The Turing effect: the nature of trust in expert systems advice

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Trust in Automation (2015, background): “Numerous studies have shown that people display a tendency to trust automation more when it is portrayed as a reputable or “expert” system (de Vries & Midden, 2008; Lerch et al., 1997; Madhavan & Wiegmann, 2007a; Spain, 2009).”
Designs for explaining intelligent agents (2009, background): “This level of tool knowledge is required to achieve the trust and credibility that are prerequisites for effective intelligent system use (Lerch et al., 1997).”
Effects of Information Source, Pedigree, and Reliability on Operator Interaction With Decision Support Systems (2007, background): “Lerch, Prietula, and Kulik (1997) had participants interact with either an “expert” or a “novice” human adviser pitted against an automated aid.”
Similarities and differences between human–human and human–automation trust: an integrative review (2007, methodology): “On the whole, the findings by Lerch et al. (1997) revealed that (1) participants had lower confidence in advice from an expert system than from a human expert, (2) participants rated ‘effort’ as contributing less to the performance of an expert system than a human expert and (3) while human…”