The augmented narrative - Toward estimating reader engagement

Kai Kunze, Susana Sanchez, Tilman Dingler, Olivier Augereau, Koichi Kise, Masahiko Inami, Terada Tsutomu

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

18 Citations (Scopus)


We present the concept of bio-feedback driven computing to design a responsive narrative, which acts according to the readers experience. We explore on how to detect engagement and give our evaluation on the usefulness of different sensor modalities. We find temperature and blink frequency are best to estimate engagement and can classify engaging and non-engaging user-independent without error for a small user sample size (5 users).

Original languageEnglish
Title of host publicationProceedings of the 6th Augmented Human International Conference, AH 2015
PublisherAssociation for Computing Machinery
Number of pages2
ISBN (Electronic)9781450333498
Publication statusPublished - 2015 Mar 9
Event6th Augmented Human International Conference, AH 2015 - Singapore, Singapore
Duration: 2015 Mar 92015 Mar 11

Publication series

NameACM International Conference Proceeding Series


Other6th Augmented Human International Conference, AH 2015


  • Blink frequency
  • Engagement
  • Eye tracking
  • Reading
  • Skin temperature

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications


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