Wittek Peter, Liu Ying-Hsang, Darányi Sándor, Gedeon Tom, Lim Ik Soo
Instituto de Ciencias Fotónicas-The Institute of Photonic Sciences, Barcelona Institute of Science and TechnologyBarcelona, Spain; Swedish School of Library and Information Science, University of BoråsBorås, Sweden.
School of Information Studies, Charles Sturt UniversityWagga Wagga, NSW, Australia; Research School of Computer Science, Human-Centered Computing, The Australian National UniversityActon, ACT, Australia.
Front Psychol. 2016 Nov 17;7:1790. doi: 10.3389/fpsyg.2016.01790. eCollection 2016.
Information foraging connects optimal foraging theory in ecology with how humans search for information. The theory suggests that, following an information scent, the information seeker must optimize the tradeoff between exploration by repeated steps in the search space vs. exploitation, using the resources encountered. We conjecture that this tradeoff characterizes how a user deals with uncertainty and its two aspects, risk and ambiguity in economic theory. Risk is related to the perceived quality of the actually visited patch of information, and can be reduced by exploiting and understanding the patch to a better extent. Ambiguity, on the other hand, is the opportunity cost of having higher quality patches elsewhere in the search space. The aforementioned tradeoff depends on many attributes, including traits of the user: at the two extreme ends of the spectrum, analytic and wholistic searchers employ entirely different strategies. The former type focuses on exploitation first, interspersed with bouts of exploration, whereas the latter type prefers to explore the search space first and consume later. Our findings from an eye-tracking study of experts' interactions with novel search interfaces in the biomedical domain suggest that user traits of cognitive styles and perceived search task difficulty are significantly correlated with eye gaze and search behavior. We also demonstrate that perceived risk shifts the balance between exploration and exploitation in either type of users, tilting it against vs. in favor of ambiguity minimization. Since the pattern of behavior in information foraging is quintessentially sequential, risk and ambiguity minimization cannot happen simultaneously, leading to a fundamental limit on how good such a tradeoff can be. This in turn connects information seeking with the emergent field of quantum decision theory.
信息觅食将生态学中的最优觅食理论与人类搜索信息的方式联系起来。该理论表明,循着信息线索,信息搜寻者必须在搜索空间中通过重复步骤进行探索与利用所遇到的资源之间进行权衡优化。我们推测,这种权衡体现了用户在经济理论中如何应对不确定性及其两个方面,即风险和模糊性。风险与实际访问的信息片段的感知质量相关,可以通过更好地利用和理解该片段来降低。另一方面,模糊性是搜索空间中其他地方存在更高质量片段的机会成本。上述权衡取决于许多属性,包括用户的特质:在这个范围的两个极端,分析型和整体型搜索者采用完全不同的策略。前一种类型首先侧重于利用,穿插着一些探索阶段,而后者则更喜欢先探索搜索空间,然后再进行利用。我们对生物医学领域专家与新型搜索界面交互的眼动追踪研究结果表明,认知风格和感知搜索任务难度等用户特质与目光注视和搜索行为显著相关。我们还证明,感知风险会改变任何一种类型用户在探索和利用之间的平衡,使其倾向于减少模糊性而非相反。由于信息觅食中的行为模式本质上是顺序性的,风险和模糊性最小化无法同时发生,这就导致了这种权衡能达到多好存在一个根本限制。这反过来又将信息搜寻与新兴的量子决策理论领域联系起来。