Steven M. Miller 0001

dblp:20/1843-3 · also Steven Miller 0003 · DBLP profile ↗
← Back
3ranked-venue papers
0as first author
0since 2021 · last 2007
0000-0001-6045-3552ORCID · verified

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

Databases, data management, data science and information retrieval · 2Human-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.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational social science and digital humanities · 100%
Software engineering, system software, and programming languages
1 paper
Requirements engineering and software design · 100%
Human-computer interaction and pervasive computing
1 paper
Human-AI interaction · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational social science and digital humanities
organizational computing
0.011995
Exceptions and Exception Handling in Computerized Information Processes · ACM Trans. Inf. Syst. 1995
Human-AI interaction
human-computer integration
0.011995
Exceptions and Exception Handling in Computerized Information Processes · ACM Trans. Inf. Syst. 1995

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

total quality management · 0.0political system perspective · 0.0in-depth case study · 0.0
YearPublicationVenuePosition
2007 Modeling semantics in composite Web service requests by utility elicitation
Qianhui Althea Liang, Jen-Yao Chung, Steven M. Miller 0001
Knowl. Inf. Syst.3
1995 Exceptions and Exception Handling in Computerized Information Processes
abstract
Exceptions, situations that cannot be correctly processed by computer systems, occur frequently in computer-based information processes. Five perspectives on exceptions provide insights into why exceptions occur and how they might be eliminated or more efficiently handled. We investigate these perspectives using an in-depth study of an operating information process that has frequent exceptions. Our results support the use of a total quality management (TQM) approach of eliminating exceptions for some exceptions, in particular, those caused by computer systems that are poor matches to organizational processes. However, some exceptions are explained better by a political system perspective of conflicting goals between subunits. For these exceptions and several other types, designing an integrated human-computer process will provide better performance than will eliminating exceptions and moving toward an entirely automated process.
Diane M. Strong, Steven M. Miller 0001
ACM Trans. Inf. Syst.2
1989 A field-based study of troubleshooting in computer-controlled manufacturing systems
abstract
Methods are described for collecting and analyzing data derived from the observation of troubleshooting in computer-controlled manufacturing systems. The data were collected by direct observation of troubleshooting episodes and by obtaining retrospective reports from the subjects immediately following the episodes. To analyze the data, the following attributes of each activity within each episode were characterized: the information source consulted, the beliefs held, the action performed, and the reasons given. Initial findings concerning information acquisitions, information utilization, and sources of difficulty in troubleshooting are presented. The authors found that troubleshooters consult a multiplicity of information sources, of which the displays to process control computers is but one of many sources referred to frequently.>
Susan R. Bereiter, Steven M. Miller 0001
IEEE Trans. Syst. Man Cybern.2