scholarly journals A Longitudinal Study of Pervasive Display Personalisation

2021 ◽  
Vol 28 (1) ◽  
pp. 1-45
Author(s):  
Mateusz Mikusz ◽  
Peter Shaw ◽  
Nigel Davies ◽  
Petteri Nurmi ◽  
Sarah Clinch ◽  
...  
Keyword(s):  
Longitudinal Study ◽  
Mobile Devices ◽  
Potential User ◽  
Mobile Users ◽  
Prior Work ◽  
Physical Spaces

Widespread sensing devices enable a world in which physical spaces become personalised in the presence of mobile users. An important example of such personalisation is the use of pervasive displays to show content that matches the requirements of proximate viewers. Despite prior work on prototype systems that use mobile devices to personalise displays, no significant attempts to trial such systems have been carried out. In this article, we report on our experiences of designing, developing and operating the world’s first comprehensive display personalisation service for mobile users. Through a set of rigorous quantitative measures and 11 potential user/stakeholder interviews, we demonstrate the success of the platform in realising display personalisation, and offer a series of reflections to inform the design of future systems.

Mobile Commerce Use among UK Mobile Users Based on a Proposed Mobile Network Utilization Framework

2012 ◽  
pp. 166-199
Author(s):  
Asem Moqbel ◽  
Mirella Yani-Di-Soriano ◽  
Shumaila Yousafzai
Keyword(s):  
Mobile Devices ◽  
Strong Support ◽  
Mobile Network ◽  
Mobile Commerce ◽  
Mobile Users ◽  
Network Utilization ◽  
Task Technology Fit ◽  
Mobile Task

This paper examines UK mobile users’ perceptions of m-commerce utilization. For this purpose, the study has devised a Mobile Network Utilization Model that was empirically tested in experimental settings. The empirical findings revealed strong support for the capability of the proposed utilization model in measuring the concept of Mobile Task-Technology Fit (MTTF) and explaining the utilization of m-commerce services among UK mobile users. In particular, the research found that MTTF and m-commerce utilization are dependent on the interactions between the key components of a wider mobile network, that is mobile devices, mobile tasks, mobile operators, as well as mobile vendors. Fifteen factors were identified as a result of such interaction and the importance of these factors in explaining MTTF and the actual utilization of m-commerce services was empirically asserted.

Mobile Commerce Use among UK Mobile Users

2012 ◽  
pp. 78-111 ◽  
Author(s):  
Asem Moqbel ◽  
Mirella Yani-De-Soriano ◽  
Shumaila Yousafzai
Keyword(s):  
Mobile Devices ◽  
Strong Support ◽  
Mobile Network ◽  
Mobile Commerce ◽  
Mobile Users ◽  
Network Utilization ◽  
Task Technology Fit ◽  
Mobile Task

In this paper, the authors examine UK mobile users’ perceptions of m-commerce utilization. For this purpose, the authors devise a Mobile Network Utilization Model empirically tested in experimental settings. The empirical findings reveal strong support for the capability of the proposed utilization model in measuring the concept of Mobile Task-Technology Fit (MTTF) and explaining the utilization of m-commerce services among UK mobile users. In particular, their research finds that MTTF and m-commerce utilization are dependent on the interactions between the key components of a wider mobile network, namely mobile users, mobile devices, mobile tasks, mobile operators, as well as mobile vendors. The authors identify 15 factors as a result of such interaction and the importance of these factors in explaining MTTF and the utilization of m-commerce services.

scholarly journals Effect of Parents’ Time With Children on the Relationship Between the Children’s Use of Electronic Devices and Their Sociability

2021 ◽  
Author(s):  
Ching-Fen Lee ◽  
Shain-May Tang
Keyword(s):  
Longitudinal Study ◽  
Child Development ◽  
Mobile Devices ◽  
Electronic Devices ◽  
National Longitudinal Study ◽  
Negative Effect ◽  
The Relationship

Abstract Background: This study explored how parents’ roles of accompanying children influence the relationship between children’s use of electronic devices and their sociability. Methods: This study used data from Kids in Taiwan: National Longitudinal Study of Child Development and Care. Results: The results showed that parents’ time with their children on weekdays moderated the relationship between children using stationary devices and their sociability. However, time with children on weekends and holidays mediated the negative effect of children using mobile devices on their sociability. Conclusion: These findings have implications for future planners of childcare policies and educators regarding how to encourage parents to spend more time with their children and help them acquire sociability.

scholarly journals The Relationship between Self-Esteem and Depression when Controlling for Neuroticism

2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Wenting Mu ◽  
Jing Luo ◽  
Sven Rieger ◽  
Ulrich Trautwein ◽  
Brent W. Roberts
Keyword(s):  
Longitudinal Study ◽  
Growth Models ◽  
Self Esteem ◽  
Prior Work ◽  
Confounding Variable ◽  
Latent Growth ◽  
Latent Growth Models ◽  
Vulnerability Model ◽  
The Relationship ◽  
Over Time

Much research has examined the interplay of depression and self-esteem in an effort to determine whether depression causes self-esteem (scar model), or vice versa (vulnerability model). In the current longitudinal study (N = 2,318), we tested whether neuroticism served as a confounding variable that accounted for the association of depression and self-esteem, using both cross-lag models and latent growth models. We found neuroticism accounted for the majority of covariance between depression and self-esteem, to the degree that the scar and vulnerability models appear to be inadequate explanations for the relation between depression and self-esteem. Alternatively, neuroticism appears to be a viable cause of both depression and self-esteem and could explain prior work linking the two constructs over time.

Lessons Learned from Large-Scale User Studies

2012 ◽  
Vol 4 (3) ◽  
pp. 28-43 ◽  
Author(s):  
Denzil Ferreira ◽  
Vassilis Kostakos ◽  
Anind K. Dey
Keyword(s):  
Side Effects ◽  
Mobile Phone ◽  
Mobile Devices ◽  
Large Scale ◽  
Lessons Learned ◽  
User Studies ◽  
Prior Work ◽  
Android Market

User studies with mobile devices have typically been cumbersome, since researchers have had to recruit participants, hand out or configure devices, and offer incentives and rewards. The increasing popularity of application stores has allowed researchers to use such mechanisms to recruit participants and conduct large-scale studies in authentic settings with relatively little effort. Most researchers who use application stores do not consider the side-effects or biases that such an approach may introduce. The authors summarize prior work that has reported experiences from using application stores as a recruiting, distribution and study mechanism, and also present a case study of a 4-week long study using the Android Market to deploy an application to over 4000 users that collected data on their mobile phone charging habits. The authors synthesize their own experiences with prior reported findings to discuss the challenges, advantages, limitations and considerations of using application stores as a recruitment and distribution approach for conducting large-scale studies.

Mobile Commerce Use among UK Mobile Users

2010 ◽  
Vol 1 (2) ◽  
pp. 1-35 ◽  
Author(s):  
Asem Moqbel ◽  
Mirella Yani-De-Soriano ◽  
Shumaila Yousafzai
Keyword(s):  
Mobile Devices ◽  
Strong Support ◽  
Mobile Network ◽  
Mobile Commerce ◽  
Mobile Users ◽  
Network Utilization ◽  
Task Technology Fit ◽  
Mobile Task

In this paper, the authors examine UK mobile users’ perceptions of m-commerce utilization. For this purpose, the authors devise a Mobile Network Utilization Model empirically tested in experimental settings. The empirical findings reveal strong support for the capability of the proposed utilization model in measuring the concept of Mobile Task-Technology Fit (MTTF) and explaining the utilization of m-commerce services among UK mobile users. In particular, their research finds that MTTF and m-commerce utilization are dependent on the interactions between the key components of a wider mobile network, namely mobile users, mobile devices, mobile tasks, mobile operators, as well as mobile vendors. The authors identify 15 factors as a result of such interaction and the importance of these factors in explaining MTTF and the utilization of m-commerce services.

Contemporary Issues in Handheld Computing Research

2012 ◽  
pp. 1-22
Author(s):  
Wen-Chen Hu ◽  
Yanjun Zuo ◽  
Lei Chen ◽  
Hung-Jen Yang
Keyword(s):  
Mobile Computing ◽  
Mobile Devices ◽  
Mobile Phones ◽  
Mobile Internet ◽  
Handheld Devices ◽  
Mobile Users ◽  
Research Information ◽  
Design And Development ◽  
Handheld Computing

Mobile phones have become ubiquitous in today’s society. However, mobile users are no longer satisfied with simple phones but instead expect ever more powerful functions to be available from their mobile devices. Advanced phones known as smartphones allow mobile users to perform a wide variety of advanced handheld functions such as browsing the mobile Internet or finding a nearby theater showing a specific movie. The design and development of these new, improved handheld functions require the help of handheld computing research. This article introduces handheld computing research using three themes: (i) mobile handheld devices, (ii) mobile computing, and (iii) current issues in handheld computing research. Information about other handheld topics of interest to researchers is given in the last section.

scholarly journals How Dangerous Are Your Smartphones? App Usage Recommendation with Privacy Preserving

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Konglin Zhu ◽  
Xiaoman He ◽  
Bin Xiang ◽  
Lin Zhang ◽  
Achille Pattavina
Keyword(s):  
Mobile Devices ◽  
Mobile Apps ◽  
Critical Issue ◽  
Mobile App ◽  
User Preference ◽  
Mobile Users ◽  
User Privacy ◽  
The Past ◽  
Privacy Leakage ◽  
Privacy Violation

With the rapid proliferation of mobile devices, explosive mobile applications (apps) are developed in the past few years. However, the functions of mobile apps are varied and the designs of them are not well understood by end users, especially the activities and functions related to user privacy. Therefore, understanding how much danger of mobile apps with respect to privacy violation to mobile users is becomes a critical issue when people use mobile devices. In this paper, we evaluate the mobile app privacy violation of mobile users by computing the danger coefficient. In order to help people reduce the privacy leakage, we combine both the user preference to mobile apps and the privacy risk of apps and propose a mobile app usage recommendation method named AppURank to recommend the secure apps with the same function as the “dangerous” one for people use. The evaluation results show that our recommendation can reduce the privacy leakage by 50%.

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