Aaltodoc publication archive (Aalto University institutional repository)
School of Business | Department of Information and Service Economy | Information Systems Science | 2013
Thesis number: 13407
Aesthetics, affect and user preference - Finding objective measures for subjective experiences
|Title:||Aesthetics, affect and user preference - Finding objective measures for subjective experiences|
|Year:||2013 Language: eng|
|Department:||Department of Information and Service Economy|
|Academic subject:||Information Systems Science|
|Index terms:||tietojärjestelmät; information systems; design management; design management; käytettävyys; usability; kokemus; experience; visuaalinen; visual; kuluttajakäyttäytyminen; consumer behaviour|
» hse_ethesis_13407.pdf size:3 MB (2610654)
|Key terms:||aesthetics; affect; emotions; valence; arousal; dominance; user preference; eye movement; fixations|
Objectives of the study
The Human-Computer Interaction (HCI) field has long concentrated on easily measured variables such as effectiveness, adoption and ease of use to study technology usage. In order to study user preference in particular, the inclusion of more socio-cognitive variables such aesthetics and emotions is necessary. However, these subjective experiences are intrinsically harder to measure: using subjective measures like questionnaires give results that are colored by cognitive processing, whereas subjective evaluations are formed instantly after exposure. The objective is to find what the effect of aesthetics and emotions are to user preference, and to test whether eye movement could provide an objective measure to support and validate subjective measures.
Academic background and methodology
Based on previous literature and studies, a model predicting user preference is developed. For eye movement tracking, modern abstract and representative art are used as test material. It is hypothesized that user preference is predicted by aesthetics, fixations (static eye movement), valence, arousal and dominance (emotions). The direct effect of these variables as well as the mediating effect of emotions is studied. The direct effect is tested by regression analysis, and the results are used for modify the model accordingly. The results are verified by path analysis which is also used to test the mediation effect of emotions and group differences of abstract and representative images.
Findings and conclusions
The research hypotheses were mainly confirmed by the study. It was found that aesthetics, valence and arousal explain and predict preference. Only dominance did not significantly predict preference. Aesthetic and affect reactions are formed instantly after viewing an object, they are involuntary in nature and the effect of these rapid evaluations is long lasting. Measuring such swift decisions is challenging, but it was found that eye movement and fixations in particular predict preference. In practical terms, it means fixations can be used along with self-reported measures to corroborate subjective evaluations.
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