Social robots and the intentional stance

Veit, Walter; Browning, Heather

doi:10.1017/s0140525x22001595

Behav Brain Sci

2023

DOI: 10.1017/s0140525x22001595

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Social robots and the intentional stance

Walter Veit

Heather Browning

Abstract: Why is it that people simultaneously treat social robots as mere designed artefacts, yet show willingness to interact with them as if they were real agents? Here, we argue that Dennett's distinction between the intentional stance and the design stance can help us to resolve this puzzle, allowing us to further our understanding of social robots as interactive depictions.

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2024

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Cited by 2 publications

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Intentional or Designed? The Impact of Stance Attribution on Cognitive Processing of Generative AI Service Failures

Lv,

Sun,

Zhu

et al. 2024

Brain Sciences

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Background: With the rapid expansion of the generative AI market, conducting in-depth research on cognitive conflicts in human–computer interaction is crucial for optimizing user experience and improving the quality of interactions with AI systems. However, existing studies insufficiently explore the role of user cognitive conflicts and the explanation of stance attribution in the design of human–computer interactions. Methods: This research, grounded in mental models theory and employing an improved version of the oddball paradigm, utilizes Event-Related Spectral Perturbations (ERSP) and functional connectivity analysis to reveal how task types and stance attribution explanations in generative AI influence users’ unconscious cognitive processing mechanisms during service failures. Results: The results indicate that under design stance explanations, the ERSP and Phase Locking Value (PLV) in the theta frequency band were significantly lower for emotional task failures than mechanical task failures. In the case of emotional task failures, the ERSP and PLV in the theta frequency band induced by intentional stance explanations were significantly higher than those induced by design stance explanations. Conclusions: This study found that stance attribution explanations profoundly affect users’ mental models of AI, which determine their responses to service failure.

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Intentional or Designed? The Impact of Stance Attribution on Cognitive Processing of Generative AI Service Failures

Lv,

Sun,

Zhu

et al. 2024

Brain Sciences

View full text Add to dashboard Cite

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Sustainable Impact of Stance Attribution Design Cues for Robots on Human–Robot Relationships—Evidence from the ERSP

Lv,

Sun,

Zhu

et al. 2024

Sustainability

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With the development of large language model technologies, the capability of social robots to interact emotionally with users has been steadily increasing. However, the existing research insufficiently examines the influence of robot stance attribution design cues on the construction of users’ mental models and their effects on human–robot interaction (HRI). This study innovatively combines mental models with the associative–propositional evaluation (APE) model, unveiling the impact of the stance attribution explanations of this design cue on the construction of user mental models and the interaction between the two types of mental models through EEG experiments and survey investigations. The results found that under the influence of intentional stance explanations (compared to design stance explanations), participants displayed higher error rates, higher θ- and β-band Event-Related Spectral Perturbations (ERSPs), and phase-locking value (PLV). Intentional stance explanations trigger a primarily associatively based mental model of users towards robots, which conflicts with the propositionally based mental models of individuals. Users might adjust or “correct” their immediate reactions caused by stance attribution explanations after logical analysis. This study reveals that stance attribution interpretation can significantly affect users’ mental model construction of robots, which provides a new theoretical framework for exploring human interaction with non-human agents and provides theoretical support for the sustainable development of human–robot relations. It also provides new ideas for designing robots that are more humane and can better interact with human users.

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Social robots and the intentional stance

Cited by 2 publications

References 6 publications

Intentional or Designed? The Impact of Stance Attribution on Cognitive Processing of Generative AI Service Failures

Intentional or Designed? The Impact of Stance Attribution on Cognitive Processing of Generative AI Service Failures

Sustainable Impact of Stance Attribution Design Cues for Robots on Human–Robot Relationships—Evidence from the ERSP

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