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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/2408.04778 |
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| _version_ | 1866910560990265344 |
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| author | Li, Zhaoxin Yang, Sophie Wang, Shijie |
| author_facet | Li, Zhaoxin Yang, Sophie Wang, Shijie |
| contents | Tailoring XAI methods to individual needs is crucial for intuitive Human-AI interactions. While context and task goals are vital, factors like user personality traits could also influence method selection. Our study investigates using personality traits to predict user preferences among decision trees, texts, and factor graphs. We trained a Machine Learning model on responses to the Big Five personality test to predict preferences. Deploying these predicted preferences in a navigation game (n=6), we found users more receptive to personalized XAI recommendations, enhancing trust in the system. This underscores the significance of customization in XAI interfaces, impacting user engagement and confidence. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_04778 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Exploring Personality-Driven Personalization in XAI: Enhancing User Trust in Gameplay Li, Zhaoxin Yang, Sophie Wang, Shijie Human-Computer Interaction Robotics Tailoring XAI methods to individual needs is crucial for intuitive Human-AI interactions. While context and task goals are vital, factors like user personality traits could also influence method selection. Our study investigates using personality traits to predict user preferences among decision trees, texts, and factor graphs. We trained a Machine Learning model on responses to the Big Five personality test to predict preferences. Deploying these predicted preferences in a navigation game (n=6), we found users more receptive to personalized XAI recommendations, enhancing trust in the system. This underscores the significance of customization in XAI interfaces, impacting user engagement and confidence. |
| title | Exploring Personality-Driven Personalization in XAI: Enhancing User Trust in Gameplay |
| topic | Human-Computer Interaction Robotics |
| url | https://arxiv.org/abs/2408.04778 |