User-oriented generation of contextual visualization sequences

Yu Rong Cao; Jia Yu Pan; Wen-Chieh Lin

doi:10.1145/3334480.3383057

User-oriented generation of contextual visualization sequences

Yu Rong Cao, Jia Yu Pan, Wen-Chieh Lin

Institute of Multimedia Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

Abstract

A visualization sequence is an effective representation of meaningful data stories.Existing visualization sequencing approaches use heuristics to arrange charts in a meaningful order.While they perform well in specific scenarios, they do not customize the generated sequences to individual users' preferences. In this work, we present VisGuide, an assistive data exploration system that helps a user create contextual visualization sequence trees by sequentially recommending meaningful charts tailoring to the user's preference on data exploration. Our results show that VisGuide can recommend chart sequences that interest users and are also considered meaningful by domain experts.

Original language	English
Title of host publication	CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems
Publisher	Association for Computing Machinery
ISBN (Electronic)	9781450368193
DOIs	https://doi.org/10.1145/3334480.3383057
State	Published - 25 Apr 2020
Event	2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020 - Honolulu, United States Duration: 25 Apr 2020 → 30 Apr 2020

Publication series

Name	Conference on Human Factors in Computing Systems - Proceedings

Conference

Conference	2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020
Country/Territory	United States
City	Honolulu
Period	25/04/20 → 30/04/20

Keywords

Data-driven storytelling
User preference adaptation
Visualization sequencing

Access to Document

10.1145/3334480.3383057

Cite this

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title = "User-oriented generation of contextual visualization sequences",

abstract = "A visualization sequence is an effective representation of meaningful data stories.Existing visualization sequencing approaches use heuristics to arrange charts in a meaningful order.While they perform well in specific scenarios, they do not customize the generated sequences to individual users' preferences. In this work, we present VisGuide, an assistive data exploration system that helps a user create contextual visualization sequence trees by sequentially recommending meaningful charts tailoring to the user's preference on data exploration. Our results show that VisGuide can recommend chart sequences that interest users and are also considered meaningful by domain experts.",

keywords = "Data-driven storytelling, User preference adaptation, Visualization sequencing",

author = "Cao, {Yu Rong} and Pan, {Jia Yu} and Wen-Chieh Lin",

note = "Publisher Copyright: {\textcopyright} 2020 Owner/Author.; 2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020 ; Conference date: 25-04-2020 Through 30-04-2020",

year = "2020",

month = apr,

day = "25",

doi = "10.1145/3334480.3383057",

language = "English",

series = "Conference on Human Factors in Computing Systems - Proceedings",

publisher = "Association for Computing Machinery",

booktitle = "CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems",

}

Cao, YR, Pan, JY & Lin, W-C 2020, User-oriented generation of contextual visualization sequences. in CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems., 3383057, Conference on Human Factors in Computing Systems - Proceedings, Association for Computing Machinery, 2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020, Honolulu, United States, 25/04/20. https://doi.org/10.1145/3334480.3383057

User-oriented generation of contextual visualization sequences. / Cao, Yu Rong; Pan, Jia Yu; Lin, Wen-Chieh.
CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 2020. 3383057 (Conference on Human Factors in Computing Systems - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - User-oriented generation of contextual visualization sequences

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AU - Pan, Jia Yu

AU - Lin, Wen-Chieh

PY - 2020/4/25

Y1 - 2020/4/25

N2 - A visualization sequence is an effective representation of meaningful data stories.Existing visualization sequencing approaches use heuristics to arrange charts in a meaningful order.While they perform well in specific scenarios, they do not customize the generated sequences to individual users' preferences. In this work, we present VisGuide, an assistive data exploration system that helps a user create contextual visualization sequence trees by sequentially recommending meaningful charts tailoring to the user's preference on data exploration. Our results show that VisGuide can recommend chart sequences that interest users and are also considered meaningful by domain experts.

AB - A visualization sequence is an effective representation of meaningful data stories.Existing visualization sequencing approaches use heuristics to arrange charts in a meaningful order.While they perform well in specific scenarios, they do not customize the generated sequences to individual users' preferences. In this work, we present VisGuide, an assistive data exploration system that helps a user create contextual visualization sequence trees by sequentially recommending meaningful charts tailoring to the user's preference on data exploration. Our results show that VisGuide can recommend chart sequences that interest users and are also considered meaningful by domain experts.

KW - Data-driven storytelling

KW - User preference adaptation

KW - Visualization sequencing

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U2 - 10.1145/3334480.3383057

DO - 10.1145/3334480.3383057

M3 - Conference contribution

AN - SCOPUS:85090202284

T3 - Conference on Human Factors in Computing Systems - Proceedings

BT - CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems

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Y2 - 25 April 2020 through 30 April 2020

ER -

User-oriented generation of contextual visualization sequences

Abstract

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Keywords

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