| Title |
Mousetrap: An integrated, open-source mouse-tracking package
|
|---|---|
| Published in |
Behavior Research Methods, June 2017
|
| DOI | 10.3758/s13428-017-0900-z |
| Pubmed ID | |
| Authors |
Pascal J. Kieslich, Felix Henninger |
| Abstract |
Mouse-tracking - the analysis of mouse movements in computerized experiments - is becoming increasingly popular in the cognitive sciences. Mouse movements are taken as an indicator of commitment to or conflict between choice options during the decision process. Using mouse-tracking, researchers have gained insight into the temporal development of cognitive processes across a growing number of psychological domains. In the current article, we present software that offers easy and convenient means of recording and analyzing mouse movements in computerized laboratory experiments. In particular, we introduce and demonstrate the mousetrap plugin that adds mouse-tracking to OpenSesame, a popular general-purpose graphical experiment builder. By integrating with this existing experimental software, mousetrap allows for the creation of mouse-tracking studies through a graphical interface, without requiring programming skills. Thus, researchers can benefit from the core features of a validated software package and the many extensions available for it (e.g., the integration with auxiliary hardware such as eye-tracking, or the support of interactive experiments). In addition, the recorded data can be imported directly into the statistical programming language R using the mousetrap package, which greatly facilitates analysis. Mousetrap is cross-platform, open-source and available free of charge from https://github.com/pascalkieslich/mousetrap-os . |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 5 | 38% |
| Czechia | 1 | 8% |
| United States | 1 | 8% |
| Denmark | 1 | 8% |
| Norway | 1 | 8% |
| Netherlands | 1 | 8% |
| Ireland | 1 | 8% |
| Unknown | 2 | 15% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 62% |
| Members of the public | 5 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 151 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 151 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 41 | 27% |
| Student > Master | 19 | 13% |
| Student > Bachelor | 13 | 9% |
| Student > Doctoral Student | 12 | 8% |
| Researcher | 12 | 8% |
| Other | 16 | 11% |
| Unknown | 38 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 50 | 33% |
| Computer Science | 9 | 6% |
| Social Sciences | 8 | 5% |
| Business, Management and Accounting | 7 | 5% |
| Neuroscience | 6 | 4% |
| Other | 27 | 18% |
| Unknown | 44 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 10 October 2017.
All research outputs
#4,253,129
of 25,382,440 outputs
Outputs from Behavior Research Methods
#527
of 2,526 outputs
Outputs of similar age
#70,566
of 329,377 outputs
Outputs of similar age from Behavior Research Methods
#13
of 39 outputs
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