Engineering: Academic Discipline — Prolific Citations Library

Explore 6 peer-reviewed papers in Engineering (2022–2025). Academic research using Prolific for high-quality human data collection.

This page lists 6 peer-reviewed papers in the discipline of Engineering in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (6 of 6)

Investigating the Role of Cultural Values in Adopting Large Language Models for Software Engineering

Authors: S Lambiase, G Catolino, F Palomba, F Ferrucci, D Russo

Year: 2025

Published in: ACM Transactions on Software Engineering and Methodology, 2025•dl.acm.org

Institution: University of Salerno, Aalborg University

Research Area: Technology Adoption, Software Engineering Practices, Socio-Technical Research

Discipline: Computer Science, Software Engineering, Human–Computer Interaction (HCI)

The study uses survey data from software professionals and Partial Least Squares Structural Equation Modeling (PLS-SEM) to measure the role of cultural values relative to established predictors like performance expectancy and habitual use in LLM adoption.

Citations: 11
Assessing trust in construction AI-powered collaborative robots using structural equation modeling

Authors: N Emaminejad, L Kath, R Akhavian

Year: 2024

Published in: Journal of Computing in Civil ..., 2024 - ascelibrary.org

Institution: San Diego State University

Research Area: Civil Engineering, Artificial Intelligence, Human-Robot Interaction

Discipline: Engineering

Trust in AI-powered collaborative robots (cobots) in construction is mainly influenced by safety, reliability, and transparency, while fear of job replacement can negatively impact mental health and adoption. Structural equation modeling highlights factors like error rates, data security, and communication as critical to fostering trust among AEC professionals.

Methods: Nationwide survey of AEC professionals analyzed using structural equation modeling (SEM) to assess trust determinants for AI-powered cobots.

Key Findings: Technical and psychological factors influencing trust in AI-powered cobots, including safety, reliability, error rate, data security, and communication transparency.

Citations: 22

Sample Size: 600
Are You a Real Software Engineer? Best Practices in Online Recruitment for Software Engineering Studies

Authors: A Alami, M Zahedi, N Ernst

Year: 2024

Published in: ArXiv

Institution: Aalborg University, University of Melbourne, University of Victoria

Research Area: Software Engineering, Online Recruitment, Human-AI Interaction

Discipline: Software Engineering

This empirical study investigates the contribution of Pretrained Language Models (PLMs), such as BERT and RoBERTa, to various components of multi-hop Question Answering (QA) tasks, focusing on evidence extraction and information aggregation.

Citations: 14
Learning to prioritize the public good: Does training in classes, workplaces, and professional societies shape engineers' understanding of their public welfare responsibilities?

Authors: Erin A. Cech, Cynthia J. Finelli

Year: 2024

Published in: Wiley

Institution: University of Michigan

Research Area: Engineering Ethics, Professional Responsibility, Public Welfare

Discipline: Engineering Education Research
Software engineering user study recruitment on Prolific: An experience report

Authors: B Reid, M Wagner, M d'Amorim, C Treude

Year: 2022

Published in: arXiv preprint arXiv ..., 2022 - arxiv.org

Institution: University of Sydney, Queen's University, University of Victoria, University of Calgary

Research Area: Software Engineering User Studies, Crowdsourcing Platforms (Prolific)

Discipline: Software Engineering, Human-Computer Interaction (HCI)

Citations: 35
Recruiting software engineers on prolific

Authors: D Russo

Year: 2022

Published in: arXiv preprint arXiv:2203.14695, 2022 - arxiv.org

Institution: Università della Svizzera italiana

Research Area: Crowdsourcing, Software Engineering Research, Participant Recruitment

Discipline: Software Engineering

Citations: 30