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Kenneth R. Grant

dblp:50/106 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 1987
—ORCID · none

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

Human-computer interaction and ubiquitous computing · 2Databases, data management, data science and information retrieval · 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 · 81% User interface design and tools · 19%
Artificial intelligence
1 paper
Knowledge representation and reasoning · 100%

Topics — the 5 heaviest of 6, 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
Collaborative and social computing
collaborative filtering
0.011986
The information lens: an intelligent system for information sharing in organizations · CHI 1986
Collaborative and social computing
information sharing
0.011986
The information lens: an intelligent system for information sharing in organizations · CHI 1986
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 · 0.0graphical editors · 0.0graphical editor · 0.0
YearPublicationVenuePosition
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.2
1986 The information lens: an intelligent system for information sharing in organizations
Thomas W. Malone, Kenneth R. Grant, Franklyn A. Turbak
CHI2
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
CSCW2