TUHH Open Research
Help
New user? Click here to register.Have you forgotten your password?
Communities & Collections
Publications
Research Data
People
Institutions
Projects
  1. Home
  2. Publications
  3. Publication References
  4. Using deductive case study analysis to identify and reduce cognitive challenges in product development

Using deductive case study analysis to identify and reduce cognitive challenges in product development

Publikationstyp
Conference Paper
Date Issued
2026
Sprache
English
Author(s)
Kull, Pascal
Smarte Entwicklung und Maschinenelemente M-19
Sievers, Tjark
Smarte Entwicklung und Maschinenelemente M-19
Schlegel, Michael
Just, Markus
Albers, Albert
Bursac, Nikola
Smarte Entwicklung und Maschinenelemente M-19
TORE-URI
https://hdl.handle.net/11420/65718
Start Page
232
End Page
241
Citation
NordDesign 2026
Contribution to Conference
NordDesign 2026
Publisher DOI
10.35199/norddesign2026.25
Publisher
The Design Society
ISBN of container
978-1-912254-25-5
During product development, cognitive biases in the application of Reference Systems often cause costly rework. Analyzing seven critical incidents from a mechanical design project, this study identifies specific cognitive challenges. To counteract these, a Reflective Question Set (RQS) is derived. Acting as a heuristic "mental anchor" during complex tasks, the RQS triggers proactive validation to minimize late-stage engineering errors. An initial evaluation confirms its theoretical value and outlines the need for situational integration into the workflow.
DDC Class
005: Computer Programming, Programs, Data and Security
620: Engineering
TUHH
Weiterführende Links
  • Contact
  • Send Feedback
  • Cookie settings
  • Privacy policy
  • Impress
DSpace Software

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science
Design by effective webwork GmbH

  • Deutsche NationalbibliothekDeutsche Nationalbibliothek
  • ORCiD Member OrganizationORCiD Member Organization
  • DataCiteDataCite
  • Re3DataRe3Data
  • OpenDOAROpenDOAR
  • OpenAireOpenAire
  • BASE Bielefeld Academic Search EngineBASE Bielefeld Academic Search Engine
Feedback