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Mija M. Van Der Wege

dblp:38/3442 · DBLP profile ↗
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4ranked-venue papers
0as first author
0since 2021 · last 2003
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 4

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
2 papers
Visualization and visual analytics · 100%
Databases, data mining, and information retrieval
2 papers
Information retrieval · 100%
Human-computer interaction and pervasive computing
2 papers
Usability and user experience research · 56% Interaction techniques and input · 22% Collaborative and social computing · 22%

Topics — the 8 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Visualization and visual analytics
focus+context visualization
0.122003
The effects of information scent on visual search in the hyperbolic tree browser · ACM Trans. Comput. Hum. Interact. 2003
Visual information foraging in a focus + context visualization · CHI 2001
Visualization and visual analytics
information visualization
0.122003
The effects of information scent on visual search in the hyperbolic tree browser · ACM Trans. Comput. Hum. Interact. 2003
Visual information foraging in a focus + context visualization · CHI 2001
Information retrieval › information seeking
information scent
0.022001
Information scent as a driver of Web behavior graphs: results of a protocol analysis method for Web usability · CHI 2001
Visual information foraging in a focus + context visualization · CHI 2001
Information retrieval › user behavior
search behavior
0.012001
Information scent as a driver of Web behavior graphs: results of a protocol analysis method for Web usability · CHI 2001
Usability and user experience research › usability engineering
web usability
0.012001
Information scent as a driver of Web behavior graphs: results of a protocol analysis method for Web usability · CHI 2001
Collaborative and social computing › information seeking
information scent
0.012003
The effects of information scent on visual search in the hyperbolic tree browser · ACM Trans. Comput. Hum. Interact. 2003
Interaction techniques and input
visual search
0.012003
The effects of information scent on visual search in the hyperbolic tree browser · ACM Trans. Comput. Hum. Interact. 2003
Information retrieval › information seeking
information foraging
0.012001
Visual information foraging in a focus + context visualization · CHI 2001

Methods — techniques the papers use, named apart from their topics

eye tracking · 0.1empirical study · 0.1talk-aloud protocols · 0.1protocol analysis · 0.1CODE theory of visual attention · 0.1
YearPublicationVenuePosition
2003 The effects of information scent on visual search in the hyperbolic tree browser
abstract
The Hyperbolic Tree is a focus + context information visualization that has been developed to amplify users' ability to navigate large tree-structured information systems. Information scent is a theoretical construct that captures one kind of interaction between task and display. Information scent is provided by task-relevant display cues, such as node labels on a tree that influence a user's visual search behavior and navigation decisions. An empirical Accuracy of Scent (AOS) score was developed to characterize a set of tasks that required users to find (Retrieval Tasks) or compare (Comparison Tasks) information in tree structures. Two experiments investigated the effect of information scent (tasks with different AOS scores) on performance with the Hyperbolic Tree Browser and the Microsoft Windows File Browser, which is a widely available conventional browser. Experiment 1 found no overall difference in performance time between the two browsers, but did reveal a marginal interaction of information scent with browser performance on Retrieval Tasks. On high AOS tasks the Hyperbolic showed faster performance, but on low AOS tasks the Windows File Browser showed faster performance. Experiment 2 focused only on the Retrieval tasks and revealed that Hyperbolic Tree users examined more tree nodes at a faster rate and visually searched through the tree hierarchy at a faster rate than users of a Windows File Browser lookalike, however, visual search paths were shortened in dense areas of the Hyperbolic Tree display when information scent was low. Two processes appear to affect visual search in the Hyperbolic display: strong information scent improves visual search, and the crowding of targets in a compressed region degrades visual search especially when there is weak information scent.
Peter Pirolli, Stuart K. Card, Mija M. Van Der Wege
ACM Trans. Comput. Hum. Interact.3
2001 Information scent as a driver of Web behavior graphs: results of a protocol analysis method for Web usability
abstract
The purpose of this paper is to introduce a replicable WWW protocol analysis methodology illustrated by application to data collected in the laboratory. The methodology uses instrumentation to obtain detailed recordings of user actions with a browser, caches Web pages encoutered, and videotapes talk-aloud protocols. We apply the current form of the method to the analysis of eight Web protocols, visualizing the structure of the interaction and showing the strong effect of information scent in determining the path followed.
Stuart K. Card, Peter Pirolli, Mija M. Van Der Wege, Julie Bauer Morrison, Robert W. Reeder, Pamela K. Schraedley, Jenea Boshart
CHI3
2001 Visual information foraging in a focus + context visualization
abstract
Eye tracking studies of the Hyperbolic Tree browser suggest that visual search in focus+context displays is highly affected by information scent (i.e., the proximal cues to the value of distal information). When users detected a strong information scent, they were able to reach their goal faster with the Hyperbolic Tree browser than with a conventional browser. When users detected a weak scent or no scent, they were less efficient in visually searching the areas of the Hyperbolic display that had a higher density of visual items. Two countervailing processes appear to affect visual attention in the Hyperbolic display: (1) Strong information scent expands the spotlight of attention, whereas (2) the crowding of targets in a compressed region narrows it. We interpret these results through an integration of the CODE Theory of Visual Attention with information foraging theory. Keywords Focus+context, Hyperbolic Tree, information foraging, information scent, information visualization, visu...
Peter Pirolli, Stuart K. Card, Mija M. Van Der Wege
CHI3
2000 The Effect of Information Scent on Searching - Information Visualization of Large Tree Structures
abstract
Focus + context information visualizations have sought to amplify human cognition by increasing the amount of information immediately available to the user. We study how the focus + context distortion of the Hyperbolic Tree browser affects information foraging behavior in a task similar to the CHI '97 Browse Off. In comparison to a more conventional browser, Hyperbolic users searched more nodes, searched at a faster rate, and showed more learning. However, the performance of the Hyperbolic was found to be highly affected by “information scent”, proximal cues to the value of distal information. Strong information scent made hyperbolic search faster than with a conventional browser. Conversely, weak scent put the hyperbolic tree at a disadvantage. There appears to be two countervailing processes affecting visual attention in these displays: strong information scent expands the spotlight of attention whereas crowding of targets in the compressed region of the Hyperbolic narrows it. The results suggest design improvements.
Peter Pirolli, Stuart K. Card, Mija M. Van Der Wege
Advanced Visual Interfaces3