Proposed Research. The proposed research consists of several main threads: (1) understanding cognitive aspects of users that are relevant to their information seeking, (2) investigating ways that search systems can provide information (beyond ranked lists and underlying documents) that will aid searchers in evaluating and contextualizing search results, (3) exploring ways that search systems can help users move through a learning or decision-making process, and (4) overcoming challenges in evaluating how well systems support users in learning and decision making. (a) How do cognitive models and processes affect searching and vice-versa? What cognitive biases make content more difficult to absorb? (b) How do people assess content (e.g., Is this information true/factual versus opinion/biased? How does this information relate to other content I’ve seen before?), (c) How do we detect and represent users’ knowledge and knowledge states, cognitive processes, and the effort and difficulty of processing information?, and (d) How do we represent different information facets for users to support meta-cognition? The second area focuses on investigating ways that search systems can represent and provide information so as to aid searchers in evaluating and contextualizing search results. Research questions in this area include: (a) what information or sources of information can be provided to help users overcome their cognitive biases (e.g. teenage moms might trust other teenage moms);
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Sources: End User Agreement, End User Agreement, End User Agreement