|AM07||START Conference Manager|
At the time of constantly emerging technologies, information professionals need frameworks for modeling userís preferences and understanding adoption and usability issues. One such framework, decision making Expected Utility theory is reviewed for its ability to offer the logic of mathematical modeling and graphical aids for analyzing information seeking decisions. Major information seeking decisions, including decisions to seek information, select information sources and search strategies, select relevant information objects, and decisions to stop seeking are analyzed using the four expected utility components: alternatives, outcomes, likelihoods and values. Application of decision theoretic framework helps to identify under-studied areas of information seeking research, as well as offer new ways of analyzing information preferences.
|START Conference Manager (V2.54.4)|