Title |
Millisecond precision psychological research in a world of commodity computers: New hardware, new problems?
|
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Published in |
Behavior Research Methods, August 2009
|
DOI | 10.3758/brm.41.3.598 |
Pubmed ID | |
Authors |
Richard R. Plant, Garry Turner |
Abstract |
Since the publication of Plant, Hammond, and Turner (2004), which highlighted a pressing need for researchers to pay more attention to sources of error in computer-based experiments, the landscape has undoubtedly changed, but not necessarily for the better. Readily available hardware has improved in terms of raw speed; multi core processors abound; graphics cards now have hundreds of megabytes of RAM; main memory is measured in gigabytes; drive space is measured in terabytes; ever larger thin film transistor displays capable of single-digit response times, together with newer Digital Light Processing multimedia projectors, enable much greater graphic complexity; and new 64-bit operating systems, such as Microsoft Vista, are now commonplace. However, have millisecond-accurate presentation and response timing improved, and will they ever be available in commodity computers and peripherals? In the present article, we used a Black Box ToolKit to measure the variability in timing characteristics of hardware used commonly in psychological research. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Japan | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United Kingdom | 4 | 3% |
Germany | 3 | 3% |
Brazil | 3 | 3% |
Austria | 2 | 2% |
Netherlands | 2 | 2% |
Ireland | 1 | <1% |
Portugal | 1 | <1% |
Spain | 1 | <1% |
Japan | 1 | <1% |
Other | 1 | <1% |
Unknown | 96 | 83% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 23 | 20% |
Researcher | 23 | 20% |
Student > Master | 19 | 17% |
Student > Bachelor | 8 | 7% |
Professor | 6 | 5% |
Other | 22 | 19% |
Unknown | 14 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 61 | 53% |
Computer Science | 8 | 7% |
Neuroscience | 7 | 6% |
Arts and Humanities | 4 | 3% |
Agricultural and Biological Sciences | 4 | 3% |
Other | 13 | 11% |
Unknown | 18 | 16% |