Ein Vergleich von Datenanalysemethoden für eine Affective Engineering Methode

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Zöller S, Schröppel T, Wartzack S
Editor(s): Krause, D.; Paetzold, K.; Wartzack, S.
Publisher: TuTech Verlag
Publishing place: Hamburg
Publication year: 2017
Conference Proceedings Title: Design for X. Beiträge zum 28. DfX-Symposium
Pages range: 287-298
ISBN: 978-3-946094-20-3
Language: German


Abstract


Affective Engineering (AE) is an engineering genre that deals with users’ subjective value creation in technical product design. Therein, quantitative instruments to map subjective quality criteria are dominant. ACADE is such an instrument that focuses on a long-term alignment of product design impres-sions to the subjective needs of users. Due to its quantitative backbone, sev-eral mathematical analysis methods seem convenient, whereas their specific benefits and drawbacks are not yet clear in the AE context. Therefore, anal-yses of nonlinear regression, artificial neural networks, fuzzy logic systems and hybrids are examined under the aspect of ACADE applicability. Different quality indicators unveil characteristics which the designer may use to mine their potential for future AE analyses.



FAU Authors / FAU Editors

Schröppel, Tina
Lehrstuhl für Konstruktionstechnik
Wartzack, Sandro Prof. Dr.-Ing.
Lehrstuhl für Konstruktionstechnik
Zöller, Susan
Lehrstuhl für Konstruktionstechnik


How to cite

APA:
Zöller, S., Schröppel, T., & Wartzack, S. (2017). Ein Vergleich von Datenanalysemethoden für eine Affective Engineering Methode. In Krause, D.; Paetzold, K.; Wartzack, S. (Eds.), Design for X. Beiträge zum 28. DfX-Symposium (pp. 287-298). Bamberg: Hamburg: TuTech Verlag.

MLA:
Zöller, Susan, Tina Schröppel, and Sandro Wartzack. "Ein Vergleich von Datenanalysemethoden für eine Affective Engineering Methode." Proceedings of the 28. DfX-Symposium, Bamberg Ed. Krause, D.; Paetzold, K.; Wartzack, S., Hamburg: TuTech Verlag, 2017. 287-298.

BibTeX: 

Last updated on 2018-10-08 at 21:41