Aging support with socially assistive robots

Jorge Dias, João Sequeira

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Social robotics is undergoing significant transformations and a new class of tools is emerging. Though most technologies related to the physical aspects are becoming well understood, human-robot interaction is still far from human level skills. However, there is a growing pressure from society to absorb these sophisticated technologies. As robots move from factories to home, the study and optimization of Human-Robot Interaction (HRI) becomes an increasingly important factor. The main issue to success is ensuring that users are interested and satisfied by the devices they own. The issue of technological acceptance has been thoroughly studied in the context of human-computer interaction. Robots, on the other hand, can use any natural communication channel employed by their users, resulting in much higher potential for user-adapted behavior. Thus, it becomes interesting to study the phenomenon of user-adaptivity in the context of HRI. User-adaptive systems are based on information from the users, usually (but not necessarily) contained in user models. This model encodes the attributes of the user that are relevant to the operation of the system, such as the user’s expertise level and preferences. This information is used by the system to generate behavior that conforms to the idiosyncrasies of the user, resulting in higher levels of user satisfaction and acceptance. User-adaptive systems have been shown to be easier to accept by end-users than non-adaptive ones. This article gives an overview on the usage of user-adaptive techniques on robotic systems, based on an analysis of a number of recent scientific and technological works.

Original languageBritish English
Title of host publicationAging
Subtitle of host publicationFrom Fundamental Biology to Societal Impact
PublisherElsevier
Pages603-624
Number of pages22
ISBN (Electronic)9780128237618
ISBN (Print)9780128241318
DOIs
StatePublished - 1 Jan 2022

Keywords

  • social robotics
  • user modeling
  • User-adaptive systems

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