Personalizing a parenting app: parenting-style surveys beat behavioral reading-based models

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Abstract

The present study set out to personalize a digital library aimed at new parents by reordering articles to match users' inferred interests. The interests were inferred from reading behavior as well as parenting styles measured through surveys. As prior research has shown that parenting styles are related to how parents take care of their children, these styles are likely to be related to what content a parent is interested in. The present study compared personalization based on parenting styles against other types of personalization. We conducted a user study with 106 participants, in which we compared the effects of four different approaches of personalization to our users' reading behavior and user experience: a non-personalized baseline, personalization based on reading behavior, personalization based on parenting styles measured through surveys, and a hybrid personalization based on both reading behavior and parenting styles. We found that while the reading behavior was not significantly influenced by different types of personalization, participants had a better user experience with our survey-based approach. They indicated they perceived a higher level of personalization and satisfaction with the system, even though in terms of objective metrics this approach performed worse.

Part of Workshop 4: Theory-Informed User Modeling for Tailoring and Personalizing Interfaces - HUMANIZE

Original languageEnglish
Title of host publicationJoint Proceedings of the ACM IUI 2018 Workshops
Subtitle of host publicationTokyo, Japan, March 11, 2018
EditorsAlan Said, Takanori Komatsu
PublisherCEUR-WS.org
ChapterWorkshop 4 nr 8
Number of pages11
Publication statusPublished - 1 May 2018
Event2018 Joint ACM IUI Workshops, ACMIUI-WS 2018: Workshop 4: Theory-Informed User Modeling for Tailoring and Personalizing Interfaces - HUMANIZE - Tokyo, Japan
Duration: 11 Mar 2018 → …

Publication series

NameCEUR Workshop Proceedings
Number2068
ISSN (Print)1613-0073

Conference

Conference2018 Joint ACM IUI Workshops, ACMIUI-WS 2018
Country/TerritoryJapan
CityTokyo
Period11/03/18 → …

Keywords

  • Cold start
  • Parenting
  • Personalization
  • Psychological models
  • Psychological traits
  • User experience
  • User models

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