Walking in Sync

Abstract

Eventual gait synchronization between two individuals while walking and talking with each other has been shown to be an indicator of agreeableness and companionship. The inferred physical signal from this subconscious phenomenon can potentially be an indicator of cooperation or relation between two individuals. In this paper we investigate this effect, and whether having a third person actively engaging in the same act or conversation can reduce this synchronization level. Using high frequency accelerometer data from a dedicated smartphone app, we perform a number of controlled experiments on a number of individuals in different group configuration. Our results bring an interesting insight: it is the non-verbal social signals such as the gaze, head orientation and gestures that is the key factor in synchronization, not necessarily the number or configuration of the walkers. These early results can lead us on detecting relationships between individuals or detecting the group formation and numbers for crowd-sensing applications when only partial data is available.

SensingKit: Evaluating the Sensor Power Consumption in iOS Devices

“…The framework has already been used in various research projects, including a study that investigates the subconscious phenomenon of gait synchronisation between individuals [7], as well as other Quantified Self applications [8]. A mobile app titled CrowdSense for iOS and Android was also released that facilitates other researches in Mobile Sensing area.…”