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David Rosenblitt

dblp:36/1941 · DBLP profile ↗
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4ranked-venue papers
0as first author
0since 2021 · last 1991
—ORCID · none

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

Human-computer interaction and ubiquitous computing · 2Artificial intelligence and machine learning · 1Databases, data management, data science and information retrieval · 1Graphics, computer vision, multimedia, augmented reality and games · 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
3 papers
Collaborative and social computing · 78% User interface design and tools · 22%
Artificial intelligence
2 papers
Planning, search and constraint satisfaction · 85% Knowledge representation and reasoning · 15%

Topics — the 6 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Collaborative and social computing
computer-supported cooperative work
0.021987
Semistructured Messages Are Surprisingly Useful for Computer-Supported Coordination · ACM Trans. Inf. Syst. 1987
Semi-structured messages are surprisingly useful for computer-supported coordination · CSCW 1986
Collaborative and social computing › computer-supported cooperative work › coordination mechanisms
coordination technology
0.021987
Semistructured Messages Are Surprisingly Useful for Computer-Supported Coordination · ACM Trans. Inf. Syst. 1987
Semi-structured messages are surprisingly useful for computer-supported coordination · CSCW 1986
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › classical planning
nonlinear planning
0.011991
Systematic Nonlinear Planning · AAAI 1991
Collaborative and social computing › computer-supported cooperative work
email use
0.011989
How do experienced information lens users use rules? · CHI 1989
User interface design and tools › customization
end-user customization
0.011989
How do experienced information lens users use rules? · CHI 1989
Knowledge, reasoning and agents › Knowledge representation and reasoning › knowledge-based systems › rule-based systems
production rules
0.011987
Semistructured Messages Are Surprisingly Useful for Computer-Supported Coordination · ACM Trans. Inf. Syst. 1987

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

semistructured messages · 0.0production rules · 0.0inheritance · 0.0longitudinal field study · 0.0graphical editors · 0.0graphical editor · 0.0
YearPublicationVenuePosition
1991 Systematic Nonlinear Planning
David A. McAllester, David Rosenblitt
AAAI2
1989 How do experienced information lens users use rules?
abstract
The Information Lens provides electronic mail users with the ability to write rules that automatically sort, select, and filter their messages. This paper describes preliminary results from an eighteen-month investigation of the use of this system at a corporate test site. We report the experiences of 13 voluntary users who have each had at least three months experience with the most recent version of the system. We found that:
Wendy E. Mackay, Thomas W. Malone, Kevin Crowston, Ramana Rao, David Rosenblitt, Stuart K. Card
CHI5
1987 Semistructured Messages Are Surprisingly Useful for Computer-Supported Coordination
abstract
This paper argues that using a set of semistructured message templates is surprisingly helpful in designing a variety of computer-based communication and coordination systems. Semistructured messages can help provide automatic aids for (1) composing messages to be sent, (2) selecting, sorting, and prioritizing messages that are received, (3) responding automatically to some messages, and (4) suggesting likely responses to other messages. The use of these capabilities is illustrated in a range of applications including electronic mail, computer conferencing, calendar management, and task tracking. The applications show how ideas from artificial intelligence (such as inheritance and production rules) and ideas from user interface design (such as interactive graphical editors) can be combined in novel ways for dealing with semistructured messages. The final part of the paper discusses how communities can evolve a useful set of message type definitions.
Thomas W. Malone, Kenneth R. Grant, Kum-Yew Lai, Ramana Rao, David Rosenblitt
ACM Trans. Inf. Syst.5
1986 Semi-structured messages are surprisingly useful for computer-supported coordination
abstract
This paper argues that using a set of semi-structured message templates is surprisingly helpful in designing a variety of computer-based communication and coordination systems. Semi-structured messages can help provide automatic aids for: (1) composing messages to be sent, (2) selecting, sorting, and prioritizing messages that are received, (3) responding automatically to some messages, and (4) suggesting likely responses to other messages. The use of these capabilities is illustrated in a range of applications including electronic mail, computer conferencing, calendar management, and task tracking. The applications show how ideas from artificial intelligence (such as inheritance and production rules) and ideas from user interface design (such as interactive graphical editors) can be combined in novel ways for dealing with semi-structured messages. The final part of the paper discusses how communities can evolve a useful set of message type definitions.
Thomas W. Malone, Kenneth R. Grant, Kum-Yew Lai, Ramana Rao, David Rosenblitt
CSCW5