Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Kyung Wha Hong

dblp:98/11079 · DBLP profile ↗
← Back
2ranked-venue papers
1as first author
0since 2021 · last 2014
—ORCID · none

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

Human-computer interaction and ubiquitous computing · 2 · 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.

Human-computer interaction and pervasive computing
1 paper
Usability and user experience research · 100%

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

TopicWeightPapersLastEvidence papers
Usability and user experience research › human performance modeling
predictive human performance modeling
0.212014
Novice use of a predictive human performance modeling tool to produce UI recommendations · CHI 2014

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

user study · 0.2
YearPublicationVenuePosition
2014 Novice use of a predictive human performance modeling tool to produce UI recommendations
abstract
This note describes two studies of the use of a performance modeling tool, CogTool, for making recommendations to improve a user interface. The first study replicates findings by Bonnie John [7]: the rates at which novice modelers made correct recommendations (88.1%) and supported them (68.2%) are close to the values in John's study (91.7% and 75.1%, respectively). A follow-on study of novice modelers on the same task without CogTool produced sig-nificantly lower values. CogTool improves the UI design recommendations made by novices.
Kyung Wha Hong, Robert St. Amant
CHI1
2012 Pointing at responsive objects outdoors
abstract
In this paper we analyze pointing techniques for simple remote control of nearby and distant objects in an outdoor environment, using a mobile phone. In an experiment we determine the accuracy of pointing at targets from a few meters to a few hundred meters away, either by focusing the phone's camera on a target or holding the phone at waist level in the direction of the target. We describe a simulated network application in which users can activate and control one or more responsive objects using either interaction technique.
YangLei Zhao, Arpan Chakraborty, Kyung Wha Hong, Shishir Kakaraddi, Robert St. Amant
IUI3