Are We Trusting AI Too Much? Examining Human-Robot Interactions in the Real World
Intelligent systems, especially those with an embodied construct, are becoming pervasive in our society. From chatbots to rehabilitation robotics, from shopping agents to robot tutors, people are adopting these systems into their daily life activities. Alas, associated with this increased acceptance...
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| Vydáno v: | 2020 15th ACM/IEEE International Conference on Human-Robot Interaction (HRI) s. 1 |
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| Hlavní autor: | |
| Médium: | Konferenční příspěvek |
| Jazyk: | angličtina |
| Vydáno: |
New York, NY, USA
ACM
09.03.2020
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| Edice: | ACM Conferences |
| Témata: |
Computing methodologies
> Artificial intelligence
> Distributed artificial intelligence
> Cooperation and coordination
Computing methodologies
> Artificial intelligence
> Distributed artificial intelligence
> Intelligent agents
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| ISBN: | 1450367461, 9781450367462 |
| ISSN: | 2167-2148 |
| On-line přístup: | Získat plný text |
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| Shrnutí: | Intelligent systems, especially those with an embodied construct, are becoming pervasive in our society. From chatbots to rehabilitation robotics, from shopping agents to robot tutors, people are adopting these systems into their daily life activities. Alas, associated with this increased acceptance is a concern with the ethical ramifications as we start becoming more dependent on these devices [1]. Studies, including our own, suggest that people tend to trust, in some cases overtrusting, the decision-making capabilities of these systems [2]. For high-risk activities, such as in healthcare, when human judgment should still have priority at times, this propensity to overtrust becomes troubling [3]. Methods should thus be designed to examine when overtrust can occur, modelling the behavior for future scenarios and, if possible, introduce system behaviors in order to mitigate. In this talk, we will discuss a number of human-robot interaction studies conducted where we examined this phenomenon of overtrust, including healthcare-related scenarios with vulnerable populations, specifically children with disabilities. |
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| ISBN: | 1450367461 9781450367462 |
| ISSN: | 2167-2148 |
| DOI: | 10.1145/3319502.3374842 |

