cs.ROMar 6, 2026

Material Driven HRI Design: Aesthetics as Explainability

Authors: Natalie Friedman, Kevin Weatherwax, Chengchao Zhu

Organizations: BTP SAP Innovation Palo Alto, CA, USA

Abstract

Aesthetics - often treated as secondary to function-guides how people interpret robots' roles. A great deal of robot designs - both real and fictitious - use sleek industrial aesthetics. These feature hard glossy plastics, hiding as much of the underlying mechanical and electrical components as possible, resembling something akin to a nude humanoid figure. This leaves robots as something of a blank slate to which end-users apply coverings to, often based on media of fiction and non-fiction alike. We argue that designers can take cues from fashion to design interaction and set appropriate expectations. Rather than viewing appearance as decoration, we propose that color, texture, and material choices function as interaction signals. These signals can invite or discourage touch, clarify a robot's role, and help align user expectations with a robot's actual capabilities. When done thoughtfully, such cues can create familiarity and legibility; when done poorly, they can lead to wrong expectations. This preliminary paper proposes a framework describing how materials can create explainability by signaling expectations for interaction, task, and environment. We use this framework to do a content analysis of 6 robots.

Figures & tables

Explore similar work

CardsList
  1. Otherness as a Quality in Designing Expressive Robotic Touch

    Apr 25, 2026Ran Zhou, Laurens Boer, Daniel Leithinger +1RoboticsHaptic Feedback

  2. Why did My Robot Just Change Personality? Prompting Guidelines for a Grounded Robot Persona in LLM-Based HRI

    Aug 21, 2026Ashita Ashok, Franziska Babel, Patrick Holthaus +7Human-Robot InteractionPrompt Engineering

  3. Why That Robot? A Qualitative Analysis of Justification Strategies for Robot Color Selection Across Occupational Contexts

    Mar 30, 2026Jiangen He, Wanqi Zhang, Jessica K. BarfieldHuman Preference EvaluationHuman-Robot Interaction