Ashwini G Naik
Andrew E Johnson
ABSTRACT
Applications in immersive environments have gained popularity for training, learning, and recreational tasks. Due to the increasing availability of sensors and data-capturing devices, research is extending the use of immersive environments to support visual analytics processes, including sensemaking and strategic immersion for interaction and task completion. In this work, we propose Personal Situated Analytics (PSA) framework to embed users into recorded meetings with support for multiple degrees of immersion in the Reality-Virtuality spectrum. Our proposed framework encompasses various stages such as tracking, data capturing, data cleaning, data synchronization, prototype building, and deploying the final product to end-user hardware. We evaluate this framework on a data analysis scenario between human subjects and a conversational AI agent. Our pilot study (n=12) using this framework compares user experiences when using two different devices: Hololens2 and Quest2.
- Roderick Tabalba, Nurit Kirshenbaum, Jason Leigh, Abari Bhatacharya, Andrew Johnson, Veronica Grosso, Barbara Di Eugenio, and Moira Zellner. 2022. Articulate+: An Always-Listening Natural Language Interface for Creating Data Visualizations. In Proc. Conf. Conversational User Interfaces. 1–6.Google Scholar
Digital Library
- Roderick S Tabalba, Nurit Kirshenbaum, Jason Leigh, 2023. An Investigation into an Always Listening Interface to Support Data Exploration. In Proc. Int. Conf. Intell. User Interfaces. 128–141.Google ScholarDigital Library
- Bruce H Thomas, Gregory F Welch, Pierre Dragicevic, 2018. Situated Analytics.Immersive analytics 11190 (2018), 185–220.Google Scholar
Index Terms
- Using Personal Situated Analytics (PSA) to Interpret Recorded Meetings
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