Surrogates and mappings: two kinds of conceptual models for interactive

By R. Young. 1983

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Citations in the corpus

Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI (2019, neutral): “…Rouse and Morris, 1986; St-Cyr. and Burns, 2002; Wilkison, Fisk, and Rogers, 2007; Williams, Hollan, and Stevens, 1983; Wilson and Rutherford, 1989; Young, 2014; Zachary and Eggleston, 2002; Zhang and Wickens, 1987; Zovod, Rickert, and Brown, 2002 ) Especially pertinent to XAI are reports on…”
How Influential Are Mental Models on Interaction Performance? Exploring the Gap between Users' and Designers' Mental Models through a New Quantitative Method (2017, background): “Young [34] thought that mental models could explain user performance with the systems with which they interact.”
Factors Influencing Analysis of Complex Cognitive Tasks: A Framework and Example from Industrial Process Control (2000, background): “Reasoning about such complex physical systems is pervasive and important (Gentner & Stevens, 1983), given that it spans inquiry into domains as diverse as medicine (Kuipers & Kassirer, 1984), computer programming (Mayer & Bayman, 1981), engineering (Lind & Larsen, 1995), electronics (Lesgold & Lajoi”
Mental Models: Theory and Application in Human Factors (1989, background): “Thus we can find "users' conceptual models" (Moran, 1981; Young, 1983) or "conceptualizations" (Baggett and Ehrenfeucht, 1988), "device models" (Kieras and Bovair, 1984), and "naive theories" (McCloskey, 1983) or "folk theories" (Kempton, 1986).”
When scientific models represent (2003, methodology): “Young (1983) examines just such models—he calls them surrogate models—for using different types of calculators; the models “tell” their users which input produces the desired output, but a different model would be required for the different purpose of explaining how the calculator works inside.”
MENTAL MODELS IN HUMAN-COMPUTER INTERACTION (2010, background): “Gentner and Gentner (1983) studied naive subjects' deep inferencing based on different analogies of a target domain.”