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Arna Ionescu

dblp:35/5136 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2004
—ORCID · none

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

Human-computer interaction and ubiquitous computing · 1

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.

Human-computer interaction and pervasive computing
1 paper
Collaborative and social computing · 77% Ubiquitous computing and smart environments · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Collaborative and social computing
collaborative design
0.012004
Where the wild things work: capturing shared physical design workspaces · CSCW 2004
Ubiquitous computing and smart environments › personal information management
capture and access
0.012004
Where the wild things work: capturing shared physical design workspaces · CSCW 2004

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

iterative design · 0.0field study · 0.0
YearPublicationVenuePosition
2004 Where the wild things work: capturing shared physical design workspaces
abstract
We have built and tested WorkspaceNavigator, which supports knowledge capture and reuse for teams engaged in unstructured, dispersed, and prolonged collaborative design activity in a dedicated physical workspace. It provides a coherent unified interface for post-facto retrieval of multiple streams of data from the work environment, including overview snapshots of the workspace, screenshots of in-space computers, whiteboard images, and digital photos of physical objects. This paper describes the design of WorkspaceNavigator and identifies key considerations for knowledge capture tools for design workspaces, which differ from those of more structured meeting or classroom environments. Iterative field tests in workspace environments for student teams in two graduate Mechanical Engineering design courses helped to identify features that augment the work of both course participants and design researchers.
Wendy Ju, Arna Ionescu, Lawrence Neeley, Terry Winograd
CSCW2