Native interaction experience for computational maps with mobile devices

Anton Akusok; Leonardo Espinosa Leal; Kaj-Mikael Björk; Renjie Hu

doi:10.1145/3594806.3594844

Native interaction experience for computational maps with mobile devices

Anton Akusok, Leonardo Espinosa Leal, Kaj-Mikael Björk, Renjie Hu

Not published at VTT

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Abstract

This paper presents a framework for creating computational maps with a native user interaction experience, using only open-source simple building blocks. It highlights the challenges in applied map data analysis and proposes simple solutions to them. The paper finishes with a vision of the future of computational maps, made possible by advances in mobile device processing capabilities. The authors hope that the researchers starting their work in geographical map data analysis will find useful information here.

Original language	English
Title of host publication	PETRA '23: Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments
Place of Publication	New York
Publisher	Association for Computing Machinery ACM
Pages	162-164
Number of pages	3
ISBN (Electronic)	9798400700699
ISBN (Print)	979-8-4007-0069-9
DOIs	https://doi.org/10.1145/3594806.3594844
Publication status	Published - 5 Jul 2023
MoE publication type	A4 Article in a conference publication
Event	16th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2023 - Corfu, Greece Duration: 5 Jul 2023 → 7 Jul 2023

Conference

Conference	16th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2023
Country/Territory	Greece
City	Corfu
Period	5/07/23 → 7/07/23

Keywords

UX
computational maps
human-computer interaction

Access to Document

10.1145/3594806.3594844

Cite this

@inproceedings{494602a155804a64af5999f5094cb765,

title = "Native interaction experience for computational maps with mobile devices",

abstract = "This paper presents a framework for creating computational maps with a native user interaction experience, using only open-source simple building blocks. It highlights the challenges in applied map data analysis and proposes simple solutions to them. The paper finishes with a vision of the future of computational maps, made possible by advances in mobile device processing capabilities. The authors hope that the researchers starting their work in geographical map data analysis will find useful information here.",

keywords = "UX, computational maps, human-computer interaction",

author = "Anton Akusok and \{Espinosa Leal\}, Leonardo and Kaj-Mikael Bj{\"o}rk and Renjie Hu",

year = "2023",

month = jul,

day = "5",

doi = "10.1145/3594806.3594844",

language = "English",

isbn = "979-8-4007-0069-9",

pages = "162--164",

booktitle = "PETRA '23: Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments",

publisher = "Association for Computing Machinery ACM",

address = "United States",

note = "16th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2023 ; Conference date: 05-07-2023 Through 07-07-2023",

}

Akusok, A, Espinosa Leal, L, Björk, K-M & Hu, R 2023, Native interaction experience for computational maps with mobile devices. in PETRA '23: Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments. Association for Computing Machinery ACM, New York, pp. 162-164, 16th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2023, Corfu, Greece, 5/07/23. https://doi.org/10.1145/3594806.3594844

Native interaction experience for computational maps with mobile devices. / Akusok, Anton; Espinosa Leal, Leonardo; Björk, Kaj-Mikael et al.
PETRA '23: Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments. New York: Association for Computing Machinery ACM, 2023. p. 162-164.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Native interaction experience for computational maps with mobile devices

AU - Akusok, Anton

AU - Espinosa Leal, Leonardo

AU - Björk, Kaj-Mikael

AU - Hu, Renjie

PY - 2023/7/5

Y1 - 2023/7/5

N2 - This paper presents a framework for creating computational maps with a native user interaction experience, using only open-source simple building blocks. It highlights the challenges in applied map data analysis and proposes simple solutions to them. The paper finishes with a vision of the future of computational maps, made possible by advances in mobile device processing capabilities. The authors hope that the researchers starting their work in geographical map data analysis will find useful information here.

AB - This paper presents a framework for creating computational maps with a native user interaction experience, using only open-source simple building blocks. It highlights the challenges in applied map data analysis and proposes simple solutions to them. The paper finishes with a vision of the future of computational maps, made possible by advances in mobile device processing capabilities. The authors hope that the researchers starting their work in geographical map data analysis will find useful information here.

KW - UX

KW - computational maps

KW - human-computer interaction

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U2 - 10.1145/3594806.3594844

DO - 10.1145/3594806.3594844

M3 - Conference article in proceedings

SN - 979-8-4007-0069-9

SP - 162

EP - 164

BT - PETRA '23: Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments

PB - Association for Computing Machinery ACM

CY - New York

T2 - 16th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2023

Y2 - 5 July 2023 through 7 July 2023

ER -

Native interaction experience for computational maps with mobile devices

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