Comparison of statistical methods for analysis of affective haptic expressions

  • Authors:
  • Yoren Gaffary;Victoria Eyharabide;Jean-Claude Martin;Mehdi Ammi

  • Affiliations:
  • Université de Paris-Sud, Orsay Cedex, France;Université de Paris-Sud, Orsay Cedex, France;Université de Paris-Sud, Orsay Cedex, France;Université de Paris-Sud, Orsay Cedex, France

  • Venue:
  • Proceedings of the ACM Symposium on Applied Perception
  • Year:
  • 2012

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Abstract

Several studies showed the relevance of haptics for conveying emotions to users. These studies usually cover recognition rate of emotions from haptic expressions. Surprisingly, the analysis of features of these haptic expressions is in counterpart often limited to a classical analysis of variance. However, this method suffers of several limitations for the analysis of such data. This paper investigates the complementarity of three different statistical methods for the processing of haptic expressions of emotions.