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John E. McEneaney

dblp:19/1685 · DBLP profile ↗
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3ranked-venue papers
3as first author
0since 2021 · last 2013
0000-0003-3385-358XORCID · corroborated

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

Human-computer interaction and ubiquitous computing · 2 · 2 first-authorApplied, interdisciplinary, general and emerging computing · 1 · 1 first-author

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.

Databases, data mining, and information retrieval
1 paper
Information retrieval · 100%
Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%

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

TopicWeightPapersLastEvidence papers
Information retrieval › user interaction
hypertext navigation
0.012001
Graphic and numerical methods to assess navigation in hypertext · Int. J. Hum. Comput. Stud. 2001
Visualization and visual analytics
graph visualization
0.012001
Graphic and numerical methods to assess navigation in hypertext · Int. J. Hum. Comput. Stud. 2001
YearPublicationVenuePosition
2013 Agency Effects in Human-Computer Interaction
abstract
The studies presented in this article explore a human-centered conceptualization of agents and agency based on the observation that people attribute agency to sufficiently complex interactive systems. Although agency attribution appears to be an unconscious human response, findings from social psychology, affective computing, and perceptual-motor studies suggest agency attribution influences human–computer interaction (HCI). Three studies are presented that examine whether recent findings on agency attribution in physical environments also apply in the virtual environments characteristic of HCI. Results of the studies indicate that agency effects operate in desktop computing environments. Agency effects, however, appear to be influenced by learning effects that preserve a previously observed relationship between perception and action but alter how this effect is expressed. Results suggest that there are both bottom-up and top-down contributions to agency effects in HCI.
John E. McEneaney
Int. J. Hum. Comput. Interact.1
2001 Graphic and numerical methods to assess navigation in hypertext
John E. McEneaney
Int. J. Hum. Comput. Stud.1
1998 Are less able readers disadvantaged by reading in electronic environments?
abstract
Reports on an empirical investigation of the relationship between print and hypertext reading skills. The subjects in the study were university students at a public Midwestern US university. A repeated-measures, counter-balanced design was employed. Subjects were categorized as high- and low-ability readers based on a standardized measure of reading achievement. The experimental tasks required subjects to answer questions using both print and hypertext versions of an academic advice handbook. A number of significant effects were observed, including a practice effect, a format effect that favored print over hypertext, and a question-set effect. Although this study provides support for the claim that readers find hypertext more difficult, there was no clear evidence that hypertext differentially disadvantages less able print readers.
John E. McEneaney
ISTAS1