophysical perception experiments that require mouse clicks and button presses. In addition to collecting online behavioral data, SimplePhy can also collect information regarding the estimated viewing distance between the participant and the monitor, the screen size, and the experimental trial's timing-features not always offered in other online platforms. Overall, SimplePhy is a simple, free, open-source tool (code can be found here: https://gitlab.com/malago/simplephy ) aimed to help labs conduct their experiments online.

This study aims to assess, the extent to which students at Northern Frontier University, accept learning by phone during quarantine, to reduce the spread of the Coronavirus. Results of unified theory of acceptance and use of technology model (UTAUT model), indicated that performance expectancy, effort expectancy, social influence, perceived playfulness and self-management of learning, were all significant determinants of behavioural intention to use m-learning. Age differences did not moderate the effects of effort expectancy and social influence on m-learning use intention, nor gender differences moderated the effects of social influence and self-management of learning on m-learning use intention. The small screen size and difficulty of typing on a mobile keyboard are among the most important difficulties of m-learning. These findings revealed that decisionmakers, in the higher education sector, could use mobile learning to develop distance learning, especially in supplementary programs.

Rapid scientific and technological advances in the field of ubiquitous computing have stimulated the gradual popularization of handheld devices. Mobile devices, such as personal digital assistants (PDAs) and smartphones, are being used increasingly to accomplish tasks originally performed by desktop computers (e.g., viewing emails, writing documents, watching movies and television programs, and following stock markets). Although mobile devices offer the convenience of portability, their displays are very different from those of desktop computers. Due to the size limitations of handheld devices, only a limited amount of information can be displayed at one time. Users are challenged by the need to efficiently read large blocks of text or handle multiple tasks simultaneously on the screens of small devices as opposed to the larger screens on desktop computers. Numerous studies have identified one possible means of overcoming the limitations of small screen size; namely, by using dynamic displays in which the material on-screen moves (Kolers, Duchnicky, & Ferguson, 1981; Sekey & Tietz, 1982; Juola, Tiritoglu, & Pleunis, 1995; Rahman & Muter, 1999; Bernard, Chaparro, & Russell, 2001; Wang & Kan, 2004; Chen & Chien, 2005a, 2005b; Shieh & Hsu, 2005). The difference between static and dynamic displays is that the display space can be traded for time to present temporal information dynamically (de Bruijn, Spence, & Chong, 2002). In contrast, text materials are presented spatially on static displays. Dynamic displays are frequently used to present notifications to users while they are reading static information. For example, in one leading display currently used on websites, a string of text moves from right to left along a single line within a small screen, which is a format

Advances in information technologies have resulted in people spending increasing amounts of time staring at electronic screens. Long-term use of computers, mobile phones, and tablets can cause eye soreness and fatigue, but can also cause more serious conditions including myopia, cataracts, and glaucoma. This study assesses changes in brain wave activity detected by eight electrodes targeting different brain regions to identify and assess the brain wave patterns in the regions associated with visual fatigue under various visual presentation methods. Furthermore, linear discriminant analysis and Min–Max scaling techniques are applied to develop a visual fatigue assessment model to quantify visual fatigue. Finally, experiments are run to assess the impact of screen size (smartphone, tablet, computer) and visual presentation mode (2D, 3D, AR, VR) on visual fatigue. This study finds that (1) the brain wave features which influence the reaction to 2D and 3D imaging are the delta and theta waves at the prefrontal Fp1 and Fp2 poles. When viewing AR images, the alpha bands at the O1 and O2 poles of the occipital lobe show a relatively clear impact, while the delta and theta waves at the C3 pole in the left center area are associated with VR images; (2) larger screens cause greater visual fatigue, indicating that excessive visual stimulation will increase visual loading and thus produce greater visual fatigue; (3) the results show that VR can cause quite severe visual fatigue, along with motion sickness passed on sensory mismatch. Therefore, it is recommended to avoid viewing experiences that are inconsistent with the brain’s physiological experience, such as walking while viewing a mobile phone, or reading in a moving car. The proposed visual fatigue assessment model provides easy and objective quantification of visual fatigue indicators, contributing to the reduction of risk for eye injury and disease.

Driver distraction is a major cause of road crashes and has a great influence on road safety. In vehicles, one of the common distracting sources is navigation systems (NSs). The navigation system (NS) can distract the driver due to following directions and reading the provided information through its display. These tasks take the driver’s attention from the primary task of driving and may cause poor driving performance, increasing the risk of crashes. In this paper, the effect of the environment (i.e., urban areas and rural areas), the navigation system display (NSD) size, environmental illumination, and gender on young drivers between the ages of 18 and 29 years mental workload was investigated using a simulated driving experiment. To evaluate each driving condition, the NASA-TLX (NASA Task Load Index) workload assessment tool, and a distraction evaluation element, were introduced and used to assess the overall workload, the workload subscales and the distraction by the NSD. The assessment showed a higher perceived overall workload for urban areas and night driving as compared to a rural areas and daytime driving. Moreover, the results showed a greater perceived distraction by the NSD in urban areas compared to driving in rural areas. The subjects also felt distracted when using the small NS compared to using the large NS. The study concluded that urban areas driving, and night driving creates higher perceived workload than rural areas and daytime driving. Furthermore, small NSD leads to more perceived distraction than large NSD while driving. The NSD designers may utilize this research findings to optimize NSD designs to improve driving safety, performance and comfort. Moreover, this study contributes to our understanding of the effect of the NSD size on driving workload and distraction.

The screen size and the resolution of the displays available to the consumer market have been steadily increasing. According to established vision science, there are limits to the human visual system for the perceptibility of resolution at typical viewing distances. This paper discusses a subjective evaluation that was performed to assess the perceptual difference between UHD-1/4K and UHD-2/8K for various types of content on an UHD-2/8K consumer display. It also performs a detailed frequency and visibility analysis of the content to determine the characteristics of the most perceptual content and establishes a relationship between the subjective test results and the vision science .

In the development of the technology, the variety of notebook has become diverse. It can be differed by its rice, model, type, and functionality, such as weight, screen size, processor, hard disk, memory (RAM), and graphic card. All of that diversity has become the consideration by the one who looking for a notebook. There has a problem where the buyer is so confused in deciding which notebook that is suitable with their needs. Decision support system is considered as one of the solutions to handle that kind of problem. Fuzzy Tahani Algorithm that uses the relative and qualitative natural language as the user input criteria is believed to be able to help the notebook buyer in making the decision. The result is shown that the decision support system for purchasing multi criteria product such as notebook, based on the user input criteria with the Fuzzy Tahani algorithm, is able to help the user to get the alternative product that can be recommended to them.

Student council election is a routine school activity every year, but currently the student council election is done manually using ballot papers containing the candidates. The weakness of this system is in addition to the process of getting longer results, it is also prone to fraud due to the excess of manipulated ballot papers, as well as being less environmentally friendly. Therefore the need for a system that is able to provide solutions to these problems, one of which is a responsive web-based student council election system. Web-based systems are more common than mobile-based systems, because they are supported by all device platforms, different if only based on mobile (Android), only devices based on the Android operating system can use the application. Moreover, web technology is now very good, responsive web allows the display of web pages to adjust to the user's screen size automatically, responsive web framework used in this study is bootstrap. In this study, researchers used a software development model which is a prototype. And for the tools used in developing this application is the Unified Modeling Language, and the system testing method uses a blackbox. The results of this study are expected to provide results in the form of a system that is fast and accurate, cost effective and environmentally friendly. Keywords: e-voting, bootstrap, prototype

We face delays in a variety of situations. They are either inevitable, e.g., due to system limits, or are intentionally added, e.g., advertisements. In many situations, a visual feedback is provided during the delay to manage expectations. This feedback is usually provided through progress bars, percentages, or countdowns, depending on design limitations such as screen size. In this article, we use 15-second delays and examine (a) how delays affect users’ decision-making and task satisfaction, and (b) how to manipulate time perception to reduce the negative consequences of delays. Experiment 1 ( N =421) shows that faster countdowns increase task satisfaction and lead to more rational decisions in the subsequent task. In Experiment 2, we investigate the effect of countdown speed on delay perception and recall ( N =531). We show that faster countdowns lead to shorter perceived delays, while the delay will be recalled as longer after the task. The opposite is obtained for slower countdowns. We also increased the countdown rate and found a limit for the effect of increased speed. Thus, designers have to trade-off between how delays are perceived at the moment of experience and how they are recalled. We discuss the implications of these findings for user interface design.

The goal of learning to count addition, subtraction, multiplication and division can have a positive impact for student to play because it can attract student to prefer learn while playing. The motivations for the player to play the game are interesting and not bored because this game is concept education. The aim of this research is to help students learn and love mathematics well. The objective of this research is to train student to play while counting. Researcher use use a game maker to develop this game and adobe photoshop for design. Researcher use a game maker to develop this game and adobe photoshop for design. The first idea of this game is not to make a fire, but wants to make the player jump to touch a block that contains a question mark so that it will reveal either poison or medicine. If medicine, Ben has extra point but if poison, he must to answer the question again. However, the idea is further expanded to make the barrier because the game is only for children aged 12 and below. Problem software development when compile many error at the system and must to reduce unimportant views and display size resolution because of the many elements causing game maker to run. The suggestion for this game is screens need to be raised to attract children to plays.

Previous research has mainly focused on the determinants of consumers’ complaint channel choices. Little attention has been paid to the behavioral consequences of different complaint channels, particularly different complaint devices. Drawing on spatial crowding perception theory, this study finds that in an online complaint context, consumers’ complaint intensity is shaped by complaint devices that differ in screen size. Crowding perception produced by visually restrictive tension mediates the relationship between the screen size of the complaint device and the complaint intensity. The results of secondary data confirm that consumers’ complaint intensity is higher while complaining through a small-screen device (as opposed to a large-screen one). Three scenario-based experiments are conducted to examine the role of perceived spatial crowding in producing a more intense complaint behavior when complaints are submitted through smaller screen devices (as opposed to larger screen devices). The fourth experiment reveals that crowding perception can be lessened by adjusting certain design elements of the interface, ultimately mitigating the intensity of the complaint submitted through a small-screen device. Our research identifies the specific causality and underlying mechanism of the influence of device type on consumers’ postconsumption behavior, thus contributing to clarify some ambiguities in the literature.

I examine how characteristics of investors’ information access tools change investors’ reactions to firm disclosures. I examine my research question in the context of information choice (i.e., allowing investors to choose the order of information and sections to read within a disclosure) and spatial layout (i.e., how information is displayed when viewing the disclosure). Results of an experiment are consistent with information choice improving investors’ judgments if the disclosure is viewed on a computer screen. Conversely, and consistent with cognitive overload, information choice harms investors’ judgments if the disclosure is viewed on a smaller screen, such as that of a mobile device. Follow‐up experiments show that changing the disclosure presentation to reduce the need to scroll is one way to improve investors’ judgments on a smaller (or mobile) screen. My findings caution firms and regulators about expanding information choice within disclosures without considering the screen size used to access the disclosure.

While online experiments have shown tremendous potential to study larger and more diverse participant samples than is possible in the lab, the uncontrolled online environment has prohibited many types of psychophysical studies due to difficulties controlling the viewing distance and stimulus size. We introduce the Virtual Chinrest, a method that measures a participant’s viewing distance in the web browser by detecting a participant’s blind spot location. This makes it possible to automatically adjust stimulus configurations based on an individual’s viewing distance. We validated the Virtual Chinrest in two laboratory studies in which we varied the viewing distance and display size, showing that our method estimates participants’ viewing distance with an average error of 3.25 cm. We additionally show that by using the Virtual Chinrest we can reliably replicate measures of visual crowding, which depends on a precise calculation of visual angle, in an uncontrolled online environment. An online experiment with 1153 participants further replicated the findings of prior laboratory work, demonstrating how visual crowding increases with eccentricity and extending this finding by showing that young children, older adults and people with dyslexia all exhibit increased visual crowding, compared to adults without dyslexia. Our method provides a promising pathway to web-based psychophysical research requiring controlled stimulus geometry.

Survey participation by means of mobile devices is quickly spreading in many countries. This new kind of participation stimulated a lot of methodological interest. Indeed, mobile devices (and smartphones, mostly) have different characteristics in comparison to PCs, in particular a higher portability and smaller screens. Previous research has been focused mainly on experiments comparing PC and mobile survey participation. Only few studies specifically took into consideration the screen size of the mobile devices as a factor that can affect the quality of web surveys data. However, the size of the screens was always considered a key aspect in the framework of web surveys. This paper aims at evaluating how the screen size of the mobile devices can affect the results and the data quality in web surveys. Our analysis, first, takes into account two wide categories: PCs (i.e., “big screen”) and smartphones (i.e., “small screens”). Then, within the data collected on smartphones, we evaluate the effect of the device size on several indicators such as answers consistency across waves, failures to the Instructional Manipulation Check (IMC) question, and completion times. We use data from an experiment implemented in 2015 by means of a two-wave survey proposed to more than 1,000 panelists of the online access panel Netquest, in Spain. In the two waves we proposed the same questionnaire, but respondents were assigned randomly to different devices (PC or smartphone). We expect the size of the screen to affect the quality and the comparability of the collected data. When the screens are really small, the answer inconsistencies, failure of the IMC and completion times are expected to be higher, mainly when the survey is not optimized for mobile participation. Overall, our findings will provide a more precise idea about the comparability and the relative quality of data collected by means of web surveys depending on the size of the device.

Inspired by cartographic generalization principles, we present a generalization technique for rendering line charts at different sizes, preserving the important semantics of the data at that display size. The algorithm automatically determines the generalization operators to be applied at that size based on spatial density, distance, and the semantic importance of the various visualization elements in the line chart. A qualitative evaluation of the prototype that implemented the algorithm indicates that the generalized line charts pre-served the general data shape, while minimizing visual clutter. We identify future opportunities where generalization can be extended and applied to other chart types and visual analysis authoring tools., Comment: 5 pages (4 + 1 page references), 4 figures

Musical pieces composed for the piano are registered on paper sheets. Since the space for sheets on the piano is limited, pianists have to turn pages while playing the piano to get access to the registered without having to stop playing. In this work, we present two methods to support page turning during piano play: 1) turning by touch and 2) turning by pedal in combination with two types of note layouts in (1) DIN A4 and (2) an adaptive display size. We compared these page turning methods to the baseline of using paper pages with 10 participants in a controlled lab experiment. Our results show that the pedal-adaptive turning method leads to the lowest interruption time while playing and pedal-based methods have a high usability and low cognitive load.

Touch screen interactions have been linked to repetitive strain injuries. Their use as an input channel to user interfaces can also have limitations due to screen size or mobility constraints. In this work, we investigate the feasibility of a neck-mounted wearable interface for software interaction, using only subtle head movements. Technologies and configurations for sensoring the neck region, including e-textiles and flex sensors, are considered. The type and placement of the sensors are evaluated. An end-to-end prototype system is developed, which takes the sensor readings from the bespoke neck hardware and wirelessly transmits them to a smart phone, for carrying-out the motion classification and interfacing with applications. The classification accuracy of common head movements using classical machine learning algorithms are evaluated. A classification accuracy of 91% is achieved with data collected from the prototype, for a library of five common head gestures and positions.

Current display technologies are limited in projecting floating ultra-high definition images on multiple layers, preventing applications in augmented reality for medical education. Computer-generated holography (CGH) with custom algorithms allows for displaying floating 3D images for augmented reality applications. The limitation of existing 3D display technologies is the lack of clearly-defined anatomical structures and models for medical education The custom algorithm was based on microoptical adaptation of the natural superposition compound human eye with the help of a virtual Gabor superlens and a layering technique. High-resolution Spatial Light Modulators (SLMs) can enable increasing the field of view and display size in CGH. The 3D holographic projection applications require an enlarged field of view for multi-user purposes and can be implemented to deliver presentations from remote settings and as non-invasive practical education in medicine. This technology targets academic medical centres, hospitals and clinics as well as research laboratories. In this work, a layered holographic projection method was developed to display high-resolution (3840×2160 px) 3D floating images in direct-view mode targeting medical education. A computational algorithm was created based on a phase retrieval algorithm and a virtual Gabor superlens to project a hologram on the Liquid Crystal on Silicon (LCoS) display panel of an UHD SLM. A code was programmed for generating multilayer 3D in-eye projections by adding multiple retrieved holograms with an independent Gabor zone plate into each single hologram. The reconstructions were obtained with a HeNe laser (633 nm, 5 mW) and the UHD SLM with reflective phase modulation. 3D holograms were directly observed floating as a ghost image at variable focal distances.

Toji, Tsubasa, Itino, Takao (2021): Differences in the flower visitor behaviour on female and hermaphroditic flowers of Cimicifuga simplex. Journal of Natural History 55 (19-20): 1289-1298, DOI: 10.1080/00222933.2021.1946611, URL: http://dx.doi.org/10.1080/00222933.2021.1946611

Wrist-worn devices hold great potential as a platform for mobile health (mHealth) applications because they comprise a familiar, convenient form factor and can embed sensors in proximity to the human body. Despite this potential, however, they are severely limited in battery life, storage, band-width, computing power, and screen size. In this paper, we describe the experience of the research and development team designing, implementing and evaluating Amulet - an open-hardware, open-software wrist-worn computing device - and its experience using Amulet to deploy mHealth apps in the field. In the past five years the team conducted 11 studies in the lab and in the field, involving 204 participants and collecting over 77,780 hours of sensor data. We describe the technical issues the team encountered and the lessons they learned, and conclude with a set of recommendations. We anticipate the experience described herein will be useful for the development of other research-oriented computing platforms. It should also be useful for researchers interested in developing and deploying mHealth applications, whether with the Amulet system or with other wearable platforms.