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Multimodal Design for Interactive Collaborative Problem-Solving Support

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Human Interface and the Management of Information (HCII 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14689))

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Abstract

When analyzing interactions during collaborative problem solving (CPS) tasks, many different communication modalities are likely to be present and interpretable. These modalities may include speech, gesture, action, affect, pose and object position in physical space, amongst others. As AI becomes more prominent in day-to-day use and various learning environments, such as classrooms, there is potential for it to support additional understanding into how small groups work together to complete CPS tasks. Designing interactive AI to support CPS requires creating a system that supports multiple different modalities. In this paper we discuss the importance of multimodal features to modeling CPS, how different modal channels must interact in a multimodal AI agent that supports a wide range of tasks, and design considerations that require forethought when building such a system that most effectively interacts with and aids small groups in successfully completing CPS tasks. We also outline various tool sets that can be leveraged to support each of the individual features and their integration, and various applications for such a system.

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Notes

  1. 1.

    Participants are conventionally indexed 1–3 from left to right in the video frame.

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Acknowledgments

This work was partially supported by the National Science Foundation under subcontracts to Colorado State University and Brandeis University on award DRL 2019805. The views expressed are those of the authors and do not reflect the official policy or position of the U.S. Government. All errors and mistakes are, of course, the responsibilities of the authors.

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Authors and Affiliations

  1. Colorado State University, Fort Collins, CO, 80523, USA

    Hannah VanderHoeven, Mariah Bradford, Changsoo Jung, Ibrahim Khebour, Nikhil Krishnaswamy & Nathaniel Blanchard

  2. Brandeis University, Waltham, MA, 02453, USA

    Kenneth Lai & James Pustejovsky

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  1. Hannah VanderHoeven
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  1. Tokyo City University, Tokyo, Japan

    Hirohiko Mori

  2. Tokyo University of Science, Tokyo, Japan

    Yumi Asahi

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VanderHoeven, H. et al. (2024). Multimodal Design for Interactive Collaborative Problem-Solving Support. In: Mori, H., Asahi, Y. (eds) Human Interface and the Management of Information. HCII 2024. Lecture Notes in Computer Science, vol 14689. Springer, Cham. https://doi.org/10.1007/978-3-031-60107-1_6

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