Recovering Reasoning Processes from User Interactions

Dou, Wenwen; Jeong, Dong Hyun; Stukes, Felesia; Ribarsky, William; Lipford, Heather Richter; Chang, Remco

doi:10.1109/mcg.2009.49

Cited by 114 publications

(97 citation statements)

References 2 publications

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“…Exploring the details of user interactions allows to bring connections to the reasoning behind [37]. To enable this, a visual interaction log exploration tool was developed based on JavaScript and D3.js (http://d3js.org) [38].…”

Section: Data Analysis Methodsmentioning

confidence: 99%

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Using a contextualized sensemaking model for interaction design: A case study of tumor contouring

Aselmaa

Herk

Laprie

et al. 2017

Journal of Biomedical Informatics

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a b s t r a c tSensemaking theories help designers understand the cognitive processes of a user when he/she performs a complicated task. This paper introduces a two-step approach of incorporating sensemaking support within the design of health information systems by: (1) modeling the sensemaking process of physicians while performing a task, and (2) identifying software interaction design requirements that support sensemaking based on this model. The two-step approach is presented based on a case study of the tumor contouring clinical task for radiotherapy planning. In the first step of the approach, a contextualized sensemaking model was developed to describe the sensemaking process based on the goal, the workflow and the context of the task. In the second step, based on a research software prototype, an experiment was conducted where three contouring tasks were performed by eight physicians respectively. Four types of navigation interactions and five types of interaction sequence patterns were identified by analyzing the gathered interaction log data from those twenty-four cases. Further in-depth study on each of the navigation interactions and interaction sequence patterns in relation to the contextualized sensemaking model revealed five main areas for design improvements to increase sensemaking support. Outcomes of the case study indicate that the proposed two-step approach was beneficial for gaining a deeper understanding of the sensemaking process during the task, as well as for identifying design requirements for better sensemaking support.

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Section: Data Analysis Methodsmentioning

confidence: 99%

“…Through examining the interactions, it is possible to identify 60-79% of strategies/methods [37]. We limited our research to analyzing interactions based on the visual inspection of the software interaction timelines.…”

Section: The Case Studymentioning

confidence: 99%

Using a contextualized sensemaking model for interaction design: A case study of tumor contouring

Aselmaa

Herk

Laprie

et al. 2017

Journal of Biomedical Informatics

View full text Add to dashboard Cite

show abstract

“…There has been some research in the area of reasoning provenance (see e.g., [31,32]). In this kind of research, reasoning processes of one analyst are reconstructed to assist another analyst.…”

Section: Sense-making and Insight Generationmentioning

confidence: 99%

Sense-making Strategies for the Interpretation of Visualizations—Bridging the Gap between Theory and Empirical Research

Pohl

Haider

2017

MTI

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Making sense of visualizations is often an open and explorative process. This process is still not very well understood. On the one hand, it is an open question which theoretical models are appropriate for the explanation of these activities. Heuristics and theories of everyday thinking probably describe this process better than more formal models. On the other hand, there are only few detailed investigations of interaction processes with information visualizations. We will try to relate approaches describing the usage of heuristics and everyday thinking with existing empirical studies describing sense-making of visualizations.

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“…They claim that interactions should be designed so as to adhere to the inherent flow of each individual's analysis. Dou et al have demonstrated the capability for interaction to portray a user's reasoning process [25]. They showed that humans could interpret a log of another user's interactions during an analysis and effectively infer that user's reasoning.…”

Section: Related Workmentioning

confidence: 99%

Semantic Interaction for Sensemaking: Inferring Analytical Reasoning for Model Steering

Endert

Fiaux

North

2012

IEEE Trans. Visual. Comput. Graphics

121

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Abstract-Visual analytic tools aim to support the cognitively demanding task of sensemaking. Their success often depends on the ability to leverage capabilities of mathematical models, visualization, and human intuition through flexible, usable, and expressive interactions. Spatially clustering data is one effective metaphor for users to explore similarity and relationships between information, adjusting the weighting of dimensions or characteristics of the dataset to observe the change in the spatial layout. Semantic interaction is an approach to user interaction in such spatializations that couples these parametric modifications of the clustering model with usersʼ analytic operations on the data (e.g., direct document movement in the spatialization, highlighting text, search, etc.). In this paper, we present results of a user study exploring the ability of semantic interaction in a visual analytic prototype, ForceSPIRE, to support sensemaking. We found that semantic interaction captures the analytical reasoning of the user through keyword weighting, and aids the user in co-creating a spatialization based on the userʼs reasoning and intuition.

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Recovering Reasoning Processes from User Interactions

Cited by 114 publications

References 2 publications

Using a contextualized sensemaking model for interaction design: A case study of tumor contouring

Using a contextualized sensemaking model for interaction design: A case study of tumor contouring

Sense-making Strategies for the Interpretation of Visualizations—Bridging the Gap between Theory and Empirical Research

Semantic Interaction for Sensemaking: Inferring Analytical Reasoning for Model Steering

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