Snoozle - A Robotic Pillow That Helps You Go to Sleep: HRI 2017 Student Design Competition

Jered Vroon, Cristina Zaga, Daniel Davison, Jan Kolkmeier, Jeroen Linssen

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

1 Citation (Scopus)
2 Downloads (Pure)

Abstract

Not getting enough sleep is detrimental to our health and productivity, yet we have difficulty to maintain consistent bedtimes. Technological solutions to this problem mostly focus on detecting sleep patterns and providing feedback on them. We felt there was an opportunity for a perspective that concentrates on one's subjective experience. We propose Snoozle, an actuated pillow that supports consistent bedtimes by inviting users to bed, and improves the sleeping experience by enhancing the feeling of co-presence. In this proposal, we present how the concept of Snoozle developed from structured brainstorms, storyboards and sketches. We discuss the actuated pillow behavior and the envisioned interaction, and we detail our next steps.
Original languageEnglish
Title of host publicationHRI '17
Subtitle of host publicationProceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction
Place of PublicationNew York, NY
PublisherAssociation for Computing Machinery (ACM)
Pages399-400
Number of pages2
ISBN (Print)978-1-4503-4885-0
DOIs
Publication statusPublished - Mar 2017

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Robotics
Students
Productivity
Health
Feedback
Sleep

Keywords

  • interaction design, pillow

Cite this

Vroon, J., Zaga, C., Davison, D., Kolkmeier, J., & Linssen, J. (2017). Snoozle - A Robotic Pillow That Helps You Go to Sleep: HRI 2017 Student Design Competition. In HRI '17: Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction (pp. 399-400). New York, NY: Association for Computing Machinery (ACM). https://doi.org/10.1145/3029798.3034949
Vroon, Jered ; Zaga, Cristina ; Davison, Daniel ; Kolkmeier, Jan ; Linssen, Jeroen. / Snoozle - A Robotic Pillow That Helps You Go to Sleep : HRI 2017 Student Design Competition. HRI '17: Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction. New York, NY : Association for Computing Machinery (ACM), 2017. pp. 399-400
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abstract = "Not getting enough sleep is detrimental to our health and productivity, yet we have difficulty to maintain consistent bedtimes. Technological solutions to this problem mostly focus on detecting sleep patterns and providing feedback on them. We felt there was an opportunity for a perspective that concentrates on one's subjective experience. We propose Snoozle, an actuated pillow that supports consistent bedtimes by inviting users to bed, and improves the sleeping experience by enhancing the feeling of co-presence. In this proposal, we present how the concept of Snoozle developed from structured brainstorms, storyboards and sketches. We discuss the actuated pillow behavior and the envisioned interaction, and we detail our next steps.",
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Vroon, J, Zaga, C, Davison, D, Kolkmeier, J & Linssen, J 2017, Snoozle - A Robotic Pillow That Helps You Go to Sleep: HRI 2017 Student Design Competition. in HRI '17: Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction. Association for Computing Machinery (ACM), New York, NY, pp. 399-400. https://doi.org/10.1145/3029798.3034949

Snoozle - A Robotic Pillow That Helps You Go to Sleep : HRI 2017 Student Design Competition. / Vroon, Jered; Zaga, Cristina; Davison, Daniel; Kolkmeier, Jan; Linssen, Jeroen.

HRI '17: Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction. New York, NY : Association for Computing Machinery (ACM), 2017. p. 399-400.

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

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Vroon J, Zaga C, Davison D, Kolkmeier J, Linssen J. Snoozle - A Robotic Pillow That Helps You Go to Sleep: HRI 2017 Student Design Competition. In HRI '17: Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction. New York, NY: Association for Computing Machinery (ACM). 2017. p. 399-400 https://doi.org/10.1145/3029798.3034949