User Behavior Model Based on Affordances and Emotions: A New Approach for an Optimal Use Method in Product–User Interactions
- Authors
- Ha T.[Ha T.]; Lee S.[Lee S.]
- Issue Date
- 2015
- Citation
- International Journal of Human-Computer Interaction, v.31, no.6, pp.371 - 384
- Journal Title
- International Journal of Human-Computer Interaction
- Volume
- 31
- Number
- 6
- Start Page
- 371
- End Page
- 384
- URI
- https://scholarworks.bwise.kr/skku/handle/2021.sw.skku/48100
- DOI
- 10.1080/10447318.2014.986636
- Abstract
- This study proposes a new approach to developing a user behavior model to explain how a user finds the optimal use. This is achieved by considering user concerns, task significances, affordances, and emotional responses as the interaction components and by exploring behavior sequences for a goal in using a product the first time. The tasks in the same group at each level in the user concern structure are therefore in a competing relationship in going up to a higher task. The task tree with the significances and the affordance probabilities can be analyzed. The order of a user’s exploring behavior sequences can be determined through comparisons of the expected significances, which can be obtained by the modified subjective expected utility theory. A user’s emotional responses for the tasks that a behavior sequence is composed of can be calculated by the modified decision affect theory. Here, the emotional response refers to a user’s internal reactions for the degree to which a product’s affordance features can meet his or her mental model in use. The average emotional response for a behavior sequence can be a user’s decisional factor for the optimal use method in using a product with a goal. Also, the design problems of a product can be checked from users’ point of view, and the emotional losses/changes by usage failures can be discussed. For an illustrative purpose, the proposed model is applied to a numerical example with some assumptions. © , Copyright © Taylor & Francis Group, LLC.
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Collections - Graduate School > Interaction Science > 1. Journal Articles
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