Information 2.0: Can Collaborative Information Be Authoritative?

Join me for an interactive discussion exploring some of the new and trending collaborative information sources. We will explore sites, compare and discuss some of the pros and cons of using these avenues of information retrieval using collaboration and how libraries can develop new ways of finding information and still play an authoritative and vital role in our communities. Everyone who works in a library is aware of the changes affecting us all these days. Not only are budgets tightening, but the way we go about finding information is also changing. My presentation will consist of two parts, first better ways to search for information in this ever changing techno world and secondly we will take a look at some of the new ways of finding authority by using collaborative information or crowd sourced sites. Providing timely and authoritative information to our patrons has always been primary to libraries. We want the best and we find the best for those we serve. This new trend of moving to collaborative or social networking for information retrieval can be a real challenge for librarians to accept. Can collaboration be authoritative? How do we trust what we find? How do we search for information in this Web 2.0 world? And lastly, the scariest of all, how do librarians and libraries fit in the world of Information 2.0To access the full presentation for this session, click on the Download button to the right

The relationship of (perceived) epistemic cognition to interaction with resources on the internet

Information seeking and processing are key literacy practices. However, they are activities that students, across a range of ages, struggle with. These information seeking processes can be viewed through the lens of epistemic cognition: beliefs regarding the source, justification, complexity, and certainty of knowledge. In the research reported in this article we build on established research in this area, which has typically used self-report psychometric and behavior data, and information seeking tasks involving closed-document sets. We take a novel approach in applying established self-report measures to a large-scale, naturalistic, study environment, pointing to the potential of analysis of dialogue, web-navigation – including sites visited – and other trace data, to support more traditional self-report mechanisms. Our analysis suggests that prior work demonstrating relationships between self-report indicators is not paralleled in investigation of the hypothesized relationships between self-report and trace-indicators. However, there are clear epistemic features of this trace data. The article thus demonstrates the potential of behavioral learning analytic data in understanding how epistemic cognition is brought to bear in rich information seeking and processing tasks

Recommendation, collaboration and social search

This chapter considers the social component of interactive information retrieval: what is the role of other people in searching and browsing? For simplicity we begin by considering situations without computers. After all, you can interactively retrieve information without a computer; you just have to interact with someone or something else. Such an analysis can then help us think about the new forms of collaborative interactions that extend our conceptions of information search, made possible by the growth of networked ubiquitous computing technology. Information searching and browsing have often been conceptualized as a solitary activity, however they always have a social component. We may talk about 'the' searcher or 'the' user of a database or information resource. Our focus may be on individual uses and our research may look at individual users. Our experiments may be designed to observe the behaviors of individual subjects. Our models and theories derived from our empirical analyses may focus substantially or exclusively on an individual's evolving goals, thoughts, beliefs, emotions and actions. Nevertheless there are always social aspects of information seeking and use present, both implicitly and explicitly. We start by summarizing some of the history of information access with an emphasis on social and collaborative interactions. Then we look at the nature of recommendations, social search and interfaces to support collaboration between information seekers. Following this we consider how the design of interactive information systems is influenced by their social elements

A HCI principles based framework to assess the user perception of web based Virtual Research Environments. Special issue on Capacity building for post disaster infrastructure development and management

Due to various challenges and opportunities such as globalisation of research agenda and advancements in information and communication technologies, research collaborations (both international and national) have become popular during the last decade more than ever before. Within this context, the concept of Virtual Research environments(VRE) is an emerging concept looking at addressing the complex challenges associated with conducting collaborative research. Even though concept of VRE is at its infancy, it is important to assess user perception about those, both to establish its success of uptake and future development strategies. However, to date, there is no formal method established to evaluate VREs .This paper reports a strategy adopted within an international collaborative research project (EURASIA) to evaluate its custom built VRE, VEBER, using the well known Computer Human Interaction principles

Psychological elements explaining the consumer's adoption and use of a website recommendation system: A theoretical framework proposal

The purpose of this paper is to understand, with an emphasis on the psychological perspective of the research problem, the consumer's adoption and use of a certain web site recommendation system as well as the main psychological outcomes involved. The approach takes the form of theoretical modelling. Findings: A conceptual model is proposed and discussed. A total of 20 research propositions are theoretically analyzed and justified. Research limitations/implications: The theoretical discussion developed here is not empirically validated. This represents an opportunity for future research. Practical implications: The ideas extracted from the discussion of the conceptual model should be a help for recommendation systems designers and web site managers, so that they may be more aware, when working with such systems, of the psychological process consumers undergo when interacting with them. In this regard, numerous practical reflections and suggestions are presented

Recommender Systems

The ongoing rapid expansion of the Internet greatly increases the necessity of effective recommender systems for filtering the abundant information. Extensive research for recommender systems is conducted by a broad range of communities including social and computer scientists, physicists, and interdisciplinary researchers. Despite substantial theoretical and practical achievements, unification and comparison of different approaches are lacking, which impedes further advances. In this article, we review recent developments in recommender systems and discuss the major challenges. We compare and evaluate available algorithms and examine their roles in the future developments. In addition to algorithms, physical aspects are described to illustrate macroscopic behavior of recommender systems. Potential impacts and future directions are discussed. We emphasize that recommendation has a great scientific depth and combines diverse research fields which makes it of interests for physicists as well as interdisciplinary researchers.Comment: 97 pages, 20 figures (To appear in Physics Reports