Abstract
This paper presents a novel Interaction Reproducing Model (IRM) for the purpose of adjusting computer user support to match the state of the user, and it consists of a set of Interaction Finite State Machines (I-FSMs). Each I-FSM is trained using actual interaction records, and it represents an ideal interaction pattern for a user state. It can choose an appropriate system action by reproducing the interaction pattern of the I-FSM most similar to the current interaction. We developed a prototype teaching system, and conducted preliminary experiments. The results show that user impressions using our approach were better than when using the system without our approach.
| Original language | English |
|---|---|
| Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Pages | 426-435 |
| Number of pages | 10 |
| Volume | 5353 LNCS |
| DOIs | |
| Publication status | Published - 2008 |
| Externally published | Yes |
| Event | 9th Pacific Rim Conference on Multimedia, PCM 2008 - Tainan, Taiwan, Province of China Duration: 2008 Dec 9 → 2008 Dec 13 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 5353 LNCS |
| ISSN (Print) | 03029743 |
| ISSN (Electronic) | 16113349 |
Other
| Other | 9th Pacific Rim Conference on Multimedia, PCM 2008 |
|---|---|
| Country | Taiwan, Province of China |
| City | Tainan |
| Period | 08/12/9 → 08/12/13 |
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ASJC Scopus subject areas
- Computer Science(all)
- Theoretical Computer Science
Cite this
Interaction reproducing model : A model for giving supports appropriate to user state. / Aoyama, Hideki; Ozeki, Motoyuki; Nakamura, Yuichi.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5353 LNCS 2008. p. 426-435 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5353 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Interaction reproducing model
T2 - A model for giving supports appropriate to user state
AU - Aoyama, Hideki
AU - Ozeki, Motoyuki
AU - Nakamura, Yuichi
PY - 2008
Y1 - 2008
N2 - This paper presents a novel Interaction Reproducing Model (IRM) for the purpose of adjusting computer user support to match the state of the user, and it consists of a set of Interaction Finite State Machines (I-FSMs). Each I-FSM is trained using actual interaction records, and it represents an ideal interaction pattern for a user state. It can choose an appropriate system action by reproducing the interaction pattern of the I-FSM most similar to the current interaction. We developed a prototype teaching system, and conducted preliminary experiments. The results show that user impressions using our approach were better than when using the system without our approach.
AB - This paper presents a novel Interaction Reproducing Model (IRM) for the purpose of adjusting computer user support to match the state of the user, and it consists of a set of Interaction Finite State Machines (I-FSMs). Each I-FSM is trained using actual interaction records, and it represents an ideal interaction pattern for a user state. It can choose an appropriate system action by reproducing the interaction pattern of the I-FSM most similar to the current interaction. We developed a prototype teaching system, and conducted preliminary experiments. The results show that user impressions using our approach were better than when using the system without our approach.
UR - http://www.scopus.com/inward/record.url?scp=70350650566&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70350650566&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-89796-5_44
DO - 10.1007/978-3-540-89796-5_44
M3 - Conference contribution
AN - SCOPUS:70350650566
SN - 354089795X
SN - 9783540897958
VL - 5353 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 426
EP - 435
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -