User Experience Evaluation in Intelligent Environments: A Comprehensive Framework

‘User Experience’ (UX) is a term that has been established in HCI research and practice, subsuming the term ‘usability’. UX denotes that interaction with a contemporary technological system goes far beyond usability, extending to one’s emotions before, during, and after using the system and cannot b...

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Bibliographic Details
Published in:Technologies (Basel) 2021-06, Vol.9 (2), p.41
Main Authors: Ntoa, Stavroula, Margetis, George, Antona, Margherita, Stephanidis, Constantine
Format: Article
Language:English
Subjects:
Brand loyalty
Efficiency
Evaluation
framework
Intelligence
intelligent environment
methodology
Perceptions
Questionnaires
R&D
Research & development
smart environment
Usability
User experience
User interfaces
User needs
User satisfaction
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Summary:‘User Experience’ (UX) is a term that has been established in HCI research and practice, subsuming the term ‘usability’. UX denotes that interaction with a contemporary technological system goes far beyond usability, extending to one’s emotions before, during, and after using the system and cannot be defined only by studying the fundamental usability attributes of effectiveness, efficiency and user satisfaction. Measuring UX becomes a substantially more complicated endeavor when the interaction target is not just a technological system or application, but an entire intelligent environment and the systems contained therein. Motivated by the imminent need to assess, measure and quantify user experience in intelligent environments, this paper presents a methodological and conceptual framework that provides concrete guidance for UX research, design and evaluation, explaining which UX parameter should be measured, how, and when. An evaluation of the framework indicated that it can be valuable for researchers and practitioners, assisting them in planning, carrying out, and analyzing UX studies in a comprehensive and thorough manner, thus enhancing their understanding and improving the experiences they design for intelligent environments.
ISSN:2227-7080
2227-7080
DOI:10.3390/technologies9020041