Reciprocity in Human-Robot Interaction: A Quantitative Approach Through the Prisoner’s Dilemma and the Ultimatum Game (2016)

View/ Open
Type of Content
Journal ArticlePublisher
SPRINGERISSN
1875-47911875-4805
Language
EnglishCollections
Abstract
Reciprocity is an important factor in human–human interaction, so it can be expected that it should also play a major role in human–robot interaction (HRI). Participants in our study played the Repeated Prisoner’s Dilemma Game (RPDG) and the mini Ultimatum Game (mUG) with robot and human agents, with the agents using either Tit for Tat (TfT) or Random strategies. As part of the study we also measured the perceived personality traits in the agents using the TIPI test after every round of RPDG and mUG. The results show that the participants collaborated more with humans than with a robot, however they tended to be equally reciprocal with both agents. The experiment also showed the TfT strategy as the most profitable strategy; affecting collaboration, reciprocation, profit and joint profit in the game. Most of the participants tended to be fairer with the human agent in mUG. Furthermore, robots were perceived as less open and agreeable than humans. Consciousness, extroversion and emotional stability were perceived roughly the same in humans and robots. TfT strategy became associated with an extroverted and agreeable personality in the agents. We could observe that the norm of reciprocity applied in HRI has potential implications for robot design.
Citation
Sandoval EB, Brandstetter J, Obaid M, Bartneck C (2016). Reciprocity in Human-Robot Interaction: A Quantitative Approach Through the Prisoner’s Dilemma and the Ultimatum Game. International Journal of Social Robotics. 8(2). 303-317.This citation is automatically generated and may be unreliable. Use as a guide only.
Keywords
Science & Technology; Technology; Robotics; Human-robot interaction; Reciprocity; Game theory; Prisoner's Dilemma; Ultimatum Game; Cooperation; RATIONAL COOPERATION; EFFECTIVE CHOICE; SOCIAL DILEMMAS; PERSONALITY; BEHAVIOR; AGENTS; NORMANZSRC Fields of Research
08 - Information and Computing Sciences::0801 - Artificial Intelligence and Image Processing::080101 - Adaptive Agents and Intelligent Robotics08 - Information and Computing Sciences::0806 - Information Systems::080602 - Computer-Human Interaction
Rights
All rights reserved unless otherwise statedThis is a post-peer-review, pre-copyedit version of an article published in International Journal of Social Robotics. The final authenticated version is available online at: https://doi.org/10.1007/s12369-015-0323-x
Related items
Showing items related by title, author, creator and subject.
-
The interactive effects of robot anthropomorphism and robot ability on perceived threat and support for robotics research
Yogeeswaran K; Złotowski J; Livingstone M; Bartneck, Christoph; Sumioka H; Ishiguro H (Journal of Human-Robot Interaction, 2016)The present research examines how a robot’s physical anthropomorphism interacts with perceived ability of robots to impact the level of realistic and identity threat that people perceive from robots and how it affects ... -
Robot Likeability and Reciprocity in Human Robot Interaction: Using Ultimatum Game to determinate Reciprocal Likeable Robot Strategies
Sandoval EB; Brandstatter J; Yalcin U; Bartneck, Christoph (Springer Science and Business Media LLC, 2021) -
On the creation of standards for interaction between robots and virtual worlds
Juarez A; Bartneck, Christoph; Feijs L (Virtual Worlds Institute, Inc., 2009)Research on virtual worlds and environments has increased tremendously in the last decade, giving birth to a variety of applications spanning over several areas such as virtual reality, human-computer interaction, psychology ...