A psychometric user experience model based on fuzzy measure approaches. (October 2018)
- Record Type:
- Journal Article
- Title:
- A psychometric user experience model based on fuzzy measure approaches. (October 2018)
- Main Title:
- A psychometric user experience model based on fuzzy measure approaches
- Authors:
- Chou, Jyh-Rong
- Abstract:
- Highlights: This paper presents a psychometric user experience model using fuzzy measure approaches. The User Experience Questionnaire (UEQ) is employed as a psychometric instrument to collect respondents' rating data. Rating variables are converted into Gaussian fuzzy numbers and aggregated by means of the aggregation operations. A user experience index (UXI) was developed as a metric for assessing UX quality quantitatively. An empirical study concerning the episodic UX measures of using a set of touch mice was conducted. Abstract: User experience (UX) is considered a key quality of interactive products in today's competitive mass markets and is of growing interest in both academia and industry. UX concerns the encounters a user has while interacting with products, systems, and services. It is ubiquitous, omnipresent, and dynamic in nature, referring to the non-quantifiable, subjective, affective-based, and context-dependent processes. UX is difficult for researchers to objectively and uniformly measure as it involves complex human perceptual interpretations of experiential responses with a certain degree of uncertainty, imprecision, and vagueness. Based on the user experience questionnaire (UEQ), this paper presents a psychometric UX model using fuzzy measure approaches, the purpose of which is to develop a metric for quantitative assessment of certain product UXs through a user experience index (UXI). This model enables researchers to understand users' perceptions of theHighlights: This paper presents a psychometric user experience model using fuzzy measure approaches. The User Experience Questionnaire (UEQ) is employed as a psychometric instrument to collect respondents' rating data. Rating variables are converted into Gaussian fuzzy numbers and aggregated by means of the aggregation operations. A user experience index (UXI) was developed as a metric for assessing UX quality quantitatively. An empirical study concerning the episodic UX measures of using a set of touch mice was conducted. Abstract: User experience (UX) is considered a key quality of interactive products in today's competitive mass markets and is of growing interest in both academia and industry. UX concerns the encounters a user has while interacting with products, systems, and services. It is ubiquitous, omnipresent, and dynamic in nature, referring to the non-quantifiable, subjective, affective-based, and context-dependent processes. UX is difficult for researchers to objectively and uniformly measure as it involves complex human perceptual interpretations of experiential responses with a certain degree of uncertainty, imprecision, and vagueness. Based on the user experience questionnaire (UEQ), this paper presents a psychometric UX model using fuzzy measure approaches, the purpose of which is to develop a metric for quantitative assessment of certain product UXs through a user experience index (UXI). This model enables researchers to understand users' perceptions of the interactions that constitute qualities of using a specific product. An empirical study concerning the episodic UX measures of using a set of touch mice was conducted to verify the applicability and effectiveness of the proposed UX model. The theoretical and practical implications of the UX model are also discussed. … (more)
- Is Part Of:
- Advanced engineering informatics. Volume 38(2018)
- Journal:
- Advanced engineering informatics
- Issue:
- Volume 38(2018)
- Issue Display:
- Volume 38, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 38
- Issue:
- 2018
- Issue Sort Value:
- 2018-0038-2018-0000
- Page Start:
- 794
- Page End:
- 810
- Publication Date:
- 2018-10
- Subjects:
- User experience -- Psychometric model -- User experience questionnaire (UEQ) -- User experience index -- Fuzzy measure
Computer-aided engineering -- Periodicals
Engineering -- Data processing -- Periodicals
620.00285 - Journal URLs:
- http://www.sciencedirect.com/science/journal/14740346 ↗
http://books.google.com/books?id=KhFVAAAAMAAJ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.aei.2018.10.010 ↗
- Languages:
- English
- ISSNs:
- 1474-0346
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0696.851100
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 20799.xml