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M. W. Scerbo

dblp:73/205 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1983
—ORCID · none

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

Databases, 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
1 paper
Usability and user experience research · 56% Interaction techniques and input · 44%

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

TopicWeightPapersLastEvidence papers
Usability and user experience research › human performance modeling
keystroke-level model
0.011983
Details of Command-Language Keystrokes · ACM Trans. Inf. Syst. 1983
Interaction techniques and input
text entry
0.011983
Details of Command-Language Keystrokes · ACM Trans. Inf. Syst. 1983
Usability and user experience research › cognitive modeling
cognitive models of interaction
0.011983
Details of Command-Language Keystrokes · ACM Trans. Inf. Syst. 1983

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

keystroke-level model · 0.0cognitive process modeling · 0.0
YearPublicationVenuePosition
1983 Details of Command-Language Keystrokes
abstract
KeystrokesThe Keystroke-Level Model asserts that the time for an expert to enter a task using a command language is a function of specific task-acquisition, mental, and motor-response times.The evidence for the model is critically reviewed, and new data are presented.The fit of the new data to the model is modest even when several modifications of the model are considered.It is proposed that a more complex model, based explicitly on cognitive processes, is necessary.
Robert B. Allen, M. W. Scerbo
ACM Trans. Inf. Syst.2