Skip to main content

Exploration strategies, performance, and error consequences when learning a complex computer task

Buy Article:

$63.00 plus tax (Refund Policy)

When trying to learn a complex task, people can use different strategies. They can use systematic exploration in which they take on an active approach to discover the computer functions and make use of problem solving steps such as planning, evaluation of feedback, and control of emotion and motivation. Alternatively, they can use non-systematic strategies like trial-and-error, rigid exploration, and encapsulation in information seeking. This study examined whether the exploration strategies were related to error consequences and performance when people learned a new computer program. Strategies were assessed by means of coding. Analysis showed strong correlations between strategies, error consequences, and task performance. These results can have implications for training design and human reliability in dealing with complex devices.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Data/Media
No Metrics

Document Type: Research Article

Publication date: 2001-05-01

More about this publication?
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more