Mapping User Trust in Vision Language Models: Research Landscape, Challenges, and Prospects
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866910933070118912 |
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| author | Chiatti, Agnese Bernardini, Sara Piccolo, Lara Shibelski Godoy Schiaffonati, Viola Matteucci, Matteo |
| author_facet | Chiatti, Agnese Bernardini, Sara Piccolo, Lara Shibelski Godoy Schiaffonati, Viola Matteucci, Matteo |
| contents | The rapid adoption of Vision Language Models (VLMs), pre-trained on large image-text and video-text datasets, calls for protecting and informing users about when to trust these systems. This survey reviews studies on trust dynamics in user-VLM interactions, through a multi-disciplinary taxonomy encompassing different cognitive science capabilities, collaboration modes, and agent behaviours. Literature insights and findings from a workshop with prospective VLM users inform preliminary requirements for future VLM trust studies. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_05318 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Mapping User Trust in Vision Language Models: Research Landscape, Challenges, and Prospects Chiatti, Agnese Bernardini, Sara Piccolo, Lara Shibelski Godoy Schiaffonati, Viola Matteucci, Matteo Computer Vision and Pattern Recognition Artificial Intelligence Computers and Society Human-Computer Interaction Robotics The rapid adoption of Vision Language Models (VLMs), pre-trained on large image-text and video-text datasets, calls for protecting and informing users about when to trust these systems. This survey reviews studies on trust dynamics in user-VLM interactions, through a multi-disciplinary taxonomy encompassing different cognitive science capabilities, collaboration modes, and agent behaviours. Literature insights and findings from a workshop with prospective VLM users inform preliminary requirements for future VLM trust studies. |
| title | Mapping User Trust in Vision Language Models: Research Landscape, Challenges, and Prospects |
| topic | Computer Vision and Pattern Recognition Artificial Intelligence Computers and Society Human-Computer Interaction Robotics |
| url | https://arxiv.org/abs/2505.05318 |