HomeElectronics NewsHow Eyes On Robots Affect Human Perception

How Eyes On Robots Affect Human Perception

Do robots with eyes seem more alive? A study explores how eye features on humanoid robots shape human perception of their minds.

Credit: Owen Beard (Unsplash.com).
Credit: Owen Beard (Unsplash.com).

Engineers have developed humanoid robots, some in public spaces and others possibly entering homes. As these robots assist users, understanding how people perceive them is important. While many roboticists focus on human-like design, some study how physical features shape beliefs about a robot’s mind and consciousness.

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A research team at the University of Bremen explored whether the presence of eyes on a humanoid robot affects how people perceive its mind. Their study found that humans are more likely to attribute a mind to a robot if it has eye-like structures on its face.

Humans often associate meanings with eyes, as they can express emotions or internal states. The researchers aimed to explore whether these associations influence how people perceive humanoid robots, particularly in attributing a mind capable of thought or emotion.

Researchers created images of humanoid robots with full bodies, displaying them with or without eyes. In one experiment, participants evaluated mind attribution through self-assessment questionnaires, while another used the Implicit Association Test. The study involved two experiments with 200 and 100 participants. In both cases, participants viewed AI-generated images of humanoid robots with or without eyes to assess their perceptions.

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In the first experiment, participants answered four questions after viewing robot images, assessing whether the robot could act with self-control and thought, distinguish right from wrong, experience emotions, or possess personality and consciousness. In the second experiment, researchers used the Implicit Association Test, a psychological tool that measures subconscious attitudes by analyzing how quickly participants make associations after seeing an image or reading a word.

The study found that humans are more likely to attribute a mind to humanoid robots with eye-like facial features than those without. Both explicit and implicit measurements showed that the presence of eyes increased perceptions of agency and experience.

These findings suggest that eye-like features influence beliefs about a robot’s ability to think, be conscious, and experience emotions. This research could guide the development of humanoid robots and encourage further studies on the psychological and ethical implications of attributing a mind to machines.

Reference: Jari Hietanen et al, The Effect of Eyes on the Perception of Humanoid Robots’ Mind, SSRN (2025). DOI: 10.2139/ssrn.5139266.

Nidhi Agarwal
Nidhi Agarwal
Nidhi Agarwal is a Senior Technology Journalist at Electronics For You, specialising in embedded systems, development boards, and IoT cloud solutions. With a Master’s degree in Signal Processing, she combines strong technical knowledge with hands-on industry experience to deliver clear, insightful, and application-focused content. Nidhi began her career in engineering roles, working as a Product Engineer at Makerdemy, where she gained practical exposure to IoT systems, development platforms, and real-world implementation challenges. She has also worked as an IoT intern and robotics developer, building a solid foundation in hardware-software integration and emerging technologies. Before transitioning fully into technology journalism, she spent several years in academia as an Assistant Professor and Lecturer, teaching electronics and related subjects. This background reflects in her writing, which is structured, easy to understand, and highly educational for both students and professionals. At Electronics For You, Nidhi covers a wide range of topics including embedded development, cloud-connected devices, and next-generation electronics platforms. Her work focuses on simplifying complex technologies while maintaining technical accuracy, helping engineers, developers, and learners stay updated in a rapidly evolving ecosystem.

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