Human Perception Measures for Product Design and Development—A Tutorial to Measurement Methods and Analysis

This tutorial describes the necessary steps for designing and conducting a perception experiment in order to obtain design parameters for human–machine interactions. It is intended for engineers and product designers, which require design parameters not included in the current state of the art. Topi...

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Bibliographic Details
Published inMultimodal technologies and interaction Vol. 1; no. 4; p. 28
Main Authors Hatzfeld, Christian, Kühner, Manuel, Söllner, Stefan, Khanh, Tran, Kupnik, Mario
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.12.2017
Subjects
Autism
Damping
Data analysis
Design engineering
design of experiments
Design parameters
Engineering
Experimental psychology
Experiments
Human subjects
International organizations
Measurement methods
Medical research
Order parameters
Perception
Product design
Psychology
psychophysics
Quantitative psychology
State of the art
Statistical methods
Studies
Thresholds
United States > US
Switzerland
Germany
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Summary:This tutorial describes the necessary steps for designing and conducting a perception experiment in order to obtain design parameters for human–machine interactions. It is intended for engineers and product designers, which require design parameters not included in the current state of the art. Topics addressed are the preposition of hypotheses, the selection of parameters, psychophysical measurement procedures and the calculation of sample sizes. Relevant steps for data analysis from psychology and social sciences are applied to the engineering and design context and guidelines for reporting results are given. The required steps are illustrated with an example experiment assessing detection thresholds of damping parameters of haptic automotive rotary controls with regard to parameters like knob diameter and distraction. Results imply significant effects of knob diameter on both absolute and differential thresholds, but no effect of distraction, implying a good transferability of laboratory results to real-world applications.
ISSN:2414-4088
2414-4088
DOI:10.3390/mti1040028