Empathy Glasses

Katsutoshi Masai, Maki Sugimoto, Kai Steven Kunze, Mark Billinghurst

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

In this paper, we describe Empathy Glasses, a head worn prototype designed to create an empathic connection between remote collaborators. The main novelty of our system is that it is the first to combine the following technologies together: (1) wearable facial expression capture hardware, (2) eye tracking, (3) a head worn camera, and (4) a seethrough head mounted display, with a focus on remote collaboration. Using the system, a local user can send their information and a view of their environment to a remote helper who can send back visual cues on the local user's see-through display to help them perform a real world task. A pilot user study was conducted to explore how effective the Empathy Glasses were at supporting remote collaboration. We describe the implications that can be drawn from this user study.

Original languageEnglish
Title of host publicationCHI EA 2016: #chi4good - Extended Abstracts, 34th Annual CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
Pages1257-1263
Number of pages7
Volume07-12-May-2016
ISBN (Electronic)9781450340823
DOIs
Publication statusPublished - 2016 May 7
Event34th Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2016 - San Jose, United States
Duration: 2016 May 72016 May 12

Other

Other34th Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2016
CountryUnited States
CitySan Jose
Period16/5/716/5/12

Keywords

  • Emotional interface
  • Facial expression
  • Remote collaboration
  • Wearables

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design
  • Software

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  • Cite this

    Masai, K., Sugimoto, M., Kunze, K. S., & Billinghurst, M. (2016). Empathy Glasses. In CHI EA 2016: #chi4good - Extended Abstracts, 34th Annual CHI Conference on Human Factors in Computing Systems (Vol. 07-12-May-2016, pp. 1257-1263). Association for Computing Machinery. https://doi.org/10.1145/2851581.2892370