Work

Human-AI Collaboration in Coding: A Trust Perspective

Year: 2025

Type: article

Abstract: Generative AI (GenAI) is transforming software development and Computer Science (CS) education, raising critical questions about trust in human-AI collaboration. This paper examines trust in GenAI from interdisciplinary perspectives, assessing existing trust frameworks and their applicability. Seemingly contradictory definitions and approaches are discussed and a solution is presented that could resolve the contradictions. We explore how trust affects adoption in education and software development, reviewing measurement approaches and implications for calibrated trust. Our findings highlight the gap between theoretical trust and practical reliance, contributing to the discourse on AI usability and integration

Source: Technische Universität Berlin – Universitätsbibliothek

DOI: 10.14279/eceasst.v84.2679

Authors: Niemann, Sonja, Schmid, Ute

Institutions: Bavarian Research Institute for Digital Transformation, University of Bamberg

Language: English

Topic: Human-Automation Interaction and Safety

Subfield: Social Psychology

Field: Psychology

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W7105762399

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