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Yuexing Luo

dblp:144/5418 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2015
—ORCID · none

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

Human-computer interaction and ubiquitous computing · 2 · 2 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.

Human-computer interaction and pervasive computing
2 papers
Interaction techniques and input · 79% User interface design and tools · 21%

Topics — the 7 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Interaction techniques and input › selection techniques › command selection › menu interaction
marking menus
0.212015
Pin-and-Cross: A Unimanual Multitouch Technique Combining Static Touches with Crossing Selection · UIST 2015
Interaction techniques and input › touch interaction
multi-touch interaction
0.212015
Pin-and-Cross: A Unimanual Multitouch Technique Combining Static Touches with Crossing Selection · UIST 2015
User interface design and tools › menu design
radial menu
0.212015
Pin-and-Cross: A Unimanual Multitouch Technique Combining Static Touches with Crossing Selection · UIST 2015
Interaction techniques and input › selection techniques
crossing-based selection
0.212014
Crossing-based selection with direct touch input · CHI 2014
Interaction techniques and input › touch interaction
touch input
0.212014
Crossing-based selection with direct touch input · CHI 2014
Interaction techniques and input
touch interaction
0.212014
Crossing-based selection with direct touch input · CHI 2014
Interaction techniques and input › target selection › pointing
fitts' law
0.112014
Crossing-based selection with direct touch input · CHI 2014

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

formative study · 0.2controlled experiment · 0.2fitts' law · 0.2empirical study · 0.2
YearPublicationVenuePosition
2015 Pin-and-Cross: A Unimanual Multitouch Technique Combining Static Touches with Crossing Selection
abstract
We define, explore, and demonstrate a new multitouch interaction space called "pin-and-cross." It combines one or more static touches ("pins") with another touch to cross a radial target, all performed with one hand. A formative study reveals pin-and-cross kinematic characteristics and evaluates fundamental performance and preference for target angles. These results are used to form design guidelines and recognition heuristics for pin-and-cross menus invoked with one and two pin fingers on first touch or after a drag. These guidelines are used to implement different pin-and-cross techniques. A controlled experiment compares a one finger pin-and-cross contextual menu to a Marking Menu and partial Pie Menu: pin-and-cross is just as accurate and 27% faster when invoked on a draggable object. A photo app demonstrates more pin-and-cross variations for extending two-finger scrolling, selecting modes while drawing, constraining two-finger transformations, and combining pin-and-cross with a Marking Menu.
Yuexing Luo, Daniel Vogel 0001
UIST1
2014 Crossing-based selection with direct touch input
abstract
Fundamental performance results for crossing-based selec-tion tasks with direct touch input are presented. A close adaptation of Accot and Zhai's indirect stylus crossing ex-periment reveals similar trends for direct touch input: touch crossing task time is faster or equivalent to touch pointing; continuous selection of large orthogonal crossing targets is most effective; and continuous selection of small collinear targets is least effective. Unlike indirect stylus and mouse crossing, not every kind of direct touch pointing perfor-mance is modeled accurately with standard Fitts' law. Instead, Fitts' law, used previously for touch pointing with small targets, is used to more accurately model discrete touch crossing with a directionally constrained target. In addition, visual touch feedback is shown to have a strong effect on absolute accuracy. Our work empirically validates touch crossing as a practical and efficient selection technique, and motivates the exploration of novel forms of expressive multi-touch crossing.
Yuexing Luo, Daniel Vogel 0001
CHI1