Information (Re)Use in Context
Over the last 25-30 years, an enormous amount has been learned about how people seek, use, maintain, and reuse information *and* expertise in groups and other collectivities. We have also seen major changes in the kinds of information available and in how it is available.
I believe we're on the cusp of the next generation of computational environments and user experiences. It goes under many names - pervasive environments, Internet of Things, Big Data, ubicomp, and on and on - but what is clear is that things are about to change for information - and for users.
This talk considers some of the changes that might occur, grounding them in current work - then and tries to find the new roles and characteristics that search and information seeking will have. (Spoiler Alert: search and seeking will more tightly intertwine.)
Mark Ackerman is is the George Herbert Mead Collegiate Professor of Human-Computer Interaction and a Professor in the School of Information and in the Department of Electrical Engineering and Computer Science at the University of Michigan, Ann Arbor. His major research area is Human-Computer Interaction (HCI), primarily Computer-Supported Cooperative Work (CSCW). He has published widely in HCI and CSCW, investigating collaborative information access in online knowledge communities, medical and health settings, expertise sharing, and pervasive environments. Mark is a member of the CHI Academy (HCI Fellow) and an ACM Fellow.
Previously, Mark was a faculty member at the University of California, Irvine, and a research scientist at MIT's Laboratory for Computer Science (now CSAIL). Before becoming an academic, Mark led the development of the first home banking system, had three Billboard Top-10 games for the Atari 2600, and worked on the X Window System's first user-interface widget set. Mark has degrees from the University of Chicago, Ohio State, and MIT.
Interactive Information Retrieval: An Evaluation Perspective
This presentation addresses methodological issues of interactive information retrieval (IIR) evaluation in terms of what it entails to study users' use and interaction with IR systems, as well as their satisfaction with retrieved information. In particular, the presentation focuses on test design, and it takes a look into the toolbox of IIR test design with reference to data collection methods and test procedure. It calls for careful and well-planned studies to qualify the knowledgebase generated as a result of the conducted IIR studies.
The presentation further reflects on the need for an updated theoretical framework to describe partly the various types of IIR, and partly how IIR nowadays often is carried out in a seamless task switching IT environment on various platforms, including via apps. This type of environment furthermore calls for new methodologies to study the IIR behaviour in the habitat of the users to ensure a complete and realistic picture to enhance our understanding of IIR.
The presentation also reflects on whether a re-thinking of the concept on an information need is necessary. One may ask whether it still makes sense to talk about types of information needs. Or should we rather study IIR from the perspective of search dedication and task load in order to also include everyday life information seeking?
With this presentation, the IIR community is invited to an exchange of ideas and is encouraged to engage in collaborations with the solving of these (and other) issues to our joint advantage.
Pia Borlund is Professor (WSO) in interactive information retrieval (IIR) at the Royal School of Library and Information Science (RSLIS), University of Copenhagen, Denmark. She holds a PhD on evaluation of IIR from Åbo Akademi University, Finland (2000). Pia Borlund is associated as docent at the School of Information Sciences, University of Tampere, Finland. She is former Pro-rector, Head of Research and Head of Department of RSLIS.
The research focus of Pia Borlund is on the methods for evaluation of systems that support interactive information retrieval. Her interest in systems evaluation, design and usage brings together three broad areas: interactive information retrieval, human-computer interaction, and information seeking (behaviour). Pia Borlund has conducted research on frameworks and guidelines for performance evaluation of interactive information retrieval systems centred on the test instrument 'simulated work task situation' by involvement of users. Her current research focuses on methodological issues, test design and requirements for evaluation of user-based performance and search interaction. Specifically, she is interested in the concept of relevance, including users' relevance assessment behaviours of different work and search tasks, types of information needs as well as the nature of subjective, non-binary relevance.