Designing exploratory search tasks for user studies of information seeking support systems

Author(s):  
Bill Kules ◽  
Robert Capra
Author(s):  
Dhavalkumar Thakker ◽  
Fan Yang-Turner ◽  
Dimoklis Despotakis

It is becoming increasingly popular to expose government and citywide sensor data as linked data. Linked data appears to offer a great potential for exploratory search in supporting smart city goals of helping users to learn and make sense of complex and heterogeneous data. However, there are no systematic user studies to provide an insight of how browsing through linked data can support exploratory search. This paper presents a user study that draws on methodological and empirical underpinning from relevant exploratory search studies. The authors have developed a linked data browser that provides an interface for user browsing through several datasets linked via domain ontologies. In a systematic study that is qualitative and exploratory in nature, they have been able to get an insight on central issues related to exploratory search and browsing through linked data. The study identifies obstacles and challenges related to exploratory search using linked data and draws heuristics for future improvements. The authors also report main problems experienced by users while conducting exploratory search tasks, based on which requirements for algorithmic support to address the observed issues are elicited. The approach and lessons learnt can facilitate future work in browsing of linked data, and points at further issues that have to be addressed.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gerd Berget ◽  
Andrew MacFarlane ◽  
Nils Pharo

PurposeA substantial number of models have been developed over the years, with the purpose of describing the information seeking and searching of people in various user groups and contexts. Several models have been frequently applied in user studies, but are rarely included in research on participants with impairments. Models are purposeful when developing theories. Consequently, it might be valuable to apply models when studying this user group, as well. The purpose of this study was to explore whether existing models are applicable in describing the online information seeking and searching of users with impairments, with an overall aim to increase the use of models in studies involving impairments.Design/methodology/approachSix models were selected according to the following criteria: the model should address information seeking or searching, include the interaction between users and systems whilst incorporating assistive technology. Two user groups were selected from each of the categories: cognitive, sensory and motor impairments, namely dyslexia, autism, blindness, deafness, paralysation and Parkinson's. The models were then analysed based on known barriers reported for these cohorts.FindingsAll the selected models had potential to be applied in user studies involving impairments. While three of the models had the highest potential to be used in the current form, the other three models were applicable either through minor revisions or by combining models.Originality/valueThis study contributes with a new perspective on the use of models in information seeking and searching research on users with impairments.


2010 ◽  
Vol 49 (04) ◽  
pp. 412-417 ◽  
Author(s):  
J. J. McGowan ◽  
E. S. Berner

Summary Background: Diagnostic decision support systems are designed to assist physicians with making diagnoses. This article illustrates some of the issues that will be faced as diagnostic decision support systems become used in medical education. Objectives: The objectives of this article are to examine 1) the skills that are needed to properly use these programs as part of the students’ clinical experiences; 2) the changes that will be necessary in our curricula once these programs are more extensively utilized, including the implications of using these systems as an educational resource or simulation tool, and 3) the research issues that arise when these systems become an established part of our educational programs. Methods: This is a critical analysis of the literature on diagnostic decision support systems and medical education. Results: To optimally use diagnostic decision support programs, students will need grounding in the basic knowledge and skills that have always been necessary to become a physician, such as the ability to accurately gather and interpret clinical information from the patient. In addition, students will need specific skills in 1) selecting appropriate system vocabulary and functions, and 2) applying the diagnostic system’s suggestions to their particular patient. Conclusions: When computer-based decision support systems are incorporated in medical education, they will likely lead to changes in the traditional medical curriculum. Research will be needed on how use of these programs changes the students’ knowledge, problem-solving and information-seeking skills.


Computer ◽  
2009 ◽  
Vol 42 (3) ◽  
pp. 30-32 ◽  
Author(s):  
Gary Marchionini ◽  
Ryen W. White

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