SIGNALAI·Jul 8, 2026, 4:00 AMSignal75Medium term

Responsible Personalisation: The Double-Edged Sword of Personalisation in Human-Robot Interaction

Source: arXiv cs.AI

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Responsible Personalisation: The Double-Edged Sword of Personalisation in Human-Robot Interaction

arXiv:2607.06344v1 Announce Type: cross Abstract: While personalisation is becoming a defining capability in human-robot interaction (HRI), the existing literature on responsible personalisation remains fragmented, offering isolated accounts of ethical risks without a structured understanding of how they emerge across interaction contexts. This gap is particularly critical in HRI, where robots' embodiment and social presence can amplify and reshape such risks or generate new types of risks. We present a lifecycle-based and context-sensitive framework for personalised HRI, grounded in an embodi

Why this matters
Why now

As human-robot interaction becomes more sophisticated, the ethical considerations of personalized HRI are emerging as critical areas of study, driven by both technological capability and societal concerns.

Why it’s important

A structured understanding of responsible personalization in HRI is crucial for developing ethical guidelines and regulatory frameworks, ensuring public trust and adoption of advanced robotics.

What changes

The focus is shifting from purely technological development in HRI to a more integrated approach that prioritizes ethical design and responsible deployment, considering the societal impact of personalized robotic interactions.

Winners
  • · Ethical AI/HRI researchers
  • · Robotics companies prioritizing responsible AI
  • · Regulatory bodies
Losers
  • · Companies ignoring ethical HRI implications
  • · Unregulated HRI deployments
Second-order effects
Direct

Increased research and development into ethical AI frameworks specifically for HRI will accelerate.

Second

New standards and certifications for 'responsible HRI' will emerge, influencing product design and market access.

Third

Public perception and acceptance of humanoid robots will heavily depend on the perceived responsibility and ethics embedded in their personalized interactions.

Editorial confidence: 90 / 100 · Structural impact: 60 / 100
Original report

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Read at arXiv cs.AI
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