In this work, the use of an undercover conversational agent, acting as a participative student in a synchronous Virtual Reality distance learning scenario is proposed to stimulate social interaction between teacher and students. The outcome of the exploratory user study, indicated that the undercover conversational agent is capable to foster interaction, relieving social pressure, and overall lead to a more satisfactory and engaging learning experience without sacrificing learning performance.

Bot undercover: On the use of conversational agents to stimulate teacher-students interaction in remote learning / Pratticò, Filippo Gabriele; Alizadeh Shabkhoslati, Javad; Shaghaghi, Navid; Lamberti, Fabrizio. - ELETTRONICO. - (2022), pp. 277-282. (Intervento presentato al convegno IEEE Conference on Virtual Reality (IEEE VR 2022) - 7th Annual Workshop on K-12+ Embodied Learning through Virtual and Augmented Reality (KELVAR) tenutosi a Online nel March 12-16, 2022) [10.1109/VRW55335.2022.00063].

Bot undercover: On the use of conversational agents to stimulate teacher-students interaction in remote learning

Pratticò, Filippo Gabriele;Lamberti, Fabrizio
2022

Abstract

In this work, the use of an undercover conversational agent, acting as a participative student in a synchronous Virtual Reality distance learning scenario is proposed to stimulate social interaction between teacher and students. The outcome of the exploratory user study, indicated that the undercover conversational agent is capable to foster interaction, relieving social pressure, and overall lead to a more satisfactory and engaging learning experience without sacrificing learning performance.
2022
978-1-6654-8402-2
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2952272