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Cheryl Bowers

dblp:135/7634 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 1986
—ORCID · none

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

Human-computer interaction and ubiquitous computing · 2

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
Learning and educational technologies · 50% Usability and user experience research · 50%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Learning and educational technologies › skill training
computer training
0.011982
Learner characteristics that predict success in using a text-editor tutorial · CHI 1982

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

learner characteristic analysis · 0.0
YearPublicationVenuePosition
1986 Learning to Use a Text Editor: Some Learner Characteristics That Predict Success
abstract
Why do some people have much more difficulty than others in learning a computer-based skill? To answer this question, we observed first-time users of computers as they learned to use a computer text editor. In two experiments, older people had more trouble than younger people and those who scored low on a standard test of spatial memory had greater difficulty than high scorers. These correlations were stable over several hours of practice and did not vary as a function of the type of terminal used or specific editing problems attempted. Correlations involving age and spatial memory could not be explained by other characteristics such as amount of education, reasoning ability, or associative memory ability. Results like these that relate learning difficulty to specific characteristics of people ultimately may suggest ways to change computer interface design or training to accommodate a wider range of users.
Louis M. Gomez, Dennis E. Egan, Cheryl Bowers
Hum. Comput. Interact.3
1982 Learner characteristics that predict success in using a text-editor tutorial
abstract
Today, it is not unusual for secretaries to use computer-based word-processing systems to deal with manuscripts, correspondence, and memos. In the future, such functions as updating personal calendars, filing, and leaving messages undoubtedly will be handled by computers. For all these functions, people without a technical background are required to interact effectively with a computer system.
Dennis E. Egan, Cheryl Bowers, Louis M. Gomez
CHI2