| Title |
Bonn eXperimental System (BoXS): An open-source platform for interactive experiments in psychology and economics
|
|---|---|
| Published in |
Behavior Research Methods, November 2015
|
| DOI | 10.3758/s13428-015-0660-6 |
| Pubmed ID | |
| Authors |
Mirko Seithe, Jeronim Morina, Andreas Glöckner |
| Abstract |
The increased interest in complex-interactive behavior on the one hand and the cognitive and affective processes underlying behavior on the other are a challenge for researchers in psychology and behavioral economics. Research often necessitates that participants strategically interact with each other in dyads or groups. At the same time, to investigate the underlying cognitive and affective processes in a fine-grained manner, not only choices but also other variables such as decision time, information search, and pupil dilation should be recorded. The Bonn eXperimental System (BoXS) introduced in this article is an open-source platform that allows interactive as well as non-interactive experiments to be conducted while recording process measures very efficiently and completely browser-based. In the current version, BoXS has particularly been extended to enable conducting interactive eye-tracking and mouse-tracking experiments. One core advantage of BoXS is its simplicity. Using BoXS does not require prior installation for both experimenters and participants, which allows for running studies outside the laboratory and over the internet. Learning to program for BoXS is easy even for researchers without previous programming experience. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 18% |
| Student > Ph. D. Student | 6 | 15% |
| Student > Master | 5 | 13% |
| Student > Bachelor | 4 | 10% |
| Professor | 4 | 10% |
| Other | 9 | 23% |
| Unknown | 4 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 14 | 36% |
| Economics, Econometrics and Finance | 3 | 8% |
| Computer Science | 2 | 5% |
| Sports and Recreations | 2 | 5% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 9 | 23% |
| Unknown | 8 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 09 November 2016.
All research outputs
#16,722,190
of 25,374,647 outputs
Outputs from Behavior Research Methods
#1,539
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Outputs of similar age
#165,882
of 293,335 outputs
Outputs of similar age from Behavior Research Methods
#21
of 45 outputs
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