In this paper we describe a public display system that detects the users' interest and adapts the on-screen content accordingly. An interest estimation algorithm based on the analysis of the users' non-verbal behaviour, including the users' position, their orientation and the social context, is proposed. A preliminary field study suggests that an adaptive public display may be more appealing than a control condition, where the same content is offered without any adaptation. We argue that behavioural-based measures are valuable data to inform and adapt a public display in a social-aware way, improving the users' engagement.

Sensing and reacting to users' interest: an adaptive public display

Schiavo, Gianluca;Mencarini, Eleonora;Zancanaro, Massimo
2013

Abstract

In this paper we describe a public display system that detects the users' interest and adapts the on-screen content accordingly. An interest estimation algorithm based on the analysis of the users' non-verbal behaviour, including the users' position, their orientation and the social context, is proposed. A preliminary field study suggests that an adaptive public display may be more appealing than a control condition, where the same content is offered without any adaptation. We argue that behavioural-based measures are valuable data to inform and adapt a public display in a social-aware way, improving the users' engagement.
CHI '13 Extended abstracts on human factors in computing systems
New York, NY.
ACM Press
9781450319522
Schiavo, Gianluca; Mencarini, Eleonora; K. B. A., Vovard; Zancanaro, Massimo
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11572/97152
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