Warrior Bot, Relational Bot, Blameworthy Bot: How a Student Design Team Anthropomorphize Their Combat Robot Creations

How do robot designers anthropomorphize their own creations? Because robot designers have the ability to alter the robot, identify as its creator, and understand their robot’s internal makeup, their process of anthropomorphism and its outcomes may be different from that of the typical robot user. We investigate this research question in the domain of combat robots, where anthropomorphism is critical to decision-making, communication, and trust in high-stakes, high-emotion combat situations faced by robot-soldier teams. We conducted an in-depth case study of a university’s student-led Combat Robotics Design Team over the design, construction, testing, and competition phases for their competitive combat robot. Based on inductive computational and human coding of extensive field notes, supplemented with interviews and surveys, we found that these robot designers anthropomorphize for three purposes. First, they anthropomorphize the bot to manage impressions of it within their team and to outsiders like competitors, spectators, and sponsors, specifically presenting it as a warrior. Second, they anthropomorphize it like a child, a pet, or simply treat it as a non-anthropomorphic mechanical set of parts as a way to calibrate their relationship and attach with or detach from their own creation. Third, they anthropomorphize the bots to assign blame either blaming it, its parts, or others based on their expectations of whether it is performing based on how they designed it. We conclude with implications for anthropomorphism by robot designers and application to military robot design.

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Publication Details

Journal
ACM Transactions on Human-Robot Interaction
Published
2025-12-17
DOI
https://doi.org/10.1145/3785150
Primary Topic
Social Robot Interaction and HRI
Type
article
Field-Weighted Citation Impact
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article

Warrior Bot, Relational Bot, Blameworthy Bot: How a Student Design Team Anthropomorphize Their Combat Robot Creations

David Wright, Merilee A. Krueger, Carleigh Davis, Daniel B. Shank et al.
ACM Transactions on Human-Robot Interaction
Social Robot Interaction and HRI
article

Warrior Bot, Relational Bot, Blameworthy Bot: How a Student Design Team Anthropomorphize Their Combat Robot Creations

David Wright, Merilee A. Krueger, Carleigh Davis, Daniel B. Shank, Niels O. Young, Frederick F. Sunkpal, Karli Hoerstkamp
article en

Abstract

How do robot designers anthropomorphize their own creations? Because robot designers have the ability to alter the robot, identify as its creator, and understand their robot’s internal makeup, their process of anthropomorphism and its outcomes may be different from that of the typical robot user. We investigate this research question in the domain of combat robots, where anthropomorphism is critical to decision-making, communication, and trust in high-stakes, high-emotion combat situations faced by robot-soldier teams. We conducted an in-depth case study of a university’s student-led Combat Robotics Design Team over the design, construction, testing, and competition phases for their competitive combat robot. Based on inductive computational and human coding of extensive field notes, supplemented with interviews and surveys, we found that these robot designers anthropomorphize for three purposes. First, they anthropomorphize the bot to manage impressions of it within their team and to outsiders like competitors, spectators, and sponsors, specifically presenting it as a warrior. Second, they anthropomorphize it like a child, a pet, or simply treat it as a non-anthropomorphic mechanical set of parts as a way to calibrate their relationship and attach with or detach from their own creation. Third, they anthropomorphize the bots to assign blame either blaming it, its parts, or others based on their expectations of whether it is performing based on how they designed it. We conclude with implications for anthropomorphism by robot designers and application to military robot design.

ACM Transactions on Human-Robot InteractionVol. 15(2)
Missouri University of Science and Technology (US), University of Missouri–St. Louis (US)
Openalex Percentile: Top 54%
Social Robot Interaction and HRI
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