Modeling Fault Diagnosis in a Dynamic Process Control Task Using a Multivariate Lens Model

Jha, Pratik; Bisantz, Ann M.

doi:10.1177/154193120104500432

Cited by 6 publications

(6 citation statements)

References 6 publications

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“…The lens model and its extensions have been widely applied to a variety of domains such as dynamic judgment tasks [2,1], social policy making [15,3,10,14,25], reservoir control [19], judgments about the reading achievements of children [8], weather forecasting [27], educational judgments [9], and decisions to purchase goods [28].…”

Section: Applications Of the Lens Model Approachmentioning

confidence: 99%

Differentiation of bites of venomous snakes in Taiwan using the lens model approach

Lin¹,

Hsu²

2013

Journal of Industrial and Production Engineering

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Because the signs and symptoms exhibited after bites of Taiwan's six most common venomous snakes are confusing and inconsistent, rapid and accurate judgment of these snake bites is difficult. We developed a decision-support system using the lens model approach to distinguish snake bites. The occurrence rates of the nine most commonly exhibited signs and symptoms of seven snake bite categories reported in the literature were utilized to generate simulated snake bite cases for training and testing the models. The developed models effectively predicted the bites of Vipera russelli formosensis (discriminability index (d′) = 4.84) and Bungarus multicinctus (d′ = 4.01), but poorly predicted the bites of Naja naja atra, Trimeresurus mucrosquamatus, and undefined snake (d′ < 1.4). This study demonstrates the potential of the lens model approach in differentiating bites among the six venomous snakes. Future research should include empirical data with more clinical information to enhance model performance.

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Section: Applications Of the Lens Model Approachmentioning

confidence: 99%

Differentiation of bites of venomous snakes in Taiwan using the lens model approach

Lin¹,

Hsu²

2013

Journal of Industrial and Production Engineering

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“…This could be of critical importance in UAV tasks executed under high time pressure. For UAV operators, uncertainty causes the decision making a challenging dynamic task (Jha & Bisantz, ). The decision‐making tasks involve a recognition process, where decisions are made based on previous experience and occur in real time.…”

Section: Introductionmentioning

confidence: 99%

The Effects of System Reliability and Task Uncertainty on Autonomous Unmanned Aerial Vehicle Operator Performance under High Time Pressure

2014

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This study examined the effects of system reliability and task uncertainty on unmanned aerial vehicle (UAV) operator performance for the patrol and target recognition tasks. The primary task was image processing that entailed differentiating between targets and distracters, making necessary changes to the identifications provided by the automation, and processing images accurately within a 5‐s window. There were also 3 secondary tasks that are typical of UAV operations to which the participants had to respond as quickly as possible. Operator performance was measured as target image processing accuracy and image processing time as in the primary task and three secondary tasks. A 2 × 2 within‐subject design was used to assess the effects of reliability and target uncertainty. Both factors were found to be significant for primary task image processing time. In contrast, accuracy was not found to be significantly affected by either one of the independent variables.

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“…It has also been used in the past for analyzing judgment that are related to situations of interpersonal conflict (Brehmer, 1976). Recently efforts have been made to apply it into more dynamic environments like command and control (Bisantz et al, 2000), fault categorization and diagnosis in process control (Jha, 2001) and aircraft collision avoidance (Pritchett and Bisantz, 2002). In particular, in the latter study, the Lens Model was used to compare judgments made by different automated and human agents, using parameters from the Lens model to characterize differences among the judgment policies.…”

Section: Introductionmentioning

confidence: 99%

Through the Lens: A New Approach to Decision Modeling under Free Flight

Jha

Bisantz

Parasuraman

2003

Proceedings of the Human Factors and Ergonomics Society Annual

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Air traffic management (ATM) concepts of the future are committed towards significantly enhancing the capacity and making flying even safer. Since, these new ATM concepts will change the roles and responsibilities of pilots and the air traffic controllers, it is important that their impact on safety be evaluated. Many proposed schemes includes shifting the separation assurance function (maintaining safe distances between aircraft) to the cockpit from ground based air traffic control, and to assign a supervisory role to the air traffic controller, who would make decisions in exceptional cases. Some initial research in this direction has shown that controllers cannot intervene effectively without decision support tools like "conflict probes". Furthermore controllers and pilots have different strategies for resolving conflicts about separation and airspace. Accordingly, there is a need to better understand and classify the decision-making behavior of different agents in the future proposed ATM system. This paper presents a theoretical discussion outlining the application of the Lens Model of Brunswik to provide insight into some of the research questions posed in conflict detection and resolution by future ATM concepts. We illustrate the approach through an example case study.

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Modeling Fault Diagnosis in a Dynamic Process Control Task Using a Multivariate Lens Model

Cited by 6 publications

References 6 publications

Differentiation of bites of venomous snakes in Taiwan using the lens model approach

Differentiation of bites of venomous snakes in Taiwan using the lens model approach

The Effects of System Reliability and Task Uncertainty on Autonomous Unmanned Aerial Vehicle Operator Performance under High Time Pressure

Through the Lens: A New Approach to Decision Modeling under Free Flight

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