ArticleFrontiers in neurorobotics2014
Arousal regulation and affective adaptation to human responsiveness by a robot that explores and learns a novel environment.
Article in Frontiers in neurorobotics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Human-AI attachment: how humans develop intimate relationships with AI.Frontiers in psychology · 2026Article
- Attentional responses in toddlers: A protocol for assessing the impact of a robotic animated animal and a real dog.PloS one · 2025Article
- A Bio-Inspired Dopamine Model for Robots with Autonomous Decision-Making.Biomimetics (Basel, Switzerland) · 2024Article
- Artificial cognition vs. artificial intelligence for next-generation autonomous robotic agents.Frontiers in computational neuroscience · 2024Article
- The Long-Term Efficacy of "Social Buffering" in Artificial Social Agents: Contextual Affective Perception Matters.Frontiers in robotics and AI · 2022Article
- Why Do We Need Computational Models of Psychological Change and Recovery, and How Should They Be Designed and Tested?Frontiers in psychiatry · 2020Review
- A Socially Adaptable Framework for Human-Robot Interaction.Frontiers in robotics and AI · 2020Article
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Authors and funding
3 authors.
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Abstract
In the context of our work in developmental robotics regarding robot-human caregiver interactions, in this paper we investigate how a "baby" robot that explores and learns novel environments can adapt its affective regulatory behavior of soliciting help from a "caregiver" to the preferences shown by the caregiver in terms of varying responsiveness. We build on two strands of previous work that assessed independently (a) the differences between two "idealized" robot profiles-a "needy" and an "independent" robot-in terms of their use of a caregiver as a means to regulate the "stress" (arousal) produced by the exploration and learning of a novel environment, and (b) the effects on the robot behaviors of two caregiving profiles varying in their responsiveness-"responsive" and "non-responsive"-to the regulatory requests of the robot. Going beyond previous work, in this paper we (a) assess the effects that the varying regulatory behavior of the two robot profiles has on the exploratory and learning patterns of the robots; (b) bring together the two strands previously investigated in isolation and take a step further by endowing the robot with the capability to adapt its regulatory behavior along the "needy" and "independent" axis as a function of the varying responsiveness of the caregiver; and (c) analyze the effects that the varying regulatory behavior has on the exploratory and learning patterns of the adaptive robot.
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