Search Results for author: Newsha Emaminejad

Found 4 papers, 0 papers with code

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

no code implementations28 Aug 2023 Newsha Emaminejad, Reza Akhavian, Ph. D

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.

Assessing Trust in Construction AI-Powered Collaborative Robots using Structural Equation Modeling

no code implementations28 Aug 2023 Newsha Emaminejad, Lisa Kath, Reza Akhavian

This study aimed to investigate the key technical and psychological factors that impact the architecture, engineering, and construction (AEC) professionals' trust in collaborative robots (cobots) powered by artificial intelligence (AI).

Trust in AI and Implications for the AEC Research: A Literature Analysis

no code implementations8 Mar 2022 Newsha Emaminejad, Alexa Maria North, Reza Akhavian

Engendering trust in technically acceptable and psychologically embraceable systems requires domain-specific research to capture unique characteristics of the field of application.

Trustworthy AI and Robotics and the Implications for the AEC Industry: A Systematic Literature Review and Future Potentials

no code implementations27 Sep 2021 Newsha Emaminejad, Reza Akhavian

As the applications of artificial intelligence (AI) and robotics emerge and with their ever-growing socio-economic influence in various fields of research and practice, there is an imminent need to study trust in such systems.

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