Spatial Tools for Managing Personal Information Collections

Bauer, Dietmar; Fastrez, Pierre; Hollan, James D.

doi:10.1109/hicss.2005.551

Cited by 15 publications

(22 citation statements)

References 24 publications

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“…They can also annotate the canvas with thoughts and theories. Similarly, the Entity Workspace provides an evidence panel for analysis to place relevant documents and generate hypotheses (Billman & Bier, 2007), whilst Dynapad offers a workspace for spatially organising personal document collections (Bauer, Fastrez, & Hollan, 2005). Finally, the S3 system embeds cognition into a visual interface for developing and analysing hypotheses (Ntuen, Park, & Gwang-Myung, 2010).…”

mentioning

confidence: 99%

INVISQUE as a Tool for Intelligence Analysis: The Construction of Explanatory Narratives

Rooney

Attfield

Wong

et al. 2014

International Journal of Human-Computer Interaction

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We report an exploratory user-study in which a group of civil servants with experience of, or involvement in, intelligence analysis used the tool INVISQUE to address a problem using the 2011 VAST dataset. INVISQUE uses a visual metaphor that combines searching, clustering and sorting of document surrogates with free-form manipulation on an infinite canvas. We were interested in exposing the behaviours and related cognitive strategies that users would employ to better understand how this and similar environments might better support intelligence type work. Our results include the observation that the search and spatial features of the system supported participants in establishing, elaborating and systematically evaluating explanatory narratives that accounted for the data. Also, visual persistence at the interface allowed them to keep track of searches and to re-find documents when their importance became apparent. We conclude with reflections on our findings and propose a set of guidelines for developing systems that support sensemaking.

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confidence: 99%

INVISQUE as a Tool for Intelligence Analysis: The Construction of Explanatory Narratives

Rooney

Attfield

Wong

et al. 2014

International Journal of Human-Computer Interaction

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“…Prior work in automated construction of diagrams visualizing scientific research has focused on producing a high level representation ideas in papers [27]. Approaches to representing individual research documents like PDFs include thumbnails of extracted images [4], or summary graphics that incorporate key terms and important images extracted from the paper [28]. However, these approaches rely on combining existing imagery from the publication, and cannot create a new, synthesizing representation.…”

Section: Related Workmentioning

confidence: 99%

Picturing Science: Design Patterns in Graphical Abstracts

Hullman

Bach

2018

Lecture Notes in Computer Science

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Abstract. A graphical abstract (GA) provides a concise visual summary of a scientific contribution. GAs are increasingly required by journals to help make scientific publications more accessible to readers. We characterize the design space of GAs through a qualitative analysis of 54 GAs from a range of disciplines, and descriptions of GA design principles from scientific publishers. We present a set of design dimensions, visual structures, and design templates that describe how GAs communicate via pictorial and symbolic elements. By reflecting on how GAs employ visual metaphors, representational genres, and text relative to prior characterizations of how diagrams communicate, our work sheds light on how and why GAs may be distinct. We outline steps for future work at the intersection of HCI, AI, and scientific communication aimed at the creation of GAs.

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“…A brief note on our automatic clustering approach. We use Latent Dirichlet Allocation (LDA) instead of k-means since the task presented to users was to determine the underlying topics of the collection, assigning appropriate documents to each cluster according to how well they belong: this is precisely what LDA was designed to do [4]. LDA computes the underlying topics and estimates for each document the "responsibility" of each topic in explaining the information in that document; we interpret the topics as clusters and use the most responsible topic for a given document as its assigned cluster.…”

Section: Study 3: Evaluating Cluster Qualitymentioning

confidence: 99%

“…Work at Apple expanded on simple 2D spatial layouts with piles [13] that allowed users to group related documents into stacks. More recently, DataMountain [15], Bumptop [1] and DynaPad [4] all expand from the simple 2D metaphor by adding 3D, physics, or zooming. Our contributions are orthogonal to this work -we could augment any of these systems with the techniques described in this paper.…”

Section: Spatial Layout For Document Collectionsmentioning

confidence: 99%

Helping Users Sort Faster with Adaptive Machine Learning Recommendations

Drucker

Fisher

Basu

2011

Lecture Notes in Computer Science

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Abstract. Sorting and clustering large numbers of documents can be an overwhelming task: manual solutions tend to be slow, while machine learning systems often present results that don't align well with users' intents. We created and evaluated a system for helping users sort large numbers of documents into clusters. iCluster has the capability to recommend new items for existing clusters and appropriate clusters for items. The recommendations are based on a learning model that adapts over time -as the user adds more items to a cluster, the system's model improves and the recommendations become more relevant. Thirty-two subjects used iCluster to sort hundreds of data items both with and without recommendations; we found that recommendations allow users to sort items more rapidly. A pool of 161 raters then assessed the quality of the resulting clusters, finding that clusters generated with recommendations were of statistically indistinguishable quality. Both the manual and assisted methods were substantially better than a fully automatic method.

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Spatial Tools for Managing Personal Information Collections

Cited by 15 publications

References 24 publications

INVISQUE as a Tool for Intelligence Analysis: The Construction of Explanatory Narratives

INVISQUE as a Tool for Intelligence Analysis: The Construction of Explanatory Narratives

Picturing Science: Design Patterns in Graphical Abstracts

Helping Users Sort Faster with Adaptive Machine Learning Recommendations

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