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.File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
