@inproceedings{672cac298dc442ebac28feff34a30acf,
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,
day = "6",
doi = "https://doi.org/10.1145/2957265.2962645",
language = "American English",
series = "Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, MobileHCI 2016",
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",
}
