mlsanityData to 7 Oct 2026

Trust in Construction AI-Powered Collaborative Robots: A Qualitative Empirical Analysis

arXiv 2308.14846 ↗First posted 28 Aug 2023cs.HC cs.AI cs.ROcited by 1

Not on the map. Why?

Abstract (arXiv)

Construction technology researchers and forward-thinking companies are experimenting with collaborative robots (aka cobots), powered by artificial intelligence (AI), to explore various automation scenarios as part of the digital transformation of the industry. Intelligent cobots are expected to be the dominant type of robots in the future of work in construction. However, the black-box nature of AI-powered cobots and unknown technical and psychological aspects of introducing them to job sites are precursors to trust challenges. By analyzing the results of semi-structured interviews with construction practitioners using grounded theory, this paper investigates the characteristics of trustworthy AI-powered cobots in construction. The study found that while the key trust factors identified in a systematic literature review -- conducted previously by the authors -- resonated with the field experts and end users, other factors such as financial considerations and the uncertainty associated with change were also significant barriers against trusting AI-powered cobots in construction.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 1 of its 15 references that are in the map. First posted on arXiv 28 Aug 2023.

Builds on

1 of 15 references.

References · 1

  1. 2022Trust in AI and Implications for the AEC Research: A Literature Analysiscited by 4

Built on by

Cited by year

Citing papers per year: 2023: 1.

1 paper.