We studied politeness in human-robot interaction based on Lakoff's politeness theory. In a series of eight studies, we manipulated three different levels of politeness of non-humanoid robots and evaluated their effects. A table-setting task was developed for two different types of robots (a robotic manipulator and a mobile robot). The studies included two different populations (old and young adults) and were conducted in two conditions (video and live). Results revealed that polite robot behavior positively affected users' perceptions of the interaction with the robots and that participants were able to differentiate between the designed politeness levels. Participants reported higher levels of enjoyment, satisfaction, and trust when they interacted with the politest behavior of the robot. A smaller number of young adults trusted the politest behavior of the robot compared to old adults. Enjoyment and trust of the interaction with the robot were higher when study participants were subjected to the live condition compared to video and participants were more satisfied when they interacted with a mobile robot compared to a manipulator.
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http://dx.doi.org/10.1007/s12369-022-00911-z | DOI Listing |
Sci Rep
November 2024
Osaka University, Graduate School of Engineering Science, Toyonaka, 5608531, Japan.
This study employs Conversation Analysis to create a recursive model that improves the quality of human-robot interaction. Our research goal is to create a dialogue robot that offers pleasant experiences for users, so they are willing to engage in repeated interactions in daily lives. While there has been dramatic progress in the performance of dialogue robots, there has been less attention to the importance of users' interactional experience compared to the "specs" of the dialogue system.
View Article and Find Full Text PDFFront Robot AI
May 2024
Institute for the Future of Human Society, Kyoto University, Kyoto, Japan.
Despite robots being applied in various situations of modern society, some people avoid them or do not feel comfortable interacting with them. Designs that allow robots to interact appropriately with people will make a positive impression on them resulting in a better evaluation of robots, which will solve this problem. To establish such a design, this study conducted two scenario-based experiments focusing on the politeness of the robot's conversation and behavior, and examined the impressions caused when the robot succeeds or slightly fails at a task.
View Article and Find Full Text PDFFront Robot AI
March 2024
Institute for the Future of Human Society, Kyoto University, Kyoto, Japan.
Robots have tremendous potential, and have recently been introduced not only for simple operations in factories, but also in workplaces where customer service communication is required. However, communication robots have not always been accepted. This study proposes a three-stage (first contact, interaction, and decision) model for robot acceptance based on the human cognitive process flow to design preferred robots and clarifies the elements of the robot and the processes that affect robot acceptance decision-making.
View Article and Find Full Text PDFFront Robot AI
November 2023
Digital Linguistics Lab, Bielefeld University, Bielefeld, Germany.
Interaction with artificial social agents is often designed based on models of human interaction and dialogue. While this is certainly useful for basic interaction mechanisms, it has been argued that social communication strategies and social language use, a "particularly human" ability, may not be appropriate and transferable to interaction with artificial conversational agents. In this paper, we present qualitative research exploring whether users expect artificial agents to use politeness-a fundamental mechanism of social communication-in language-based human-robot interaction.
View Article and Find Full Text PDFInt J Soc Robot
August 2022
Department of Information Systems Engineering, Ben-Gurion University of Negev, Be'er Sheva, Israel.
We studied politeness in human-robot interaction based on Lakoff's politeness theory. In a series of eight studies, we manipulated three different levels of politeness of non-humanoid robots and evaluated their effects. A table-setting task was developed for two different types of robots (a robotic manipulator and a mobile robot).
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