Online User Experience Research Articles

Transform, Warp, and Dress: A New Transformation-guided Model for Virtual Try-on

Virtual try-on has recently emerged in computer vision and multimedia communities with the development of architectures that can generate realistic images of a target person wearing a custom garment. This research interest is motivated by the large role played by e-commerce and online shopping in our society. Indeed, the virtual try-on task can offer many opportunities to improve the efficiency of preparing fashion catalogs and to enhance the online user experience. The problem is far to be solved: current architectures do not reach sufficient accuracy with respect to manually generated images and can only be trained on image pairs with a limited variety. Existing virtual try-on datasets have two main limits: they contain only female models, and all the images are available only in low resolution. This not only affects the generalization capabilities of the trained architectures but makes the deployment to real applications impractical. To overcome these issues, we present Dress Code , a new dataset for virtual try-on that contains high-resolution images of a large variety of upper-body clothes and both male and female models. Leveraging this enriched dataset, we propose a new model for virtual try-on capable of generating high-quality and photo-realistic images using a three-stage pipeline. The first two stages perform two different geometric transformations to warp the desired garment and make it fit into the target person’s body pose and shape. Then, we generate the new image of that same person wearing the try-on garment using a generative network. We test the proposed solution on the most widely used dataset for this task as well as on our newly collected dataset and demonstrate its effectiveness when compared to current state-of-the-art methods. Through extensive analyses on our Dress Code dataset, we show the adaptability of our model, which can generate try-on images even with a higher resolution.

Emotion detection on webpages using biosensors integrated to a window-based dynamic control system

PurposeDetecting emotion on user experience of web applications and browsing is important in many ways. Web designers and developers find such approach quite useful in enhancing navigational features of webpages, and biomedical personnel regularly use computer simulations to monitor and control the behaviour of patients. On the other hand, law enforcement agents rely on human physiological functions to determine the likelihood of falsehood in interrogations. Quite often, online user experience is studied via tangible measures such as task completion time, surveys and comprehensive tests from which data attributes are generated. Prediction of users' emotion and behaviour in some of these cases depends mostly on task completion time and number of clicks per given time interval. However, such approaches are generally subjective and rely heavily on distributional assumptions making the results prone to recording errors.Design/methodology/approachThe authors propose a novel method-a window dynamic control system that addresses the foregoing issues. Primary data were obtained from laboratory experiments during which forty-four volunteers had their synchronised physiological readings, skin conductance response (SCR), skin temperature (ST), eye movement behaviour and users’ activity attributes taken using biosensors. The window-based dynamic control system (PHYCOB I) is integrated to the biosensor which collects secondary data attributes from these synchronised physiological readings and uses them for two purposes. For both detection of optimal emotional responses and users' stress levels. The method's novelty derives from its ability to integrate physiological readings and eye movement records to identify hidden correlates on a webpage.FindingsResults show that the control system detects basic emotions and outperforms other conventional models in terms of both accuracy and reliability, when subjected to model comparison that is, the average recoverable natural structures for the three models with respect to accuracy and reliability are more consistent within the window-based control system environment than with the conventional methods.Research limitations/implicationsThe paper is limited to using a window control system to detect emotions on webpages, while integrated to biosensors and eye-tracker.Originality/valueThe originality of the proposed model is its resistance to overfitting and its ability to automatically assess human emotion (stress levels) while dealing with specific web contents. The latter is particularly important in that it can be used to predict which contents of webpages cause stress-induced emotions to users when involved in online activities.

Integration of biosensor to a window-based control system for user emotion detection to static and dynamic visual contents of webpages

Purpose Basic capturing of emotion on user experience of web applications and browsing is important in many ways. Quite often, online user experience is studied via tangible measures such as task completion time, surveys and comprehensive tests from which data attributes are generated. Prediction of users’ emotion and behaviour in some of these cases depends mostly on task completion time and number of clicks per given time interval. However, such approaches are generally subjective and rely heavily on distributional assumptions making the results prone to recording errors. This paper aims to propose a novel method – a window dynamic control system – that addresses the foregoing issues. Design/methodology/approach Primary data were obtained from laboratory experiments during which 44 volunteers had their synchronized physiological readings – skin conductance response, skin temperature, eye movement behaviour and users activity attributes taken by biosensors. The window-based dynamic control system (PHYCOB I) is integrated to the biosensor which collects secondary data attributes from these synchronized physiological readings and uses them for two purposes: for detection of both optimal emotional responses and users’ stress levels. The method’s novelty derives from its ability to integrate physiological readings and eye movement records to identify hidden correlates on a webpage. Findings The results from the analyses show that the control system detects basic emotions and outperforms other conventional models in terms of both accuracy and reliability, when subjected to model comparison – that is, the average recoverable natural structures for the three models with respect to accuracy and reliability are more consistent within the window-based control system environment than with the conventional methods. Research limitations/implications Graphical simulation and an example scenario are only provided for the control’s system design. Originality/value The novelty of the proposed model is its strained resistance to overfitting and its ability to automatically assess user emotion while dealing with specific web contents. The procedure can be used to predict which contents of webpages cause stress-induced emotions to users.

P300 Brain-Computer Interface-Based Drone Control in Virtual and Augmented Reality.

Since the emergence of head-mounted displays (HMDs), researchers have attempted to introduce virtual and augmented reality (VR, AR) in brain–computer interface (BCI) studies. However, there is a lack of studies that incorporate both AR and VR to compare the performance in the two environments. Therefore, it is necessary to develop a BCI application that can be used in both VR and AR to allow BCI performance to be compared in the two environments. In this study, we developed an opensource-based drone control application using P300-based BCI, which can be used in both VR and AR. Twenty healthy subjects participated in the experiment with this application. They were asked to control the drone in two environments and filled out questionnaires before and after the experiment. We found no significant (p > 0.05) difference in online performance (classification accuracy and amplitude/latency of P300 component) and user experience (satisfaction about time length, program, environment, interest, difficulty, immersion, and feeling of self-control) between VR and AR. This indicates that the P300 BCI paradigm is relatively reliable and may work well in various situations.

Exploring the Benefits of Proactive Participation among Adults and Older People by Writing Blogs

ABSTRACT The use of Information and Communication Technologies (ICTs) for information-seeking, social contact and leisure activities is increasing in adults and older people. However, little is known about adults and older people who are already actively using ICTs to write a blog. The aim of this paper is to describe the benefits adults and older people gain from having a blog. Twenty-three older adult bloggers (aged 60–83 years; most of them with college degrees and retired) from Spain who, at the time of the study had an active blog were interviewed. A thematic analysis identified four different benefits related to blogging: (1) a general sense of satisfaction from producing the blog; (2) relational benefits; (3) cognitive benefits; and (4) identity benefits. Results showed that adults and older people experienced a variety of benefits that broadens the distinction between personal and social benefits found in previous research. Blogging in later life challenges the traditional passive/consumer and online user experience view of adults and older people and seems to be a good example of proactive participation through websites.

비대면 환경에서의 사용자경험디자인 교육 사례 연구

2020년 초 발생한 코로나 19 바이러스의 전국적 확산으로 국내 대학들이 온라인 강의를 전면적으로 시행하게 되었다. 사회가 비대면 패러다임으로 전환됨에 따라 교육부에서는 향후 코로나 19의 종식과 관계없이 대학들이 원격 수업을 교육 혁신 방안으로 계속 유지해나갈 수 있도록 미래 교육의 방향성으로 원격수업을 장려하겠다고 하였다. 이러한 배경에 따라 비대면 환경에서의 교육 경험 향상이 매우 중요한 과제로 부각되고 있으며 이에 따라 다양한 온라인 강의 사례 발굴을 통한 강의 모델 제시가 필요한 실정이다. 현재까지 실질적인 비대면 강의 사례 및 구체화된 강의 모델 개발에 대한 연구는 활발하게 이루어지지 않았으며 특히 디자인 분야, 좀 더 구체적으로 UX디자인 분야에 대한 비대면 교육 사례 연구는 많지 않다. 이에 따라 본 연구는 비대면 교육 환경에서의 수업의 질과 학생들의 교육 경험을 향상시키기 위한 첫 단계로서 연구자의 비대면 UX디자인 교육 사례를 공유함으로써 향후 보다 효과적인 비대면 디자인 교육 전략을 발전시키고 강의 모델을 제시하기 위한 기초를 마련하는 것을 목적으로 한다. 연구 방법으로 티칭 포트폴리오의 구성항목을 크게 교육 내용과 교육 운영의 두 영역으로 나누어 연구를 진행하였으며, 학생들의 강의평가 결과를 통해 본 교육사례의 효과를 평가하였다. 본 연구를 통해 다음과 같은 통찰 및 제안을 기술하였다. 첫째, 효과적인 비대면 UX디자인 교육을 위해 실시간/비실시간 디지털 매체들의 장단점을 고려하여 수업의 용도에 따라 적절히 혼합하여 활용할 것을 제안한다. 둘째, 비대면 UX디자인의 교육적 효과를 위한 다양한 교수법들 중에서도 디지털 테크놀로지의 의존도가 높은 비대면 환경에서 프로젝트 기반 학습과 플립드 러닝이 적절히 결합되었을 때 강력한 교육 효과를 발휘할 수 있음을 발견하였다. 셋째, 비대면 수업에서 강의의 흐름을 방해하지 않으면서도 교수-학생 간의 즉각적이고 원활한 소통을 지원해주는 세부적인 기능들이 비대면 수업 테크놀로지 플랫폼에 보완될 필요가 있다.

Exploring Interactive Survivorship Care Plans to Support Breast Cancer Survivors: Protocol for a Randomized Controlled Trial.

BackgroundBreast cancer is the most common form of cancer among American women, accounting for 23% of all cancer survivors nationally. Yet, the availability of adequate resources and tools for supporting breast cancer survivors has not kept up with the rapid advancement in treatment options, resulting in unmet supportive care needs, particularly among low-income and minority populations. This study explores an alternative means of delivering breast cancer survivorship care plans (SCPs), with the aim of improving survivor morbidity, patient knowledge, and self-management of treatment-related symptoms, as well as addressing inconsistencies in follow-up care visits.ObjectiveThe overall goal of this study is to improve the uptake of SCP recommendations via an educational intervention for breast cancer survivors, to improve treatment-related morbidity, patient knowledge, self-management, and adherence to follow-up visits. The specific aims of the study are to (1) evaluate the feasibility of the online SCP, and (2) assess the impact of the online SCP on survivorship outcomes.MethodsWe will enroll 50 breast cancer survivors who have completed initial breast cancer treatment into a 2-armed, randomized, waitlist-controlled pilot trial, and collect data at baseline and 6 months. For the first aim, we will use mixed methods, including surveys and personal interviews among the intervention group, to determine the feasibility of providing an online, interactive SCP (called ACESO) based on the survivors’ online user experience and their short-term adoption. For the secondary aim, we will compare the 2 groups to assess the primary outcomes of survivor knowledge, self-efficacy for self-management, perceived peer support, and adherence to SCP-recommended posttreatment follow-up visits to oncology and primary care; and the secondary outcomes of treatment-related morbidity (body weight, fatigue, depression, anxiety, sexual function, distress, and sleep quality). We assess these outcomes by using measurements from validated instruments with robust psychometric properties.ResultsWe have developed and refined the online breast cancer survivorship plan, ACESO, with consultation from breast cancer oncologists, nurses, and survivors. Approval for the study protocol has been obtained from the Institutional Review Board. An advisory board has also been established to provide oversight and recommendations on the conduct of the study. The study will be completed over a period of 2 years.ConclusionsThe results of this pilot study will inform the feasibility and design of a larger-scale pragmatic trial to evaluate the impact of an online breast cancer SCP on treatment-related morbidity and self-efficacy for self-management.International Registered Report Identifier (IRRID)PRR1-10.2196/23414

Novel feature selection approaches for improving the performance of sentiment classification

Text based social media has become one of important communication tools between customers and enterprises. In social media, users can easily express their opinions and evaluation regarding products or services. These online user experiences, especially negative evaluations indeed affect other consumers’ behaviors. Consequently, to effectively identify customers’ sentiments and avoid these negative comments to bring a great damage to enterprisers has become one of critical issues. In recent years, machine learning algorithms were viewed as one of effective solutions for sentiment classification. But, when the amount of the online reviews arises, the dimensionality of text data rises remarkably. The performances of machine learning methods have been degraded due to the dimensionality problem. But, conventional feature selection methods tend to select attributes from the majority sentiments, which usually cannot improve classification performance. Therefore, this study attempt to present two feature selection methods called modified categorical proportional difference (MCPD) approach that improves conventional CPD method, and balance category feature (BCF) strategy that equally selects attributes from both positive and negative examples, to improve sentiment classification performances. Finally, several real sentiment cases of text reviews will be provided to demonstrate the effectiveness of our proposed methods. Results showed that the combination of proposed BCF strategy and MCPD method can not only remarkably reduce feature space, but also improve the sentiment classification performance.

Online Customer Experience in E-Commerce Industry

In recent years, the dynamics of e-commerce has been changing. More and more consumers are using the Internet to make purchases during the purchase process (for example, before, during, and after online purchases). Advances in mobile technology and their adoption by many consumers makes it important for companies to redesign interaction and service delivery capabilities to achieve the best online user experience. Surviving in today's competitive e-commerce environment, problems can be resolved at the touch of a button, which means that companies must find ways to provide customers with a unique experience, not just low prices. As customers begin to use Internet-enabled multi-devices, changes in online shopping behavior have greatly increased and shifted. Today, companies are forced to compete in an environment that handles multiple online channel formats including e-commerce, mobile commerce, and social media sites. For example, consumers view a company's Facebook profile, use a smartphone to access the company's website, and use a computer to access e-commerce sites at different times. Therefore, the customer's online experience includes every point of contact (social media, website, application) that the customer chooses to interact with the company. Contemporary social networks or social online networks provide companies with the opportunity to understand the perspectives and ideas of various customers to promote the company's innovation. Interactions between customers and companies across multiple online channels are critical to creating an overall online shopping experience.

Analisis Aplikasi Mobile Transportasi Online Menggunakan User Experience Questionnaire pada Era Milenial dan Z

Online transportation becomes so popular in the ride-sharing industry. Young millennial and z generation users utilize their smartphone not only for communications but also for ordering online transportation services like Gojek. This study examines the experience of millennial and z generation students in using the well-known Gojek online transportation mobile service. A number of 154 millennial computer science students as respondents are involved in this study. Their experience in using online mobile transportation services via smartphone was collected through an online questionnaire made using google forms and distributed via Facebook. The tool used in this study is Online User Experience Questionnaire (UEQ). The results showed that all UEQ categories scored in positive areas. The highest score is in the "Perspicuity" category, while the lowest score is in the "Novelty" category. The benchmark value of the Gojek application indicates that the Gojek application has a rating scale that is on the scale of "above average" and "good". Suggestions that can be taken from the results of research that the Gojek application in general has been very good in providing experience for its users, things that need to be improved is in terms of the renewal of the application.

Should I Stay or Should I Go?

Abstract. This study explores how motivational activation influences real-time selection behavior during picture viewing on a computer. We measured the trait level motivational reactivity (ASA and DSA) of 40 participants, who then viewed a series of pictures. Each participant was given the opportunity to select a new picture of either similar or different valence as the picture currently viewed. We recorded indicators of participants’ selection behavior: their propensity to change picture valence, ratio of pleasant to unpleasant pictures selected, and decision time (how long it took them to decide on the valence of the next picture). Results showed that motivational activation predicts each of these behavioral indicators, leading to some preliminary implications for online user experience as well as the suggestion that media outlets might consider variance in motivational activation when selecting online content.

Library Services Navigation: Improving the Online User Experience

While the discoverability of traditional information resources is often the focus of library website design, there is also a need to help users find other services such as equipment, study rooms, and programs. A recent assessment of the Brigham Young University Library website identified nearly two hundred services. Many of these service descriptions were buried deep in the site, making them difficult to locate. This article will describe a web application that was developed to improve service discovery and to help ensure the accuracy and maintainability of service information on an academic library website.

Understanding Social Roles in an Online Community of Volatile Practice

Community of practice (CoP) is a primary framework in social computing research that addresses learning and organizing specific practices in online communities. However, the classic CoP theory does not provide a detailed account for how practices change or evolve. Against the backdrop of a rapidly changing occupational landscape, it is crucial to understand how people participate in online communities focused on practices that have a volatile nature, as well as how social computing tools can best support them. In this article, we examine user experience (UX) design as a volatile practice that has no coherent body of knowledge and lacks a concrete path for newcomers to become a UX professional. Our study site is the “/r/userexperience” subreddit, an online UX community where practitioners socialize and learn. Using a mixed-methods approach, we identified five distinct social roles in relation to knowledge production and dissemination in the online community of volatile practice. We demonstrate that knowledge production is highly distributed, involving the participation and sensemaking of community members of varied levels of experience. We discuss how online platforms support online community of volatile practice and how our findings contribute to the CoP literature.

A descriptive profile of state Child Care and Development Fund policies in states with high populations of low-income Hispanic children

The Child Care and Development Fund (CCDF) serves dual goals of promoting low-income parents' employment, education, and training, and supporting parents’ use of high quality child care and education. While changes in CCDF policies have aimed to improve the accessibility and functionality of CCDF subsidies for all eligible low-income families, utilization among Hispanic families, who represent the highest growing proportion of income poor families, remains low. Our study explores the ways in which the state-level child care policy context may differentially affect utilization among Hispanic families and contribute to racial/ethnic disparities in program utilization. We use the child care accommodation model and administrative exclusion to offer an expanded conceptual framework. We consider how policies and administrative practices may interact with demographic and community characteristics common among low-income Hispanic families and impose differential learning, psychological, and compliance costs for accessing government assistance programs such as CCDF. Our analysis of the 13 states in which over 80% of the low-income Hispanic child population resides, identifies policies around eligibility, documentation requirements, receipt prioritization, and the online user experience that vary across states and may serve to either facilitate or constrain access to a child care subsidy. Implications for the design of child care policies to equitably support economic and child well-being for all eligible families are discussed.

Demographic variables and Online Customer Experience of Educational Websites users

This research study the the influence of gender and family income on online educational experience dimensions in the Indian context.. The instrument used consisted of twenty items and demographics variables. Changes in demographic variable affect the online education experience of the user’s dimension. Based on results the significant changes are identified and interpreted. Changes concerning demographic variables were observed in the factors of online user experience. The changes were most significant for the dimension: pragmatic-pleasurable experience and hedonic & exhaustive experience.

Interacting with Recommenders—Overview and Research Directions

Automated recommendations have become a ubiquitous part of today’s online user experience. These systems point us to additional items to purchase in online shops, they make suggestions to us on movies to watch, or recommend us people to connect with on social websites. In many of today’s applications, however, the only way for users to interact with the system is to inspect the recommended items. Often, no mechanisms are implemented for users to give the system feedback on the recommendations or to explicitly specify preferences, which can limit the potential overall value of the system for its users. Academic research in recommender systems is largely focused on algorithmic approaches for item selection and ranking. Nonetheless, over the years a variety of proposals were made on how to design more interactive recommenders. This work provides a comprehensive overview on the existing literature on user interaction aspects in recommender systems. We cover existing approaches for preference elicitation and result presentation, as well as proposals that consider recommendation as an interactive process. Throughout the work, we furthermore discuss examples of real-world systems and outline possible directions for future works.

Beyond Reviewing

Existing research on tourism social media users rarely extends beyond their role as appraisers of tourism and hospitality products. Such research fails to identify the different modes of experience and behavior that these users assume in their cyberspace interactions. This article demonstrates that user interactions entail much more than evaluating products. Using data from TripAdvisor, it identifies five additional user roles that define their experience and comportment online: troll, activist, social critic, information seeker, and socialite. Adopting a netnographic approach, these categories are interrogated to provide a more nuanced understanding of the online user experience in tourism social media space. Further, for each role, we glean the implicit uses and gratifications users seek from using the media. It is argued that the combined enactment of these roles creates a rich repository of experiential narratives that tourism businesses and destination managers can tap into for insights into the modern tourism consumer.

CookieConsumer: Tracking online behavioural advertising in Australia

Online behavioural advertising (OBA) comes to consumers at a price. Often unknowingly, people deliver up commercially-valuable personal information as a condition of online user experience, functionality and access. Websites are increasingly tracking user behaviours for commercial purposes and social media derives its income largely from data collection and advertising targeted to the personal disclosures and behavioural attributes which are its data-production mainstay. In this context, consumers face a plethora of information collection practices, all designed to generate data analytics including inferential and predictive profiling to create a ‘digital identity’ for OBA purposes. In this subterranean exchange, consumers are economically redefined as data subjects and advertising targets; a reframing which is perhaps why the OBA industry faces a crisis in consumer concern, both as to privacy and trust.This paper proposes that the regulatory control of OBA in Australia is in disarray. Consumer ignorance of online privacy management and OBA practices is demonstrable. Industry transparency, disclosure, consent processes and compliance practices are questionable. Regulator interest is minimal, industry self-regulation is weak and consumer technical ability and personal responsibility is a last fragile line of defence. Data breaches are ubiquitous in a crowded and poorly-audited supply chain, and entail significant adverse consumer consequences. Yet despite these serious concerns, Australian regulators are failing to respond to OBA issues, either through mandating greater industry disclosure or through regulatory action. The author seeks to expose these weaknesses in calling for consumer and privacy regulators to take more meaningful action to better protect consumers' interests online.

The use of embedded metadata in heritage image workflows

With increasing scrutiny of museum and gallery public access and dissemination policies, heritage organisations are investing heavily in the online user experience. This includes allowing users to browse and search for images and other media of objects and artefacts held by the organisation. While public interface websites are attracting a lot of attention, their creators often forget that the media on them — generally images at present — can be viewed and used in environments other than the originating website. Heritage organisations encourage the public to download images and use them for private non-commercial purposes. This is where the use of embedded data becomes important. This paper details some of the ways embedded data may be used in practice, both in internal workflows and for images on publicly accessible websites.

MyCity: Glasgow – how can a mobile app based game increase physical activity in the context of a mass spectator sporting event?

Event Abstract Back to Event MyCity: Glasgow – how can a mobile app based game increase physical activity in the context of a mass spectator sporting event? Cindy Gray1*, Matthew Higgs2, Andrew Ramsay2 and Marilyn Lennon3 1 University of Glasgow, Institute of Health and Wellbeing, United Kingdom 2 University of Glasgow, School of Computing Science, United Kingdom 3 University of Strathclyde, Computer and Information Sciences, United Kingdom Background: There are many mobile applications being developed to promote healthy lifestyles. Some use gamification as well as psychological behaviour change techniques (BCTs) to increase engagement and potential impact on health behaviours. Despite growing research in this area, there is little evidence of game-based apps being rigorously evaluated ‘in the wild’ to explore the mechanisms through which they can achieve widespread user-engagement and health behaviour change. MyCity: Glasgow is a mobile app-based game that aims to use BCTs (self-monitoring of physical activity with daily goal setting and feedback), gamification principles (self-expression, achievement (e.g., quizzes), status and competition) and GPS-based features (e.g., challenge trails to encourage users to physically visit locations around Glasgow) to increase physical activity (PA) and engagement with Glasgow during the period of the 2014 Commonwealth Games. Aim: To use an ‘in the wild’ evaluation to explore the potential and mechanisms of action of a mobile app-based game to increase users’ PA and engagement with their local area. Methods: MyCity: Glasgow was released on Google Play and Apple App Stores in early summer 2014, and real-time usage data logged for 3 months. A mixed-methods approach used quantitative android phone-logged data, an online user experience survey (N=56) and qualitative user interviews (n=11) to investigate uptake, use of behaviour change and gamification features, and impact on physical activity. Results: The app was downloaded 1096 times (android N=673; iOS N=423). Most users were aged 12-25 years (43.1%) or 26-40 years (32.6%), with uptake declining with age; over half (51.5%) described themselves as physically inactive at baseline. Almost a quarter (24.3%) of daily activity goals were achieved; 3,907 quiz questions were attempted, over 72% of which were answered correctly. Survey respondents and interview participants endorsed the self-monitoring and daily activity goal features “… it encouraged me to go a walk at lunchtime at work and I was intrigued to find out how many points I had. It was good to meet my daily target.” Engagement with GPS-based features was low: only 11 people attempted at least one MyCity: Glasgow challenge trail. Conclusions: MyCity: Glasgow demonstrates the potential of using real-time ‘in the wild’ data logging and qualitative interviews to understand the mechanisms of engagement and action of mobile game-based apps to promote healthier lifestyles. Keywords: physical activity, Mobile phone app, Behaviour change techniques, Gamification, engagement Conference: 2nd Behaviour Change Conference: Digital Health and Wellbeing, London, United Kingdom, 24 Feb - 25 Feb, 2016. Presentation Type: Oral presentation Topic: Academic Citation: Gray C, Higgs M, Ramsay A and Lennon M (2016). MyCity: Glasgow – how can a mobile app based game increase physical activity in the context of a mass spectator sporting event?. Front. Public Health. Conference Abstract: 2nd Behaviour Change Conference: Digital Health and Wellbeing. doi: 10.3389/conf.FPUBH.2016.01.00118 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 28 Oct 2015; Published Online: 09 Jan 2016. * Correspondence: Dr. Cindy Gray, University of Glasgow, Institute of Health and Wellbeing, Glasgow, G12 8RS, United Kingdom, cindy.gray@gla.ac.uk Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Cindy Gray Matthew Higgs Andrew Ramsay Marilyn Lennon Google Cindy Gray Matthew Higgs Andrew Ramsay Marilyn Lennon Google Scholar Cindy Gray Matthew Higgs Andrew Ramsay Marilyn Lennon PubMed Cindy Gray Matthew Higgs Andrew Ramsay Marilyn Lennon Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.