Studies in searching as learning (SAL) have revealed that user knowledge gain not only manifests over a long-term period, but also occurs single short-term web search sessions. Though prior works shown the of collaborators can be influenced by demographics and strategies collaborative learning, little is known about effect these factors on search. In this paper, we present study addressing pairs Using crowdsourcing recruited 454 unique users (227 random pairs), who then collaboratively...

User-centered approaches have been extensively studied and used in the area of struggling search. Related research has targeted key aspects users such as user satisfaction or frustration, search success failure, using a variety experimental methods including laboratory studies, in-situ explicit feedback from searchers by crowdsourcing. Such studies are valuable advancing understanding difficulty user's perspective, yield insights that can directly improve systems their evaluation. However,...

In this demo paper, we introduce LogCanvas, a platform for user search history visualization.Different from the existing visualization tools, LogCanvas focuses on helping users re-construct semantic relationship among their activities. segments user's into different sessions and generates knowledge graph to represent information exploration process in each session.A is composed of most important concepts or entities discovered by query as well relationships. It thus captures...

Understanding the influence of users' opinions on their search behavior together with inherent biases in web has garnered widespread interest recent times. This is largely due to implications promoting critical thinking, explaining phenomena such as political polarization, or manifestation echo chambers. It important understand how personal can bias interaction results. Moreover, there a lack understanding impact user intents, namely non-purposeful browsing versus searching pre-defined goal,...

Interactive information-seeking systems are designed to help users with their struggling during the searching for complex fact checking tasks, where a searcher may have clear information needs but experience difficulty in collecting required information. However, evaluation and comparison of such requires large number which difficult collect or make up. To best our knowledge, there has not been commonly used task set evaluating search this kind. This paper proposes convenient method generate...

Abstract Evaluation of interactive search systems and study users’ struggling behaviors require a significant number tasks. However, generation such tasks is inherently difficult, as each task supposed to trigger behavior rather than simple behavior. To the best our knowledge, there has not been commonly used set for research in search. Moreover, everchanging landscape information needs would render old sets less ideal if unusable evaluation. deal with this problem, we propose crowd-powered...

User-centered approaches have been extensively studied and used in the area of struggling search. Related research has targeted key aspects users such as user satisfaction or frustration, search success failure, using a variety experimental methods including laboratory studies, in-situ explicit feedback from searchers by crowdsourcing. Such studies are valuable advancing understanding difficulty user's perspective, yield insights that can directly improve systems their evaluation. However,...