Applying Physiological Computing Methods to Study Psychological, Affective and Motivational Relevance

Conference paper

DOI: 10.1007/978-3-319-13500-7_3

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8820)
Cite this paper as:
Barral O., Jacucci G. (2014) Applying Physiological Computing Methods to Study Psychological, Affective and Motivational Relevance. In: Jacucci G., Gamberini L., Freeman J., Spagnolli A. (eds) Symbiotic Interaction. Symbiotic 2014. Lecture Notes in Computer Science, vol 8820. Springer, Cham

Abstract

Relevance in information science has been studied for over forty years and robust frameworks have been derived. However, information retrieval systems are still using mainly objective, algorithmic measures of relevance. The aim of the present paper is to raise a discussion around the possibility that bring state-of-the-art physiological computing methods to model subjective components of relevance. We center the discussion on the relevance types known in the information science literature as psychological, affective and motivational relevance. The paper presents a definition of these concepts, as well as an overview of the recent advances in physiological computing methods developed in information science and information retrieval. We conclude with a discussion around the potential of physiological computing methods to model psychological, affective or motivational relevance.

Keywords

Physiological computing Affective relevance Psychological relevance Information retrieval 

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Department of Computer Science, Helsinki Institute for Information Technology HIITUniversity of HelsinkiHelsinkiFinland

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