Exploring Runners' Preferences of Drone Based Feedback to Support their Well-Being

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Abstract

While drones are frequently used to capture aerial footage of runners, their utilization to enhance well-being of runners through real time feedback has not been fully explored. In this paper we investigate runners' feedback preferences regarding drone-feedback and its implications for drone-feedback design. Using an embodied storming approach, we engaged 25 participants in a running activity to gather their preferences on running-related feedback delivered through drones. Our analysis uncovered runners' top three preferred feedback parameters were pace, trunk lean, and time. Additionally, participants preferred instructive feedback for posture/technique-related parameters, and activity-related feedback focused on their current state. Furthermore, we present results from a reflexive thematic analysis, highlighting design considerations for drone feedback and its impact on designing drones for runners. We hope that these findings will inspire future researchers to explore the use of drones in promoting runners' well-being.

Original languageEnglish
Title of host publicationProceedings of 2nd International Conference of the Greece ACM SIGCHI Chapter, CHIGreece 2023
PublisherAssociation for Computing Machinery
Number of pages10
ISBN (Electronic)979-8-4007-0888-6
DOIs
Publication statusPublished - 27 Sept 2023
Event2nd International Conference of the Greece ACM SIGCHI Chapter, CHIGreece 2023 - Athens, Greece
Duration: 27 Sept 202328 Sept 2023
Conference number: 2

Publication series

NameACM International Conference Proceeding Series

Conference

Conference2nd International Conference of the Greece ACM SIGCHI Chapter, CHIGreece 2023
Abbreviated titleCHIGreece 2023
Country/TerritoryGreece
CityAthens
Period27/09/2328/09/23

Keywords

  • embodied storming
  • human drone interaction
  • multi modal interaction
  • running
  • running well-being
  • thematic analysis
  • user preferences evaluation

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