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Automation users often disagree with diagnostic aids that are imperfectly reliable. The extent to which users' agreements with an aid are anchored to their personal, self-generated diagnoses was explored. Participants (N = 75) performed 200 trials in which they diagnosed pump failures using an imperfectly reliable automated aid. One group (nonforced anchor, n = 50) provided diagnoses only after consulting the aid. Another group (forced anchor, n = 25) provided diagnoses both before and after receiving feedback from the aid. Within the nonforced anchor group, participants' self-reported tendency to prediagnose system failures significantly predicted their tendency to disagree with the aid, revealing a cognitive anchoring effect. Agreement rates of participants in the forced anchor group indicated that public commitment to a diagnosis did not strengthen this effect. Potential applications include the development of methods for reducing cognitive anchoring effects and improving automation utilization in high-risk domains.
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Madhavan et al. (2005) studied this question.
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