User Experience in Virtual Reality, conducting an evaluation on multiple characteristics of a Virtual Reality Experience
Papadimitriou, Dionysios Georgios (2019)
Papadimitriou, Dionysios Georgios
2019
Master's Degree Programme in Human-Technology Interaction
Informaatioteknologian ja viestinnän tiedekunta - Faculty of Information Technology and Communication Sciences
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Hyväksymispäivämäärä
2019-12-09
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-201912066650
https://urn.fi/URN:NBN:fi:tuni-201912066650
Tiivistelmä
Virtual Reality applications are today numerous and cover a wide range of interests and tastes. As popularity of Virtual Reality increases, developers in industry are trying to create engrossing and exciting experiences that captivate the interest of users.
User-Experience, a term used in the field of Human-Computer Interaction and Interaction Design, describes multiple characteristics of the experience of a person interacting with a product or a system. Evaluating User-Experience can provide valuable insight to developers and researchers on the thoughts and impressions of the end users in relation to a system. However, little information exists regarding on how to conduct User-Experience evaluations in the context of Virtual Reality. Consecutively, due to the numerous parameters that influence User-Experience in Virtual Reality, conducting and organizing evaluations can be overwhelming and challenging.
The author of this thesis investigated how to conduct a User-Experience evaluation on multiple aspects of a Virtual Reality headset by identifying characteristics of the experience, and the methods that can be used to measure and evaluate them. The data collected was both qualitative and quantitative to cover a wide range of characteristics of the experience. Furthermore, the author applied usability testing, think-aloud protocol, questionnaires and semi-structured interview as methods to observe user behavior and collect information regarding the aspects of the Virtual Reality headset. The testing session described in this study included 14 participants. Data from this study showed that the combination of chosen methods were able to provide adequate information regarding the experience of the users despite encountered difficulties. Additionally, this thesis showcases which methods were used to evaluate specific aspects of the experience and the performance of each method as findings of the study.
User-Experience, a term used in the field of Human-Computer Interaction and Interaction Design, describes multiple characteristics of the experience of a person interacting with a product or a system. Evaluating User-Experience can provide valuable insight to developers and researchers on the thoughts and impressions of the end users in relation to a system. However, little information exists regarding on how to conduct User-Experience evaluations in the context of Virtual Reality. Consecutively, due to the numerous parameters that influence User-Experience in Virtual Reality, conducting and organizing evaluations can be overwhelming and challenging.
The author of this thesis investigated how to conduct a User-Experience evaluation on multiple aspects of a Virtual Reality headset by identifying characteristics of the experience, and the methods that can be used to measure and evaluate them. The data collected was both qualitative and quantitative to cover a wide range of characteristics of the experience. Furthermore, the author applied usability testing, think-aloud protocol, questionnaires and semi-structured interview as methods to observe user behavior and collect information regarding the aspects of the Virtual Reality headset. The testing session described in this study included 14 participants. Data from this study showed that the combination of chosen methods were able to provide adequate information regarding the experience of the users despite encountered difficulties. Additionally, this thesis showcases which methods were used to evaluate specific aspects of the experience and the performance of each method as findings of the study.