Identifying Relationships between Physiological Measures and Evaluation Metrics for 3D Interaction Techniques

  • Rafael Rieder
  • Christian Haag Kristensen
  • Márcio Sarroglia Pinho
Conference paper

DOI: 10.1007/978-3-642-23765-2_45

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6948)
Cite this paper as:
Rieder R., Kristensen C.H., Pinho M.S. (2011) Identifying Relationships between Physiological Measures and Evaluation Metrics for 3D Interaction Techniques. In: Campos P., Graham N., Jorge J., Nunes N., Palanque P., Winckler M. (eds) Human-Computer Interaction – INTERACT 2011. INTERACT 2011. Lecture Notes in Computer Science, vol 6948. Springer, Berlin, Heidelberg

Abstract

This project aims to present a methodology to study the relationships between physiological measures and evaluation metrics for 3D interaction techniques using methods for multivariate data analysis. Physiological responses, such as heart rate and skin conductance, offer objective data about the user stress during interaction. This could be useful, for instance, to evaluate qualitative aspects of interaction techniques without relying on solely subjective data. Moreover, these data could contribute to improve task performance analysis by measuring different responses to 3D interaction techniques. With this in mind, we propose a methodology that defines a testing protocol, a normalization procedure and statistical techniques, considering the use of physiological measures during the evaluation process. A case study comparison between two 3D interaction techniques (ray-casting and HOMER) shows promising results, pointing to heart rate variability, as measured by the NN50 parameter, as a potential index of task performance. Further studies are needed in order to establish guidelines for evaluation processes based on well-defined associations between human behaviors and human actions realized in 3D user interfaces.

Keywords

usability metrics physiological measures interaction techniques 

Copyright information

© IFIP International Federation for Information Processing 2011

Authors and Affiliations

  • Rafael Rieder
    • 1
    • 2
  • Christian Haag Kristensen
    • 1
  • Márcio Sarroglia Pinho
    • 1
  1. 1.Pontifical Catholic University of Rio Grande do SulPorto AlegreBrazil
  2. 2.University of Passo FundoPasso FundoBrazil

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