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

arXiv: https://arxiv.org/abs/2308.14846 · HTML: https://mlsanity.com/paper/2308.14846/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 1 of its 15 references that are in the map.
- First posted on arXiv 28 Aug 2023.

## Builds on (most cited first, 1 of 1)

- [Trust in AI and Implications for the AEC Research: A Literature Analysis](https://mlsanity.com/paper/2203.03847/) (2022)

## Built on by (most cited first, 1 of 1)

- [A Survey of Large Language Models in Medicine: Progress, Application, and Challenge](https://mlsanity.com/paper/2311.05112/) (2023)

## 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.