A Validated Framework for Measuring Interface Support for Interactive Information Seeking

In this paper we present the validation of an evaluation framework that models the support provided by search systems for different types of user and their expected types of seeking behavior. Factors determining the types of users include previous knowledge and goals. After an overview is presented, the framework is validated in two ways. First, the novel integration of the two existing information-seeking models used in the framework is validated by the correlation of multiple expert and novice analysis. Second, the framework is validated against the results produced by two separated user studies. Further, the refinements made by the first validation technique are shown to increase the accuracy of the framework through the second technique. The successful validation process has shown that the framework can identify both strong and weak areas of search interface design in only a few hours. The results produced can be used to either revise and strengthen designs or inform the structure of a user study

Evaluating Collaborative Information Seeking Interfaces with a Search-Oriented Inspection Method and Re-framed Information Seeking Theory

Despite the many implicit references to the social contexts of search within Information Seeking and Retrieval research, there has been relatively little work that has specifically investigated the additional requirements for collaborative information seeking interfaces. Here, we re-assess a recent analytical inspection framework, designed for individual information seeking, and then apply it to evaluate a recent collaborative information seeking interface: SearchTogether. The framework was built upon two models of solitary information seeking, and so as part of the re-assessment we first re-frame the models for collaborative contexts. We re-frame a model of search tactics, providing revised definitions that consider known collaborators. We then re-frame a model of user profiles to analyse support for different group dynamics. After presenting an analysis of SearchTogether, we reflect on its accuracy, showing that the framework identified 8 known truths, 8 new insights, and no known-to-be-untrue insights into the design. We conclude that the framework a) can still be applied to collaborative information seeking interfaces; b) can successfully produce additional requirements for collaborative information seeking interfaces; and c) can successfully model different dynamics of collaborating searchers

A model of scientists' information seeking and a user-interface design

Information systems that are available today do not optimally address the information-seeking behaviour of scholars, particularly those who belong to scientific communities; as a result, scholarly discovery is often cumbersome and incomplete. The hypothesis of this study is that an information-seeking system that is designed to address the nature of scholarly materials and the information seeking behaviour of scholars, particularly the members of one scientific community, will increase the effectiveness of the scholars’ searches and enable them to find and obtain relevant materials with greater ease and precision than current practices do. The information-seeking behaviour and search practices deployed by high-energy physics (HEP) researchers are explored through a series of interviews and observations. More than 2,100 responses obtained from a HEP survey are also examined; in particular, the participants’ open-ended responses are analysed. On the basis of qualitative and quantitative research regarding the characteristics of HEP scientists and their information-seeking practices, a set of six personas, representing typical members of the HEP community, is constructed. An original model is developed that leverages existing models of information behaviour, information seeking, and information searching and reflects the full spectrum of active information-seeking and information-searching practices of HEP scholars and the nature of the data that these researchers seek. The model is then evaluated by means of seven scenarios involving the personas constructed earlier. On the basis of the information-seeking model, a software user interface is designed as the future interface for the HEP INSPIRE information system. The user-interface design is corroborated through the model, and the personas are used to evaluate the design. Methods are suggested for long-term quantitative and qualitative monitoring of the ways in which this design supports HEP researchers. It is argued that the proposed user interface, which provides an information environment that accommodates the information-seeking practices of the HEP community in a friendly and efficient manner, will support HEP academic research—and research of other scholarly communities that share some of the HEP community’s characteristics—by shortening the search process and improving the findability of quality materials. This thesis contributes to the body of information-science knowledge in the novel modelling of information-seeking behaviour of a well-defined scientific community, the use of personas for the modelling, and the concretization of the model into a new user-interface design

Voice interaction to send a screenshot and audio recording to another user to ask for help

Users often ask others for help with using a computing device, e.g., to navigate the user interface. When a person who provides help is not physically co-located with the user seeking help with using the device, the user must describe the problem by providing the details of the content of the device screen or taking a screenshot and sending it to the person who is helping. Alternatively, the user can search online for relevant solutions by issuing queries or asking questions via online platforms such as search engines, forums, etc. This disclosure describes techniques for a user to solicit help from a remotely located individual via voice command. With permission of the user, a merged recording of the user’s screen and voice is sent to the person from whom the user is seeking assistance

An exploratory Study of IR Interaction for User Interface Design

Information seeking is an dynamic and interactive process. Factors like users' information needs, individual differences, goals and tasks, knowledge and cognitive abilities etc. influence the information seeking process, and need to be identified and supported in the user interface design. We adopt a user-centered approach to establish a link between research within the IR interaction perspective and the methods in HCI on how to evaluate information seeking interaction in a hypertext IR system (Dienst). Our purpose with this exploratory study is to identify, describe and acquire knowledge of characteristics of the user population, and finally, to make suggestions for supporting users in user interface design. For the evaluation task, we have applied HCI evaluation techniques to our IR evaluation to make a connection between the traditional IR evaluation and HCI evaluation, combining different qualitative and quantitative data collection and analyzing methods, implemented in an experimental real-world online WWW setting. This methodology combined online (WWW-based) questionnaires and database log statistics. Preliminary results revealed several "hidden" realities: a mismatch between what people said they wanted to do as opposed to what they actually did. We also observed that people initially expected a specific function, but when using the system, they did not use it. Finally, we established some group differences concerning variables like previous experience searching information in hypertext systems, IR knowledge and browsing/searching strategies

Evaluating the implicit feedback models for adaptive video retrieval

Interactive video retrieval systems are becoming popular. On the one hand, these systems try to reduce the effect of the semantic gap, an issue currently being addressed by the multimedia retrieval community. On the other hand, such systems enhance the quality of information seeking for the user by supporting query formulation and reformulation. Interactive systems are very popular in the textual retrieval domain. However, they are relatively unexplored in the case of multimedia retrieval. The main problem in the development of interactive retrieval systems is the evaluation cost.The traditional evaluation methodology, as used in the information retrieval domain, is not applicable. An alternative is to use a user-centred evaluation methodology. However, such schemes are expensive in terms of effort, cost and are not scalable. This problem gets exacerbated by the use of implicit indicators, which are useful and increasingly used in predicting user intentions. In this paper, we explore the effectiveness of a number of interfaces and feedback mechanisms and compare their relative performance using a simulated evaluation methodology. The results show the relatively better performance of a search interface with the combination of explicit and implicit features