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Shung-Ying Lin

dblp:194/9625 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2017
—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
Collaborative and social computing · 50% User interface design and tools · 22% Interaction techniques and input · 22%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Interaction techniques and input
annotation
0.312017
AlphaRead: Support Unambiguous Referencing in Remote Collaboration with Readable Object Annotation · CSCW 2017
User interface design and tools › visualization
object labeling
0.312017
AlphaRead: Support Unambiguous Referencing in Remote Collaboration with Readable Object Annotation · CSCW 2017
Collaborative and social computing
remote collaboration
0.312017
AlphaRead: Support Unambiguous Referencing in Remote Collaboration with Readable Object Annotation · CSCW 2017
Collaborative and social computing › remote collaboration
video-mediated collaboration
0.312017
AlphaRead: Support Unambiguous Referencing in Remote Collaboration with Readable Object Annotation · CSCW 2017
Collaborative and social computing › computer-supported cooperative work › collaborative applications
collaborative physical tasks
0.112017
AlphaRead: Support Unambiguous Referencing in Remote Collaboration with Readable Object Annotation · CSCW 2017
Human-robot interaction › robot communication
referential communication
0.112017
AlphaRead: Support Unambiguous Referencing in Remote Collaboration with Readable Object Annotation · CSCW 2017

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

field study · 0.3
YearPublicationVenuePosition
2017 AlphaRead: Support Unambiguous Referencing in Remote Collaboration with Readable Object Annotation
abstract
As experts and expertise are increasingly distributed across distance, remote collaboration on physical tasks also becomes popular. Physical collaboration requires collaborators to produce and resolve references to physical objects unambiguously. We present a novel annotation system called AlphaRead that enables users to add and see readable annotations of physical objects, such as labels in letter, in a dynamic video-mediated workspace. Explicit support for object readability can help people coordinate language and vision for collaboration, and allow them to directly read out object labels as a way to make unambiguous references. Object readability as a resource of linguistic references can reduce the ambiguity and complexity associated with traditional methods of referential expressions such as deictic pronouns ("this" or "that") or descriptions of object attributes. In a video-mediated collaboration study, by making objects referable with readable labels, we improved the communication efficiency over the alternative options of using raw video or video with non-readable annotations to collaborate. We also identified patterns of language behaviors that people exhibited with readable labels and discussed the implications to the design of collaboration support tools.
Yuan-Chia Chang, Hao-Chuan Wang, Hung-Kuo Chu, Shung-Ying Lin, Shuo-Ping Wang
CSCW4