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An Exploratory Study on AI-driven Visualisation Techniques on Decision Making in Extended Reality (2507.10981v1)

Published 15 Jul 2025 in cs.HC

Abstract: The integration of extended reality (XR) with 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,' andInstruct' -- 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.

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