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Gait alignment in mobile phone conversations
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Source ACM International Conference Proceeding Series; Vol. 309 archive
Proceedings of the 9th international conference on Human computer interaction with mobile devices and services table of contents
Singapore
Pages 214-221  
Year of Publication: 2007
ISBN:978-1-59593-862-6
Authors
Roderick Murray-Smith  Hamilton Institute, NUI Maynooth, Ireland and University of Glasgow, Scotland
Andrew Ramsay  University of Glasgow, Scotland
Simon Garrod  University of Glasgow, Scotland
Melissa Jackson  University of Glasgow, Scotland
Bojan Musizza  Institut Jozef Stefan, Ljubljana, Slovenia
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

Conversation partners on mobile phones can align their walking gait without physical proximity or visual feedback. We investigate gait synchronization, measured by accelerometers while users converse via mobile phones. Hilbert transforms are used to infer gait phase angle, and techniques from synchronization theory are used to infer level of alignment. Experimental conditions include the use of vibrotactile feedback to make one conversation partner aware of the other's footsteps. Three modes of interaction are tested: reading a script, discussing a shared image and spontaneous conversation. The vibrotactile feedback loop on its own is sufficient to create synchronization, but there are complex interference effects when users converse spontaneously. Even without vibration crosstalk, synchronisation appeared for long periods in the spontaneous speech condition, indicating that users were aligning their walking behaviour from audible cues alone.


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Collaborative Colleagues:
Roderick Murray-Smith: colleagues
Andrew Ramsay: colleagues
Simon Garrod: colleagues
Melissa Jackson: colleagues
Bojan Musizza: colleagues