Strive: Exploring Assistive Haptic Feedback on the Run

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

DOI

Mobile technologies have become an important part of run training, however, existing technologies focus on performance metrics (e.g., distance and pace), which makes it difficult for runners to improve their running technique. In this paper, we present Strive, a wearable running technology that aims to assist runners in achieving rhythmic breathing; a running technique that potentially leads to improved results and lower injury risk. Strive continuously collects physiological data and uses haptic feedback to provide real-time assistance during runs. As communicating technique-related information in the dynamic and complex context of a run is challenging, we present two studies. The first study investigates how runners adapt to two different vibration patterns; and the second study explores the temporality of the assistance through three different approaches: Continuous, periodical, and self-serviced. Based on these studies, we discuss and provide insights on interacting with technologies during runs.

Original languageEnglish
Title of host publicationProceedings of the 29th Australian Computer-Human Interaction Conference : Human-Nature, OzCHI 2017
EditorsMargot Brereton, Dhaval Vyas, Alessandro Soro, Bernd Ploderer, Jenny Waycott, Ann Morrison
Number of pages10
Place of publicationNew York, NY, USA
PublisherAssociation for Computing Machinery
Publication year28 Nov 2017
Pages275-284
ISBN (print)978-1-4503-5379-3
ISBN (Electronic)9781450353793
DOIs
Publication statusPublished - 28 Nov 2017
EventProceedings of the 29th Australian Conference on Computer-Human Interaction - Brisbane, Australia
Duration: 28 Nov 20171 Dec 2017
Conference number: 29
http://www.ozchi.org/2017/

Conference

ConferenceProceedings of the 29th Australian Conference on Computer-Human Interaction
Nummer29
LandAustralia
ByBrisbane
Periode28/11/201701/12/2017
Internetadresse
SeriesOZCHI '17

    Research areas

  • Haptic interaction, Running, Sports, Wearable technology

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