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Exploratory study examines expert support perceptions in early design for additive manufacturing, suggesting requirements for trustworthy AI systems.
This exploratory study examines what forms of expert support DfAM novices need and how they perceive AI-based expert systems. The results show that cognitive orientation, transparent communication and reliable information are most valued, while social or emotional expert attributes play a minor role. The study derives requirements for explainable, trustworthy AI support tailored to the early needs of DfAM.
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Bahr et al. (2026) studied this question.
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