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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jungsik Hwang Kun Chang Lee |
| Copyright Year | 2013 |
| Description | Author affiliation: Bus. Sch. & Dept. of Interaction Sci., Sungkyunkwan Univ., Seoul, South Korea (Kun Chang Lee) || Dept. of Interaction Sci., Sungkyunkwan Univ., Seoul, South Korea (Jungsik Hwang) |
| Abstract | Personality is always important in determining the users' behavior. A wide variety of systems and devices are also known to possess various kinds of personalities which can be described as a set of features. When users' personality and target systems' personality are matched, it can be said that the degree of personality matching is good. This paper deals with the issue of the importance of personality matching in analyzing users' behavior. The fuzzy cognitive map (FCM) was adopted to represent causal relationships between the personalities of users and target systems. Then, several scenarios were simulated with the constructed FCM. The results show that the personalities of the user and target systems significantly affect the quality of social interactions between them. In addition, we confirmed that this paper's approach reveals the possibility of using FCM to predict a user's personality traits from the FCM experiment results. Implications of the study and future directions are also discussed. |
| Starting Page | 417 |
| Ending Page | 424 |
| File Size | 503000 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781467359337 |
| ISSN | 15301605 |
| e-ISBN | 9780769548920 |
| DOI | 10.1109/HICSS.2013.219 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-01-07 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Robots Predictive models Educational institutions Human computer interaction Analytical models Atmospheric measurements Particle measurements |
| Content Type | Text |
| Resource Type | Article |
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