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.
Year
2015
URL
Abstract
Summary
Investigates gait synchronisation between people walking and talking together as a signal of rapport, using high-frequency smartphone accelerometer data from controlled group experiments to test whether adding a third person reduces synchronisation; finds that non-verbal cues like gaze, head orientation and gestures — not the number of walkers — are the key factor, with implications for detecting relationships and group formation from partial crowd-sensing data.
bibtex
@inproceedings{katevas2015walkingsync,
author = {Kleomenis Katevas and Hamed Haddadi and Laurissa Tokarchuk and Richard G. Clegg},
title = {Walking in Sync: Two is Company, Three's a Crowd},
booktitle = {Proceedings of the 2nd Workshop on Physical Analytics (WPA)},
year = {2015},
pages = {25--29},
doi = {10.1145/2753497.2753502}
}
author = {Kleomenis Katevas and Hamed Haddadi and Laurissa Tokarchuk and Richard G. Clegg},
title = {Walking in Sync: Two is Company, Three's a Crowd},
booktitle = {Proceedings of the 2nd Workshop on Physical Analytics (WPA)},
year = {2015},
pages = {25--29},
doi = {10.1145/2753497.2753502}
}
Venue
Proceedings of the 2nd Workshop on Physical Analytics (WPA), Florence, Italy, pp. 25-29