Methods to Test Visual Attention Online

被引:9
|
作者
Yung, Amanda [1 ]
Cardoso-Leite, Pedro [2 ]
Dale, Gillian [3 ]
Bavelier, Daphne [2 ,4 ]
Green, C. Shawn [3 ]
机构
[1] Univ Rochester, Ctr Visual Sci, Rochester, NY 14627 USA
[2] Univ Geneva, Fac Psychol & Educ Sci, CH-1211 Geneva 4, Switzerland
[3] Univ Wisconsin, Dept Psychol, Madison, WI 53706 USA
[4] Univ Rochester, Dept Brain & Cognit Sci, Rochester, NY 14627 USA
来源
基金
美国国家科学基金会; 美国国家卫生研究院; 瑞士国家科学基金会;
关键词
Behavior; Issue; 96; visual attention; web-based assessment; computer-based assessment; visual search; multiple object tracking;
D O I
10.3791/52470
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Online data collection methods have particular appeal to behavioral scientists because they offer the promise of much larger and much more representative data samples than can typically be collected on college campuses. However, before such methods can be widely adopted, a number of technological challenges must be overcome - in particular in experiments where tight control over stimulus properties is necessary. Here we present methods for collecting performance data on two tests of visual attention. Both tests require control over the visual angle of the stimuli (which in turn requires knowledge of the viewing distance, monitor size, screen resolution, etc.) and the timing of the stimuli (as the tests involve either briefly flashed stimuli or stimuli that move at specific rates). Data collected on these tests from over 1,700 online participants were consistent with data collected in laboratory-based versions of the exact same tests. These results suggest that with proper care, timing/stimulus size dependent tasks can be deployed in web-based settings.
引用
收藏
页数:9
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