TY - JOUR
T1 - The experience of running: Recommending routes using sensory mapping in urban environments
AU - Hänsel, Katrin
AU - Aiello, Luca Maria
AU - Quercia, Daniele
AU - Schifanella, Rossano
AU - Varga, Krisztian Zsolt
AU - Dietz, Linus W
AU - Constantinides, Marios
N1 - Hänsel K, Aiello LM, Quercia D, Schifanella R, Varga KZ, Dietz LW, Constantinides M. The experience of running: Recommending routes using sensory mapping in urban environments. International Journal of Human-Computer Studies. 2025 May 5:103512.
PY - 2025/5/5
Y1 - 2025/5/5
N2 - Depending on the route, runners may experience frustration, freedom, or fulfillment. However, finding routes that are conducive to the psychological experience of running remains an unresolved task in the literature. In a mixed-method study, we interviewed 7 runners to identify themes contributing to running experience, and quantitatively examined these themes in an online survey with 387 runners. Using Principal Component Analysis on the survey responses, we developed a short experience sampling questionnaire that captures the three most important dimensions of running experience: performance & achievement, environment, and mind & social connectedness. Using path preferences obtained from the online survey, we clustered them into two types of routes: scenic (associated with nature and greenery) and urban (characterized by the presence of people); and developed a routing engine for path recommendations. We discuss challenges faced in developing the routing engine, and provide guidelines to integrate it into mobile and wearable running apps.
AB - Depending on the route, runners may experience frustration, freedom, or fulfillment. However, finding routes that are conducive to the psychological experience of running remains an unresolved task in the literature. In a mixed-method study, we interviewed 7 runners to identify themes contributing to running experience, and quantitatively examined these themes in an online survey with 387 runners. Using Principal Component Analysis on the survey responses, we developed a short experience sampling questionnaire that captures the three most important dimensions of running experience: performance & achievement, environment, and mind & social connectedness. Using path preferences obtained from the online survey, we clustered them into two types of routes: scenic (associated with nature and greenery) and urban (characterized by the presence of people); and developed a routing engine for path recommendations. We discuss challenges faced in developing the routing engine, and provide guidelines to integrate it into mobile and wearable running apps.
KW - Exploratory sequential design
KW - Recommendations
KW - Running
KW - Scenic
KW - Urban
KW - Running
KW - Recommendations
KW - Scenic
KW - Urban
KW - Exploratory sequential design
U2 - 10.1016/j.ijhcs.2025.103512
DO - 10.1016/j.ijhcs.2025.103512
M3 - Journal article
SN - 1071-5819
VL - 201
SP - 1
EP - 45
JO - International Journal of Human-Computer Studies
JF - International Journal of Human-Computer Studies
ER -