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1.
IEEE Comput Graph Appl ; 39(6): 46-60, 2019.
Article in English | MEDLINE | ID: mdl-31603814

ABSTRACT

Visual analytics tools integrate provenance recording to externalize analytic processes or user insights. Provenance can be captured on varying levels of detail, and in turn activities can be characterized from different granularities. However, current approaches do not support inferring activities that can only be characterized across multiple levels of provenance. We propose a task abstraction framework that consists of a three stage approach, composed of 1) initializing a provenance task hierarchy, 2) parsing the provenance hierarchy by using an abstraction mapping mechanism, and 3) leveraging the task hierarchy in an analytical tool. Furthermore, we identify implications to accommodate iterative refinement, context, variability, and uncertainty during all stages of the framework. We describe a use case which exemplifies our abstraction framework, demonstrating how context can influence the provenance hierarchy to support analysis. The article concludes with an agenda, raising and discussing challenges that need to be considered for successfully implementing such a framework.

2.
IEEE Trans Vis Comput Graph ; 22(1): 41-50, 2016 Jan.
Article in English | MEDLINE | ID: mdl-26357398

ABSTRACT

Sensemaking is described as the process of comprehension, finding meaning and gaining insight from information, producing new knowledge and informing further action. Understanding the sensemaking process allows building effective visual analytics tools to make sense of large and complex datasets. Currently, it is often a manual and time-consuming undertaking to comprehend this: researchers collect observation data, transcribe screen capture videos and think-aloud recordings, identify recurring patterns, and eventually abstract the sensemaking process into a general model. In this paper, we propose a general approach to facilitate such a qualitative analysis process, and introduce a prototype, SensePath, to demonstrate the application of this approach with a focus on browser-based online sensemaking. The approach is based on a study of a number of qualitative research sessions including observations of users performing sensemaking tasks and post hoc analyses to uncover their sensemaking processes. Based on the study results and a follow-up participatory design session with HCI researchers, we decided to focus on the transcription and coding stages of thematic analysis. SensePath automatically captures user's sensemaking actions, i.e., analytic provenance, and provides multi-linked views to support their further analysis. A number of other requirements elicited from the design session are also implemented in SensePath, such as easy integration with existing qualitative analysis workflow and non-intrusive for participants. The tool was used by an experienced HCI researcher to analyze two sensemaking sessions. The researcher found the tool intuitive and considerably reduced analysis time, allowing better understanding of the sensemaking process.

4.
IEEE Trans Vis Comput Graph ; 19(12): 2217-26, 2013 Dec.
Article in English | MEDLINE | ID: mdl-24051788

ABSTRACT

This research aims to develop design guidelines for systems that support investigators and analysts in the exploration and assembly of evidence and inferences. We focus here on the problem of identifying candidate 'influencers' within a community of practice. To better understand this problem and its related cognitive and interaction needs, we conducted a user study using a system called INVISQUE (INteractive Visual Search and QUery Environment) loaded with content from the ACM Digital Library. INVISQUE supports search and manipulation of results over a freeform infinite 'canvas'. The study focuses on the representations user create and their reasoning process. It also draws on some pre-established theories and frameworks related to sense-making and cognitive work in general, which we apply as a 'theoretical lenses' to consider findings and articulate solutions. Analysing the user-study data in the light of these provides some understanding of how the high-level problem of identifying key players within a domain can translate into lower-level questions and interactions. This, in turn, has informed our understanding of representation and functionality needs at a level of description which abstracts away from the specifics of the problem at hand to the class of problems of interest. We consider the study outcomes from the perspective of implications for design.


Subject(s)
Algorithms , Cognition , Comprehension , Computer Graphics , Decision Making , Software , User-Computer Interface , Humans , Pattern Recognition, Automated/methods , Reproducibility of Results , Sensitivity and Specificity , Software Design
5.
Health Informatics J ; 12(2): 165-77, 2006 Jun.
Article in English | MEDLINE | ID: mdl-17023406

ABSTRACT

This paper presents findings from a study of information seeking behaviour by National Health Service patients which explored motivational triggers for infor- mation needs. Previous research has highlighted the importance of contextual elements in users' changing information needs. This paper highlights how those needs may centre on specific events: in particular, a patient's consultation with their doctor. Patients initiate information seeking to assess whether they need clinical intervention, in preparation for the patient-doctor consultation and to verify the diagnosis or treatment stemming from that consultation. The study has revealed that having confidence in health practitioners is one key motiva- tion for information seeking. Another is a desire to use health service resources judiciously, efficiently and effectively.


Subject(s)
Medical Informatics , Patient Education as Topic , Referral and Consultation , Adult , Aged , Aged, 80 and over , England , Female , Humans , Information Dissemination , Interviews as Topic , Male , Middle Aged
6.
Med Inform Internet Med ; 30(2): 107-22, 2005 Jun.
Article in English | MEDLINE | ID: mdl-16338799

ABSTRACT

This paper presents an overview of several evidence-based medicine and patient information studies conducted across the UK health service over a 4 year period, investigating clinicians', managers', and patients' perceptions of digital resources (primarily digital libraries) in hospitals, Primary Care Trusts, NHS Direct (patient call centre) and patient groups. In-depth interviews and focus groups are analysed using grounded theory methodologies and through content analysis used to produce quantitative finding. The perceived impacts of three different methods employed for delivering health informatics are presented. The findings highlight some generic issues relevant for health informatics in the UK health sector as well as some specific issues for medical digital libraries. This paper reviews in more detail the issues of medical technology implementation (traditional implementation, on the wards, and intermediaries within in communities). A breakdown of the clinicians' and patients' information journey (information initiation, facilitation and interpretation) is also presented with regard to medical digital libraries and online resources. Broad guidelines derived from these findings are provided for health-informatics deployment.


Subject(s)
Diffusion of Innovation , Hospitals, Public , Information Storage and Retrieval/methods , Medical Informatics/organization & administration , Adult , Aged , Aged, 80 and over , Focus Groups , Humans , Interviews as Topic , Middle Aged , Primary Health Care , United Kingdom
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