No-click browsing of large hierarchical data

Toshiyuki Masui

doi:10.1109/VL/HCC50065.2020.9127280

No-click browsing of large hierarchical data

Toshiyuki Masui

Faculty of Environment and Information Studies

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

1 Citation (Scopus)

Abstract

We introduce a novel simple interaction technique for finding and browsing data in a large hierarchical database using only two keys.Finding data from a huge hierarchical database takes time because users should traverse the tree using a mouse or a keyboard, and click a "select"button to check the content. If the data was not appropriate, they should go to the next entry and perform the selection task again.In the past, when only a small number of "channels"were available from broadcast TV stations, users could simply rotate a television dial to select a channel and watch a program. We introduce a simple interaction technique called "Gear", with which users can select an entry from a large hierarchical database and browse it instantly, just like we could select a channel and enjoy a program using old television dials.

Original language	English
Title of host publication	Proceedings - 2020 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2020
Editors	Michael Homer, Felienne Hermans, Steven Tanimoto, Craig Anslow
Publisher	IEEE Computer Society
ISBN (Electronic)	9781728169019
DOIs	https://doi.org/10.1109/VL/HCC50065.2020.9127280
Publication status	Published - 2020 Aug
Event	2020 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2020 - Virtual, Dunedin, New Zealand Duration: 2020 Aug 10 → 2020 Aug 14

Publication series

Name	Proceedings of IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC
Volume	2020-August
ISSN (Print)	1943-6092
ISSN (Electronic)	1943-6106

Conference

Conference	2020 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2020
Country/Territory	New Zealand
City	Virtual, Dunedin
Period	20/8/10 → 20/8/14

Keywords

Gear
Hierarchical data
Information navigation
Input device
No-click browsing
Serencast

ASJC Scopus subject areas

Computational Theory and Mathematics
Human-Computer Interaction
Software

Access to Document

10.1109/VL/HCC50065.2020.9127280

Cite this

Masui, T. (2020). No-click browsing of large hierarchical data. In M. Homer, F. Hermans, S. Tanimoto, & C. Anslow (Eds.), Proceedings - 2020 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2020 [9127280] (Proceedings of IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC; Vol. 2020-August). IEEE Computer Society. https://doi.org/10.1109/VL/HCC50065.2020.9127280

No-click browsing of large hierarchical data. / Masui, Toshiyuki.
Proceedings - 2020 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2020. ed. / Michael Homer; Felienne Hermans; Steven Tanimoto; Craig Anslow. IEEE Computer Society, 2020. 9127280 (Proceedings of IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC; Vol. 2020-August).

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

Masui, T 2020, No-click browsing of large hierarchical data. in M Homer, F Hermans, S Tanimoto & C Anslow (eds), Proceedings - 2020 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2020., 9127280, Proceedings of IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC, vol. 2020-August, IEEE Computer Society, 2020 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2020, Virtual, Dunedin, New Zealand, 20/8/10. https://doi.org/10.1109/VL/HCC50065.2020.9127280

@inproceedings{0fa1bdb847074a09924e63a7923d3c8e,

title = "No-click browsing of large hierarchical data",

abstract = "We introduce a novel simple interaction technique for finding and browsing data in a large hierarchical database using only two keys.Finding data from a huge hierarchical database takes time because users should traverse the tree using a mouse or a keyboard, and click a {"}select{"}button to check the content. If the data was not appropriate, they should go to the next entry and perform the selection task again.In the past, when only a small number of {"}channels{"}were available from broadcast TV stations, users could simply rotate a television dial to select a channel and watch a program. We introduce a simple interaction technique called {"}Gear{"}, with which users can select an entry from a large hierarchical database and browse it instantly, just like we could select a channel and enjoy a program using old television dials.",

keywords = "Gear, Hierarchical data, Information navigation, Input device, No-click browsing, Serencast",

author = "Toshiyuki Masui",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2020 ; Conference date: 10-08-2020 Through 14-08-2020",

year = "2020",

month = aug,

doi = "10.1109/VL/HCC50065.2020.9127280",

language = "English",

series = "Proceedings of IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC",

publisher = "IEEE Computer Society",

editor = "Michael Homer and Felienne Hermans and Steven Tanimoto and Craig Anslow",

booktitle = "Proceedings - 2020 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2020",

}

TY - GEN

T1 - No-click browsing of large hierarchical data

AU - Masui, Toshiyuki

PY - 2020/8

Y1 - 2020/8

N2 - We introduce a novel simple interaction technique for finding and browsing data in a large hierarchical database using only two keys.Finding data from a huge hierarchical database takes time because users should traverse the tree using a mouse or a keyboard, and click a "select"button to check the content. If the data was not appropriate, they should go to the next entry and perform the selection task again.In the past, when only a small number of "channels"were available from broadcast TV stations, users could simply rotate a television dial to select a channel and watch a program. We introduce a simple interaction technique called "Gear", with which users can select an entry from a large hierarchical database and browse it instantly, just like we could select a channel and enjoy a program using old television dials.

AB - We introduce a novel simple interaction technique for finding and browsing data in a large hierarchical database using only two keys.Finding data from a huge hierarchical database takes time because users should traverse the tree using a mouse or a keyboard, and click a "select"button to check the content. If the data was not appropriate, they should go to the next entry and perform the selection task again.In the past, when only a small number of "channels"were available from broadcast TV stations, users could simply rotate a television dial to select a channel and watch a program. We introduce a simple interaction technique called "Gear", with which users can select an entry from a large hierarchical database and browse it instantly, just like we could select a channel and enjoy a program using old television dials.

KW - Gear

KW - Hierarchical data

KW - Information navigation

KW - Input device

KW - No-click browsing

KW - Serencast

UR - http://www.scopus.com/inward/record.url?scp=85093929635&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85093929635&partnerID=8YFLogxK

U2 - 10.1109/VL/HCC50065.2020.9127280

DO - 10.1109/VL/HCC50065.2020.9127280

M3 - Conference contribution

AN - SCOPUS:85093929635

T3 - Proceedings of IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC

BT - Proceedings - 2020 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2020

A2 - Homer, Michael

A2 - Hermans, Felienne

A2 - Tanimoto, Steven

A2 - Anslow, Craig

PB - IEEE Computer Society

T2 - 2020 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2020

Y2 - 10 August 2020 through 14 August 2020

ER -

No-click browsing of large hierarchical data

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this