In this paper, we address the question of how specific barman/robot interaction styles can affect users' engagement. To this extent, we implemented a barman-robot called "BRILLO" with neutral, entertaining, and emphatic behavioral style suggesting drinks and taking orders from customers. Results show that a robot's interaction style may determine users' level of engagement. Indeed, interacting with an emphatic robot that modulates its behavior according to the user's one is more effective than a neutral robot in improving engagement and positive emotions in public-service contexts. Moreover, users experienced more positive emotions when they perceived BRILLO as safe and as more similar to a human.

What would you like to drink? Engagement and interaction styles in HRI / Rossi, S.; Dell'Aquila, E.; Maggi, G.; Russo, D.. - (2020), pp. 415-417. (Intervento presentato al convegno 15th Annual ACM/IEEE International Conference on Human Robot Interaction, HRI 2020 tenutosi a University of Cambridge, gbr nel 2020) [10.1145/3371382.3378343].

What would you like to drink? Engagement and interaction styles in HRI

Rossi S.;Dell'Aquila E.;
2020

Abstract

In this paper, we address the question of how specific barman/robot interaction styles can affect users' engagement. To this extent, we implemented a barman-robot called "BRILLO" with neutral, entertaining, and emphatic behavioral style suggesting drinks and taking orders from customers. Results show that a robot's interaction style may determine users' level of engagement. Indeed, interacting with an emphatic robot that modulates its behavior according to the user's one is more effective than a neutral robot in improving engagement and positive emotions in public-service contexts. Moreover, users experienced more positive emotions when they perceived BRILLO as safe and as more similar to a human.
2020
9781450370578
What would you like to drink? Engagement and interaction styles in HRI / Rossi, S.; Dell'Aquila, E.; Maggi, G.; Russo, D.. - (2020), pp. 415-417. (Intervento presentato al convegno 15th Annual ACM/IEEE International Conference on Human Robot Interaction, HRI 2020 tenutosi a University of Cambridge, gbr nel 2020) [10.1145/3371382.3378343].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/821008
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