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

Paper i 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.