Natural affect data - Collection & annotation in a learning context

  • Shazia Afzal*
  • , Peter Robinson
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Automatic inference of affect relies on representative data. For viable applications of such technology the use of naturalistic over posed data has been increasingly emphasised. Creating a repository of naturalistic data is however a massively challenging task. We report results from a data collection exercise in one of the most significant application areas of affective computing, namely computer-based learning environments. The conceptual and methodological issues encountered during the process are discussed, and problems with labelling and annotation are identified. A comparison of the compiled database with some standard databases is also presented.

Original languageEnglish
Title of host publicationProceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009 - Amsterdam, Netherlands
Duration: 10 Sept 200912 Sept 2009

Publication series

NameProceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009

Conference

Conference2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009
Country/TerritoryNetherlands
CityAmsterdam
Period10/09/0912/09/09

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