Published in Animal Cognition, this multidisciplinary review by F. Krueger, Kelsey C. Mitchell, G. Deshpande, and J. Katz argues that human–dog social bonds provide a powerful template for exploring how humans may form long-term emotional attachments to robotic companions. As robots become increasingly present in daily life, from household assistants to therapeutic partners, understanding the mechanisms of such attachments becomes essential.
The authors note that humans naturally attribute emotions, intentions, and personality traits to non-human agents. This tendency underlies both successful human–animal relationships and the potential for human–robot attachment (HRA). Drawing from ethology, psychology, and engineering, the review highlights how evolutionarily adaptive social behaviors observed in domesticated animals—especially dogs—can inform the design of social robots, or ethorobots, that interact with humans in meaningful ways.
A central component of the review is the examination of human–dog interactions as prototypes for non-human social companions. Dogs’ exceptional sensitivity to human cues, their capacity for cooperation, and their established cross-species communication framework make them an ideal reference point. This model helps researchers identify which behavioral features—such as responsiveness, affective signaling, gaze behavior, and approach patterns—should be incorporated into robotic systems aiming to evoke attachment-like responses in humans.
The second major aim of the article is to synthesize research on human attitudes toward robotic dogs. Studies show that humans evaluate robotic companions based on appearance, behavioral realism, responsiveness, and perceived emotionality. These factors influence not only user engagement but also the likelihood of forming enduring attachments. The review highlights that robot-assisted therapy provides a growing domain where these dynamics play out, with robotic dogs being used to reduce loneliness, support social interaction, and provide comfort in clinical and elder-care settings.
The authors emphasize that developing a theoretical framework for HRA is crucial. Without it, attempts to foster deep, sustainable human–robot relationships may fall short. By integrating insights from biology, psychology, neuroscience, and engineering, researchers can better understand how humans perceive social robots, what motivates attachment, and how to design systems that support positive, ethical, and socially meaningful interactions.
Ultimately, the review offers a forward-looking roadmap for future research on HRA. By adopting the human–dog relationship as a guiding framework, scientists and engineers gain a biologically grounded model for shaping robotic behavior, appearance, and social competencies—enhancing the potential for robots to become trusted, emotionally resonant companions across diverse contexts.
Source: Krueger, F., Mitchell, K. C., Deshpande, G., & Katz, J. (2021). Human–dog relationships as a working framework for exploring human–robot attachment: a multidisciplinary review. Animal Cognition. Published January 24, 2021.
