User Centered Design Strategies for Improving Visualization of Sensor Data in Rotorcraft Cockpit Displays for Degraded Visual Environment Operations

Davis, Bradley Moore; Dickerson, Kelly; Gillmore, Samineh C.

doi:10.1007/978-3-030-19135-1_13

Cited by 4 publications

(7 citation statements)

References 3 publications

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“…The flight symbology information layer comments received a higher sentiment score than both the lidar visualization and a priori obstacles. This is also reflected in Davis et al (2019) as pilots rated symbology as the most important element and all pilots chose to turn symbology on.…”

Section: Discussionmentioning

confidence: 98%

“…One surprising finding was that the lidar visualization did not score significantly lower in sentiment than the other information layers, however, participants ranked lidar last in the overall preference survey as reported by Davis et al, (2019). The disparity between the sentiment score and the preference rank order may result from VADER's specific development for sentiments expressed in social media.…”

Section: Limitationsmentioning

confidence: 95%

“…Pilot participants had a mean of 4465 flight hours, and all participants had at least 10 hours of previous heads up display experience. Pilots were representative of the distribution of airframes in the U.S. Army inventory (Gordon et al, 2016) and included UH-60 Black Hawk, CH-47 Chinook, AH-64 Apache, and OH-58 Kiowa Warrior. For a full breakdown of pilot demographics, see Davis et al, 2019. Participants were guided through a design session where they selected an option from a set of predetermined options while watching a playback of pre-recorded flight data.…”

Section: Methodsmentioning

confidence: 99%

“…Pilots were representative of the distribution of airframes in the U.S. Army inventory (Gordon et al, 2016) and included UH-60 Black Hawk, CH-47 Chinook, AH-64 Apache, and OH-58 Kiowa Warrior. For a full breakdown of pilot demographics, see Davis et al, 2019. Participants were guided through a design session where they selected an option from a set of predetermined options while watching a playback of pre-recorded flight data. The layers were added on to the previously selected choice in the following order: Symbology, Terrain, Lidar, and Obstacles.…”

Section: Methodsmentioning

confidence: 99%

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Sentiment Analysis of Participant Comments in a User Centered Design Study for Degraded Visual Environment Sensor Visualization

Davis

Gillmore²,

Millard

2020

Proceedings of the Human Factors and Ergonomics Society Annual

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Several methodologies in user centered research lead to the collection of large amounts of comments about a product or system. The growth of social media research has led to the development of sentiment analysis algorithms that computationally analyze the meaning of text. This paper utilized the Valence Aware Dictionary for sEntiment Reasoning (VADER) sentiment analysis technique to assess comments from a user centered design study for a rotorcraft degraded visual environment mitigation system. The sentiment analysis findings mirror results from the other measures of the user centered design study. This paper supports the use of sentiment analysis for large volumes of comment data from user centered design studies.

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Section: Discussionmentioning

confidence: 98%

Section: Limitationsmentioning

confidence: 95%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Sentiment Analysis of Participant Comments in a User Centered Design Study for Degraded Visual Environment Sensor Visualization

Davis

Gillmore²,

Millard

2020

Proceedings of the Human Factors and Ergonomics Society Annual

Self Cite

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“…This perceptually uniform color method has been used when it comes to data visualization. Davis, Dickerson, & Gillmore (2019) used this method in their user centered design study. For this study, 28 representative users were recruited to evaluate the Multi-modal Sensor Fusion (MMSF) engine developed by Lockheed Martin.…”

Section: Discussionmentioning

confidence: 99%

Method to Create Perceptually Uniform Color Gradients with Optimized Color Differences between each Step for Data Visualization

Millard

Davis

Gillmore

2020

Proceedings of the Human Factors and Ergonomics Society Annual

Self Cite

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This paper presents an original method to create optimized color differences between each step of a CIELAB perceptually uniform color gradient. The relevant equations for the necessary color space transformations are discussed, along with the procedure to determine and optimize the color differences between each gradient step. A specific implementation for perceptually uniform color gradients is discussed for safe terrain clearance in manned aviation during a degraded visual environment.

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Multi-agent modelling and situational awareness analysis of human-computer interaction in the aircraft cockpit: A case study

Zhang

Sun

Zhang

et al. 2021

Simulation Modelling Practice and Theory

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User Centered Design Strategies for Improving Visualization of Sensor Data in Rotorcraft Cockpit Displays for Degraded Visual Environment Operations

Cited by 4 publications

References 3 publications

Sentiment Analysis of Participant Comments in a User Centered Design Study for Degraded Visual Environment Sensor Visualization

Sentiment Analysis of Participant Comments in a User Centered Design Study for Degraded Visual Environment Sensor Visualization

Method to Create Perceptually Uniform Color Gradients with Optimized Color Differences between each Step for Data Visualization

Multi-agent modelling and situational awareness analysis of human-computer interaction in the aircraft cockpit: A case study

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