Snoozy: A Chatbot-Based Sleep Diary for Children Aged Eight to Twelve

Tessa Aarts, Panos Markopoulos, Lars Giling, Tudor Vacaretu, Sigrid Pillen

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

8 Citations (Scopus)

Abstract

Many children suffer from sleep problems which can be detrimental to their development and well-being. Treating clinicians rely on sleep diaries to assess how patients experience sleep. Currently used sleep diaries are made for adults and parents are asked to fill them in for their children. Digital sleep diaries for children could provide more reliable reports and enhance children's involvement in their treatment. We report on the design of Snoozy, a chatbot-based sleep diary for children eight to twelve. Following an informant-based design approach, we: 1) interviewed clinicians and parents 2) involved children as co-designers (N=8), user-test participants (N=17) and field-test participants (N=5). Earlier works have examined the potential of chatbots in non-clinical personal informatics for children. Our study demonstrates how children can report on sleep-related experiences to clinicians, through a chatbot that asks clear and guided questions and communicates with kindness and empathy.

Original languageEnglish
Title of host publicationProceedings of Interaction Design and Children, IDC 2022
PublisherAssociation for Computing Machinery, Inc
Pages297-307
Number of pages11
ISBN (Electronic)9781450391979
DOIs
Publication statusPublished - 27 Jun 2022
Event21st ACM Interaction Design and Children Conference, IDC 2022 - Virtual, Online, Portugal
Duration: 27 Jun 202230 Jun 2022

Conference

Conference21st ACM Interaction Design and Children Conference, IDC 2022
Country/TerritoryPortugal
CityVirtual, Online
Period27/06/2230/06/22

Bibliographical note

Publisher Copyright:
© 2022 Owner/Author.

Keywords

  • Chatbot
  • Children
  • Experience Sampling
  • Informant Design
  • Insomnia
  • Self-reporting
  • Sleep
  • Sleep Diary

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