User Experience Evaluation Research Articles

EXPERIENCE EVALUATION OF ONLINE CINEMA TICKET APPLICATIONS WITH USER EXPERIENCE QUESTIONNAIRE

The mobile ticketing application makes it easy for film viewers to order movie tickets online without time or location restrictions. In Indonesia, there are three online cinema ticket mobile application which is widely used by audiences cinemas, namely M-Tix, TX ID and Mtix. All three are competitors in the market the same, namely the mobile ticketing service for purchasing cinema tickets. Observation results shows that the number of one star reviews for the M-Tix, TX ID mobile application and there are still quite a lot of Mtix on the Google Play Store, the reviews are generally there related to user experience issues. This research aims to find out the results of evaluating user experience on the M-Tix mobile application, TIX ID and Mtix uses the User Experience Questionnaire (UEQ). This research has criteria for respondents who are M-Tix, TIX ID and Mtix mobile application users at least 18 years old. This research shows that the results of experience evaluation users on the M-Tix mobile application, namely the Attractiveness variable (Mean = 2.176), Perspicuity (Mean = 1.150), efficiency (Mean = 2.176), Dependability (Mean = 2.082), Stimulation (Mean = 2.075), and Novelty (Mean = 1.821). Experience evaluation results users on the TIX ID mobile application based on variable UEQ measurements Attractiveness (Mean = 1.786), Perspicuity (Mean = 0.991), efficiency (Mean = 1.920), Dependability (Mean = 1.723), Stimulation (Mean = 1.402), and Novelty (Mean = 1,277). And the results of the evaluation of the Cinepolis user experience Attractiveness (Mean = 2,273), Perspicuity (Mean = 1,159), efficiency (Mean = 2,330), Dependability (Mean = 2,216), Stimulation (Mean = 2,284), and Novelty (Mean = 2,000).

Designing a Clinician-Centered Wearable Data Dashboard (CarePortal): Participatory Design Study.

The recent growth of eHealth is unprecedented, especially after the COVID-19 pandemic. Within eHealth, wearable technology is increasingly being adopted because it can offer the remote monitoring of chronic and acute conditions in daily life environments. Wearable technology may be used to monitor and track key indicators of physical and psychological stress in daily life settings, providing helpful information for clinicians. One of the key challenges is to present extensive wearable data to clinicians in an easily interpretable manner to make informed decisions. The purpose of this research was to design a wearable data dashboard, named CarePortal, to present analytic visualizations of wearable data that are meaningful to clinicians. The study was divided into 2 main research objectives: to understand the needs of clinicians regarding wearable data interpretation and visualization and to develop a system architecture for a web application to visualize wearable data and related analytics. We used a wearable data set collected from 116 adolescent participants who experienced trauma. For 2 weeks, participants wore a Microsoft Band that logged physiological sensor data such as heart rate (HR). A total of 834 days of HR data were collected. To design the CarePortal dashboard, we used a participatory design approach that interacted directly with clinicians (stakeholders) with backgrounds in clinical psychology and neuropsychology. A total of 8 clinicians were recruited from the Rhode Island Hospital and the University of Massachusetts Memorial Health. The study involved 5 stages of participatory workshops and began with an understanding of the needs of clinicians. A User Experience Questionnaire was used at the end of the study to quantitatively evaluate user experience. Physiological metrics such as daily and hourly maximum, minimum, average, and SD of HR and HR variability, along with HR-based activity levels, were identified. This study investigated various data visualization graphing methods for wearable data, including radar charts, stacked bar plots, scatter plots combined with line plots, simple bar plots, and box plots. We created a CarePortal dashboard after understanding the clinicians' needs. Results from our workshops indicate that overall clinicians preferred aggregate information such as daily HR instead of continuous HR and want to see trends in wearable sensor data over a period (eg, days). In the User Experience Questionnaire, a score of 1.4 was received, which indicated that CarePortal was exciting to use (question 5), and a similar score was received, indicating that CarePortal was the leading edge (question 8). On average, clinicians reported that CarePortal was supportive and can be useful in making informed decisions. We concluded that the CarePortal dashboard integrated with wearable sensor data visualization techniques would be an acceptable tool for clinicians to use in the future.

Development of a Framework for the Communication System Based on KNX for an Interactive Space for UX Evaluation

Domotics (Home Automation) aims to improve the quality of life of people by integrating intelligent systems within inhabitable spaces. While traditionally associated with smart home systems, these technologies have potential for User Experience (UX) research. By emulating environments to test products and services, and integrating non-invasive user monitoring tools for emotion recognition, an objective UX evaluation can be performed. To achieve this objective, a testing booth was built and instrumented with devices based on KNX, an international standard for home automation, to conduct experiments and ensure replicability. A framework was designed based on Python to synchronize KNX systems with emotion recognition tools; the synchronization of these data allows finding patterns during the interaction process. To evaluate this framework, an experiment was conducted in a simulated laundry room within the testing booth to analyze the emotional responses of participants while interacting with prototypes of new detergent bottles. Emotional responses were contrasted with traditional questionnaires to determine the viability of using non-invasive methods. Using emulated environments alongside non-invasive monitoring tools allowed an immersive experience for participants. These results indicated that the testing booth can be implemented for a robust UX evaluation methodology.

An empirical study on user experience evaluation of VR interface in digital museums

Virtual reality (VR) has been increasingly introduced to digital museums to enable more immersive experiences. However, there is a lack of comprehensive evaluation for user experience in VR-based digital museums. A comprehensive framework for evaluating user experience of VR interfaces in digital museums was created. Based on this framework, the study conducted an experiment to investigate learning effectiveness in VR-based digital museums and compared user experience on desktop and mobile devices. A total of 45 participants were recruited. They were asked to visit a digital museum on either a desktop or a mobile device. After they completed their visit, they took a recognition test and a recall test to measure their effectiveness of learning. Their user experience was evaluated using a new scale, followed by an open-ended interview to collect their opinions and feedback. It was found that introducing VR to the digital museum helped increase users’ effectiveness of learning. Significant differences existed between the desktop and mobile VR interfaces in user experience. It means that previous research findings cannot be directly applied to the user experience of digital museums on mobile. These empirical evidences also suggest that the established framework is effective for evaluating the user experience in VR-based digital museums.

Influence of spatial frequency in visual stimuli for cVEP-based BCIs: evaluation of performance and user experience.

Code-modulated visual evoked potentials (c-VEPs) are an innovative control signal utilized in brain-computer interfaces (BCIs) with promising performance. Prior studies on steady-state visual evoked potentials (SSVEPs) have indicated that the spatial frequency of checkerboard-like stimuli influences both performance and user experience. Spatial frequency refers to the dimensions of the individual squares comprising the visual stimulus, quantified in cycles (i.e., number of black-white squares pairs) per degree of visual angle. However, the specific effects of this parameter on c-VEP-based BCIs remain unexplored. Therefore, the objective of this study is to investigate the role of spatial frequency of checkerboard-like visual stimuli in a c-VEP-based BCI. Sixteen participants evaluated selection matrices with eight spatial frequencies: C001 (0 c/°, 1×1 squares), C002 (0.15 c/°, 2×2 squares), C004 (0.3 c/°, 4×4 squares), C008 (0.6 c/°, 8×8 squares), C016 (1.2 c/°, 16×16 squares), C032 (2.4 c/°, 32×32 squares), C064 (4.79 c/°, 64×64 squares), and C128 (9.58 c/°, 128×128 squares). These conditions were tested in an online spelling task, which consisted of 18 trials each conducted on a 3×3 command interface. In addition to accuracy and information transfer rate (ITR), subjective measures regarding comfort, ocular irritation, and satisfaction were collected. Significant differences in performance and comfort were observed based on different stimulus spatial frequencies. Although all conditions achieved mean accuracy over 95% after 2.1 s of trial duration, C016 stood out in terms user experience. The proposed condition not only achieved a mean accuracy of 96.53% and 164.54 bits/min with a trial duration of 1.05s, but also was reported to be significantly more comfortable than the traditional C001 stimulus. Since both features are key for BCI development, higher spatial frequencies than the classical black-to-white stimulus might be more adequate for c-VEP systems. Hence, we assert that the spatial frequency should be carefully considered in the development of future applications for c-VEP-based BCIs.

A user experience evaluation of a mobile application for disseminating site‐specific impact‐based flood warnings: The A4alerts app

AbstractPeople‐centred early warning systems must ensure that their warnings are timely, actionable and get to the largest number of exposed individuals in the shortest time possible. Due to the increased access to high‐bandwidth communication, mobile applications have become a valuable complement to traditional sources of emergency information. However, there is limited research on how useful end‐users perceive these apps and their functionalities in the context of flood emergencies. This research presents the first online user experience evaluation of the A4alerts, a crisis app developed to disseminate the flood warnings triggered by the operational impact‐based early warning system in Catalonia, Spain. Following an interactive experiment using the A4alerts app to access emergency information within real‐based flood scenarios, participants were prompted to measure their experience using statements linked to criteria on usefulness, functional appropriateness, and adoption. The evaluation results suggest that sampled participants considered the A4alerts a useful communication tool to support end‐users and their emergency actions. In particular, the local impact‐based flood warnings, regional official warnings and self‐protection action checklist were ranked as the most useful functionalities implemented within the app. These findings justify future iterations of the A4alerts for supporting the rapid dissemination of emergency information and helping communities reduce the impacts of flood events.

User Experience Evaluation of Upper Limb Rehabilitation Robots: Implications for Design Optimization: A Pilot Study.

With the development of science and technology, people are trying to use robots to assist in stroke rehabilitation training. This study aims to analyze the result of the formative test to provide the orientation of upper limb rehabilitation robot design optimization. We invited 21 physical therapists (PTs) and eight occupational therapists (OTs) who had no experience operating any upper limb rehabilitation robots before, and 4 PTs and 1 OT who had experience operating upper limb rehabilitation robots. Data statistics use the Likert scale. The general group scored 3.5 for safety-related topics, while the experience group scored 4.5. In applicability-related questions, the main function score was 2.3 in the general group and 2.4 in the experience group; and the training trajectory score was 3.5 in the general group and 5.0 in the experience group. The overall ease of use score was 3.1 in the general group and 3.6 in the experience group. There was no statistical difference between the two groups. The methods to retouch the trajectory can be designed through the feedback collected in the formative test and gathering further detail in the next test. Further details about the smooth trajectory must be confirmed in the next test. The optimization of the recording process is also important to prevent users from making additional effort to know it well.

Taxonomy and definition of audio augmented reality (AAR): A grounded theory study

AR applications have mostly considered visual augmentations while excluding other modalities. Recent developments in audio augmented reality (AAR) applications have been based on the definitions of visual AR or mixed reality (MR), and thus, AAR technology development has lacked systematic efforts. We investigated the concept of augmented reality through audio to provide a systematic understanding and generate a taxonomy and a definition for AAR. A conference workshop (N = 28), focus groups (N = 18), and expert interviews (N = 6) generated qualitative data regarding the concept of AAR. Grounded Theory (GT) was used to analyze the data and produce a new taxonomy and a definition. The AAR taxonomy consists of three categories – Environment Connected, Goal Directed, and Context Adapted, with three subcategories respectively. The need for a separate taxonomy for AAR is highlighted to aid in the development of AAR applications in a systematic manner. The taxonomy is expected to be used as a heuristic tool that can guide developers to build AAR applications and can be used in evaluating user experience with AAR applications.

Educational Seismology through an Immersive Virtual Reality Game: Design, Development and Pilot Evaluation of User Experience

Virtual Reality (VR), especially in its immersive form, is a promising technology employed to support education and training in various fields. VR offers unique opportunities to experience situations and environments that are otherwise inaccessible or risky. Educational Seismology aims to inform and educate the public on earthquakes; to this end, the use of VR is investigated as an attractive solution. VRQuake is an immersive VR application designed and developed for Educational Seismology purposes. VRQuake is structured in five consecutive scenes and is organized as a game. It allows users to interact with virtual objects in real time and apply learned rules and good practices in reaction to an earthquake, thus providing a dynamic learning environment. A pilot evaluation of VRQuake is performed by volunteer university students who play the game and then answer a questionnaire with closed- and open-type questions referring mostly to the user experience. Analysis of the answers has shown positive results regarding usability, clarity and acceptance of the application. Answers are also encouraging as to the educational potential of VRQuake. Furthermore, qualitative analysis of open-type questions has contributed user suggestions and demands that point to interesting new directions for further improvement of user experience and learning outcomes.

Evaluasi User Engagement dan User Experience pada Aplikasi Satu Sehat

Various efforts to prevent and trace the wider spread of the Covid-19 Virus have been carried out by the government. One of them is done with through technology by providing the application namely SatuSehat application which has variety of features aimed on helping the society. However, along with the imminent evolution of this application into SatuSehat application, these various features that exist, are still rarely known by the public. In addition, from previous studies, there are user experience evaluation has been carried out which shows that low evaluation results. Even though this application has been widely downloaded by the public. This study is aimed at re-measuring the user experience of SatuSehat application and is accompanied by user engagement evaluation to SatuSehat application and its relationship with the user experience. User experience evaluation will utilize the UEQ-S method while the user engagement evaluation will utilize the UEQ-SF method. The results showed that SatuSehat application has a positive overall user experience evaluation result which is supported by quite good user engagement evaluation results. The results of the study even show that there is a strong correlation between user engagement and user experience from the SatuSehat application.

A co-produced service evaluation of ethnic minority community service user experiences of a specialist mental health service during the COVID-19 pandemic

BackgroundFor ethnic minority communities in the UK, the COVID-19 pandemic amplified existing health inequalities and created other consequential disadvantages like increased vulnerability to COVID-19, higher rates of hospital admissions, increased mortality and poorer mental health outcomes. While longer-term impacts of COVID-19 are considered, it is crucial for NHS mental health services to understand the specific barriers and needs of ethnic minority communities to provide consistent and equitable access to mental health services. These aspects were the focus of a service evaluation of a Sussex-wide mental health service conducted in co-production with experts-by-experience, public members, health professionals and researchers from ethnic minority communities.MethodsCo-designed creative workshops (n = 13) and semi-structured qualitative interviews (n = 13) were used to explore experiences of accessing specialist mental health services during the COVID-19 pandemic. Participants were: Sussex Partnership NHS Foundation Trust (SPFT) service users recruited between October 2021 and January 2022; aged 16+; from ethnic minority community backgrounds. Data was analysed using Thematic Analysis.ResultsThe analysis yielded five overarching themes contextualising service users’ experiences: (1) limited awareness of SPFT mental health services; (2) effects of COVID-19 in gaining access to SPFT; (3) SPFT reaching out to ethnic minorities; (4) being supported, 4a) hiding my mental health status from friends and families, 4b) lack of ethnic diversity in services, and 4c) better provision of information and support services, (5) relationship between childhood experiences and current mental health. These findings led to seven key recommendations for future service developments within SPFT.ConclusionsAlthough this evaluation was set in the context of COVID-19, findings have highlighted specific mental health service needs for ethnic minorities that are applicable beyond the confines of the pandemic. Many benefited from online sessions seen as more inclusive. Mental health advocates, outreach and joint working with communities could help further reduce stigmatising attitudes and improve engagement with mental health services. Improved service awareness of the impact of childhood or historical traumas experienced by ethnic minority communities on current mental health, the role of cultural awareness training and availability of culturally adapted therapies is also needed. Many service improvement recommendations provided could impact all service users.

Different Frameworks, Similar Results? Head-to-Head Comparison of the Generic Preference-Based Health-Outcome Measures CS-Base and EQ-5D-5L.

We compared two generic, preference-based health-outcome measures: the novel patient-centered Château-Santé Base (CS-Base), entailing a multi-attribute preference response framework, and the widely used EQ-5D-5L, regarding effects of different measurement frameworks and different descriptive systems. We conducted a cross-sectional study using a random sample of patients (3019 reached, 1988 included) in the USA with various health conditions. The CS-Base (12 attributes, each with four levels), EQ-5D-5L and the 5D-4L (an ad hoc, multi-attribute preference response-based measure that includes five attributes similar to the EQ-5D-5L, but with four levels) were used as health-outcome measures. We compared the proportions of problems reported on health attributes, statistical robustness and face validity of coefficients, attribute importance, differentiation between health states based on health-state values obtained with these measures, and user experience. All the CS-Base and 5D-4L coefficients had logical orders and significant differences from the reference level (p < 0.001). Substantial differences were observed in the CS-Base and 5D-4L coefficients between all levels on all attributes, while subtle differences were seen in those of the EQ-5D-5L. Attribute importance of usual (daily) activities were lowest or second lowest in all the three health-outcome measures. Attributes with the highest importance in the CS-Base, 5D-4L, and EQ-5D-5L were respectively mobility, anxiety/depression, and pain/discomfort. Four attributes are similar between the CS-Base and EQ-5D-5L, eight are exclusive to CS-Base. Of the eight, vision and hearing had the highest importance. Health-state values showed a smoother distribution with minimal discontinuity in the CS-Base and EQ-5D-5L than in the 5D-4L. In user experience evaluation, both CS-Base and the 5D-4L showed mean scores above 50 (indicating positive evaluation) in terms of the description of health and ease of understanding. This study demonstrated that CS-Base and 5D-4L, which are grounded in the multi-attribute preference response framework, produced statistically robust coefficients, with better face validity than those for the EQ-5D-5L. CS-Base and the EQ-5D-5L outperformed the 5D-4L in differentiating between health states. Notwithstanding differences in content, measurement frameworks, and estimated coefficients, the computed health-state values were similar between CS-Base and EQ-5D-5L.

Uji UI UX Pada Aplikasi Peduli Lindungi Menggunakan User Experience Questionare (UEQ) di Gedung Perkantoran Gading Serpong

The application called Peduli Protect is a form of government policy to control and overcome various problems that arise due to the Covid-19 pandemic. The Peduli Protect application aims at three main priorities, namely 1) protecting the public in accessing public facilities, 2) tracing people who are indicated to be exposed to Covid-19, and 3) information on mapping the zoning of exposure to Covid-19. One of the testing tools for the Cares Protect Application is the User Experience Questionnaire (UEQ), where the User Experience Questionnaire (UEQ) is used to describe the experience gained by the user or UX for satisfaction and usability in the visual appearance of the application, both text boxes, drop-down lists, and other components or commonly called UI when using App Care Protect device. In this study, the method used is combined, namely qualitative quantitative (where technical data collection is done by distributing questionnaires, where each response to each statement item in the questionnaire has a different assessment area and respondents are also required to fill in their demographic data). The total population in this study is 100 Respondents, and the samples taken of all the total population are 100 respondents too. The formulations in this study are 1) How to evaluate the user experience/UX in using the Peduli Protect Application with User Experience Questionnaire (UEQ)? While the objectives of this study are 1) to determine the results of the evaluation of user experience/UX in using the Cares Protect Application using the User Experience Questionnaire (UEQ). The results of the evaluation of user experience / user experience / UX using User Experience Questionnaire (UEQ) in 6 aspects are attractiveness 0,06; clarity 0,53; efficiency 0,36; accuracy 0,17; stimulation 0,09; and novelty 0,01. This shows that all aspects of the user experience get a negative impression. The results of this study can be used as recommendations for designing the new Peduli Protect application user experience by innovating in various aspects.

EEG-Based Machine Learning Models to Evaluate Haptic Delay: Should We Label Data Based on Self-Reporting or Physical Stimulation?

Reliable haptic interfaces augment human-computer interaction via simulated tactile and kinesthetic feedback. As haptic technologies advance, user experience evaluation becomes more crucial. Conventionally, self-reporting is used to evaluate haptic experiences; however, it could be inconsistent or imprecise due to human error. A promising alternative is using neurocognitive methods with machine or deep learning models to evaluate the human haptic experience. Machine and deep learning models can be trained on Electroencephalography (EEG) data labeled based on self-report or actual physical stimulation. As the literature lacks a systematic study on which approach is more robust, we develop a visuo-haptic task to answer this question by examining an important haptic experience, namely, haptic delay. EEG is recorded during the experiment, and participants report whether they detected a delay in the haptic modality through self-report. Four machine/deep learning models were trained twice on the EEG data using the two labeling methods. Models trained with labels from the physical stimuli significantly outperformed those trained with self-reporting labels. Although this finding holds true for one particular haptic experience (haptic delay), it cannot be extrapolated to others; rather, it suggests that EEG data labeling plays a prominent role in evaluating the haptic experience through neurocognitive methods.

The effect of digital literacy on depressive symptoms among older Korean women: a mediation analysis focusing on the role of social support.

The purpose of this study was to investigate the relationship between digital literacy and depressive symptoms, as well as the mediating role of social support in this relationship, among older women (60 years and older) in Korea. This study analyzed data from the User Experience Evaluation Survey, which was conducted by the Ewha Institute for Age Integration Research to improve the accessibility of digital information for older adults research from May to September 2020. Survey data on depressive symptoms, digital literacy, and social support were analyzed using descriptive statistics, Pearson correlation coefficients, and multiple regression. The factors influencing depressive symptoms among older women included work status (B=-.19, p=.01), social support (B=-.17, p<.001), self-rated health (B=-.13, p=.003), and digital literacy (B=-.10, p=.005), which had an explanatory power of 33%. In addition, social support played a mediating role in the relationship between digital literacy and depressive symptoms (B= -.05, SE=.02; 95% CI, -.09 to -.02). The findings of this study support the need to develop and apply interventions that promote digital literacy among older women to mitigate depressive symptoms by increasing social support.

Evaluasi Pengalaman Pengguna Aplikasi Hiip Indonesia Menggunakan Metode USE Questionnaire dan Usability Testing

With the rapid development of mobile applications, user experience has become crucial in ensuring success and user satisfaction. This research paper presents an evaluation of the user experience of the Hiip Indonesia application, with a focus on usability assessment and user satisfaction. The research methodology employs two main methods: the USE Questionnaire and Usability Testing. The USE Questionnaire is a validated and widely used tool for assessing user satisfaction, while Usability Testing involves observing user interactions with the application and collecting qualitative and quantitative data. The research findings indicate that the usability level of the Hiip Indonesia application falls into the "acceptable" category, with a total feasibility percentage of 73.91%. The hypothesis testing shows a significant influence on satisfaction between the variables of usefulness, ease of use, and ease of learning. However, on a partial level, only the variables of usefulness and ease of use significantly influence satisfaction. In contrast, the ease of learning variable does not have a considerable impact. Furthermore, the user experience evaluation data through task scenario testing indicates that the Hiip Indonesia application is highly effective to use, with a task completion success rate of 100% and an average task completion time of approximately 46.77 seconds. After reviewing the identified issues, recommendations for improvements to the Hiip Indonesia application have been formulated. Some of these recommendations include adding features to the "campaign" menu, adding a menu to the home screen, adding features to the "social media" menu, and adding features for chatting with administrators.&#x0D; &#x0D; Keywords: User experience, UX evaluation, USE Questionnaire, usability testing, mobile application, PT. Hiip Inovasi Indonesia.

Development and Validation of Four Social Scales for the UX Evaluation of Interactive Products

The social dimension of interactive products covers all aspects of our relationships with others that are impacted by owning and using such products. Although social features are making their way into a growing number of interactive products, there is a lack of an evaluation tool to capture the social dimension of the user experience (UX). This study addressed this shortcoming by developing and validating new social scales based on the UEQ + framework. We developed four social scales to encompass various aspects within the social dimension. For scale development, 229 participants rated their UX with products having social aspects. Exploratory factor analysis allowed us to identify four sub-dimensions (Identification, Social interaction, Social stimulation, and Social acceptance), each evaluated with four items. For scale validation, 450 participants evaluated the UX of three product categories, using the new social scales, AttrakDiff, and the six UX dimensions of UEQ+. Results of MANOVA showed that the social scales discriminated the three categories (F (8, 560) = 20.68, p < 0.001, Pillai’s trace = 0.456). The four social scales developed in this study can be combined with other UX dimensions of the UEQ + modular framework to provide a comprehensive overview of user interaction with products.

DrivingVibe: Enhancing VR Driving Experience using Inertia-based Vibrotactile Feedback around the Head

We present DrivingVibe, which explores vibrotactile feedback designs around the head to enhance VR driving motion experiences. We propose two approaches that use a 360-degree vibrotactile headband: 1) mirroring and 2) 3D inertia-based. The mirroring approach extends the vibrotactile patterns of handheld controllers to actuate the entire headband uniformly. The 3D inertia-based approach uses the acceleration telemetry data that driving games/simulators export to motion platforms to generate directional vibration patterns, including: i) centrifugal forces, ii) horizontal acceleration/deceleration, and iii) vertical motion due to rough terrain. The two approaches are complementary as the mirroring approach supports all driving games because it does not require telemetry data, while the 3D inertia-based approach provides higher feedback fidelity for games that provide such data. We conducted a 24-person user experience evaluation in both passive passenger mode and active driving mode. Study results showed that both DrivingVibe designs significantly improved realism, immersion, and enjoyment (p&lt;.01) with large effect sizes for the VR driving experiences. For overall preference, 88% (21/24) of participants preferred DrivingVibe, with a 2:1 preference for 3D inertia-based vs. mirroring designs (14 vs. 7 participants). For immersion and enjoyment, 96% (23/24) of participants preferred DrivingVibe, with nearly a 3:1 preference (17 vs. 6 participants) for the 3D inertia-based design.

SensCon: Embedding Physiological Sensing into Virtual Reality Controllers

Virtual reality experiences increasingly use physiological data for virtual environment adaptations to evaluate user experience and immersion. Previous research required complex medical-grade equipment to collect physiological data, limiting real-world applicability. To overcome this, we present SensCon for skin conductance and heart rate data acquisition. To identify the optimal sensor location in the controller, we conducted a first study investigating users' controller grasp behavior. In a second study, we evaluated the performance of SensCon against medical-grade devices in six scenarios regarding user experience and signal quality. Users subjectively preferred SensCon in terms of usability and user experience. Moreover, the signal quality evaluation showed satisfactory accuracy across static, dynamic, and cognitive scenarios. Therefore, SensCon reduces the complexity of capturing and adapting the environment via real-time physiological data. By open-sourcing SensCon, we enable researchers and practitioners to adapt their virtual reality environment effortlessly. Finally, we discuss possible use cases for virtual reality-embedded physiological sensing.

Analisis Perbandingan User Experience pada Website dan Aplikasi Mobile Shopee Menggunakan UEQ

In the midst of technological developments that are always advancing, the internet is one of the things that makes life easier. The internet itself produces products that are useful for daily activities, for example websites and applications. These two products have many types of usage categories, one of which is e-commerce. E-commerce (electronic commerce) provides a different shopping experience for consumers. One of the e-commerce that is developing in Indonesia is Shopee. Shopee has 2 (two) versions, a mobile application and a website. In this case, of course, the layout of the user interface provided is definitely different. Different layouts certainly provide a different user experience. The purpose of this research is to analyze and evaluate user experience and to find out user perceptions and interaction problems experienced by users when using mobile applications and the Shopee website. This study uses 2 (two) research methods, namely user experience questionnaire and Focus Group Discussion. The results of this analysis show that the mobile application and Shopee website have significant values ​​for each parameter. Both Shopee platforms only have 4 (four) of the 6 (six) parameters that reach 0.8. This shows that the Shopee mobile application and the Shopee website have their own strengths and weaknesses in terms of user experience.