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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2408.10905 |
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| _version_ | 1866912480033243136 |
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| author | Dorsch, John Deroy, Ophelia |
| author_facet | Dorsch, John Deroy, Ophelia |
| contents | This study explores whether labeling AI as "trustworthy" or "reliable" influences user perceptions and acceptance of automotive AI technologies. Using a one-way between-subjects design, the research involved 478 online participants who were presented with guidelines for either trustworthy or reliable AI. Participants then evaluated three vignette scenarios and completed a modified version of the Technology Acceptance Model, which included variables such as perceived ease of use, human-like trust, and overall attitude. Although labeling AI as "trustworthy" did not significantly influence judgments on specific scenarios, it increased perceived ease of use and human-like trust, particularly benevolence. This suggests a positive impact on usability and an anthropomorphic effect on user perceptions. The study provides insights into how specific labels can influence attitudes toward AI technology. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_10905 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | The impact of labeling automotive AI as "trustworthy" or "reliable" on user evaluation and technology acceptance Dorsch, John Deroy, Ophelia Human-Computer Interaction Artificial Intelligence Emerging Technologies K.4.1; H.5.2; H.4.2; J.7; J.4 This study explores whether labeling AI as "trustworthy" or "reliable" influences user perceptions and acceptance of automotive AI technologies. Using a one-way between-subjects design, the research involved 478 online participants who were presented with guidelines for either trustworthy or reliable AI. Participants then evaluated three vignette scenarios and completed a modified version of the Technology Acceptance Model, which included variables such as perceived ease of use, human-like trust, and overall attitude. Although labeling AI as "trustworthy" did not significantly influence judgments on specific scenarios, it increased perceived ease of use and human-like trust, particularly benevolence. This suggests a positive impact on usability and an anthropomorphic effect on user perceptions. The study provides insights into how specific labels can influence attitudes toward AI technology. |
| title | The impact of labeling automotive AI as "trustworthy" or "reliable" on user evaluation and technology acceptance |
| topic | Human-Computer Interaction Artificial Intelligence Emerging Technologies K.4.1; H.5.2; H.4.2; J.7; J.4 |
| url | https://arxiv.org/abs/2408.10905 |