Jones, Charlotte, Reed, Darren James orcid.org/0000-0001-9018-0145 and Camara, Fanta (2024) Who Is The Chameleon? A party game to explore trust and biases towards Alexa, Pepper and ChatGPT. In: Huda, M. Nazmul, Wang, Mingfeng and Kalganova, Tatiana, (eds.) Towards Autonomous Robotic Systems - 25th Annual Conference, TAROS 2024, Proceedings. 25th Annual Conference on Towards Autonomous Robotic Systems, TAROS 2024, 21-23 Aug 2024 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer, GBR, pp. 182-193.
Abstract
With the increasing adoption of robotic and AI systems in our daily activities, understanding how people interact with and trust these systems or may have biases towards them is becoming important for their development and safety. This paper investigates people’s level of trust and potential biases towards three robotic systems i.e. an Alexa device, robot Pepper and ChatGPT using “The Chameleon” game. In this experiment, the same words were presented to two of groups of participants, the first group played the game through an online form and the second group played the game in person with Alexa, Pepper and ChatGPT in a lab space. The game consisted in spotting the player who is the chameleon i.e. pretending to know a target word that only the other players are supposed to know. The results showed that both the online and in-person participants had similar levels of spotting the chameleon. However, participants were less able to spot Pepper when it was the chameleon, suggesting that they trusted Pepper a bit more than Alexa and ChatGPT.
Metadata
| Item Type: | Proceedings Paper |
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| Authors/Creators: |
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| Editors: |
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| Copyright, Publisher and Additional Information: | This is an author-produced version of the published paper. Uploaded in accordance with the University’s Research Publications and Open Access policy. |
| Keywords: | Human-Robot Interaction,Trust,Bias,Robotics,Artificial Intelligence,Alexa,Pepper,ChatGPT |
| Dates: |
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| Institution: | The University of York |
| Academic Units: | The University of York > Faculty of Social Sciences (York) > Sociology (York) |
| Date Deposited: | 30 Oct 2024 12:50 |
| Last Modified: | 25 Feb 2026 17:00 |
| Published Version: | https://doi.org/10.1007/978-3-031-72059-8_16 |
| Status: | Published |
| Publisher: | Springer |
| Series Name: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Identification Number: | 10.1007/978-3-031-72059-8_16 |
| Related URLs: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:219073 |
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