TY - GEN
T1 - Dialogue breakdown and confusion between elements and category
AU - Matsui, Tetsuya
AU - Tani, Iori
AU - Sasai, Kazuto
AU - Gunji, Yukio Pegio
N1 - Funding Information:
This research was partially supported by JSPS KAKENHI “Communicative intelligent systems towards a human-machine symbiotic society" (No. 20H05571).
Publisher Copyright:
© 2021 ACM.
PY - 2021/3/8
Y1 - 2021/3/8
N2 - Avoiding dialogue breakdown is important in HRI and HAI. In this paper, we investigated why dialogue breakdown occurs. We hypothesize that confusion between elements and category is one important reason. Elements means individual strange utterances, and category means the entire ability and performance of a robot. We hypothesized that a user who confuses elements and category will tend to lose the motivation to continue interacting with a robot or agent when the robot or agent makes a strange utterance. To verify this hypothesis, we conducted an experiment. We asked participants to perform a memory task cited in a previous work. We separated them into two groups, the no-confusion group and confusion group, and we showed them a movie in which a robot made a mistake on a math problem. After that, we asked them in a questionnaire about their impression of the robot. We conducted a t-test between the two groups for each question. As a result, the participants who confused elements and category tended to brand the robot as having low ability and performance when it made a mistake, and those who were not confused did not have reduced trustworthiness in the robot or reduced motivation for continuing to interact when the robot made a mistake. These results supports our hypothesis.
AB - Avoiding dialogue breakdown is important in HRI and HAI. In this paper, we investigated why dialogue breakdown occurs. We hypothesize that confusion between elements and category is one important reason. Elements means individual strange utterances, and category means the entire ability and performance of a robot. We hypothesized that a user who confuses elements and category will tend to lose the motivation to continue interacting with a robot or agent when the robot or agent makes a strange utterance. To verify this hypothesis, we conducted an experiment. We asked participants to perform a memory task cited in a previous work. We separated them into two groups, the no-confusion group and confusion group, and we showed them a movie in which a robot made a mistake on a math problem. After that, we asked them in a questionnaire about their impression of the robot. We conducted a t-test between the two groups for each question. As a result, the participants who confused elements and category tended to brand the robot as having low ability and performance when it made a mistake, and those who were not confused did not have reduced trustworthiness in the robot or reduced motivation for continuing to interact when the robot made a mistake. These results supports our hypothesis.
KW - Confusion
KW - Dialogue breakdown
KW - Human-agent interaction
KW - Human-robot interaction
KW - Memory
KW - Trustworthiness
UR - http://www.scopus.com/inward/record.url?scp=85102738629&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85102738629&partnerID=8YFLogxK
U2 - 10.1145/3434074.3447175
DO - 10.1145/3434074.3447175
M3 - Conference contribution
AN - SCOPUS:85102738629
T3 - ACM/IEEE International Conference on Human-Robot Interaction
SP - 276
EP - 279
BT - HRI 2021 - Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction
PB - IEEE Computer Society
T2 - 2021 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2021
Y2 - 8 March 2021 through 11 March 2021
ER -