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Designing Robots with the Context in Mind- One Design Does Not Fit All

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Human-Friendly Robotics 2022 (HFR 2022)

Part of the book series: Springer Proceedings in Advanced Robotics ((SPAR,volume 26))

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Abstract

Robots’ visual qualities (VQs) impact people’s perception of their characteristics and affect users’ behaviors and attitudes toward the robot. Recent years point toward a growing need for Socially Assistive Robots (SARs) in various contexts and functions, interacting with various users. Since SAR types have functional differences, the user experience must vary by the context of use, functionality, user characteristics, and environmental conditions. Still, SAR manufacturers often design and deploy the same robotic embodiment for diverse contexts. We argue that the visual design of SARs requires a more scientific approach considering their multiple evolving roles in future society. In this work, we define four contextual layers: the domain in which the SAR exists, the physical environment, its intended users, and the robot’s role. Via an online questionnaire, we collected potential users’ expectations regarding the desired characteristics and visual qualities of four different SARs: a service robot for an assisted living/retirement residence facility, a medical assistant robot for a hospital environment, a COVID-19 officer robot, and a personal assistant robot for domestic use. Results indicated that users’ expectations differ regarding the robot’s desired characteristics and the anticipated visual qualities for each context and use case.

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Acknowledgment

This research was supported by the Ministry of Innovation, Science and Technology, Israel (grant 3-15625), and by the Ben-Gurion University of the Negev through the Helmsley Charitable Trust, the Agricultural, Biological and Cognitive Robotics Initiative, the W. Gunther Plaut Chair in Manufacturing Engineering and by the George Shrut Chair in Human Performance Management.

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Authors and Affiliations

  1. Ben-Gurion University of the Negev, Beer-Sheva, Israel

    Ela Liberman-Pincu & Tal Oron-Gilad

  2. Delft University of Technology, Delft, The Netherlands

    Elmer D. van Grondelle

Authors
  1. Ela Liberman-Pincu
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  2. Elmer D. van Grondelle
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  3. Tal Oron-Gilad
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Corresponding author

Correspondence to Ela Liberman-Pincu .

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Editors and Affiliations

  1. Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology, Delft, The Netherlands

    Pablo Borja

  2. Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology, Delft, The Netherlands

    Cosimo Della Santina

  3. Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology, Delft, The Netherlands

    Luka Peternel

  4. Department of Mechanical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands

    Elena Torta

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Liberman-Pincu, E., van Grondelle, E.D., Oron-Gilad, T. (2023). Designing Robots with the Context in Mind- One Design Does Not Fit All. In: Borja, P., Della Santina, C., Peternel, L., Torta, E. (eds) Human-Friendly Robotics 2022. HFR 2022. Springer Proceedings in Advanced Robotics, vol 26. Springer, Cham. https://doi.org/10.1007/978-3-031-22731-8_8

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