Decision modeling for a target acquisition task

2000 ◽  
Vol 39 (9) ◽  
pp. 2581 ◽  
Author(s):  
Masha Maltz
Keyword(s):  
Decision Modeling ◽  
Target Acquisition ◽  
Acquisition Task

Differential Effects of ‘Noise’ Stress and Workload on Salience and Hemispace Bias in a Screen-Based Target Acquisition Task

1995 ◽  
Vol 39 (13) ◽  
pp. 864-867
Author(s):  
Alan F. Stokes ◽  
James A. Pharmer ◽  
Aysenil Belger
Keyword(s):  
Individual Differences ◽  
Stress Condition ◽  
Target Selection ◽  
Attentional Biases ◽  
Target Acquisition ◽  
Differential Effects ◽  
Noise Stress ◽  
Acquisition Task ◽  
High Bias ◽  
Related Stress

Attentional biases in stressed or overworked radar operators (airborne or in Combat Information Centers, etc.) may have important operational implications. This study examined the effects of workload and non-workload-related stress on salience bias in a screen-based target selection and engagement task. Results in the control condition confirmed that appreciable baseline salience bias existed. Moreover, in the non-task-related stress condition (noise/anxiety), a significant increase in salience bias was observed. Elevated workload, in contrast, was associated with no significant changes in salience bias. Overall, the results showed stable individual differences in salience bias and suggested that non-workload related stress influenced ‘high bias’ individuals proportionately more than ‘low bias’ individuals-an outcome with potential implications for selection. Subjects were also significantly biased toward the left hemispace, a powerful effect that remained even after the experiment was repeated using subjects’ left instead of right hands.

Development of a Control Theoretic Alternative to Fitts’ Law With Application to In-Vehicle Touchscreen Interface

2015 ◽  
Author(s):  
Chao Wang ◽  
Bahram Ravani
Keyword(s):  
Physical Interpretation ◽  
Model Identification ◽  
Human Operator ◽  
Target Acquisition ◽  
Relative Movement ◽  
Brief Treatment ◽  
Fitts Law ◽  
Proposed Model ◽  
Acquisition Task

A control theoretic alternative to Fitts’ Law based on a modified crossover model is proposed. A physical interpretation of the model offers the unification of various different formulations of Fitts’ Law. Model identification and validation is carried out for a target acquisition task using a touchscreen. A brief treatment of noise generated by random relative movement between the human operator and the touchscreen (such as in-vehicle touchscreen based devices) is considered using the proposed model.

Combined 3-D auditory-visual cueing for a visual target acquisition task

2007 ◽  
Author(s):  
Rachael L. Westergren ◽  
Paul R. Havig ◽  
Eric L. Heft
Keyword(s):  
Visual Target ◽  
Target Acquisition ◽  
Visual Cueing ◽  
Acquisition Task

A Finite-State Description of Coordination in a Two-Handed Target Acquisition Task

1982 ◽  
Vol 12 (4) ◽  
pp. 529-538 ◽  
Author(s):  
Richard A. Miller ◽  
Richard J. Jagacinski ◽  
Rajendra B. Nalavade ◽  
Walter W. Johnson
Keyword(s):  
Target Acquisition ◽  
Finite State ◽  
Acquisition Task

Eye Movements in Search and Target Acquisition

1993 ◽  
Vol 37 (19) ◽  
pp. 1305-1309
Author(s):  
Deborah P. Birkmire ◽  
Robert Karsh ◽  
B. Diane Barnette ◽  
Ramakrishna Pillalamarri ◽  
Samantha DiBastiani
Keyword(s):  
Eye Movements ◽  
Visual Attention ◽  
Target Acquisition ◽  
Regression Analyses ◽  
Video Images ◽  
Eye Fixations ◽  
Fixation Durations ◽  
Acquisition Task ◽  
Global And Local ◽  
Different Levels

The frequency distribution of eye fixations and fixation durations during a search and target acquisition task was examined to determine if the allocation of visual attention was related to target, scene, and/or observer characteristics. Ninety computer-generated scenes simulating infrared imagery and containing different levels of clutter and zero, one, two, or three targets were produced. Targets were embedded in these scenes counterbalancing for range and position. Global and local clutter were measured using both statistical variance and probability of edge metrics. Thirty-three aviators, tankers, and infantry soldiers were shown still video images of the 90 scenes and were instructed to search for targets. Results of multiple regression analyses of global clutter, local clutter, range, number of targets, target dimensions, target complexity, and group membershi on eye fixations and fixation durations are given and discussed in terms of search strategies.

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