The effects of errors on system trust, self-confidence, and the allocation of control in route planning

Vries, Pieter Walter de; Midden, C.J.H.; Bouwhuis, D.G.

doi:10.1016/s1071-5819(03)00039-9

Cited by 204 publications

(138 citation statements)

References 9 publications

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“…Furthermore, cue ambiguity plays an important role as the pilots know neither whether the cues are reliable nor what will happen next. Experiments in several domains have shown that a system's high reliability and low error rate strengthen trust in the system and vice versa (Dzindolet et al, 2003;Moray et al, 2000;Vries et al, 2003;Yeh and Wickens, 2001). Weakened operator trust can lead to system disuse (Muir, 1987) or nonrespondence, especially when the unreliability of warning systems results in false alarms or misses (Manzey et al, 2014).…”

Section: Research Questionsmentioning

confidence: 99%

Are pilots prepared for a cyber-attack? A human factors approach to the experimental evaluation of pilots' behavior

Gontar

Homans

Rostalski

et al. 2018

Journal of Air Transport Management

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A B S T R A C TThe increasing prevalence of technology in modern airliners brings not just advantages, but also the potential for cyber threats. Fortunately, there have been no significant attacks on civil aircraft to date, which allows the handling of these emerging threats to be approached proactively. Although an ample body of research into technical defense strategies exists, current research neglects to take the human operator into account. In this study, we present an exploratory experiment focusing on pilots confronted with a cyber-attack. Results show that the occurrence of an attack affects all dependent variables: pilots' workload, trust, eye-movements, and behavior. Pilots experiencing an attack report heavier workload and weakened trust in the system than pilots whose aircraft is not under attack. Further, pilots who experienced an attack monitored basic flying instruments less and their performance deteriorated. A warning about a potential attack seems to moderate several of those effects. Our analysis prompts us to recommend incorporating cyber-awareness into pilots' recurrent training; we also argue that one has to consider all affected personnel when designing such training. Future research should target the development of appropriate procedures and training techniques to prepare pilots to correctly identify and respond to cyber-attacks.

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Section: Research Questionsmentioning

confidence: 99%

Are pilots prepared for a cyber-attack? A human factors approach to the experimental evaluation of pilots' behavior

Gontar

Homans

Rostalski

et al. 2018

Journal of Air Transport Management

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“…Subjective measures of the trust of human operators in a computer tool have been found to be highly predictive of people's frequency of use of the tool [5,30]. Use of automation (or reliance in its generic sense) is usually assessed with observations of the proportion of times during which a device is used by operators or by assessing the probability of operators' detecting automation failures [19].…”

Section: Automation Bias Complacency and Trustmentioning

confidence: 99%

“…Factors that have been investigated in empirical studies as possible influences in people's trust in automation include: people's exposure to automation errors [5,30,31], the consistency of the tool's reliability [16,32], the invasiveness or intrusiveness of the tool's advice [33,34].…”

Section: Automation Bias Complacency and Trustmentioning

confidence: 99%

Why Are People’s Decisions Sometimes Worse with Computer Support?

Alberdi

Strigini

Povyakalo

et al. 2009

Lecture Notes in Computer Science

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This is the unspecified version of the paper.This version of the publication may differ from the final published version. Abstract. In many applications of computerised decision support, a recognised source of undesired outcomes is operators' apparent over-reliance on automation. For instance, an operator may fail to react to a potentially dangerous situation because a computer fails to generate an alarm. However, the very use of terms like "over-reliance" betrays possible misunderstandings of these phenomena and their causes, which may lead to ineffective corrective action. For instance, training or procedural changes are favored responses, but they do not address all causes of apparently "over-reliant" behaviour. We review relevant literature in the area of "automation bias" and describe the diverse mechanisms that may be involved in human errors when using computer support. We discuss these mechanisms, with reference to errors of omission when using "alerting systems", with the help of examples of novel counterintuitive findings we obtained from a case study in a health care application, as well as other examples from the literature. Permanent repository link

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“…On the contrary, if operators are more confident in their own abilities than they trust the automation, then they will likely choose manual control. Empirical evidence for this was found in a number of studies (e.g., De Vries, Midden, & Bouwhuis, 2003;Lee & Moray, 1992, 1994Lewandowsky, Mundy, & Tan, 2000). Riley's model also accounts -although not very detailed -for the influence of operator states (fatigue) on reliance and the time dynamics influencing the relation between trust and reliance.…”

Section: Theoretical Approaches To Reliance On Automationmentioning

confidence: 98%

Drivers’ Reliance on Lane-Keeping Assistance Systems as a Function of the Level of Assistance

Popken

Krems

2015

Z. Arb. Wiss.

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The effects of errors on system trust, self-confidence, and the allocation of control in route planning

Cited by 204 publications

References 9 publications

Are pilots prepared for a cyber-attack? A human factors approach to the experimental evaluation of pilots' behavior

Are pilots prepared for a cyber-attack? A human factors approach to the experimental evaluation of pilots' behavior

Why Are People’s Decisions Sometimes Worse with Computer Support?

Drivers’ Reliance on Lane-Keeping Assistance Systems as a Function of the Level of Assistance

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