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

13 Citations (Scopus)

Abstract

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 publicationACM International Conference Proceeding Series
PublisherAssociation for Computing Machinery
Pages163-164
Number of pages2
Volume11
ISBN (Print)9781450333498
DOIs
Publication statusPublished - 2015 Mar 9
Event6th Augmented Human International Conference, AH 2015 - Singapore, Singapore
Duration: 2015 Mar 92015 Mar 11

Other

Other6th Augmented Human International Conference, AH 2015
CountrySingapore
CitySingapore
Period15/3/915/3/11

Keywords

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

ASJC Scopus subject areas

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

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