Application of Hermeneutics to Studying An Experience Mining Process

Abstract

In this paper we investigate an approach to eliciting practitioners’ problem-solving experience across an application domain. The approach is based on a well-known ‘pattern mining’ process which commonly results in a collection of sharable and reusable ‘design patterns’. While pattern mining has been recognised to work effectively in numerous domains, its main problem is the degree of technical proficiency that few domain practitioners are prepared to master. In our approach to pattern mining, patterns are induced indirectly from designers’ experience, as determined by analysing their past projects, the problems encountered and solutions applied in problem rectification. Through the cycles of hermeneutic revisions, the pattern mining process has been refined and ultimately its deficiencies addressed. The hermeneutic method used in the study has been clearly shown in the paper and illustrated with examples drawn from the multimedia domain. The resulting approach to experience elicitation provided opportunities for active participation of multimedia practitioners in capturing and sharing their design experience.

A hermeneutic interpretation of a controlled laboratory experiment: a case study of decision‐making with a group support system

“…Using ProQuest/ABI‐Inform and Academic Search Complete, a search of the Association for Information Systems' ‘basket’ of top journals reveals just 12 articles for which the term ‘hermeneut*’ appears in the title or abstract: Butler (1998); Butler & Murphy (2007); Chalmers (2004); Cole & Avison (2007); Dickey et al . (2007); Huang & Watson (1998); Klecun‐Dabrowska & Cornford (2000); Lee (1994a); Linden & Cybulski (2009); Tingling & Parent (2004); Whitley (1999); and Zahedi et al . (2006).…”

Analyzing the Key Drivers of Contractors’ Temporary Competitive Advantage in the Competition of International High-speed Rail Projects

“…The first component is named as experience-mining advantage, which was the most significant factor of contractors' TCA. Experience mining means that the company collects instances of past experiences as well as useful knowledge from consortium members, and stores them in the experience database for use, making themselves more competitive in the HSR market (Linden et al, 2009;Shen et al, 2013). It was described by seven sub-criteria, among which the more important factors included: coordination ability (weight of relative importance at 16.76%), past performance and experience (15.86%), and knowledge transfer (14.57%).…”