Make Interaction Situated: Designing User Acceptable Interaction for Situated Visualization in Public Environments
Qian Zhu, Zhuo Wang, Wei Zeng, Wai Tong, Weiyue Lin, Xiaojuan Ma
TL;DR
This work addresses the challenge of making situated visualization in public environments socially acceptable and practically usable. It combines a formative study, iterative design exploring eye-, hand-, and spatially-based interactions, and an AR prototype evaluated in real-world-like public scenarios, showing that multimodal, subtle interactions are preferred over conventional hand-based methods. The study provides design recommendations on data triggering, overview/detail interactions, and the role of environmental context, ultimately demonstrating improved user acceptance and perceived usefulness in public settings. The findings advance the deployment of situated analytics by aligning interaction design with social context, task needs, and device limitations, enabling more usable in-situ data reasoning in everyday environments.
Abstract
Situated visualization blends data into the real world to fulfill individuals' contextual information needs. However, interacting with situated visualization in public environments faces challenges posed by user acceptance and contextual constraints. To explore appropriate interaction design, we first conduct a formative study to identify user needs for data and interaction. Informed by the findings, we summarize appropriate interaction modalities with eye-based, hand-based and spatially-aware object interaction for situated visualization in public environments. Then, through an iterative design process with six users, we explore and implement interactive techniques for activating and analyzing with situated visualization. To assess the effectiveness and acceptance of these interactions, we integrate them into an AR prototype and conduct a within-subjects study in public scenarios using conventional hand-only interactions as the baseline. The results show that participants preferred our prototype over the baseline, attributing their preference to the interactions being more acceptable, flexible, and practical in public.
