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Measuring Implicit Attitudes in Human-Computer Interactions

  • Conference paper
Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6743))

Abstract

This paper presents the ongoing project which attempts to solve the problem of measuring users’ satisfaction by utilizing methods of discovering users’ implicit attitudes. In the initial stage, authors attempted to use the Implicit Association Test (IAT) in order to discover users’ implicit attitudes towards a virtual character. The conventional IAT procedure and scoring algorithm were used in order to find possible lacks of original method. Results of the initial experiment are shown in the paper along with method modification proposal and preliminary verification experiment.

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Author information

Authors and Affiliations

  1. Dept. of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University, Yoshida-Honmachi, Sakyo-ku, Kyoto, 606-8501, Japan

    Andrey Kiselev & Toyoaki Nishida

  2. Plekhanov Russian Academy of Economics, 6, Stremyanny lane, Moscow, 116998, Russia

    Niyaz Abdikeev

Authors
  1. Andrey Kiselev
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  2. Niyaz Abdikeev
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  3. Toyoaki Nishida
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Editor information

Editors and Affiliations

  1. State University Higher School of Economics, Pokrovskiy Bd. 11, 109028, Moscow, Russia

    Sergei O. Kuznetsov

  2. Institute of Mathematics, University of Warsaw, ul. Banacha 2, 02-097, Warsaw, Poland

    Dominik Ślęzak

  3. Department of Computer Science, University of Regina, 3737 Wascana Parkway, S4S 0A2, Regina, SK, Canada

    Daryl H. Hepting

  4. Birbeck University of London, Malet Street, WC1E 7HX, London, UK

    Boris G. Mirkin

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© 2011 Springer-Verlag Berlin Heidelberg

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Kiselev, A., Abdikeev, N., Nishida, T. (2011). Measuring Implicit Attitudes in Human-Computer Interactions. In: Kuznetsov, S.O., Ślęzak, D., Hepting, D.H., Mirkin, B.G. (eds) Rough Sets, Fuzzy Sets, Data Mining and Granular Computing. RSFDGrC 2011. Lecture Notes in Computer Science(), vol 6743. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21881-1_54

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  • DOI: https://doi.org/10.1007/978-3-642-21881-1_54

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21880-4

  • Online ISBN: 978-3-642-21881-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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