By Evangelos Karapanos
Over the previous decade the sphere of Human-Computer interplay has advanced from the research of the usability of interactive items in the direction of a extra holistic knowing of the way they might mediate wanted human experiences.
This booklet identifies the proposal of range in clientsʼ stories with interactive items and proposes tools and instruments for modeling this alongside degrees: (a) interpersonal range in clientsʽ responses to early conceptual designs, and (b) the dynamics of clientsʼ reports over time.
The Repertory Grid method is proposed as a substitute to standardized psychometric scales for modeling interpersonal range in clientsʼ responses to early thoughts within the layout approach, and new Multi-Dimensional Scaling tactics are brought for modeling such advanced quantitative data.
iScale, a device for the retrospective evaluation of clientsʼ reviews over the years is proposed in its place to longitudinal box experiences, and a semi-automated process for the research of the elicited event narratives is introduced.
Through those methodological contributions, this ebook argues opposed to averaging within the subjective review of interactive items. It proposes the advance of interactive instruments that could help designers in relocating throughout a number of degrees of abstraction of empirical information, as design-relevant wisdom could be chanced on on these types of levels.
Foreword through Jean-Bernard Martens and Closing be aware through Marc Hassenzahl.
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Additional info for Modeling Users' Experiences with Interactive Systems
Two views, one representing the designers group and one representing the users group were derived from the configurations (see chapter 3 for the exact procedure). The resulting two views were able to adequately model a total 85 attributes (56%). 8 Conclusion This chapter highlighted two issues in the use of standardized psychometric scales in measuring users’ experiences with products. Firstly, a-priori defined measurement scales are inherently limited in missing potentially relevant measures that the researchers did not consider as relevant to a given context.
Averaging procedures, on the other hand, treat diversity among participants as error and thereby contradict the basic idea of The Repertory Grid and relevant personal attribute elicitation techniques. Last, we proposed an initial quantitative technique that aims at inquiring into the diverse views that different individuals might have on a set of products. The technique employs Multi-Dimensional Scaling in a) identifying homogeneous groups of individuals, and b) eliciting a different view for each homogeneous group of individuals.
However, in this latter case, the views are different 2D projections of a shared multi-dimensional configuration. The 2D views that result from the analysis presented in this chapter, on the other hand, can be independent. Views of 2 or higher dimensionality provide relations not only about the stimuli but also about the relations between the different attributes and are thus preferred over 1D views. A two-step procedure is proposed to establish whether zero, one or two models with dimension K=2 can adequately model the attribute scores of a single observer.