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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
Artikel, Zweitveröffentlichung, Verlagsversion

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Kurzbeschreibung (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.

Typ des Eintrags: Artikel
Erschienen: 2023
Autor(en): Hatzfeld, Christian ; Kühner, Manuel ; Söllner, Stefan ; Khanh, Tran Quoc ; Kupnik, Mario
Art des Eintrags: Zweitveröffentlichung
Titel: Human Perception Measures for Product Design and Development — A Tutorial to Measurement Methods and Analysis
Sprache: Englisch
Publikationsjahr: 21 November 2023
Ort: Darmstadt
Publikationsdatum der Erstveröffentlichung: 2017
Ort der Erstveröffentlichung: Basel
Verlag: MDPI
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Multimodal Technologies and Interaction
Jahrgang/Volume einer Zeitschrift: 1
(Heft-)Nummer: 4
Kollation: 23 Seiten
DOI: 10.26083/tuprints-00016363
URL / URN: https://tuprints.ulb.tu-darmstadt.de/16363
Zugehörige Links:
Herkunft: Zweitveröffentlichung DeepGreen
Kurzbeschreibung (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.

Freie Schlagworte: psychophysics, design of experiments, data analysis
Status: Verlagsversion
URN: urn:nbn:de:tuda-tuprints-163636
Sachgruppe der Dewey Dezimalklassifikatin (DDC): 600 Technik, Medizin, angewandte Wissenschaften > 621.3 Elektrotechnik, Elektronik
Fachbereich(e)/-gebiet(e): 18 Fachbereich Elektrotechnik und Informationstechnik
18 Fachbereich Elektrotechnik und Informationstechnik > Adaptive Lichttechnische Systeme und Visuelle Verarbeitung
18 Fachbereich Elektrotechnik und Informationstechnik > Mess- und Sensortechnik
Hinterlegungsdatum: 21 Nov 2023 13:46
Letzte Änderung: 27 Nov 2023 12:12
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