Heart rate analysis in a conversation on video chat for development of a chat robot supporting to build a relationship

Aizawa, Hidekazu; Iwasaki, Shinya; Gomi, Reona; Sato-Shimokawara, Eri; Yamaguchi, Toru

doi:10.1109/sii.2017.8279310

Cited by 6 publications

(2 citation statements)

References 6 publications

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“…Aizawa et al attempted a different approach, by implementing stress and observing heart rate synchronization through video chat [5]. Thomason et al observed that entrainment on prosodic features correlate with learning gain when students interact with an automatic tutor [6], this conforms to our purpose of using the entrainment phenomenon on robot-human interaction in education.…”

Section: Entrainmentmentioning

confidence: 77%

Observation of Robots with Different Expressions on Education Application Towards Entrainment Robots

Huang

Ishi

Sato-Shimokawara

et al. 2022

J. SOFT

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The purpose of this paper is to observe whether if robot expressions are affecting subjects' stress and physiological status during the exam. This project proposed two kinds of robot expressions in this experiment, robots express themselves differently when subjects answer correctly or incorrectly. Subject heart rate and brainwaves are monitored by sensors during the experiment. The experiment discovered when subjects face hard questions and answered incorrectly, there are different fluctuations in subject stress which in turn is shown by robotic expressions. This proves that robot expressions influence subject stress under different circumstances which in turn can be applied as a feedback mechanism for influencing stress with students, in the future may substitute humans as teachers.

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Section: Entrainmentmentioning

confidence: 77%

Observation of Robots with Different Expressions on Education Application Towards Entrainment Robots

Huang

Ishi

Sato-Shimokawara

et al. 2022

J. SOFT

Self Cite

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“…We utilized the matching method from our previous research [18]. First, a user was selected and was compared with other participants in terms of the ability.…”

Section: Co-occurrence and Mutual Assistance Matchingmentioning

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

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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.

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Analysis of Relation between Brainwave and Heart Rate Information towards Entrainment Robot Assistance

Huang

Ishi

Sato-Shimokawara

et al. 2020

2020 International Symposium on Community-Centric Systems (CcS)

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Heart rate analysis in a conversation on video chat for development of a chat robot supporting to build a relationship

Cited by 6 publications

References 6 publications

Observation of Robots with Different Expressions on Education Application Towards Entrainment Robots

Observation of Robots with Different Expressions on Education Application Towards Entrainment Robots

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 Relation between Brainwave and Heart Rate Information towards Entrainment Robot Assistance

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