TY - GEN
T1 - Attentiveness
T2 - 33rd IEEE International Conference on Robot and Human Interactive Communication, ROMAN 2024
AU - Manor, Adi
AU - Parush, Avi
AU - Erel, Hadas
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024/1/1
Y1 - 2024/1/1
N2 - Affective trust and cognitive trust are fundamental elements in human-robot interactions. They impact robots' acceptance, the level of engagement, and the tendency to rely on robots in various contexts. Opposite effects are observed when the interaction with a robot is unreliable and untrustworthy. In this study, we examined the possibility of enhancing both aspects of trust by manipulating the robot's level of attentiveness to the participant. We focused on robotic attentiveness since it can be easily applied even to highly simple non-humanoid robots, positioning it as a method for enhancing trust for robots with different morphologies. Specifically, we evaluated whether minimal attentive robotic gestures can enhance affective and cognitive aspects of trust and whether inattentive robotic behavior can decrease them. Quantitative and qualitative results indicated that the robot's attentiveness impacted both aspects of trust. Participants in the Attentive Robot condition reported higher affective and cognitive trust scores, smaller interpersonal distance, and a higher number of participants reported that the robot would "be there for them", in comparison to the Inattentive Robot and Baseline conditions. Our findings suggest that an attentive robotic behavior, can support human affective and cognitive trust and enhance human-robot interaction.
AB - Affective trust and cognitive trust are fundamental elements in human-robot interactions. They impact robots' acceptance, the level of engagement, and the tendency to rely on robots in various contexts. Opposite effects are observed when the interaction with a robot is unreliable and untrustworthy. In this study, we examined the possibility of enhancing both aspects of trust by manipulating the robot's level of attentiveness to the participant. We focused on robotic attentiveness since it can be easily applied even to highly simple non-humanoid robots, positioning it as a method for enhancing trust for robots with different morphologies. Specifically, we evaluated whether minimal attentive robotic gestures can enhance affective and cognitive aspects of trust and whether inattentive robotic behavior can decrease them. Quantitative and qualitative results indicated that the robot's attentiveness impacted both aspects of trust. Participants in the Attentive Robot condition reported higher affective and cognitive trust scores, smaller interpersonal distance, and a higher number of participants reported that the robot would "be there for them", in comparison to the Inattentive Robot and Baseline conditions. Our findings suggest that an attentive robotic behavior, can support human affective and cognitive trust and enhance human-robot interaction.
UR - https://www.scopus.com/pages/publications/85209810214
U2 - 10.1109/RO-MAN60168.2024.10731320
DO - 10.1109/RO-MAN60168.2024.10731320
M3 - Conference contribution
AN - SCOPUS:85209810214
T3 - IEEE International Workshop on Robot and Human Communication, RO-MAN
SP - 469
EP - 476
BT - 33rd IEEE International Conference on Robot and Human Interactive Communication, ROMAN 2024
PB - Institute of Electrical and Electronics Engineers
Y2 - 26 August 2024 through 30 August 2024
ER -