Measuring trust with the Wayfinding Task: Implementing a novel task in immersive virtual reality and desktop setups across remote and in-person test environments.
PLoS One
; 18(11): e0294420, 2023.
Article
de En
| MEDLINE
| ID: mdl-38015928
Trust is a key feature of social relationships. Common measures of trust, questionnaires and economic games, lack ecological validity. Hence, we sought to introduce an immersive, virtual reality (VR) measure for the behavioral assessment of trust across remote and in-person settings, building on the maze task of Hale et al. (2018). Our 'Wayfinding Task' consists of an interconnected urban environment for participants to navigate on the advice of two characters of differing trustworthiness. We present four studies implementing the Wayfinding Task in remote and in-person testing environments and comparing performance across head-mounted display (HMD)-based VR and desktop setups. In each study, the trustworthiness of two virtual characters was manipulated, through either a fact sheet providing trustworthiness information, or a behavior-based trustworthiness manipulation task termed the Door Game, based on Van der Biest et al., 2020. Participants then completed the Wayfinding Task. Overall, we found that participant behavior in the Wayfinding Task reflected the relative trustworthiness of the two characters; in particular, the trustworthy character was approached more often for advice, reflecting data from our Door Game. We found mostly null results for our novel outcome measure, interpersonal distance. Remote testing successfully achieved these effects. While HMD-based VR and desktop setups both showed these effects, there was a stronger effect of trustworthiness in the HMD VR version of the task. These results have implications for the measurement of trust in behavioral settings and the use of remote and VR-based testing in social experiments.
Texte intégral:
1
Collection:
01-internacional
Base de données:
MEDLINE
Sujet principal:
Réalité de synthèse
/
Lunettes intelligentes
Limites:
Humans
Langue:
En
Journal:
PLoS One
Sujet du journal:
CIENCIA
/
MEDICINA
Année:
2023
Type de document:
Article
Pays d'affiliation:
Royaume-Uni
Pays de publication:
États-Unis d'Amérique