Collection of Metaphors for Human-Robot Interaction
Paper i proceeding, 2021

The word "robot"frequently conjures unrealistic expectations of utilitarian perfection: tireless, efficient and flawless agents. However, real-world robots are far from perfect - they fail and make mistakes. Thus, roboticists should consider altering their current assumptions and cultivating new perspectives that account for a more complete range of robot roles, behaviors, and interactions. To encourage this, we explore the use of metaphors for generating novel ideas and reframing existing problems, eliciting new perspectives of human-robot interaction. Our work makes two contributions. We (1) surface current assumptions that accompany the term "robots,"and (2) present a collection of alternative perspectives of interaction with robots through metaphors. By identifying assumptions, we provide a comprehensible list of aspects to reconsider regarding robots' physicality, roles, and behaviors. Through metaphors, we propose new ways of examining how we can use, relate to, and co-exist with the robots that will share our future.


design research


human-robot interaction

robot assumptions


Patricia Alves-Oliveira

University of Washington

Maria Luce Lupetti

TU Delft

Michal Luria

Carnegie Mellon University (CMU)

Diana Löffler

Universität Siegen

Mafalda Samuelsson-Gamboa

Chalmers, Data- och informationsteknik, Interaktionsdesign

Lea Albaugh

Carnegie Mellon University (CMU)

Waki Kamino

Indiana University

Anastasia K. Ostrowski

Massachusetts Institute of Technology (MIT)

David Puljiz

Karlsruher Institut für Technologie (KIT)

Pedro Reynolds-Cuéllar

Massachusetts Institute of Technology (MIT)

Marcus Scheunemann

University of Hertfordshire

Michael Suguitan

Cornell University

Dan Lockton

Technische Universiteit Eindhoven

DIS 2021 - Proceedings of the 2021 ACM Designing Interactive Systems Conference: Nowhere and Everywhere

9781450384766 (ISBN)

2021 ACM Designing Interactive Systems Conference: Nowhere and Everywhere, DIS 2021
Virtual, Online, USA,




Robotteknik och automation



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