Samenvatting
With the increasing adoption of Artificial intelligence (AI) as a crucial component of business strategy, establishing trust between humans and AI teammates remains a
key issue. The project “We are in this together” highlights current theories on trust in Human-AI teams (HAIT) and proposes a research model that integrates insights
from Industrial and Organizational Psychology, Human Factors Engineering, Human-Computer Interaction, and Computer Science. The proposed model suggests
that in HAIT, trust involves multiple actors and is critical for team success. We present three main propositions for understanding trust in HAIT collaboration,
focused on trustworthiness and trustworthiness reactions in interpersonal relationships between humans and AI teammates. We further suggest that
individual, technological, and environmental factors impact trust relationships in HAIT. The project aims to contribute in developing effective HAIT by proposing a
research model of trust in HAIT
key issue. The project “We are in this together” highlights current theories on trust in Human-AI teams (HAIT) and proposes a research model that integrates insights
from Industrial and Organizational Psychology, Human Factors Engineering, Human-Computer Interaction, and Computer Science. The proposed model suggests
that in HAIT, trust involves multiple actors and is critical for team success. We present three main propositions for understanding trust in HAIT collaboration,
focused on trustworthiness and trustworthiness reactions in interpersonal relationships between humans and AI teammates. We further suggest that
individual, technological, and environmental factors impact trust relationships in HAIT. The project aims to contribute in developing effective HAIT by proposing a
research model of trust in HAIT
| Originele taal-2 | Engels |
|---|---|
| Titel | Proceedings of the Workshops at the Second International Conference on Hybrid Human-Artificial Intelligence co-located with (HHAI 2023) |
| Redacteuren | Pradeep K. Murukannaiah, Teresa Hirzle |
| Uitgeverij | CEUR-WS.org |
| Pagina's | 169-174 |
| Aantal pagina's | 6 |
| Status | Gepubliceerd - 2023 |
| Evenement | HHAI-WS 2023 : Workshops at the second International Conference on Hybrid Human-Artificial Intelligence (HHAI 2023) - Munich, Duitsland Duur: 26 jun. 2023 → 27 jun. 2023 Congresnummer: HHAI-WS 2023 |
Publicatie series
| Naam | Ceur Workshop Proceedings |
|---|---|
| Volume | 3456 |
| ISSN van geprinte versie | 1613-0073 |
Congres
| Congres | HHAI-WS 2023 |
|---|---|
| Land/Regio | Duitsland |
| Stad | Munich |
| Periode | 26/06/23 → 27/06/23 |
Vingerafdruk
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