TY  - INPR
N1  - This version is the author-accepted manuscript. For information on re-use, please refer to the publisher?s terms and conditions.
TI  - RunMe: An adaptive sound system for running meditation
AV  - public
Y1  - 2025/02/17/
JF  - ACM Transactions on Computer-Human Interaction
KW  - running
KW  -  mindfulness meditation
KW  -  adaptive sounds
KW  -  attention focus
KW  -  body awareness
KW  -  self-regulation
A1  - Tan, Peng
A1  - Zhu, Xiaofei
A1  - Bi, Tao
A1  - Ren, Xiangshi
ID  - discovery10205542
N2  - 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.
SN  - 1557-7325
UR  - https://doi.org/10.1145/3717610
PB  - Association for Computing Machinery (ACM)
ER  -