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Automation

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Testing The Lumberjack Analogy: Automation, Situational Awareness, And Mental Workload, Justin W. Morgan Jan 2022

Testing The Lumberjack Analogy: Automation, Situational Awareness, And Mental Workload, Justin W. Morgan

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This study examines the effects of automation on the human user of that automation. Automation has been shown to produce a variety of benefits to employees in terms of performance and a reduction of workload, but research in this area indicates that this might be at the cost of situational awareness. This loss of situational awareness is thought to lead to “out-of-the-loop” performance effects. One way this set of effects has been explained is through the “lumberjack” analogy, which suggests these effects are related to degree of automation and automation failure. This study recreates the effects of automation on mental …


Capturing Intentional Testing Of An Automated System, Abraham Haskins Jan 2021

Capturing Intentional Testing Of An Automated System, Abraham Haskins

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Users change their behavior when interacting with automated systems based upon their trust levels. Users faced with an unknown system will adjust their trust levels as they learn more about that system. Past automation trust research has implicitly assumed that users are passive recipients of information when interacting with new systems. Feedback-seeking behavior, a pattern of behavior involving actively eliciting information about one’s performance, is a well-researched concept within interpersonal research. Applying this interpersonal research to the domain of automation, I examined cases in which individuals sought feedback regarding the reliability of an unfamiliar automated system by asking for answers …


An Interaction Between Anthropomorphism And Personality On Trust In Automated Systems, Abraham Haskins Jan 2021

An Interaction Between Anthropomorphism And Personality On Trust In Automated Systems, Abraham Haskins

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Automated assistance is increasingly being implemented in domains ranging from healthcare to transportation. The reason for the tendency for certain users to trust or mistrust automated assistance has been studied to mixed effect. I examined the effect of anthropomorphism as an independent factor on user trust. In addition, I examined the potential for anthropomorphism to act as a moderator between the personality traits of a user and the trust a user demonstrates in the automated aid. Though the participants in the anthropomorphic condition did view the assistant as more human-like, the level of anthropomorphism had no effect on user behavior. …


Measurement Of The Propensity To Trust Automation, Sarah Ann Jessup Jan 2018

Measurement Of The Propensity To Trust Automation, Sarah Ann Jessup

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Few studies have examined how propensity to trust in automation influences trust behaviors, those which indicate users are relying on automation. Of the published studies, there are inconsistencies in how propensity to trust automation is conceptualized and thus measured. Research on attitudes and intentions has discerned that reliability and validity of measures can be increased by using more direct and specific language, which reduces ambiguity and increases the ability to predict behavior. This study examined how traditional measures of propensity to trust automation could be adapted to predict whether automation is deemed as trustworthy (perceived trustworthiness) and whether people behave …


Changes In State Suspicion Across Time: An Examination Of Dynamic Effects, Steve Khazon Jan 2016

Changes In State Suspicion Across Time: An Examination Of Dynamic Effects, Steve Khazon

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State Information Technology (IT) suspicion is the simultaneous action of uncertainty, mal-intent, and cognitive activity about underlying information that is being electronically generated, collated, sent, analyzed, or implemented by an external agent (Bobko, Barelka, & Hirshfield, 2014). Understanding IT suspicion is important in both military and civilian contexts as both are growing increasingly reliant on automation to augment human performance (e.g., Lenhart, Purcell, Smith, & Zickuhr, 2010). The current process model of state IT suspicion describes how suspicion arises and its immediate correlates. Little is known about how suspicion changes over time and what factors influence this change. Drawing upon …