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A Computational Model of Trust-, Pupil-, and Motivation Dynamics

Tjøstheim, Trond Arild LU ; Johansson, Birger LU and Balkenius, Christian LU (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:
author
; and
organization
publishing date
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
language
English
LU publication?
yes
id
1f055c2f-ee38-4f35-b4e5-4eec8b1f8958
date added to LUP
2019-09-05 13:53:35
date last changed
2020-12-29 01:45:41
@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},
}