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Dynamic personalization based on mobile behavior: from personality to personalization: a blueprint

Authors:

Alan J. Wecker,

Oliviero StockAuthors Info & Claims

MobileHCI '16: Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct

Pages 978 - 983

https://doi.org/10.1145/2957265.2962645

Published: 06 September 2016 Publication History

Abstract

Systems often try to give advice to users. Personalization and the use of personality in the use of recommendation systems is a very topical. Examining the Cultural Heritage Domain, we propose a framework how we can monitor visitor behavior on the go, something that is mildly volatile, to determine personality traits, something that is more stable. This knowledge can be then used along with context to give tailored advice. Methods of monitoring visitor behavior, converting that to traits and that to personality types are described. Different dimensions of how to give tailored advice based on personality are described.

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Digital Library

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Cited By

Rey SBortolaso CBrock APicard CDerras MCouture N(2020)Interaction homme-machine et personnalisation des visites : enjeux et perspectives critiquesCulture & musées10.4000/culturemusees.452735(77-106)Online publication date: 2020
https://doi.org/10.4000/culturemusees.4527
Alves PSaraiva PCarneiro JCampos PMartins HNovais PMarreiros G(2020)Modeling Tourists' Personality in Recommender SystemsProceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization10.1145/3340631.3394843(4-13)Online publication date: 7-Jul-2020
https://dl.acm.org/doi/10.1145/3340631.3394843
Kabassi KAlepis E(2019)Learning Analytics in Distance and Mobile Learning for Designing Personalised SoftwareMachine Learning Paradigms10.1007/978-3-030-13743-4_10(185-203)Online publication date: 17-Mar-2019
https://doi.org/10.1007/978-3-030-13743-4_10

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Information

Published In

cover image ACM Conferences

MobileHCI '16: Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct

September 2016

664 pages

ISBN:9781450344135

DOI:10.1145/2957265

General Chairs:
Fabio Paternò
CNR-ISTI, Italy
,
Kaisa Väänänen
Tampere University of Technology, Finland
,
Program Chairs:
Karen Church
Intercom, USA
,
Jonna Häkkilä
University of Lapland, Finland
,
Antonio Krüger
DFKI, Germany
,
Marcos Serrano
University of Toulouse, France

Copyright © 2016 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 September 2016

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MobileHCI '16

Sponsor:

SIGCHI

MobileHCI '16: 18th International Conference on Human-Computer Interaction with Mobile Devices and Services

September 6 - 9, 2016

Florence, Italy

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Overall Acceptance Rate 202 of 906 submissions, 22%

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Cited By

Rey SBortolaso CBrock APicard CDerras MCouture N(2020)Interaction homme-machine et personnalisation des visites : enjeux et perspectives critiquesCulture & musées10.4000/culturemusees.452735(77-106)Online publication date: 2020
https://doi.org/10.4000/culturemusees.4527
Alves PSaraiva PCarneiro JCampos PMartins HNovais PMarreiros G(2020)Modeling Tourists' Personality in Recommender SystemsProceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization10.1145/3340631.3394843(4-13)Online publication date: 7-Jul-2020
https://dl.acm.org/doi/10.1145/3340631.3394843
Kabassi KAlepis E(2019)Learning Analytics in Distance and Mobile Learning for Designing Personalised SoftwareMachine Learning Paradigms10.1007/978-3-030-13743-4_10(185-203)Online publication date: 17-Mar-2019
https://doi.org/10.1007/978-3-030-13743-4_10
Alepis EKabassi KVirvou M(2018)Personalized Museum Exploration by Mobile DevicesInteractive Mobile Communication Technologies and Learning10.1007/978-3-319-75175-7_36(353-360)Online publication date: 14-Feb-2018
https://doi.org/10.1007/978-3-319-75175-7_36

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