Adapting the 3S-model for investigating trust in Automated Rule Checking systems in the Danish construction industry

Dean Garcia, Dániel Lehoczky, Peter Nørkjær Gade

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

Automated solutions to building compliance checking has been slow in its implementation in the Danish construction industry. Mainly socio-technical barriers, such as trust in automation challenge the spread of technological advances from research and development. This paper studies the trust relationship of Architectural, Engineering, and Construction (AEC) professionals towards Automated Rule Checking (ARC) systems in Denmark. The 3S-model from the field of cognitive psychology was employed to help understanding the varying ways people assess information credibility. Three hypotheses were tested through experimentation to investigate the significance of different information features, and pertaining user characteristics on human-automation trust behaviors in the domain of ARC. Although the highly specified research area targeted a relatively small demographic within the Danish construction industry, the findings present an interesting new perspective on the common characteristics and trust behaviors of the end user. With the refinement of the framework’s application, the 3S-model can elucidate the many factors that are believed to influence technology acceptance within the industry. This research aims to contribute to the development of ARC solutions with a front-end viewpoint on trustworthiness.
Original languageEnglish
JournalJournal of Information Technology in Construction
ISSN1874-4753
DOIs
Publication statusPublished - 23 Nov 2022

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