AE Workbench Function: A Springboard for Exploratory Analysis in Affective Engineering

  • Fabio R Camargo
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 739)


Affective engineering (AE) workbench function is a computer simulation tool based on latent trait models for applications in Kansei and affective engineering. The tool integrates observed data obtained from responses of small number of people in exploratory trials and artificial data sets within a projected probabilistic distribution. Via different simulations a number of potential issues in data analysis can be tested before carrying out larger trials, such as dependence between affective statements or Kansei words, and high correlation between stimuli. The general principles of the AE workbench function is shown in a case study based on a typical data collection in the domain. Although the tool is not designed to overcome completely the difficulties associated with the availability of data as eliciting people’s responses in controlled environment, it can offer insights about an experimental design, providing the opportunity for fine-tuning and strengthening one’s a priori assumptions.


Simulation Probabilistic Approach Affective Engineering 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Softmetrika Consulting ServicesCuritibaBrazil

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