Title | ||
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User Behavior Model Based On Affordances And Emotions: A New Approach For An Optimal Use Method In Product-User Interactions |
Abstract | ||
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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. |
Year | DOI | Venue |
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2015 | 10.1080/10447318.2014.986636 | INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION |
Field | DocType | Volume |
Computer science,Subjective expected utility,Human–computer interaction,User modeling,Computer user satisfaction,Affordance,Affect theory | Journal | 31 |
Issue | ISSN | Citations |
6 | 1044-7318 | 1 |
PageRank | References | Authors |
0.36 | 17 | 2 |
Name | Order | Citations | PageRank |
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Taehyun Ha | 1 | 16 | 3.46 |
Sangwon Lee | 2 | 122 | 7.90 |