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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