Researchers have developed a new framework to analyze the ethical risks associated with personalization in human-robot interaction (HRI). This framework, grounded in an embodiment-aware perspective, categorizes risks based on the stages of the personalization process and interaction characteristics like short-term versus long-term engagement. It identifies key ethical concerns such as autonomy erosion, biased user modeling, manipulation, dehumanization, and privacy violations, offering design recommendations for more responsible HRI. AI
IMPACT Provides a structured approach for developing more ethical and transparent personalized robot behaviors.
RANK_REASON The cluster contains a research paper published on arXiv detailing a new framework for analyzing ethical risks in human-robot interaction.
- alphaXiv
- Antonio Andriella
- arXiv
- CatalyzeX
- CORE Recommender
- DagsHub
- Gotit.pub
- Hugging Face
- Influence Flower
- ScienceCast
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