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Finbarr Taylor

dblp:07/606 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2009
—ORCID · none

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

Human-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.

Human-computer interaction and pervasive computing
1 paper
Haptics and multimodal interaction · 62% Interaction techniques and input · 38%

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

TopicWeightPapersLastEvidence papers
Interaction techniques and input › text entry
predictive text entry
0.012009
Tactile feedback for predictive text entry · CHI 2009
Interaction techniques and input
text entry
0.012009
Tactile feedback for predictive text entry · CHI 2009

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

user study · 0.1
YearPublicationVenuePosition
2009 Tactile feedback for predictive text entry
abstract
Predictive text entry provides a fast way to enter text on phones and other small devices. Early work on predictive text entry highlighted that the reaction time for checking the screen dominates text entry times. Improving accuracy of predictions brings a downside: as prediction gets better, users will drop the slow operation of checking the screen and will thus miss prediction errors and system feedback/suggestions. In this note, we present an experiment into the use of vibration to alert the user when word completion is likely to aid them, using a dynamic approach based on their current typing speed, and when there are no dictionary matches to their entry. Results show significantly faster entry rates for users with vibration alerts, raising speeds from 20wpm to 23wpm once practiced.
Mark D. Dunlop, Finbarr Taylor
CHI2