TY  - BOOK
AU  - Karapanos,Evangelos
ED  - SpringerLink (Online service)
TI  - Modeling Users' Experiences with Interactive Systems
T2  - Studies in Computational Intelligence,
SN  - 9783642310003
AV  - Q342 
U1  - 006.3 23
PY  - 2013///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg, Imprint: Springer
KW  - Engineering
KW  - Multimedia information systems
KW  - Artificial intelligence
KW  - Computational intelligence
KW  - Computational Intelligence
KW  - Artificial Intelligence (incl. Robotics)
KW  - Multimedia Information Systems
N1  - Personal Attribute Judgments -- Analyzing Personal Attribute Judgments -- User Experience Over Time -- iScale: studying long-term experiences through memory -- A semi-automated approach to the content analysis of experience narratives
N2  - Over the past decade the field of Human-Computer Interaction has evolved from the study of the usability of interactive products towards a more holistic understanding of how they may mediate desired human experiences.  This book identifies the notion of diversity in usersʼ experiences with interactive products and proposes methods and tools for modeling this along two levels: (a) interpersonal diversity in usersʽ responses to early conceptual designs, and (b) the dynamics of usersʼ experiences over time. The Repertory Grid Technique is proposed as an alternative to standardized psychometric scales for modeling interpersonal diversity in usersʼ responses to early concepts in the design process, and new Multi-Dimensional Scaling procedures are introduced for modeling such complex quantitative data. iScale, a tool for the retrospective assessment of usersʼ experiences over time is proposed as an alternative to longitudinal field studies, and a semi-automated technique for the analysis of the elicited experience narratives is introduced. Through these two methodological contributions, this book argues against averaging in the subjective evaluation of interactive products. It proposes the development of interactive tools that can assist designers in moving across multiple levels of abstraction of empirical data, as design-relevant knowledge might be found on all these levels. Foreword by Jean-Bernard Martens and Closing Note by Marc Hassenzahl
UR  - http://dx.doi.org/10.1007/978-3-642-31000-3
ER  -