The role of experience in understanding age differences in strategy generation and information requests for solving everyday problems was explored in young and older adults. Participants received three hypothetical problems dealing with going to doctor’s offices and going to dinner parties and were probed extensively for their strategies and information they would like to solve the problems. Experience with these two domains was assessed by participants’ reports of their experience, script knowledge, and the presence of experience in problem definitions. No age differences were found in these experience measures. Age differences were found in the number of strategies generated and the amount of information requested to solve the problem. Two patterns of everyday problem solving were uncovered: an exhaustive style (involving inferential problem definition, elaborate strategy generation, and information requests); and an experiential style (involving experiential problem definition, less strategy generation, and fewer information requests). The results are interpreted within a model that uses individuals’ problem definitions to understand multiple aspects of everyday problem-solving performance.
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