Analysis of dialogue for acquiring personal characteristics toward co-occurrence matching

Gomi, Reona; Suzuki, Aoi; Sato-Shimokawara, Eri; Yamaguchi, Toru

doi:10.1109/taai.2015.7407115

Cited by 6 publications

(2 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In our previous research, we developed a matching system for co-occurrence and mutual assistance [9]. We acquired each participant's personal characteristics such as abilities/disabilities and interests.…”

Section: Matching Between Usersmentioning

confidence: 99%

See 1 more Smart Citation

Analysis of Speech Dialogue to Detect Active Conversation and Lapse in Conversation toward Development of Conversation Support Robot after Co-occurrence and Mutual Assistance Matching

Gomi

Aizawa

Sato-Shimokawara

et al. 2019

Journal of Signal Processing

Self Cite

View full text Add to dashboard Cite

The formation of human relationships is important to form communities. As a supporting system to strengthen the bonding among community members, we firstly tried to connect users by co-occurrence and mutual assistance matching to form relationships. Then, we brought them together. At the time of this experiment, users can easily carry on animated conversations if a common topic is suggested to them. In this study, we utilized a questionnaire to acquire user's personal characteristics for co-occurrence and mutual assistance matching. Next, we conducted a conversation experiment via Skype to investigate activation and inactivation during user's conversations by using speech dialogue and the LF/HF ratio calculated from user's heart rates. During the conversation experiment, matched users made conversations for 10 min on each common topic based on their interests suggested. The result showed that users could easily have animated conversations when a common topic was suggested to them. In addition, we investigated acoustic features, the overlap of utterances, and the number of utterances, backchannel feedbacks, and laughter.

show abstract

Section: Matching Between Usersmentioning

confidence: 99%

“…We used a questionnaire to acquire user's personal characteristics. In our previous research, we adopted two methods including the questionnaire and conversations with a robot [17]. There were no differences between the results of these two methods.…”

Section: Survey Of Personal Characteristicsmentioning

confidence: 99%

Analysis of Speech Dialogue to Detect Active Conversation and Lapse in Conversation toward Development of Conversation Support Robot after Co-occurrence and Mutual Assistance Matching

Gomi

Aizawa

Sato-Shimokawara

et al. 2019

Journal of Signal Processing

Self Cite

View full text Add to dashboard Cite

show abstract

Proposal of a Robot for Conveying Nod of Listeners in a Conversation and Evaluation Using Heart Rate Analysis

Iwasaki

Aizawa

Fen³

et al. 2017

2017 Conference on Technologies and Applications of Artificial Intelligence (TAAI)

View full text Add to dashboard Cite

Community-Centric System – Support of Human Ties –

Sato-Shimokawara¹,

Yamaguchi²

2017

J. Robot. Mechatron.

View full text Add to dashboard Cite

[abstFig src='/00290001/01.jpg' width='300' text='Social robots for community-centric systems' ] Motivated toward the revitalization of local communities, we have started an aggressive study on community support systems. In particular, we have studied a “community-centric system,” in which individual persons are tied to each other in a natural manner. In this paper, based on this community-centric concept, we introduce different robot operating interfaces, dialogue robots, and a telepresence system for generating human ties.

show abstract

Analysis of dialogue for acquiring personal characteristics toward co-occurrence matching

Cited by 6 publications

References 4 publications

Analysis of Speech Dialogue to Detect Active Conversation and Lapse in Conversation toward Development of Conversation Support Robot after Co-occurrence and Mutual Assistance Matching

Analysis of Speech Dialogue to Detect Active Conversation and Lapse in Conversation toward Development of Conversation Support Robot after Co-occurrence and Mutual Assistance Matching

Proposal of a Robot for Conveying Nod of Listeners in a Conversation and Evaluation Using Heart Rate Analysis

Community-Centric System – Support of Human Ties –

Contact Info

Product

Resources

About