<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
When people solve mechanical problems, such as troubleshooting, designing, or understanding the operation of mechanical systems, they typically operate on visual displays of these systems—either the machine itself or a schematic diagram of the machine. If the display is central to their problem-solving process, we can assume that their eye fixations on the display indicate the information that they are processing at each stage of the problem-solving process (Just & Carpenter, 1976). Given this assumption, eye-fixation data has provided important insight into cognitive tasks such as mental rotation (Just & Carpenter, 1976, 1985), sentence-picture verification (Just & Carpenter, 1976) and visual analogies (Carpenter, Just, & Shell, 1990). This chapter presents research in which eye-fixation data was used to study a more complex cognitive task, the task of understanding a mechanical system.
citations 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). | 37 | |
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. | Top 10% | |
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 |