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People’s Perception of Artificial Intelligence Objects-Focusing on People’s Emotional Response to Robot Cleaner Designs

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Advances in Usability, User Experience, Wearable and Assistive Technology (AHFE 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 275))

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Abstract

Robot cleaners have been general artificial intelligence products for nearly two decades, and people’s perspectives have changed in line with this tendency. This study explores the user’s emotional response to robot cleaners by analyzing the results from interviews after watching videos of working robot cleaners. These results suggest that people commonly preferred several factors such as the robot cleaner’s appearance, sound and behavior, and there were slight differences between people who owned a robot cleaner and those who never used one before. These findings have implications for design factors that we claim could be hints to the next artificial intelligence objects.

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Author information

Authors and Affiliations

  1. International Design School for Advanced Studies (IDAS), Hongik University, Seoul, South Korea

    Jungjin Lee

  2. Department of Mechanical and System Design Engineering, Hongik University, Seoul, South Korea

    Dokshin Lim

Authors
  1. Jungjin Lee
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  2. Dokshin Lim
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Correspondence to Dokshin Lim .

Editor information

Editors and Affiliations

  1. Institute for Advanced Systems Engineering, University of Central Florida, Orlando, FL, USA

    Tareq Z. Ahram

  2. Doctorate Researcher in Design, Recife-PE, Brazil

    Christianne S. Falcão

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Lee, J., Lim, D. (2021). People’s Perception of Artificial Intelligence Objects-Focusing on People’s Emotional Response to Robot Cleaner Designs. In: Ahram, T.Z., Falcão, C.S. (eds) Advances in Usability, User Experience, Wearable and Assistive Technology. AHFE 2021. Lecture Notes in Networks and Systems, vol 275. Springer, Cham. https://doi.org/10.1007/978-3-030-80091-8_119

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  • DOI: https://doi.org/10.1007/978-3-030-80091-8_119

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-80090-1

  • Online ISBN: 978-3-030-80091-8

  • eBook Packages: EngineeringEngineering (R0)

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