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Hidekazu Shidara

dblp:239/7660 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 1Human-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.

Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%
Human-computer interaction and pervasive computing
1 paper
Collaborative and social computing · 77% Interaction techniques and input · 23%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Visualization and visual analytics
text visualization
0.412019
TalkTraces: Real-Time Capture and Visualization of Verbal Content in Meetings · CHI 2019
Visualization and visual analytics › text visualization
topic visualization
0.412019
TalkTraces: Real-Time Capture and Visualization of Verbal Content in Meetings · CHI 2019
Collaborative and social computing › groupware
meeting support
0.412019
TalkTraces: Real-Time Capture and Visualization of Verbal Content in Meetings · CHI 2019
Interaction techniques and input
voice interaction
0.112019
TalkTraces: Real-Time Capture and Visualization of Verbal Content in Meetings · CHI 2019

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

word embedding · 0.8topic modeling · 0.8
YearPublicationVenuePosition
2020 Analyzing gaze behavior for text-embellished narrative visualizations under different task scenarios
abstract
We conduct an eye tracking study to investigate perception text-embellished narrative visualizations under different task conditions. Study stimuli are data visualizations embellished with text-based elements: annotations, captions, labels, and descriptive text. We consider three common viewing tasks that occur when these types of graphics are viewed: (1) simple observation, (2) active search to answer a query, and (3) information memorization for later recall. The overarching goal is to understand, at a perceptual level, if and how task affects how these visualizations are interacted with. By analyzing collected gaze data and conducting advanced semantic scanpath analysis, we find, at a high level, diverse patterns of gaze behavior: simple observation and information memorization lead to similar optical viewing strategies, while active search significantly diverges, both in regards to which areas of the visualization are focused upon and how often embellishments are interacted with. We discuss study outcomes in the context of embellishing visualizations with text for various usage scenarios.
Chris Bryan, Aditi Mishra, Hidekazu Shidara, Kwan-Liu Ma
Vis. Informatics3
2019 TalkTraces: Real-Time Capture and Visualization of Verbal Content in Meetings
abstract
Group Support Systems provide ways to review and edit shared content during meetings, but typically require participants to explicitly generate the content. Recent advances in speech-to-text conversion and language processing now make it possible to automatically record and review spoken information. We present the iterative design and evaluation of TalkTraces, a real-time visualization that helps teams identify themes in their discussions and obtain a sense of agenda items covered. We use topic modeling to identify themes within the discussions and word embeddings to compute the discussion "relatedness" to items in the meeting agenda. We evaluate TalkTraces iteratively: we first conduct a comparative between-groups study between two teams using TalkTraces and two teams using traditional notes, over four sessions. We translate the findings into changes in the interface, further evaluated by one team over four sessions. Based on our findings, we discuss design implications for real-time displays of discussion content.
Senthil K. Chandrasegaran, Chris Bryan, Hidekazu Shidara, Tung-Yen Chuang, Kwan-Liu Ma
CHI3