In this section
@article{Tan:2025:10.1145/3717610,
author = {Tan, P and Zhu, X and Bi, T and Ren, X},
doi = {10.1145/3717610},
journal = {ACM Transactions on Computer-Human Interaction},
title = {RunMe: An adaptive sound system for running meditation},
url = {http://dx.doi.org/10.1145/3717610},
year = {2025}
}
TY - JOUR
AB - <jats:p>Running has emerged as an alternative to traditional meditation practices that involve sitting with closed eyes. The rhythmic nature of running establishes a connection between mind and body to promote mindfulness and improve the overall experience and benefits of running. The use of technology-supported meditation is gaining attention in the fields of mental and physical wellness. However, existing meditation technologies primarily focus on one-way stimuli for sitting or walking meditation, with little emphasis on adaptive design and development for running meditation. To address this issue, we present the design framework and system development of RunMe, an adaptive sound system specifically designed for running meditation. RunMe integrates stimulation and regulation mechanisms to enhance adaptive data interactions between the sounds and runners’ biodata. We compared the significance of the RunMe group with three other groups: use of non-adaptive sound, use of favorite music and use of no music/sound. The results show that the RunMe group outperforms the other groups in attention regulation, body awareness, exercise motivation, and mindfulness. Importantly, RunMe has the potential to allow users to engage in running meditation without specialized equipment, making it accessible for daily practice. We also discuss the design framework and practical distinctions of RunMe, as well as the design implications and future directions for advancing running meditation.</jats:p>
AU - Tan,P
AU - Zhu,X
AU - Bi,T
AU - Ren,X
DO - 10.1145/3717610
PY - 2025///
SN - 1073-0516
TI - RunMe: An adaptive sound system for running meditation
T2 - ACM Transactions on Computer-Human Interaction
UR - http://dx.doi.org/10.1145/3717610
UR - https://doi.org/10.1145/3717610
ER -
Dyson School of Design Engineering
Imperial College London
25 Exhibition Road
South Kensington
London
SW7 2DB
design.engineering@imperial.ac.uk
Tel: +44 (0) 20 7594 8888