Facilitating decision-making with multimodal interfaces in collaborative analytical sessions
Fındık, Yasin and Boz, Hasan Alp and Balcısoy, Selim (2021) Facilitating decision-making with multimodal interfaces in collaborative analytical sessions. In: Thalmann, Nadia Magnenat and Zhang, Jian Jun and Ramanathan, Manoj and Thalmann, Daniel, (eds.) Intelligent Scene Modeling and Human-Computer Interaction. Human–Computer Interaction Series. Springer, Switzerland, pp. 199-220. ISBN 978-3-030-71004-0 (Print) 978-3-030-71002-6 (Online)
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Official URL: http://dx.doi.org/10.1007/978-3-030-71002-6_12
In collaborative visual analytics sessions, participants analyze data and cooperate toward a shared vision. These decision-making processes are challenging and time-consuming. In this chapter, we introduce a system for facilitating decision-making in exploratory and collaborative visual analytics sessions. Our system comprises an assistant analytical agent, a multi-display wall and a framework for interactive visual analytics. The assistant agent understands participants’ ongoing conversations and exhibits information about the data on displays. The displays are also used to manifest the current state of the session. In addition, the agent answers the participants’ questions either regarding the data or open-domain ones, and preserves the productivity and the efficiency of the session by confirming that the participants do not deviate from the session’s goal. Whereas, our visual analytics medium makes data tangible, hence more comprehensible and natural to operate with. The results of our qualitative study indicate that the proposed system fosters productive multi-user decision-making processes.
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