Abstract
Many social robots have emerged in public places to serve people. For these services, the robots are assumed to be able to present internal aspects (i.e., mind, sociability) to engage and interact with people over the long term. In this paper, we propose a novel dialogue structure called experience-based dialogue to help a robot present and maintain a good interaction over the long term. This dialogue structure contains a piece of knowledge and a story about how the robot gained this knowledge, which are used to compose the robot’s experience-related utterances for sharing experiences of interacting with previous users other than just the current user and help it present its internal aspects. We conducted an experiment to test the effects of our proposed dialogue structure and measure them with some published subjective scales. The results showed that experience-based dialogue can help a robot obtain better evaluations in terms of perceived intelligence, sociability, mind, anthropomorphism, animacy, likability, level of acceptance, and positive user reaction.
Highlights
Nowadays, more social robots are serving people in nursing homes [1], schools [2], shops [3], restaurants [4], information desks [5], etc
Many researchers have confirmed that presenting a robot’s internal aspects such as sociability [6,7,8], a mind [9,10,11,12,13,14,15], perceived intelligence [5,16], likability [17], animacy [18] as well as anthropomorphic aspects [19] are important for maintaining human–robot interaction
Our proposed method significantly improved the robot’s level of acceptance, anthropomorphism, animacy, likability, perceived intelligence, agency, positive experience, negative experience, and sociability compared to the None condition
Summary
More social robots are serving people in nursing homes [1], schools [2], shops [3], restaurants [4], information desks [5], etc. For these services, people and robots are assumed to interact over the long term. The previous studies [1,2,3,4,5,20] have two shortcomings They did not present a general way of making dialogue to present a robot’s experiences: in other words, a dialogue structure. We suspect that robots should mention past experiences of interactions with the current user and others, the effects of mentioning such experiences have not been investigated and are still unclear
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
