The Design Thinking Methodology at Work: Semi-Automated Interactive Recovery

Joachim Hänsel () and Holger Giese ()
Additional contact information
Joachim Hänsel: Hasso Plattner Institute for Software Engineering
Holger Giese: Hasso Plattner Institute for Software Engineering

A chapter in Design Thinking Research, 2018, pp 347-364 from Springer

Abstract: Abstract The methodology of Design Thinking (DT) suggests a repertoire of methods and techniques that lead to different forms of the DT methodology in practice. Which methods and techniques have been employed is of special interest to stakeholders, such as project managers and researchers. However, the repertoire of these methods and techniques does not convey much concerning the order of employed methods and techniques in practice. Capturing the employed DT methodology is difficult, because the subjectively perceived and objectively employed DT methodology may differ. In our former work, we implemented recovery rules that successfully reconstructed the DT methodology from captured DT project documentation. Our qualitative evaluation shows that the methodology could be reconstructed without human intervention with a confidence of approx. 50–80%. However, in order to draw valid conclusions about DT methodologies use a higher level of confidence must be achieved. Therefore, to proceed from a qualitative to quantitative analysis of employed DT methodologies we extended our recovery approach to a semi-automated recovery approach to (a) increase the completeness and accuracy of the reconstructed methodology and (b) use insights gained during the semi-automated recovery to enhance the recovery rules. In this chapter, we report on our extended semi-automated recovery approach. As a preliminary result of our experiments, we conclude that our semi-automated interactive recovery approach can be employed to increase the completeness and accuracy of the reconstructed methodology. By using insights gained during the semi-automated recovery to enhance the recovery rules and therefore allow to proceed from a qualitative to quantitative analysis of used DT methodologies.

Date: 2018
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:undchp:978-3-319-60967-6_18

Ordering information: This item can be ordered from
http://www.springer.com/9783319609676

DOI: 10.1007/978-3-319-60967-6_18

Access Statistics for this chapter

More chapters in Understanding Innovation from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().