Android Emotions Revealed

Evgenios Vlachos , Henrik Schärfe

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

12 Citations (Scopus)

Abstract

This work presents a method for designing facial interfaces for sociable android robots with respect to the fundamental rules of human affect expression. Extending the work of Paul Ekman towards a robotic direction, we follow the judgment-based approach for evaluating facial expressions to test in which case an android robot like the Geminoid|DK –a duplicate of an Original person- reveals emotions convincingly; when following an empirical perspective, or when following a theoretical one. The methodology includes the processes of acquiring the empirical data, and gathering feedback on them. Our findings are based on the results derived from a number of judgments, and suggest that before programming the facial expressions of a Geminoid, the Original should pass through the proposed procedure. According to our recommendations, the facial expressions of an android should be tested by judges, even in cases that no Original is engaged in the android face creation.
Original languageEnglish
Title of host publicationProceedings of the International Conference on Social Robotics
Number of pages10
PublisherSpringer Publishing Company
Publication date2012
Pages56-65
ISBN (Print)978-3-642-34102-1
ISBN (Electronic)978-3-642-34103-8
DOIs
Publication statusPublished - 2012
EventInternational Conference on Social Robotics - Chengdu, China
Duration: 29 Oct 201231 Oct 2012
Conference number: 4th

Conference

ConferenceInternational Conference on Social Robotics
Number4th
Country/TerritoryChina
CityChengdu
Period29/10/201231/10/2012
SeriesLecture Notes in Artificial Intelligence (LNAI)
Number7621
  • Geminoid | DK

    Østergaard, M. P. (Project Participant), Knudsen, S. H. (Project Participant), Schärfe, H. (Project Coordinator) & Vlachos, E. (Project Participant)

    Det Obelske Familiefond, IT-vest

    01/06/201031/12/2014

    Project: Research

Cite this