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

Hatzfeld, Christian ; Kühner, Manuel ; Söllner, Stefan ; Khanh, Tran Quoc ; Kupnik, Mario (2023)
Human Perception Measures for Product Design and Development — A Tutorial to Measurement Methods and Analysis.
In: Multimodal Technologies and Interaction, 2017, 1 (4)
doi: 10.26083/tuprints-00016363
Article, Secondary publication, Publisher's Version

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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: 2023
Creators: Hatzfeld, Christian ; Kühner, Manuel ; Söllner, Stefan ; Khanh, Tran Quoc ; Kupnik, Mario
Type of entry: Secondary publication
Title: Human Perception Measures for Product Design and Development — A Tutorial to Measurement Methods and Analysis
Language: English
Date: 21 November 2023
Place of Publication: Darmstadt
Year of primary publication: 2017
Place of primary publication: Basel
Publisher: MDPI
Journal or Publication Title: Multimodal Technologies and Interaction
Volume of the journal: 1
Issue Number: 4
Collation: 23 Seiten
DOI: 10.26083/tuprints-00016363
URL / URN: https://tuprints.ulb.tu-darmstadt.de/16363
Corresponding Links:
Origin: Secondary publication DeepGreen
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.

Uncontrolled Keywords: psychophysics, design of experiments, data analysis
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-163636
Classification DDC: 600 Technology, medicine, applied sciences > 621.3 Electrical engineering, electronics
Divisions: 18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Adaptive Lighting Systems and Visual Processing
18 Department of Electrical Engineering and Information Technology > Measurement and Sensor Technology
Date Deposited: 21 Nov 2023 13:46
Last Modified: 27 Nov 2023 12:12
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