An elicitation study on multi-modal interactions with immersive data

In the rapidly advancing domain of Extended Reality (XR), technological progress has introduced a broad spectrum of input and interaction methods. This thesis investigates user preferences for interacting with immersive data via a head-mounted display (HMD). We introduce two task types based on the existing task taxonomy in the context of data interaction in an immersive environment. The results of an elicitation study are presented by examining user preferences and measuring interaction agreements based on these two task types. Specifically, the study aims to determine which body-based interactions users naturally prefer when engaging in various tasks to interact with data visualizations. Additionally, it seeks to gain insights into how the distance from immersive data influences users’ experiences and preferred interactions. Our goal is to gather insights to develop guidelines that contribute to designing interactions with immersive data in single-user applications.