Dynamic personalization based on mobile behavior: From personality to personalization: A blueprint

Alan J. Wecker; Oliviero Stock; Tsvi Kuflik

doi:10.1145/2957265.2962645

Dynamic personalization based on mobile behavior: From personality to personalization: A blueprint

Alan J. Wecker
, Oliviero Stock
, Tsvi Kuflik

Department of Information Systems

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

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.

Original language	English
Title of host publication	Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, MobileHCI 2016
Publisher	Association for Computing Machinery, Inc
Pages	978-983
Number of pages	6
ISBN (Electronic)	9781450344135
DOIs	https://doi.org/10.1145/2957265.2962645
State	Published - 6 Sep 2016
Event	18th International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2016 - Florence, Italy Duration: 6 Sep 2016 → 9 Sep 2016

Publication series

Name	Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, MobileHCI 2016

Conference

Conference	18th International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2016
Country/Territory	Italy
City	Florence
Period	6/09/16 → 9/09/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

Lifelong cultural heritage
Museum visitor types
Personality
Personalization

ASJC Scopus subject areas

Information Systems
Computer Networks and Communications
Human-Computer Interaction
Software

Access to Document

10.1145/2957265.2962645

Cite this

Wecker, A. J., Stock, O., & Kuflik, T. (2016). Dynamic personalization based on mobile behavior: From personality to personalization: A blueprint. In Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, MobileHCI 2016 (pp. 978-983). (Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, MobileHCI 2016). Association for Computing Machinery, Inc. https://doi.org/10.1145/2957265.2962645

Wecker, Alan J. ; Stock, Oliviero ; Kuflik, Tsvi. / Dynamic personalization based on mobile behavior : From personality to personalization: A blueprint. Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, MobileHCI 2016. Association for Computing Machinery, Inc, 2016. pp. 978-983 (Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, MobileHCI 2016).

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title = "Dynamic personalization based on mobile behavior: From personality to personalization: A blueprint",

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.",

keywords = "Lifelong cultural heritage, Museum visitor types, Personality, Personalization",

author = "Wecker, \{Alan J.\} and Oliviero Stock and Tsvi Kuflik",

year = "2016",

month = sep,

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doi = "10.1145/2957265.2962645",

language = "English",

series = "Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, MobileHCI 2016",

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pages = "978--983",

booktitle = "Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, MobileHCI 2016",

note = "18th International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2016 ; Conference date: 06-09-2016 Through 09-09-2016",

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Wecker, AJ, Stock, O & Kuflik, T 2016, Dynamic personalization based on mobile behavior: From personality to personalization: A blueprint. in Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, MobileHCI 2016. Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, MobileHCI 2016, Association for Computing Machinery, Inc, pp. 978-983, 18th International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2016, Florence, Italy, 6/09/16. https://doi.org/10.1145/2957265.2962645

Dynamic personalization based on mobile behavior: From personality to personalization: A blueprint. / Wecker, Alan J.; Stock, Oliviero; Kuflik, Tsvi.
Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, MobileHCI 2016. Association for Computing Machinery, Inc, 2016. p. 978-983 (Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, MobileHCI 2016).

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

TY - GEN

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AU - Kuflik, Tsvi

PY - 2016/9/6

Y1 - 2016/9/6

N2 - 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.

AB - 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.

KW - Lifelong cultural heritage

KW - Museum visitor types

KW - Personality

KW - Personalization

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U2 - 10.1145/2957265.2962645

DO - 10.1145/2957265.2962645

M3 - Conference contribution

AN - SCOPUS:84991113240

T3 - Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, MobileHCI 2016

SP - 978

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BT - Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, MobileHCI 2016

PB - Association for Computing Machinery, Inc

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ER -

Wecker AJ, Stock O, Kuflik T. Dynamic personalization based on mobile behavior: From personality to personalization: A blueprint. In Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, MobileHCI 2016. Association for Computing Machinery, Inc. 2016. p. 978-983. (Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, MobileHCI 2016). doi: 10.1145/2957265.2962645

Dynamic personalization based on mobile behavior: From personality to personalization: A blueprint

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this