
doi: 10.3758/bf03203625
Pointing tasks with a mouse are very useful in psychological experiments concerned with a subject’s ability to track a visual object or to move to a target location (e.g., to find a word in text). Such tasks are quite easily performed by subjects, and numerous variables may be obtained from the mouse movement. In this article we describe a set of Turbo Pascal 6.0 units and a program running on the IBM PC family that show how data (x,y coordinates) recorded from a mouse movement can be analyzed to give dispersion, direction, and distance of the movement.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 8 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
