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| Main Authors: | , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.10981 |
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| _version_ | 1866916844527419392 |
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| author | Dong, Ze Han, Binyang Zhang, Jingjing Wen, Ruoyu Ens, Barrett Clark, Adrian Piumsomboon, Tham |
| author_facet | Dong, Ze Han, Binyang Zhang, Jingjing Wen, Ruoyu Ens, Barrett Clark, Adrian Piumsomboon, Tham |
| contents | The integration of extended reality (XR) with artificial intelligence (AI) introduces a new paradigm for user interaction, enabling AI to perceive user intent, stimulate the senses, and influence decision-making. We explored the impact of four AI-driven visualisation techniques -- `Inform,' `Nudge,' `Recommend,' and `Instruct' -- on user decision-making in XR using the Meta Quest Pro. To test these techniques, we used a pre-recorded 360-degree video of a supermarket, overlaying each technique through a virtual interface. We aimed to investigate how these different visualisation techniques with different levels of user autonomy impact preferences and decision-making. An exploratory study with semi-structured interviews provided feedback and design recommendations. Our findings emphasise the importance of maintaining user autonomy, enhancing AI transparency to build trust, and considering context in visualisation design. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_10981 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | An Exploratory Study on AI-driven Visualisation Techniques on Decision Making in Extended Reality Dong, Ze Han, Binyang Zhang, Jingjing Wen, Ruoyu Ens, Barrett Clark, Adrian Piumsomboon, Tham Human-Computer Interaction The integration of extended reality (XR) with artificial intelligence (AI) introduces a new paradigm for user interaction, enabling AI to perceive user intent, stimulate the senses, and influence decision-making. We explored the impact of four AI-driven visualisation techniques -- `Inform,' `Nudge,' `Recommend,' and `Instruct' -- on user decision-making in XR using the Meta Quest Pro. To test these techniques, we used a pre-recorded 360-degree video of a supermarket, overlaying each technique through a virtual interface. We aimed to investigate how these different visualisation techniques with different levels of user autonomy impact preferences and decision-making. An exploratory study with semi-structured interviews provided feedback and design recommendations. Our findings emphasise the importance of maintaining user autonomy, enhancing AI transparency to build trust, and considering context in visualisation design. |
| title | An Exploratory Study on AI-driven Visualisation Techniques on Decision Making in Extended Reality |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2507.10981 |