User-experience of tablet operating system: An experimental investigation of Windows 8, iOS 6, and Android 4.2

Chien, Chen–Fu; Lin, Kwei-Jay; Yu, Annie Pei-I

doi:10.1016/j.cie.2014.04.015

Cited by 38 publications

(20 citation statements)

References 48 publications

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“…An easily identifiable interface and effective tutorials improve user satisfaction [ 23 ]. User experience can also enhance the market competitiveness of products and increase the revenue gained by enterprises [ 24 ]. Decisions affect the optimization direction of the app, and the future of the enterprise.…”

Section: Introductionmentioning

confidence: 99%

Important Factors Affecting User Experience Design and Satisfaction of a Mobile Health App—A Case Study of Daily Yoga App

Huang

2020

IJERPH

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In recent years, mobile health (mHealth) has gained popularity. Yoga apps help users to exercise at home and improve their health. It is worth discussing how to give yogis a better experience and higher satisfaction to improve their willingness to keep using yoga apps. In this study, the Daily Yoga app was selected as the research object to explore important factors related to its user experience design and user satisfaction. Through a literature review and Delphi method composed of eight experts, this study put forward the important criteria framework of user experience design for the Daily Yoga app and then, used the DEMATEL (Decision Making and Trial Evaluation Laboratory)-based ANP (Analytic Network Process) method to determine the factors’ importance order and the causal relationships among them. Finally, combined with the results of an importance–performance analysis of 16 real users, we discuss the improvement measures. The research results show that the yoga class is the most critical factor in the user experience design of the Daily Yoga app, the target plan is a factor that is in great need of improvement, and having an attractive interface can improve user experience. The evaluation model of the study can act as a reference for improving user experience with the Daily Yoga app, and can also be widely used in the process of user experience design, questionnaire production, and evaluation optimization of mHealth app and related applications.

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Section: Introductionmentioning

confidence: 99%

Important Factors Affecting User Experience Design and Satisfaction of a Mobile Health App—A Case Study of Daily Yoga App

Huang

2020

IJERPH

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“…We used 27 representative samples to construct the multiobjective optimisation model, and 151 Pareto optimal solutions were generated. Employing these Pareto optimal solutions, the design variables were reduced by using rough sets for dealing with the nonlinear affective responses of consumers to products (Chien et al, 2014). On the basis of the reducts, the design rules concerning the design variables and affective responses could be determined.…”

Section: Discussionmentioning

confidence: 99%

“…When performing product form design, designers should thoroughly understand the design knowledge related to affective responses and design variables. A number of studies have been carried out on the discovery and acquisition of design knowledge (Chien et al, 2014;Shieh et al, 2016;Zhai et al, 2009a). However, in these studies, numerous design samples were required, which increased the cost of and time required for the design procedure.…”

Section: Introductionmentioning

confidence: 99%

Extracting knowledge for product form design by using multiobjective optimisation and rough sets

Zhu

2020

JAMDSM

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Industrial product form design has become consumer-centred. Affective responses related to consumers' affective needs are considered invaluable for product form design and have attracted increasing attention. When designing product forms, designers should thoroughly understand the design knowledge concerning multiple affective responses and design variables. This paper proposes a systematic approach to extraction of design knowledge by using multiobjective optimisation and rough sets. Design analysis is first employed to determine design variables and multiple affective responses. As per the results, a multiobjective optimisation model is constructed that involves optimising the multiple affective responses. An improved version of the strength Pareto evolutionary algorithm (SPEA2) is adopted to solve the multiobjective optimisation model and generate the Pareto optimal solutions. Based on these Pareto optimal solutions, rough sets are employed to extract design knowledge that is common to these Pareto optimal solutions. A car profile design was employed as a case study to illustrate the proposed approach. The results suggest that the proposed approach is time-and cost-efficient and can effectively extract design knowledge that provides suitable insight into product form design.traditional approach for solving an MOP involves integrating multiple objectives into a single-objective and then using the optimisation algorithm to derive a single optimal solution (Guo et al., 2014;Hsiao et al., 2010); that is, the MOP is converted into a single-objective optimisation problem. This approach is simple and efficient; however, its limitations prevent consideration of all possible solutions, and it cannot provide sufficient knowledge regarding design variables and affective responses. Thus, the traditional optimisation approach constrains their usefulness to designers (Shieh et al., 2017). By contrast, a multiobjective optimisation approach does not require the integration of multiple objectives and can provide numerous Pareto optimal solutions. Based on these Pareto optimal solutions, designers can extract knowledge for product form design (Deb and Srinivasan, 2006).Rough sets are an effective and systematic method for knowledge discovery. They can be used to analyse all types of data, including linear and nonlinear data (Nagamachi et al., 2006). The main difference between rough sets and other approaches coping with uncertain problems is that rough sets do not require any prior information beyond the problem itself . Because of these advantages, rough sets have been used in many studies for extracting design knowledge . Zhai et al. (2009b) employed rough sets to analyse the imprecise affective responses of consumers and acquire design knowledge for improving consumer satisfaction with product design. Shi et al. (2012) used rough sets to reduce the design variables of product form design and then employed association rule mining to extract design principles. In this study, we used rough sets to extract design knowledge from...

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“…In the vast majority of cases, students used computers with the most recent Windows and Linux operating systems, and currently Android for example is the most widespread system dedicated to mobile devices [ 19 ]. In individual cases, one reported logging on to a particular course even from three different devices, which may indicate the continuation of studies beyond the place of residence of the respondents.…”

Section: Discussionmentioning

confidence: 99%

Analysis of Web-based learning methods in emergency medicine: randomized controlled trial

Leszczyński¹,

Gotlib²,

Kopański³

et al. 2018

aoms

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IntroductionIn medical education, Web-based learning is increasingly used as a complement to practical classes. The objective of the study was to perform a comparative analysis of three different forms of e-learning course on emergency medicine in terms of an indicator of knowledge growth and students’ satisfaction.Material and methodsFor the purpose of the study, we developed and implemented a tool in the form of an online course: A – non-animated presentation, B – video, C – interactive video. The participants were undergraduate students of emergency medicine and nursing (n = 106). A pre-test and a post-test were carried out, and the resulting data were analyzed using parametric tests (t-test, ANOVA, post-hoc). Final questionnaires assessing six parameters of satisfaction were also evaluated.ResultsA significant increase in knowledge in the experimental group which used an interactive video was observed (p = 0.04). Moreover, the number of replays of learning material was the highest in group C (2.09 ±2.48). The level of post-course satisfaction turned out to be comparable in all three groups (p = 0.62).ConclusionsThe study allowed the interactive course to be identified as the most effective method of distance learning among selected ones. Due to the limitations of the study, we conclude that there is a need for further studies on the effectiveness of e-learning in emergency medicine.

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User-experience of tablet operating system: An experimental investigation of Windows 8, iOS 6, and Android 4.2

Cited by 38 publications

References 48 publications

Important Factors Affecting User Experience Design and Satisfaction of a Mobile Health App—A Case Study of Daily Yoga App

Important Factors Affecting User Experience Design and Satisfaction of a Mobile Health App—A Case Study of Daily Yoga App

Extracting knowledge for product form design by using multiobjective optimisation and rough sets

Analysis of Web-based learning methods in emergency medicine: randomized controlled trial

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