Abstract
This paper investigates human trust in artificial intelligence (AI) during human-AI collaboration on a speech-based data analytics task. Human users worked together with an explainable AI algorithm that took as an input acoustic and linguistic measures for the detection of deceptive speech. The working performance of the AI was manipulated resulting in a high performing (HP) AI and a low performing (LP) AI. Trust was measured via self-reported and behavioral measures, which were associated with each other. Various personality characteristics, including openness, neuroticism, and extroversion, moderated one's trust in the AI, but results were mixed in terms of the considered self-reported and behavioral trust metrics.
| Original language | English |
|---|---|
| Title of host publication | 2023 11th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2023 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798350327458 |
| DOIs | |
| State | Published - 2023 |
| Externally published | Yes |
| Event | 11th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2023 - Cambridge, United States Duration: 10 Sep 2023 → 13 Sep 2023 |
Publication series
| Name | 2023 11th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2023 |
|---|
Conference
| Conference | 11th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2023 |
|---|---|
| Country/Territory | United States |
| City | Cambridge |
| Period | 10/09/23 → 13/09/23 |
Bibliographical note
Publisher Copyright:© 2023 IEEE.
Keywords
- Human-AI collaboration
- deceptive speech
- trust
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