1000-1230 - Tutorial 1: Interactive Search in Video & Lifelogging Repositories by Frank Hopfgartner (University of Glasgow) and Klaus Schoeffmann (Klagenfurt University, Austria)
Due to increasing possibilities to create digital video, we are facing the emergence of large video archives that are made accessible either online or offline. Though a lot of research has been spent on video retrieval tools and methods, which allow for automatic search in videos, still the performance of automatic video retrieval is far from optimal.
At the same time, the organization of personal data is receiving increasing research attention due to the challenges that are faced in gathering, enriching, searching and visualizing this data. Given the increasing quantities of personal data being gathered by individuals, the concept of a heterogeneous personal digital libraries of rich multimedia and sensory content for every individual is becoming a reality.
Despite the differences between video archives and personal lifelogging libraries, we are facing very similar challenges when accessing these multimedia repositories. For example, users will struggle to find the information they are looking for in either collection if they are not able to formulate their search needs through a query.
In this tutorial we discuss (i) proposed solutions for improved video & lifelog content navigation, (ii) typical interaction of content-based querying features, and (iii) advanced content visualization methods. Moreover, we discuss and demonstrate interactive video & lifelog search systems and ways to evaluate their performance.
1330-1600 - Tutorial 2: Building Cost Models of Information Interaction & Retrieval by Leif Azzopardi (Strathclyde University)
Modeling how people interact with search interfaces has been of particular interest and importance to the field of Interactive Information Retrieval.
Recently, there has been a move to developing formal models of the interaction between the user and the system, whether it be to: (i) run a simulation, (ii) conduct an economic analysis, (iii) measure system performance, or (iv) simply to better understand user interactions and hypothesise about user behaviours. In such models, they consider the costs and the benefits that arise through the interaction with the interface/system and the information surfaced during the course of interaction.
In this half day tutorial, we will focus on describing a series of cost-benefit models that have been proposed in the literature and how they have been applied in various scenarios. The tutorial will be structured into two parts.
First, we will provide an overview of Decision Theory and Cost-Benefit Analysis techniques, and how they can and have be applied to a variety of Interactive Information Retrieval scenarios. For example, when do facets helps?, under what conditions are query suggestions useful? and is it better to bookmark or re-find?
The second part of the tutorial will be dedicated to building cost-benefit models where we will discuss different techniques to build and develop such models.
In the practical session, we will also discuss how costs and benefits can be estimated, and how the models can help inform and guide experimentation.
During the tutorial participants will be challenged to build cost models for a number of problems (or even bring their own problems to solve).