Exploiting unconscious user signals in multimodal human-computer interaction

  • Authors:
  • Elisabeth Andre

  • Affiliations:
  • Augsburg University

  • Venue:
  • ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) - Special Sections on the 20th Anniversary of ACM International Conference on Multimedia, Best Papers of ACM Multimedia 2012
  • Year:
  • 2013

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Abstract

This article presents the idea of empathic stimulation that relies on the power and potential of unconsciously conveyed attentive and emotional information to facilitate human-machine interaction. Starting from a historical review of related work presented at past ACM Multimedia conferences, we discuss challenges that arise when exploiting unconscious human signals for empathic stimulation, such as the real-time analysis of psychological user states and the smooth adaptation of the human-machine interface based on this analysis. A classical application field that might benefit from the idea of unconscious human-computer interaction is the exploration of massive datasets.