Journal article 57 views
A Meta-analysis of Vulnerability and Trust in Human-Robot Interaction
,
Muneeb Ahmad ,
Tafadzwa Maisva ,
Birthe Nesset ,
Katrin Lohan ,
Helen Hastie
ACM Transactions on Human-Robot Interaction
Swansea University Author:
Muneeb Ahmad
-
PDF | Accepted Manuscript
Author accepted manuscript document released under the terms of a Creative Commons CC-BY licence using the Swansea University Research Publications Policy (rights retention).
Download (8.23MB)
DOI (Published version): 10.1145/3658897
Abstract
In human-robot interaction studies, trust is often defined as a process whereby a trustor makes themselves \emph{vulnerable} to a trustee. The role of vulnerability however is often overlooked in this process but could play an important role in the gaining and maintenance of trust between users and...
| Published in: | ACM Transactions on Human-Robot Interaction |
|---|---|
| ISSN: | 2573-9522 |
| Published: |
Association for Computing Machinery (ACM)
2024
|
| Online Access: |
Check full text
|
| URI: | https://cronfa.swan.ac.uk/Record/cronfa65907 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract: |
In human-robot interaction studies, trust is often defined as a process whereby a trustor makes themselves \emph{vulnerable} to a trustee. The role of vulnerability however is often overlooked in this process but could play an important role in the gaining and maintenance of trust between users and robots. To better understand how vulnerability affects human-robot trust, we first reviewed the literature to create a conceptual model of vulnerability with four vulnerability categories. We then performed a meta-analysis, first to check the overall contribution of the variables included on trust. The results showed that overall, the variables investigated in our sample of studies have a positive impact on trust. We then conducted two multilevel moderator analysis to assess the effect of vulnerability on trust, including: 1) An intercept model that considers the relationship between our vulnerability categories; and 2) A non-intercept model that treats each vulnerability category as an independent predictor. Only model 2 was significant, suggesting that to build trust effectively, research should focus on improving robot performance in situations where the users is unsure how reliable the robot will be. As our vulnerability variable is derived from studies of human-robot interaction and human-human studies of risk, we relate our findings to these domains and make suggestions for future research avenues. |
|---|---|
| Keywords: |
vulnerability, trust, risk, human-robot interaction |
| College: |
Faculty of Science and Engineering |
| Funders: |
UKRI, EPSRC (EP/V026682/1, EP/R026173/1) |