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

Hatzfeld, Christian and Kühner, Manuel and Söllner, Stefan and Khanh, Tran Quoc and Kupnik, Mario (2017):
Human Perception Measures for Product Design and Development—A Tutorial to Measurement Methods and Analysis.
In: Multimodal Technologies and Interaction, 1, (4), DOI: 10.3390/mti1040028, [Article]

Abstract

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

Item Type: Article
Erschienen: 2017
Creators: Hatzfeld, Christian and Kühner, Manuel and Söllner, Stefan and Khanh, Tran Quoc and Kupnik, Mario
Title: Human Perception Measures for Product Design and Development—A Tutorial to Measurement Methods and Analysis
Language: English
Abstract:

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

Journal or Publication Title: Multimodal Technologies and Interaction
Volume: 1
Number: 4
Divisions: 18 Department of Electrical Engineering and Information Technology > Institute for Electromechanical Design
18 Department of Electrical Engineering and Information Technology > Institute for Electromechanical Design > Light Technology
18 Department of Electrical Engineering and Information Technology > Institute for Electromechanical Design > Measurement and Sensor Technology
18 Department of Electrical Engineering and Information Technology
Date Deposited: 06 Nov 2017 12:23
DOI: 10.3390/mti1040028
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