MENTAL MODELS IN HUMAN-COMPUTER INTERACTION

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AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts (2021, background): “These challenges may have been a side-effect of participants using pre-defined Chains, which may not necessarily reflect their own intuition of how they would have decomposed the task [18, 71].”
Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff (2019, background): “Prior seminal work explored the importance of mental models for achieving high performance in group work (Grosz and Kraus 1999), human-system collaboration (Rouse et al. 1992), and interface design (Carroll and Olson 1988).”
Understanding and Resolving Failures in Human-Robot Interaction: Literature Review and Model Development (2018, background): “Studies in the ﬁeld of HCI found that users infer models that are consistent with their experiences, even when there is lack of evidence that supports their assumptions (Payne, 2009).”
Beyond Accuracy: The Role of Mental Models in Human-AI Team Performance (2019, background): “Early work explored the importance of mental models for achieving high performance in group work (Grosz and Kraus 1999; Mohammed, Ferzandi, and Hamilton 2010), human-system collaboration (Rouse, Cannon-Bowers, and Salas 1992), and interface design (Carroll and Olson 1988).”