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As AI-powered code generation tools such as GitHub Copilot become popular, it is crucial to understand software developers' trust in AI tools -- a key factor for tool adoption and responsible usage.
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OpenAI Codex
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To Trust or to Think: Cognitive Forcing Functions Can Reduce Overreliance on AI in AI-assisted Decision-making
Zana Buçinca, Maja Barbara Malaya, and Krzysztof Z. Gajos. 2021 · 2021
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Inferring Trust From Users’ Behaviours; Agents’ Predictability Positively Affects Trust, Task Performance and Cognitive Load in Human-Agent Real-Time Collaboration
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AI-Driven Development Is Here: Should You Worry?
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Capable but Amoral? Comparing AI and Human Expert Collaboration in Ethical Decision Making. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (CHI ’22) . Association for Computing Machinery, New York, NY, USA, 1–17
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Expectation vs. Experience: Evaluating the Usability of Code Generation Tools Powered by Large Language Models. In Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems (CHI EA ’22) . Association for Computing Machinery, New York, NY, USA, 1–7
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AI Assistant for software developers | Tabnine
2023 · 2023
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GitHub Copilot · Your AI pair programmer
2023 · 2023
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Taking Flight with Copilot: Early insights and opportunities of AI-powered pair-programming tools
Christian Bird, Denae Ford, Thomas Zimmermann, Nicole Forsgren, Eirini Kalliamvakou, Travis Lowdermilk, and Idan Gazit. 2023 · 2023
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Humans, AI, and Context: Understanding End-Users’ Trust in a Real-World Computer Vision Application. In Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency (FAccT ’23) . Association for Computing Machinery, New York, NY, USA, 77–88
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Beyond ChatBots: ExploreLLM for Structured Thoughts and Personalized Model Responses
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Integrity Based Explanations for Fostering Appropriate Trust in AI Agents
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Why Johnny can’t prompt: how non-AI experts try (and fail) to design LLM prompts. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems . 1–21
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“It would work for me too”: How Online Communities Shape Software Developers’ Trust in AI-Powered Code Generation Tools
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Jenny T Liang, Chenyang Yang, and Brad A Myers. 2024 · 2024
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