Collaboration between a physical robot and a virtual human through a unified platform for personal assistance to humans

Research output: Chapter in Book/Report/Conference proceedingChapter

6 Scopus citations

Abstract

Two human-like intelligent artificial characters (agents) of heterogeneous realities (a humanoid robot and a virtual human) are developed with similar intelligence and functionalities. Operations of the characters are integrated through a unified platform. The characters are separately deployed in a homely environment to provide personal assistance to a physically disabled human in finding a missing household object. Human’s trust in the characters as well as bilateral trust between the characters for the collaboration are separately modeled, and real-time trust measurement methods are developed. A collaboration scheme between the characters based on the bilateral trust is developed. A comprehensive evaluation scheme is developed to evaluate the performance of the characters in assisting the human. The performance levels of the individual characters and their collaboration toward providing personal assistance to the human are compared. The results show that the individual characters and their collaboration can assist the disabled human successfully, but with varying capabilities. For example, the collaboration partly outperforms the individual characters, and the physical character (robot) partly outperforms the virtual character. The results are novel that broaden the horizon of humanoid robots and virtual humans and open a new paradigm of collaboration between physical (robot) and virtual (virtual human) characters. The results are useful to develop artificial characters of heterogeneous realities and their social collaborations to provide personal assistance to disabled humans in their daily living that may improve the quality of life and produce positive economic and societal impacts.

Original languageEnglish (US)
Title of host publicationIntelligent Systems Reference Library
PublisherSpringer Science and Business Media Deutschland GmbH
Pages149-177
Number of pages29
DOIs
StatePublished - 2018

Publication series

NameIntelligent Systems Reference Library
Volume132
ISSN (Print)1868-4394
ISSN (Electronic)1868-4408

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • Information Systems and Management
  • Library and Information Sciences

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