short-paper

'Food' for Human Robot Interaction

Authors:

Selma ŠabanovicAuthors Info & Claims

HRI '21 Companion: Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction

Pages 131 - 135

https://doi.org/10.1145/3434074.3447144

Published: 08 March 2021 Publication History

Abstract

'Food', when mentioned in Human-Robot Interaction (HRI) research, is most often in the context of functional applications of automation, delivery, and assistance. Food has, however, not been explored as a medium for social expression or building relationships with social robots. Using web-based examples of robot food and our pilot collection of LOVOT and AIBO robot user's Tweets about their practices of feeding their robots, we show how food has the potential to sustain interactions, increase enjoyment, sociability and companionship in HRI, enhance life-likeness, autonomy, and agency for robots, and open up opportunities for community building among robot users. We present design implications of food for HRI, and urge HRI researchers to envision food as a facet of Human-Robot relationships and <--Human-Food-Robot--> interaction as a celebratory, provocative, and promising domain for HRI and social robot design.

References

[1]

Alan Beardsworth and Teresa Keil. 2002. Sociology on the menu: An invitation to the study of food and society. Routledge.

[2]

David Bell, Gill Valentine, et al. 1997. Consuming geographies: We are where we eat. Psychology Press.

[3]

Tapomayukh Bhattacharjee, Ethan K Gordon, Rosario Scalise, Maria E Cabrera, Anat Caspi, Maya Cakmak, and Siddhartha S Srinivasa. 2020. Is More Autonomy Always Better? Exploring Preferences of Users with Mobility Impairments in Robot-assisted Feeding. In Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction. 181--190.

Digital Library

[4]

Guido Bugmann and Simon N Copleston. 2011. What can a personal robot do for you?. In Conference Towards Autonomous Robotic Systems. Springer, 360--371.

[5]

Robert L Cahlander, David W Carroll, Robert A Hanson, Al Hollingsworth, and John O Reinertsen. 1990. Food preparation robot. US Patent 4,922,435.

[6]

Innvo Labs Corporation. 2012. Leisure Food Series (Cycad leaf/Sugar cane/Chunk of ice). https://www.pleoworld.com/pleo_rb/eng/product.php?&c1id=2&id=5

[7]

Innvo Labs Corporation. 2012. Mint Leaf. https://www.pleoworld.com/pleo_rb/eng/product.php?&c1id=2&id=26

[8]

Innvo Labs Corporation. 2012. PLEOworld. www.pleoworld.com

[9]

Sony Corporation. 2020. https://us.aibo.com/

[10]

Arturo Cruz-Maya and Adriana Tapus. 2016. Teaching nutrition and healthy eating by using multimedia with a Kompai robot: Effects of stress and user's personality. In 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids). IEEE, 644--649.

Digital Library

[11]

Laurette Dubé, Jordan L LeBel, and Ji Lu. 2005. Affect asymmetry and comfort food consumption. Physiology & behavior 86, 4 (2005), 559--567.

[12]

Catharine Evers, F Marijn Stok, and Denise TD de Ridder. 2010. Feeding your feelings: Emotion regulation strategies and emotional eating. Personality and Social Psychology Bulletin 36, 6 (2010), 792--804.

[13]

Batya Friedman, Peter H Kahn Jr, and Jennifer Hagman. 2003. Hardware companions? What online AIBO discussion forums reveal about the human-robotic relationship. In Proceedings of the SIGCHI conference on Human factors in computing systems. 273--280.

[14]

Joe Jeff Goldblatt et al. 1990. Special events: the art and science of celebration. Van Nostrand Reinhold.

[15]

Andrea Grimes and Richard Harper. 2008. Celebratory technology: newdirections for food research in HCI. In Proceedings of the SIGCHI conference on human factors in computing systems. 467--476.

Digital Library

[16]

Myrte Esther Hamburg, Catrin Finkenauer, and Carlo Schuengel. 2014. Food for love: the role of food offering in empathic emotion regulation. Frontiers in psychology 5 (2014), 32.

[17]

Jamshed Iqbal, Zeashan Hameed Khan, and Azfar Khalid. 2017. Prospects of robotics in food industry. Food Science and Technology 37, 2 (2017), 159--165.

[18]

Min Kyung Lee, Jodi Forlizzi, Paul E Rybski, Frederick Crabbe, Wayne Chung, Josh Finkle, Eric Glaser, and Sara Kiesler. 2009. The snackbot: documenting the design of a robot for long-term human-robot interaction. In Proceedings of the 4th ACM/IEEE international conference on Human robot interaction. 7--14.

Digital Library

[19]

Iolanda Leite, Carlos Martinho, and Ana Paiva. 2013. Social robots for long-term interaction: a survey. International Journal of Social Robotics 5, 2 (2013), 291--308.

[20]

Deborah Lupton. 1994. Food, memory and meaning: the symbolic and social nature of food events. The Sociological Review 42, 4 (1994), 664--685.

[21]

Deborah Lupton. 1996. Food, the Body and the Self. Sage.

[22]

Sam Nussey. 2020. SoftBank brings food service robot to labour-strapped Japan. https://www.reuters.com/article/softbank-group-robotics-idUSKBN26J0GC

[23]

Oskar Palinko, Kerstin Fischer, Eduardo Ruiz Ramirez, Lotte Damsgaard Nissen, and RosalynMLangedijk. 2020. A Drink-Serving Mobile Social Robot Selects who to Interact with Using Gaze. In Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction. 384--385.

Digital Library

[24]

Daehyung Park, Yuuna Hoshi, and Charles C Kemp. 2018. A multimodal anomaly detector for robot-assisted feeding using an lstm-based variational autoencoder. IEEE Robotics and Automation Letters 3, 3 (2018), 1544--1551.

[25]

Natasha Randall, Swapna Joshi, and Xiaohang Liu. 2018. Health-e-eater: dinnertime companion robot and magic plate for improving eating habits in children from low-income families. In Companion of the 2018 ACM/IEEE international conference on human-robot interaction. 361--362.

Digital Library

[26]

Natasha Randall, Swapna Joshi, and Xiaohang Liu. 2018. Health-e-Eater: Dinnertime Companion Robot and Magic Plate for Improving Eating Habits in Children from Low-Income Families. In Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction (Chicago, IL, USA) (HRI '18). Association for Computing Machinery, New York, NY, USA, 361--362. https://doi.org/10.1145/3173386.3177828

Digital Library

[27]

IEEE Spectrum. 2019. Starship. https://robots.ieee.org/robots/starship/

[28]

Jordan D Troisi and Shira Gabriel. 2011. Chicken Soup Really Is Good for the Soul: ?Comfort Food" Fulfills the Need to Belong. Psychological science 22, 6 (2011), 747--753.

[29]

Akira Yamazaki and Ryosuke Masuda. 2012. Autonomous foods handling by chopsticks for meal assistant robot. In ROBOTIK 2012; 7th German Conference on Robotics. VDE, 1--6.

Cited By

Okafuji YIshikawa TMatsumura KBaba JNakanishi J(2024)Pseudo-eating behavior of service robot to improve the trustworthiness of product recommendationsAdvanced Robotics10.1080/01691864.2024.232119138:5(343-356)Online publication date: 5-Mar-2024
https://doi.org/10.1080/01691864.2024.2321191

Index Terms

'Food' for Human Robot Interaction
1. Human-centered computing
  1. Interaction design
    1. Interaction design theory, concepts and paradigms

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Published In

cover image ACM Conferences

HRI '21 Companion: Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction

March 2021

756 pages

ISBN:9781450382908

DOI:10.1145/3434074

General Chairs:
Cindy Bethel
Mississippi State University, USA
,
Ana Paiva
INESC-ID, IST, University of Lisbon, Portugal & Radcliffe Institute for Advanced Study, Harvard University, USA
,
Program Chairs:
Elizabeth Broadbent
University of Auckland, New Zealand
,
David Feil-Seifer
University of Nevada Reno, USA
,
Daniel Szafir
University of Colorado Boulder, USA

Copyright © 2021 ACM.

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Published: 08 March 2021

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HRI '21

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HRI '21: ACM/IEEE International Conference on Human-Robot Interaction

March 8 - 11, 2021

CO, Boulder, USA

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Cited By

Okafuji YIshikawa TMatsumura KBaba JNakanishi J(2024)Pseudo-eating behavior of service robot to improve the trustworthiness of product recommendationsAdvanced Robotics10.1080/01691864.2024.232119138:5(343-356)Online publication date: 5-Mar-2024
https://doi.org/10.1080/01691864.2024.2321191

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