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Smart-Pikachu: Extending Interactivity of Stuffed Animals with Large Language Models

Published: 29 October 2023 Publication History
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  • Abstract

    We propose Smart-Pikachu, a stuffed animal equipped with sensing and actuation to explore the use of large language models (LLM’s) with sensor data inputs. The augmentation of pressure sensing will allow for the LLM to interpret various interactions such as hugs and handshakes with the user. Furthermore, the actuation capabilities will extend our system’s interactivity by providing physical feedback to the user. We will also incorporate text-to-speech output from the LLM to add another mode of interaction between the system and user. In this Student Innovation Challenge, we intend to explore applications at the intersection of sensing and interaction through LLM’s and demonstrate an extension of LLMs’ multimodal capabilities.

    References

    [1]
    Mike Binnard and Mark R Cutkosky. 2000. Design by composition for layered manufacturing. J. Mech. Des. 122, 1 (2000), 91–101.
    [2]
    Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott Lundberg, 2023. Sparks of artificial general intelligence: Early experiments with gpt-4. arXiv preprint arXiv:2303.12712 (2023).
    [3]
    Aaron M Dollar and Robert D Howe. 2006. A robust compliant grasper via shape deposition manufacturing. IEEE/ASME transactions on mechatronics 11, 2 (2006), 154–161.
    [4]
    Ali Kiaghadi, Jin Huang, Seyedeh Zohreh Homayounfar, Trisha Andrew, and Deepak Ganesan. 2022. FabToys: plush toys with large arrays of fabric-based pressure sensors to enable fine-grained interaction detection. In Proceedings of the 20th Annual International Conference on Mobile Systems, Applications and Services. 1–13.
    [5]
    Xin Liu, Daniel McDuff, Geza Kovacs, Isaac Galatzer-Levy, Jacob Sunshine, Jiening Zhan, Ming-Zher Poh, Shun Liao, Paolo Di Achille, and Shwetak Patel. 2023. Large Language Models are Few-Shot Health Learners. arXiv preprint arXiv:2305.15525 (2023).
    [6]
    Yue Wu, So Yeon Min, Yonatan Bisk, Ruslan Salakhutdinov, Amos Azaria, Yuanzhi Li, Tom Mitchell, and Shrimai Prabhumoye. 2023. Plan, Eliminate, and Track–Language Models are Good Teachers for Embodied Agents. arXiv preprint arXiv:2305.02412 (2023).

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    1. Smart-Pikachu: Extending Interactivity of Stuffed Animals with Large Language Models

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      cover image ACM Conferences
      UIST '23 Adjunct: Adjunct Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology
      October 2023
      424 pages
      ISBN:9798400700965
      DOI:10.1145/3586182
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Published: 29 October 2023

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      Author Tags

      1. Empathetic Computing
      2. Prompt Design

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