| Title |
Metronome LKM: An open source virtual keyboard driver to measure experiment software latencies
|
|---|---|
| Published in |
Behavior Research Methods, September 2017
|
| DOI | 10.3758/s13428-017-0958-7 |
| Pubmed ID | |
| Authors |
Pablo Garaizar, Miguel A. Vadillo |
| Abstract |
Experiment software is often used to measure reaction times gathered with keyboards or other input devices. In previous studies, the accuracy and precision of time stamps has been assessed through several means: (a) generating accurate square wave signals from an external device connected to the parallel port of the computer running the experiment software, (b) triggering the typematic repeat feature of some keyboards to get an evenly separated series of keypress events, or (c) using a solenoid handled by a microcontroller to press the input device (keyboard, mouse button, touch screen) that will be used in the experimental setup. Despite the advantages of these approaches in some contexts, none of them can isolate the measurement error caused by the experiment software itself. Metronome LKM provides a virtual keyboard to assess an experiment's software. Using this open source driver, researchers can generate keypress events using high-resolution timers and compare the time stamps collected by the experiment software with those gathered by Metronome LKM (with nanosecond resolution). Our software is highly configurable (in terms of keys pressed, intervals, SysRq activation) and runs on 2.6-4.8 Linux kernels. |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 3 | 33% |
| Unknown | 6 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 44% |
| Scientists | 3 | 33% |
| Practitioners (doctors, other healthcare professionals) | 2 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 20% |
| Student > Ph. D. Student | 2 | 20% |
| Other | 1 | 10% |
| Lecturer | 1 | 10% |
| Student > Bachelor | 1 | 10% |
| Other | 2 | 20% |
| Unknown | 1 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 4 | 40% |
| Medicine and Dentistry | 2 | 20% |
| Computer Science | 1 | 10% |
| Physics and Astronomy | 1 | 10% |
| Nursing and Health Professions | 1 | 10% |
| Other | 0 | 0% |
| Unknown | 1 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 June 2019.
All research outputs
#5,300,976
of 25,382,440 outputs
Outputs from Behavior Research Methods
#721
of 2,526 outputs
Outputs of similar age
#83,805
of 323,373 outputs
Outputs of similar age from Behavior Research Methods
#18
of 38 outputs
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