Personalization and Localization in Human-Robot Interaction: A Review of Technical Methods

Mehdi Hellou, Norina Gasteiger, Jong Yoon Lim, Minsu Jang, Ho Seok Ahn

Research output: Contribution to journalReview articlepeer-review


Personalization and localization are important when developing social robots for different sectors, including education, industry, healthcare or restaurants. This allows for an adjustment of robot behaviors according to the needs, preferences or personality of an individual when referring to personalization or to the social conventions or the culture of a country when referring to localization. However, there are different models that enable personalization and localization presented in the current literature, each with their advantages and drawbacks. This work aims to help researchers in the field of social robotics by reviewing and analyzing different papers in this domain. We specifically focus our review by exploring different robots that employ distinct models for the adaptation of the robot to its environment. Additionally, we study an array of methods used to adapt the nonverbal and verbal skills of social robots, including state-of-the-art techniques in artificial intelligence.
Original languageEnglish
Article number120
Issue number4
Publication statusPublished - 3 Nov 2021


  • Adaptation
  • Human-robot interaction
  • Localization
  • Personalization
  • Social robotics


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