What are the shapes of response time distributions in visual search?
Many visual search experiments measure response time (RT) as their primary dependent variable. Analyses typically focus on mean (or median) RT. However, given enough data, the RT distribution can be a rich source of information. For this paper, we collected about 500 trials per cell per observer for...
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American Psychological Association (APA)
2012
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Online Access: | http://hdl.handle.net/1721.1/73546 https://orcid.org/0000-0003-4915-0256 |
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author | Palmer, Evan M. Horowitz, Todd S. Torralba, Antonio |
author2 | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
author_facet | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Palmer, Evan M. Horowitz, Todd S. Torralba, Antonio |
author_sort | Palmer, Evan M. |
collection | MIT |
description | Many visual search experiments measure response time (RT) as their primary dependent variable. Analyses typically focus on mean (or median) RT. However, given enough data, the RT distribution can be a rich source of information. For this paper, we collected about 500 trials per cell per observer for both target-present and target-absent displays in each of three classic search tasks: feature search, with the target defined by color; conjunction search, with the target defined by both color and orientation; and spatial configuration search for a 2 among distractor 5s. This large data set allows us to characterize the RT distributions in detail. We present the raw RT distributions and fit several psychologically motivated functions (ex-Gaussian, ex-Wald, Gamma, and Weibull) to the data. We analyze and interpret parameter trends from these four functions within the context of theories of visual search. |
first_indexed | 2024-09-23T09:07:18Z |
format | Article |
id | mit-1721.1/73546 |
institution | Massachusetts Institute of Technology |
language | en_US |
last_indexed | 2024-09-23T09:07:18Z |
publishDate | 2012 |
publisher | American Psychological Association (APA) |
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spelling | mit-1721.1/735462022-09-30T13:33:40Z What are the shapes of response time distributions in visual search? Palmer, Evan M. Horowitz, Todd S. Torralba, Antonio Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Torralba, Antonio Many visual search experiments measure response time (RT) as their primary dependent variable. Analyses typically focus on mean (or median) RT. However, given enough data, the RT distribution can be a rich source of information. For this paper, we collected about 500 trials per cell per observer for both target-present and target-absent displays in each of three classic search tasks: feature search, with the target defined by color; conjunction search, with the target defined by both color and orientation; and spatial configuration search for a 2 among distractor 5s. This large data set allows us to characterize the RT distributions in detail. We present the raw RT distributions and fit several psychologically motivated functions (ex-Gaussian, ex-Wald, Gamma, and Weibull) to the data. We analyze and interpret parameter trends from these four functions within the context of theories of visual search. 2012-10-02T15:23:57Z 2012-10-02T15:23:57Z 2011-02 2009-08 Article http://purl.org/eprint/type/JournalArticle 0096-1523 1939-1277 http://hdl.handle.net/1721.1/73546 Palmer, Evan M. et al. “What Are the Shapes of Response Time Distributions in Visual Search?” Journal of Experimental Psychology: Human Perception and Performance 37.1 (2011): 58–71. https://orcid.org/0000-0003-4915-0256 en_US http://dx.doi.org/10.1037/a0020747 Journal of Experimental Psychology: Human Perception & Performance Creative Commons Attribution-Noncommercial-Share Alike 3.0 http://creativecommons.org/licenses/by-nc-sa/3.0/ application/pdf American Psychological Association (APA) PubMed Central |
spellingShingle | Palmer, Evan M. Horowitz, Todd S. Torralba, Antonio What are the shapes of response time distributions in visual search? |
title | What are the shapes of response time distributions in visual search? |
title_full | What are the shapes of response time distributions in visual search? |
title_fullStr | What are the shapes of response time distributions in visual search? |
title_full_unstemmed | What are the shapes of response time distributions in visual search? |
title_short | What are the shapes of response time distributions in visual search? |
title_sort | what are the shapes of response time distributions in visual search |
url | http://hdl.handle.net/1721.1/73546 https://orcid.org/0000-0003-4915-0256 |
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