This investigation identifies end-user cognitive heuristics that facilitate judgment and evaluation during information retrieval (IR) system interactions. The study extends previous research surrounding relevance as a key construct for representing the value end-users ascribe to items retrieved from IR systems and the perceived effectiveness of such systems. The Lens Model of user cognition serves as the foundation for design and interpretation of the study; earlier research in problem solving, decision making, and attitude formation also contribute to the model and analysis. A self reporting instrument collected evaluative responses from 32 end-users related to 1432 retrieved items in relation to five characteristics of each item: topical, pertinence, utility, systematic, and motivational levels of relevance. The nominal nature of the data collected led to non-parametric statistical analyses that indicated that end-user evaluation of retrieved items to resolve an information problem at hand is most likely a multi-stage process. That process appears to be a cognitive progression from topic to meaning (pertinence) to functionality (use). Each step in end-user evaluative processing engages a cognitive hierarchy of heuristics that includes consideration (of appropriate cues), differentiation (the positive or negative aspects of those cues considered), and aggregation (the combination of differentiated cue aspects needed to …

As non-institutional digital image collections expand into social media, independent non-professional image curators are emerging, actively constructing alternative naming conventions to suit their needs in a social collecting environment. This project considers how independent user-curators are developing particular sense-making behaviors as they actively contribute names to large, unstructured social image collections. In order to capture and explore this evolving language adaptation, Pinterest names are analyzed using a matrix composed of Panofsky’s three strata of subject matter, Rosch’s levels of categorical abstraction, Shatford Layne’s image attributes and Wittgenstein’s language game constructions. Analyzing Pinterest image names illuminates previously unnoticed behaviors by independent user-curators as they create shared collections. Exploring the various language choices which user-curators select as they apply this new curating vocabulary helps identify underlying user needs not apparent in traditionally curated collections restricted to traditional naming conventions.