Assessing target search performance: the free-response operator characteristic model

2004 ◽  
Vol 43 (12) ◽  
pp. 2926 ◽  
Author(s):  
John M. Irvine
Keyword(s):  
Search Performance ◽  
Free Response ◽  
Target Search ◽  
Characteristic Model ◽  
Response Operator

Inhibitory Control Differentiates Rare Target Search Performance in Children

2012 ◽  
Vol 114 (1) ◽  
pp. 339-351
Author(s):  
Hongting Li ◽  
Sui-Yin Cheung ◽  
John S-Y. Chan ◽  
Jin H. Yan
Keyword(s):  
Inhibitory Control ◽  
Search Performance ◽  
Target Search

scholarly journals Interactions between Reward, Feedback, and Timing Structures on Dual-Target Search Performance

2011 ◽  
Vol 11 (11) ◽  
pp. 207-207 ◽  
Author(s):  
K. Clark ◽  
M. S. Cain ◽  
R. A. Adcock ◽  
S. R. Mitroff
Keyword(s):  
Search Performance ◽  
Target Search ◽  
Dual Target

Single Line Display Menu

1995 ◽  
Vol 39 (5) ◽  
pp. 306-310 ◽  
Author(s):  
Sung H. Han ◽  
Jiyoung Kwahk
Keyword(s):  
Search Task ◽  
Design Guidelines ◽  
Consumer Products ◽  
User Preference ◽  
Single Line ◽  
Search Performance ◽  
Target Search ◽  
Search Tasks ◽  
Single Target ◽  
Speed Accuracy

Many electronic consumer products use a single line display which is capable of presenting a limited number of characters at a time. Although many design guidelines have been proposed, they are applicable only to the menus on ordinary CRT displays. This study examined the effects of four different variables: menu structure, user experience, navigation aid, and number of target items on designing the menu on a single line display. Four dependent measures, speed, accuracy, efficiency, and user preference of a target search task, were collected. The results showed that the 82 structure turned out to be an optimal menu structure for single-line display menus. The navigation aid improved the search performance of the inexperienced. Interestingly, multiple target search tasks recorded a better performance than single target search tasks. Based on the results, design implications were discussed.

scholarly journals Analysis of factors affecting the speed of probabilistic target search using unmanned aerial vehicles

2019 ◽  
Vol 15 (9) ◽  
pp. 155014771987761
Author(s):  
Il-Kyu Ha ◽  
You-Ze Cho
Keyword(s):  
False Alarm ◽  
Unmanned Aerial Vehicles ◽  
Unmanned Aerial Vehicle ◽  
Search Performance ◽  
Data Set ◽  
Target Search ◽  
Factors Affecting ◽  
Aerial Vehicles ◽  
Detection Probabilities ◽  
Aerial Vehicle

When searching for targets using unmanned aerial vehicles, speed is important for many applications such as the discovery of patients in a medical emergency. The speed of operation of actual unmanned aerial vehicles is strongly related to the performance of the camera sensor used for target recognition, search altitude, and the search algorithm employed by the unmanned aerial vehicle. In this study, the major factors affecting the speed of a probabilistic unmanned aerial vehicle target search are analyzed. In particular, simulations are performed to analyze the influence of the search altitude, sensor false alarm rate, and sensor missed detection rate on the required travel distance and the time required for a search. Furthermore, the search performance of an unmanned aerial vehicle is analyzed by varying the search altitude with fixed false alarm and missed detection probabilities. The simulation results show that the search performance is significantly affected by changes in the false alarm and missed detection probabilities of the sensor, and it confirms that the effect of the missed detection probability is greater than that of the false alarm probability. The second simulation proves that the altitude of an unmanned aerial vehicle is a very important factor for the speed of a target search. In particular, the result shows that, for a real data set, the search distance and time at 10 and 5 m are about 2.8 times and 14.3 times larger, respectively, than those at 20 m.

scholarly journals Beta and theta oscillations differentially support free versus forced control over multiple-target search

2018 ◽  
Author(s):  
Joram van Driel ◽  
Eduard Ort ◽  
Johannes J. Fahrenfort ◽  
Christian N. L. Olivers
Keyword(s):  
Visual Search ◽  
Eye Tracking ◽  
Search Display ◽  
Neural Mechanisms ◽  
Search Performance ◽  
Multiple Target ◽  
Proactive Control ◽  
Reactive Control ◽  
Target Search ◽  
Time Frequency

AbstractMany important situations require human observers to simultaneously search for more than one object. Despite a long history of research into visual search, the behavioral and neural mechanisms associated with multiple-target search are poorly understood. Here we test the novel theory that the efficiency of looking for multiple targets critically depends on the mode of cognitive control the environment affords to the observer. We used an innovative combination of EEG and eye tracking while participants searched for two targets, within two different contexts: Either both targets were present in the search display and observers were free to prioritize either one of them, thus enabling proactive control over selection; or only one of the two targets would be present in each search display, which requires reactive control to reconfigure selection when the wrong target is prioritized. During proactive control, both univariate and multivariate signals of beta-band (15–35 Hz) power suppression prior to display onset predicted switches between target selections. This signal originated over midfrontal and sensorimotor regions and has previously been associated with endogenous state changes. In contrast, imposed target selections requiring reactive control elicited prefrontal power enhancements in the delta/theta-band (2–8 Hz), but only after display onset. This signal predicted individual differences in associated oculomotor switch costs, reflecting reactive reconfiguration of target selection. The results provide compelling evidence that multiple target representations are differentially prioritized during visual search, and for the first time reveal distinct neural mechanisms underlying proactive and reactive control over multiple-target search.Significance StatementSearching for more than one object in complex visual scenes can be detrimental for search performance. While perhaps annoying in daily life, this can have severe consequences in professional settings such as medical and security screening. Previous research has not yet resolved whether multiple-target search involves changing priorities in what people attend to, and how such changes are controlled. We approached these questions by concurrently measuring cortical activity and eye movements using EEG and eye tracking, while observers searched for multiple possible targets. Our findings provide the first unequivocal support for the existence of two modes of control during multiple-target search, which are expressed in qualitatively distinct time-frequency signatures of the EEG both before and after visual selection.

The Influences of Goal and Laterality of a Prepared Hand Response on a Co-Occurring Visual Search

2015 ◽  
Vol 74 (1) ◽  
pp. 55-60 ◽  
Author(s):  
Alexandre Coutté ◽  
Gérard Olivier ◽  
Sylvane Faure
Keyword(s):  
Visual Search ◽  
Visual Target ◽  
Motor Planning ◽  
Search Performance ◽  
Response Preparation ◽  
Manual Response ◽  
Response Hand ◽  
Computer Screen ◽  
Left Hand ◽  
Manual Interaction

Computer use generally requires manual interaction with human-computer interfaces. In this experiment, we studied the influence of manual response preparation on co-occurring shifts of attention to information on a computer screen. The participants were to carry out a visual search task on a computer screen while simultaneously preparing to reach for either a proximal or distal switch on a horizontal device, with either their right or left hand. The response properties were not predictive of the target’s spatial position. The results mainly showed that the preparation of a manual response influenced visual search: (1) The visual target whose location was congruent with the goal of the prepared response was found faster; (2) the visual target whose location was congruent with the laterality of the response hand was found faster; (3) these effects have a cumulative influence on visual search performance; (4) the magnitude of the influence of the response goal on visual search is marginally negatively correlated with the rapidity of response execution. These results are discussed in the general framework of structural coupling between perception and motor planning.

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