Danielle Kong

dblp:179/5209 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2016
0009-0007-2483-464XORCID · reported

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
Interaction techniques and input · 100%

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

TopicWeightPapersLastEvidence papers
Interaction techniques and input
text entry
0.212016
DriftBoard: A Panning-Based Text Entry Technique for Ultra-Small Touchscreens · UIST 2016
Interaction techniques and input › text entry
touchscreen typing
0.212016
DriftBoard: A Panning-Based Text Entry Technique for Ultra-Small Touchscreens · UIST 2016
Interaction techniques and input
touch interaction
0.112016
DriftBoard: A Panning-Based Text Entry Technique for Ultra-Small Touchscreens · UIST 2016
YearPublicationVenuePosition
2016 DriftBoard: A Panning-Based Text Entry Technique for Ultra-Small Touchscreens
abstract
Emerging ultra-small wearables like smartwatches pose a design challenge for touch-based text entry. This is due to the "fat-finger problem," wherein users struggle to select elements much smaller than their fingers. To address this challenge, we developed DriftBoard, a panning-based text entry technique where the user types by positioning a movable qwerty keyboard on an interactive area with respect to a fixed cursor point. In this paper, we describe the design and implementation of DriftBoard and report results of a user study on a watch-size touchscreen. The study compared DriftBoard to two ultra-small keyboards, ZoomBoard (tapping-based) and Swipeboard (swiping-based). DriftBoard performed comparably (no significant difference) to ZoomBoard in the major metrics of text entry speed and error rate, and outperformed Swipeboard, which suggests that panning-based typing is a promising input method for text entry on ultra-small touchscreens.
Tomoki Shibata, Daniel Afergan, Danielle Kong, Beste F. Yuksel, I. Scott MacKenzie, Robert J. K. Jacob
UIST3