Abstract:While the COIVD-19 has triggered the rapid and large-scale promotion of online courses, it has also exposed the problem of poor user experience on online course platforms. Therefore, this research hopes to propose a complete user experience evaluation system to clarify the deficiencies of the platform and give directions for improvement. This research combines qualitative and quantitative, from the perspective of user experience, integrates data obtained through literature research, interview and network resea… Show more
“…In this section, we will put forward the method of D numbers integration that is adopted to make an assessment of user experience of the online live course platform, and account for the rationality of the proposed method by data collection based on the evaluation index system in the literature [32].…”
Section: Applications In Madmmentioning
confidence: 99%
“…However, due to the original design purpose and the characteristics of the software, the software cannot fully meet the needs of schools in online live courses. In this case, it is prominently significant to optimize the user experience of the online live course platforms [32].…”
Section: Applications In Madmmentioning
confidence: 99%
“…In Wang et al [32], qualitative and quantitative methods were combined to establish evaluation indicators by integrating data obtained through the literature research, interviews and network research from the perspective of user experience. Delphi method and analytic hierarchy process were utilized to establish the weight of each indicator and set the scoring grade.…”
Section: Applications In Madmmentioning
confidence: 99%
“…However, there is an important issue that has not been well resolved in [32]: when evaluating different platforms, some experts may not give definite scores as they are not familiar with the scoring items. In this case, the scores made reluctantly may greatly affect the final evaluation results.…”
Section: Applications In Madmmentioning
confidence: 99%
“…In Wang et al [32], the main factors affecting the user experience of the online live course platforms are divided into four primary indicators, which are respectively Ease o Operation, Functional Completeness, Interface Rationality, Technical Reliability. Each pri mary indicator is divided into several secondary indicators.…”
D numbers theory is an extension of Dempster–Shafer evidence theory. It eliminates the constraints of mutual exclusion and completeness under the frame of discernment of Dempster–Shafer evidence theory, so it has been widely used to deal with uncertainty modelling, but if it cannot effectively deal with the problem of missing information, sometimes unreasonable conclusions will be drawn. This paper proposes a new type of integration representation of D numbers, which compares the data of multiple evaluation items horizontally, and can reasonably fill in missing information. We apply this method to the user experience evaluation problem of online live course platform to verify the effectiveness of this method.
“…In this section, we will put forward the method of D numbers integration that is adopted to make an assessment of user experience of the online live course platform, and account for the rationality of the proposed method by data collection based on the evaluation index system in the literature [32].…”
Section: Applications In Madmmentioning
confidence: 99%
“…However, due to the original design purpose and the characteristics of the software, the software cannot fully meet the needs of schools in online live courses. In this case, it is prominently significant to optimize the user experience of the online live course platforms [32].…”
Section: Applications In Madmmentioning
confidence: 99%
“…In Wang et al [32], qualitative and quantitative methods were combined to establish evaluation indicators by integrating data obtained through the literature research, interviews and network research from the perspective of user experience. Delphi method and analytic hierarchy process were utilized to establish the weight of each indicator and set the scoring grade.…”
Section: Applications In Madmmentioning
confidence: 99%
“…However, there is an important issue that has not been well resolved in [32]: when evaluating different platforms, some experts may not give definite scores as they are not familiar with the scoring items. In this case, the scores made reluctantly may greatly affect the final evaluation results.…”
Section: Applications In Madmmentioning
confidence: 99%
“…In Wang et al [32], the main factors affecting the user experience of the online live course platforms are divided into four primary indicators, which are respectively Ease o Operation, Functional Completeness, Interface Rationality, Technical Reliability. Each pri mary indicator is divided into several secondary indicators.…”
D numbers theory is an extension of Dempster–Shafer evidence theory. It eliminates the constraints of mutual exclusion and completeness under the frame of discernment of Dempster–Shafer evidence theory, so it has been widely used to deal with uncertainty modelling, but if it cannot effectively deal with the problem of missing information, sometimes unreasonable conclusions will be drawn. This paper proposes a new type of integration representation of D numbers, which compares the data of multiple evaluation items horizontally, and can reasonably fill in missing information. We apply this method to the user experience evaluation problem of online live course platform to verify the effectiveness of this method.
The quality of the User Experience (UX) with systems, products and services is now considered an indispensable part of success in the market. Users' expectations have increased in such a way that mere usability is no longer sufficient. While numerous UX subjective evaluation tools exist, there is little guidance on how to select or use these tools. Therefore, there is a need to provide a critical state of the art on the topic of subjective evaluation tools and the UX dimensions covered. In this study, we conducted a systematic literature review on UX subjective evaluation tools and the UX dimensions covering the period of 2010–2021 with an initial sample of 3831 publications, 325 of which were selected for the final analysis, to provide researchers and practitioners with the recent changes in the field of UX. Results showed that 104 different tools are available for UX evaluation, they can be classified as general or domain-specific, applicable for a wide variety of products and in total covering more than 300 UX dimensions. Our categorization of UX dimensions under 13 main dimensions (e.g. usability, utility, hedonic, emotion, sensory, etc.) showed that the informational, social, cognitive and physical dimensions appeared to be less frequently present in current tools. We argue that these four dimensions deserve more space in UX tools. Having a high number of UX evaluation tools can be confusing for evaluators, and they need some guidance for selecting and combining tools. Modularity is the emerging trend in the development of UX evaluation questionnaires (e.g. meCUE, UEQ+), bringing the benefits of being thorough, flexible, easy to use, low-cost and rapid, while avoiding overlapping of dimensions and providing comparability through the use of a similar format and rating scale. Finally, the need for having a comprehensive evaluation tool requires updating the set of included dimensions to accommodate for new generations of products and technologies.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.