Exploring Runners' Preferences of Drone Based Feedback to Support their Well-Being
Paper in proceeding, 2023

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.

user preferences evaluation

multi modal interaction

embodied storming

human drone interaction

running

thematic analysis

running well-being

Author

Aswin Balasubramaniam

University of Twente

Dennis Reidsma

University of Twente

Mohammad Obaid

Chalmers, Computer Science and Engineering (Chalmers), Interaction Design and Software Engineering

Dirk Heylen

University of Twente

ACM International Conference Proceeding Series

10
9798400708886 (ISBN)

2nd International Conference of the Greece ACM SIGCHI Chapter, CHIGreece 2023
Athens, Greece,

Subject Categories

Human Computer Interaction

DOI

10.1145/3609987.3609997

More information

Latest update

1/25/2024