A Computational Model of Trust-, Pupil-, and Motivation Dynamics
(2019) HAI 2019 p.179-185- Abstract
- Autonomous machines are in the near future likely to increasingly interact with humans, and carry out their functions outside controlled settings. Both of these developments increase the requirements of machines to be trustworthy to humans. In this work, we argue that machines may also benefit from being able to explicitly build or withdraw trust with specific humans. The latter is relevant in situations where the integrity of an autonomous system is compromised, or if humans display untrustworthy behaviour towards the system. Examples of systems that could benefit might be delivery robots, maintenance robots, or autonomous taxis. This work contributes by presenting a biologically plausible model of unconditional trust dynamics, which... (More)
- Autonomous machines are in the near future likely to increasingly interact with humans, and carry out their functions outside controlled settings. Both of these developments increase the requirements of machines to be trustworthy to humans. In this work, we argue that machines may also benefit from being able to explicitly build or withdraw trust with specific humans. The latter is relevant in situations where the integrity of an autonomous system is compromised, or if humans display untrustworthy behaviour towards the system. Examples of systems that could benefit might be delivery robots, maintenance robots, or autonomous taxis. This work contributes by presenting a biologically plausible model of unconditional trust dynamics, which simulates trust building based on familiarity, but which can be modulated by painful and gentle touch. The model displays interactive behaviour by being able to realistically control pupil dynamics, as well as determine approach and avoidance motivation. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1f055c2f-ee38-4f35-b4e5-4eec8b1f8958
- author
- Tjøstheim, Trond Arild LU ; Johansson, Birger LU and Balkenius, Christian LU
- organization
- publishing date
- 2019
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Proceedings of the 7th International Conference on Human-Agent Interaction (HAI ’19)
- pages
- 7 pages
- publisher
- Association for Computing Machinery (ACM)
- conference name
- HAI 2019
- conference location
- Kyoto, Japan
- conference dates
- 2019-10-06 - 2019-10-10
- external identifiers
-
- scopus:85077118416
- ISBN
- 978-1-4503-6922-0
- DOI
- 10.1145/3349537.3351896
- project
- Ikaros: An infrastructure for system level modelling of the brain
- Ethics for autonomous systems/AI
- language
- English
- LU publication?
- yes
- id
- 1f055c2f-ee38-4f35-b4e5-4eec8b1f8958
- date added to LUP
- 2019-09-05 13:53:35
- date last changed
- 2023-01-10 16:18:20
@inproceedings{1f055c2f-ee38-4f35-b4e5-4eec8b1f8958, abstract = {{Autonomous machines are in the near future likely to increasingly interact with humans, and carry out their functions outside controlled settings. Both of these developments increase the requirements of machines to be trustworthy to humans. In this work, we argue that machines may also benefit from being able to explicitly build or withdraw trust with specific humans. The latter is relevant in situations where the integrity of an autonomous system is compromised, or if humans display untrustworthy behaviour towards the system. Examples of systems that could benefit might be delivery robots, maintenance robots, or autonomous taxis. This work contributes by presenting a biologically plausible model of unconditional trust dynamics, which simulates trust building based on familiarity, but which can be modulated by painful and gentle touch. The model displays interactive behaviour by being able to realistically control pupil dynamics, as well as determine approach and avoidance motivation.}}, author = {{Tjøstheim, Trond Arild and Johansson, Birger and Balkenius, Christian}}, booktitle = {{Proceedings of the 7th International Conference on Human-Agent Interaction (HAI ’19)}}, isbn = {{978-1-4503-6922-0}}, language = {{eng}}, pages = {{179--185}}, publisher = {{Association for Computing Machinery (ACM)}}, title = {{A Computational Model of Trust-, Pupil-, and Motivation Dynamics}}, url = {{http://dx.doi.org/10.1145/3349537.3351896}}, doi = {{10.1145/3349537.3351896}}, year = {{2019}}, }