scholarly journals EXPLORATION AND OPTIMIZATION OF USER EXPERIENCE IN VIEWING VIDEOS ON A MOBILE PHONE

2010 ◽  
Vol 20 (08) ◽  
pp. 1045-1075 ◽  
Author(s):  
WEI SONG ◽  
DIAN TJONDRONEGORO ◽  
MICHAEL DOCHERTY
Keyword(s):  
Mobile Phone ◽  
User Experience ◽  
User Study ◽  
Video Quality ◽  
Mobile Video ◽  
Content Type ◽  
Interview Method ◽  
Acceptable Quality ◽  
Quantitative Results ◽  
Iphone Application

Compared with viewing videos on PCs or TVs, mobile users have different experiences in viewing videos on a mobile phone due to different device features such as screen size and distinct usage contexts. To understand how mobile user's viewing experience is impacted, we conducted a field user study with 42 participants in two typical usage contexts using a custom-designed iPhone application. With user's acceptance of mobile video quality as the index, the study addresses four influence aspects of user experiences, including context, content type, encoding parameters and user profiles. Accompanying the quantitative method (acceptance assessment), we used a qualitative interview method to obtain a deeper understanding of a user's assessment criteria and to support the quantitative results from a user's perspective. Based on the results from data analysis, we advocate two user-driven strategies to adaptively provide an acceptable quality and to predict a good user experience, respectively. There are two main contributions from this paper. Firstly, the field user study allows a consideration of more influencing factors into the research on user experience of mobile video. And these influences are further demonstrated by user's opinions. Secondly, the proposed strategies — user-driven acceptance threshold adaptation and user experience prediction — will be valuable in mobile video delivery for optimizing user experience.

The effect of adaptive mechanism on behavioural biometric based mobile phone authentication

2014 ◽  
Vol 22 (2) ◽  
pp. 155-166 ◽  
Author(s):  
Weizhi Meng ◽  
Duncan S. Wong ◽  
Lam-For Kwok
Keyword(s):  
Mobile Phone ◽  
Mobile Phones ◽  
User Study ◽  
User Authentication ◽  
Adaptive Mechanism ◽  
Software Developers ◽  
Normal Behaviour ◽  
Content Type ◽  
Stable Level ◽  
Practical Implications

Purpose – This paper aims to design a compact scheme of behavioural biometric-based user authentication, develop an adaptive mechanism that selects an appropriate classifier in an adaptive way and conduct a study to explore the effect of this mechanism. Design/methodology/approach – As a study, the proposed adaptive mechanism was implemented using a cost-based metric, which enables mobile phones to adopt a less costly classifier in an adaptive way to build the user normal-behaviour model and detect behavioural anomalies. Findings – The user study with 50 participants indicates that our proposed mechanism can positively affect the authentication performance by maintaining the authentication accuracy at a relatively high and stable level. Research limitations/implications – The authentication accuracy can be further improved by incorporating other appropriate classifiers (e.g. neural networks) and considering other touch-gesture-related features (e.g. the speed of a touch). Practical implications – This work explores the effect of adaptive mechanism on behavioural biometric-based user authentication. The results should be of interest for software developers and security specialists in deciding whether to implement such a mechanism for enhancing authentication performance on mobile phones. Originality/value – The user study with 50 participants indicates that this mechanism can positively affect the authentication performance by maintaining the authentication accuracy at a relatively high and stable level. To the best of our knowledge, our work is an early work discussing the implementation of an adaptive mechanism on a mobile phone.

User-Centered Study on Quality of Mobile Video Services

2013 ◽  
pp. 18-51
Author(s):  
Wei Song ◽  
Dian Tjondronegoro ◽  
Michael Docherty
Keyword(s):  
User Study ◽  
Video Quality ◽  
Research Field ◽  
Future Research ◽  
Mobile Video ◽  
Video Research ◽  
Challenges And Opportunities ◽  
Video Services ◽  
User Centered

Mobile video, as an emerging market and a promising research field, has attracted much attention from both industry and researchers. Considering the quality of user-experience as the crux of mobile video services, this chapter aims to provide a guide to user-centered studies of mobile video quality. This will benefit future research in better understanding user needs and experiences, designing effective research, and providing solid solutions to improve the quality of mobile video. This chapter is organized in three main parts: (1) a review of recent user studies from the perspectives of research focuses, user study methods, and data analysis methods; (2) an example of conducting a user study of mobile video research, together with the discussion on a series of relative issues, such as participants, materials and devices, study procedure, and analysis results; and (3) a conclusion with an open discussion about challenges and opportunities in mobile video related research, and associated potential future improvements.

Influence of consumption affect displayed by mobile phone on user experience

2010 ◽  
Vol null (29) ◽  
pp. 213-222
Author(s):  
Lee, Seung Min ◽  
양보영
Keyword(s):  
Mobile Phone ◽  
User Experience

User experience sharing

2018 ◽  
Vol 52 (5/6) ◽  
pp. 1154-1184 ◽  
Author(s):  
Tom Chen ◽  
Judy Drennan ◽  
Lynda Andrews ◽  
Linda D. Hollebeek
Keyword(s):  
User Experience ◽  
Online Communities ◽  
Structural Equation ◽  
Online Survey ◽  
Mobile App ◽  
Equation Modeling ◽  
Content Type ◽  
Key Driver ◽  
The Relationship ◽  
Level Of Effort

PurposeThis paper aims to propose user experience sharing (UES) as a customer-based initiation of value co-creation pertaining to service provision, which represents customers’ level of effort made for the direct benefit of others in their service network. The authors propose and empirically examine a user experience sharing model (UESM) that explicates customer-to-customer (C2C) UES and its impacts on firm-desired customer-based outcomes in online communities.Design/methodology/ApproachBased on an extensive review, the authors conceptualize UES and UESM. By using online survey data collected from mobile app users in organic online communities, the authors performed structural equation modeling analyses by using AMOS 24.FindingsThe results support the proposed UESM, showing that C2C UES acts as a key driver of both firm-desired customer efforts and customer insights. The results also confirmed that service-dominant (S-D) logic-informed motivational drivers exert a significant impact on C2C UES. Importantly, C2C UES mediates the relationship between S-D logic-informed motivational drivers and firm-desired customer-based outcomes.Originality/valueThis study offers a pioneering attempt to develop an overarching concept, UES, which reflects customers’ initiation of value co-creation, and to empirically examine C2C UES. The empirical evidence supports the key contention that firms should proactively facilitate C2C UES.

A Video Quality Assessment Method for VoIP Applications Based on User Experience

2017 ◽  
Vol 18 (1) ◽  
Author(s):  
Zedong Wang ◽  
Jing Wang ◽  
Fei Wang ◽  
Chengcai Li ◽  
Zesong Fei ◽  
...  
Keyword(s):  
Quality Assessment ◽  
User Experience ◽  
Video Quality ◽  
Assessment Method ◽  
Video Quality Assessment ◽  
Quality Assessment Method

Correlates of academic misconduct and CSR proclivity of students

2014 ◽  
Vol 6 (1) ◽  
pp. 128-148 ◽  
Author(s):  
Stephen K. Nkundabanyanga ◽  
Charles Omagor ◽  
Irene Nalukenge
Keyword(s):  
Structural Equation ◽  
Statistical Modelling ◽  
Error Variance ◽  
Academic Misconduct ◽  
Fraud Triangle ◽  
Cross Sectional ◽  
Content Type ◽  
Quantitative Results ◽  
Corporate Social

Purpose – The purpose of this paper is to examine the effect of the fraud triangle, Machiavellianism, academic misconduct and corporate social responsibility (CSR) proclivity of students. Design/methodology/approach – The present study surveyed 471 university students. The study was cross-sectional and employed structural equation modelling in statistical modelling. Findings – The study provides evidence that perceived opportunity to cheat in examinations is the single most important factor accounting for significant variations in rationalization and academic misconduct. Similarly, low Machiavellians significantly get inclined to CSR ideals. The fraud triangle alone accounts for 36 per cent of the variations in academic misconduct, hence the error variance is 64 per cent of academic misconduct itself. This error variance increases to 78 per cent when a combination of perceived opportunity, rationalization, Machiavellianism is considered. Moreover, both Machiavellianism and academic misconduct account for 17 per cent of variations in students’ proclivity to CSR ideals. Research limitations/implications – Results imply that creating a setting that significantly increases a student's anticipated negative affect from academic misconduct, or effectively impedes rationalization ex ante, might prevent some students from academic misconduct in the first place and then they will become good African corporate citizens. Nevertheless, although the unit of analysis was students, these were from a single university – something akin to a case study. The quantitative results should therefore be interpreted with this shortcoming in mind. Originality/value – This paper contributes to the search for predictors of academic misconduct in the African setting and as a corollary, for a theory explaining academic misconduct. Those students perceiving opportunity to cheat in examinations are also able to rationalize and hence engage in academic misconduct. This rationalization is enhanced or reduced through Machiavellianism.

The quality of user experiences for mobile recommendation systems: an end-user perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Woon Kian Chong ◽  
Zhuang Ma
Keyword(s):  
Social Norms ◽  
User Experience ◽  
Online Survey ◽  
Recommendation Systems ◽  
User Involvement ◽  
Sample Population ◽  
User Experiences ◽  
Content Type ◽  
Involvement Theory

PurposeThis paper attempts to identify key factors (i.e., personalization, privacy awareness and social norms) that affect user experiences (UXs) of mobile recommendation systems according to the user involvement theory (push-based and pull-based) and their relationships.Design/methodology/approachThe study is based on an online survey with students from an international business school located in southwestern China. The sample population for the study included randomly selected 600 university students who are active mobile phone users. A total of 470 questionnaires were returned; 456 were valid (14 were invalid due to the incompleteness of their responses), providing a response rate of 65%.FindingsSocial norms have the largest impact on user experience quality, followed by personalization and privacy awareness. User involvement in mobile recommendation systems has mediating effects on the above relationships, with larger effects on pull-based systems than on push-based systems.Originality/valueThis study provides an integrated framework for researchers to measure the effects of social, personal and risk factors on the quality of user experience. The results enrich the literature on user involvement, mobile recommendation systems and UX. The findings provide significant implications for both retailers and developers of mobile recommendation systems.

User experience research on social robot application

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wei-Feng Tung ◽  
Jaileez Jara Santiago Campos
Keyword(s):  
User Experience ◽  
System Development ◽  
Social Robot ◽  
Human Robot Interaction ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Fast Detection ◽  
Eeg Data ◽  
The Social ◽  
Intelligent Process

PurposeSocial robot, a subtype of robots that is designed for the various interactive services for human, which must deliver superior user experience (UX) by expressing human-like social behavior or service and emotional sensitivity. This study develops a social robot app called the “Music Buddy” in ASUS Zenbo that provides a situational music based on the users' electroencephalogram (EEG) data. The research uses this app to explore its UX criteria and the prioritization of human robot interaction (HRI).Design/methodology/approachThe research methodologies include the both system development and decision analysis for the social robot. The first part is to design and develop a social robot app. The second part is to investigate the criteria of HRI through the Analytic Hierarchy Process (AHP) from UX aspects.FindingsIn view of the results of the AHP, the first-layer criteria consist of personalized function, easy-to-use the system and intelligent process. In terms of prioritization of multi-criteria, the overall ranking discloses the nine criteria in order including autonomy for robot, easy-to-use EEG device, accurate music preference, simple operations for brainwave device and easy-to-use applications, active music recommendation, automatic updates of music and easy-to-use robot as well as fast detection for emotion.Originality/valueThis research includes a self-developed social robot app and its UX research using AHP. This paper contributes to the improvement and innovation of the social robot design according to the results of UX research on HRI of social robot.

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