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Mildred L. G. Shaw

dblp:31/116 · DBLP profile ↗
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21ranked-venue papers
6as 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 · 10 · 5 first-authorDatabases, data management, data science and information retrieval · 6 · 1 first-authorArtificial intelligence and machine learning · 3Software engineering, systems software and programming languages · 3 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 3

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.

Artificial intelligence
6 papers
Knowledge representation and reasoning · 92% Probabilistic and Bayesian machine learning · 8%
Human-computer interaction and pervasive computing
8 papers
Learning and educational technologies · 32% Human-AI interaction · 21% Collaborative and social computing · 20%
Computer graphics and multimedia
1 paper
Multimedia systems and quality of experience · 100%

Topics — the 9 heaviest of 17, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Knowledge representation and reasoning
knowledge acquisition
0.041997
Knowledge acquisition, modelling and inference through the World Wide Web · Int. J. Hum. Comput. Stud. 1997
Using Knowledge Acquisition and Representation Tools to Support Scientific Communities · AAAI 1994
Eliciting Knowledge and Transferring It Effectively to a Knowledge-Based System · IEEE Trans. Knowl. Data Eng. 1993
Learning and educational technologies
concept mapping
0.011995
Concept maps as hypermedia components · Int. J. Hum. Comput. Stud. 1995
Knowledge, reasoning and agents › Knowledge representation and reasoning › knowledge acquisition
expert knowledge elicitation
0.011993
Eliciting Knowledge and Transferring It Effectively to a Knowledge-Based System · IEEE Trans. Knowl. Data Eng. 1993
Machine learning › Probabilistic and Bayesian machine learning
statistical inference
0.011997
Knowledge acquisition, modelling and inference through the World Wide Web · Int. J. Hum. Comput. Stud. 1997
User interface design and tools › interaction design
dialog design
0.011986
Foundations of Dialog Engineering: The Development of Human-Computer Interaction, Part II · Int. J. Man Mach. Stud. 1986
Knowledge, reasoning and agents › Knowledge representation and reasoning
ontology
0.011994
Using Knowledge Acquisition and Representation Tools to Support Scientific Communities · AAAI 1994
Knowledge, reasoning and agents › Knowledge representation and reasoning
knowledge-based systems
0.011993
Eliciting Knowledge and Transferring It Effectively to a Knowledge-Based System · IEEE Trans. Knowl. Data Eng. 1993
Ubiquitous computing and smart environments
home networking
0.011991
Supporting personal networking through computer networking · CHI 1991
Knowledge, reasoning and agents › Knowledge representation and reasoning › knowledge acquisition
knowledge elicitation
0.011980
New Directions in the Analysis and Interactive Elicitation of Personal Construct Systems · Int. J. Man Mach. Stud. 1980

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

knowledge acquisition tools · 0.0repertory grid · 0.0open architecture · 0.0construing · 0.0knowledge transfer · 0.0knowledge initiation · 0.0
YearPublicationVenuePosition
2003 An exploratory study of facilitation in distributed requirements engineering
Daniela E. Damian, Armin Eberlein, Mildred L. G. Shaw, Brian R. Gaines
Requir. Eng.3
2001 An Empirical Study of Facilitation of Computer-Mediated Distributed Requirements Negotiations
abstract
Group facilitation is an important element of group approaches to requirements engineering (RE). The facilitation in traditional face-to-face groups is challenged by the increased globalization of the software industry. Thorough empirical investigation of human facilitation in computer-mediated requirements meetings is needed. This paper presents findings about the facilitation of distributed group settings in a controlled environment. Three professional facilitators mediate 15 three-person groups negotiating software requirements. Facilitation in face-to-face meetings is contrasted with four group settings in which the facilitator is physically separated from the group or co-located with key stakeholders. Rich qualitative and behavioral data enables an understanding of differences and similarities in the facilitation of the distributed groups and of aspects that were detrimental or beneficial to their facilitation. The empirical evidence indicates a reduced richness of social behaviors in computer-mediated group settings which: made the group facilitation problematic; but also enabled certain facilitation support in the medium itself.
Daniela E. Damian, Mildred L. G. Shaw, Armin Eberlein, Brian R. Gaines, J. Brian Woodward
RE2
1997 Knowledge acquisition, modelling and inference through the World Wide Web
Brian R. Gaines, Mildred L. G. Shaw
Int. J. Hum. Comput. Stud.2
1997 Modeling the Human Factors of Scholarly Communities Supported Through the Internet and World Wide Web
abstract
The Internet (the net) and World Wide Web (the web) have grown rapidly in the past decade and have come to play a major role in supporting discourse and publication in scholarly communities. The development and application of new services has been very rapid with little central planning, and despite the widespread use, there is little information as yet on the human factors of the use of the net and web. In particular, models of the human factors of individuals interacting with workstations have to be extended to take into account the essential social aspects of computer-mediated discourse and publication. This article provides a framework for analyzing the utility, usability, and likeability of net and web services, and illustrates its application to significant aspects of supporting scholarly communities. The utility of the net and web are measured in terms of the growth of usage, and the different services involved are distinguished in terms of their specific utilities. A layered protocol model is used to model discourse through the net, and is extended to encompass interaction in communities. An operational criterion for distinguishing different communities is defined in terms of the types of awareness that resource providers and users have of one another. A temporal model of discourse processes is developed that enables the spectrum of services ranging from real-time discourse to long-term publication to be analyzed in a unified framework. The dimensions of awareness and time are used to characterize and compare the full range of net services, and model their unification through the next generation of web browsers. © 1997 John Wiley & Sons, Inc.
Brian R. Gaines, Lee Li-Jen Chen, Mildred L. G. Shaw
J. Am. Soc. Inf. Sci.3
1995 Concept maps as hypermedia components
Brian R. Gaines, Mildred L. G. Shaw
Int. J. Hum. Comput. Stud.2
1994 Using Knowledge Acquisition and Representation Tools to Support Scientific Communities
Brian R. Gaines, Mildred L. G. Shaw
AAAI2
1993 Open Architecture Multimedia Documents
abstract
No abstract available.
Brian R. Gaines, Mildred L. G. Shaw
ACM Multimedia2
1993 Eliciting Knowledge and Transferring It Effectively to a Knowledge-Based System
abstract
The knowledge acquisition bottleneck impeding the development of expert systems is being alleviated by the development of computer-based knowledge acquisition tools. These work directly with experts to elicit knowledge, and structure it appropriately to operate as a decision support tool within an expert system. However, the elicitation of expert knowledge and its effective transfer to a useful knowledge-based system is complex and involves diverse activities. The complete development of a decision support system using knowledge acquisition tools is illustrated. The example is simple enough to be completely analyzed but exhibits enough real-world characteristics to give significant insights into the processes and problems of knowledge engineering.>
Brian R. Gaines, Mildred L. G. Shaw
IEEE Trans. Knowl. Data Eng.2
1992 The Synthesis of Knowledge Engineering and Software Engineering
Mildred L. G. Shaw, Brian R. Gaines
CAiSE1
1992 Combining paradigms in knowledge engineering
Brian R. Gaines, Alain T. Rappaport, Mildred L. G. Shaw
Data Knowl. Eng.3
1992 Integrated Knowledge Acquisition Architectures
Brian R. Gaines, Mildred L. G. Shaw
J. Intell. Inf. Syst.2
1991 Supporting personal networking through computer networking
abstract
No abstract available.
Mildred L. G. Shaw, Brian R. Gaines
CHI1
1989 Comparing the Conceptual Systems of Experts
Brian R. Gaines, Mildred L. G. Shaw
IJCAI2
1988 Validation in a Knowledge Support System: Construing and Consistency with Multiple Experts
Mildred L. G. Shaw, J. Brian Woodward
Int. J. Man Mach. Stud.1
1987 KITTEN: Knowledge Initiation and Transfer Tools for Experts and Novices
Mildred L. G. Shaw, Brian R. Gaines
Int. J. Man Mach. Stud.1
1986 From Timesharing to the Sixth Generation: The Development of Human-Computer Interaction, Part I
Brian R. Gaines, Mildred L. G. Shaw
Int. J. Man Mach. Stud.2
1986 Foundations of Dialog Engineering: The Development of Human-Computer Interaction, Part II
Brian R. Gaines, Mildred L. G. Shaw
Int. J. Man Mach. Stud.2
1985 From fuzzy logic to expert systems
Brian R. Gaines, Mildred L. G. Shaw
Inf. Sci.2
1980 New Directions in the Analysis and Interactive Elicitation of Personal Construct Systems
Brian R. Gaines, Mildred L. G. Shaw
Int. J. Man Mach. Stud.2
1980 Advances in Personal Construct Technology - Editorial
Mildred L. G. Shaw
Int. J. Man Mach. Stud.1
1980 ARGUS: A Program to Explore Intra-Personal Personalities
Mildred L. G. Shaw, Cliff McKnight
Int. J. Man Mach. Stud.1