Gaze Awareness in Agent-Based Early-Childhood Learning Application - Human-Computer Interaction – INTERACT 2017 - Part II Access content directly
Conference Papers Year : 2017

Gaze Awareness in Agent-Based Early-Childhood Learning Application

Deepak Akkil
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  • PersonId : 1026161
Prasenjit Dey
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  • PersonId : 1026162
Deepshika Salian
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  • PersonId : 1026163
Nitendra Rajput
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  • PersonId : 1026164


Use of technological devices for early childhood learning is increasing. Now, kindergarten and primary school children use interactive applications on mobile phones and tablet computers to support and complement classroom learning. With increase in cognitive technologies, there is further potential to make such applications more engaging by understanding the user context. In this paper, we present the Little Bear, a gaze aware pedagogical agent, that tailors its verbal and non-verbal behavior based on the visual attention of the child and employs means to reorient the attention of the child, when distracted from the learning activity. We used the Little Bear agent in a learning application to enable teaching the vocabulary of everyday fruits and vegetables. Our user-study (n = 12) with preschoolers shows that children interacted longer and showed improved short-term retention of the vocabulary using the gaze aware agent compared to a baseline touch-based application. Our results demonstrate the potential of gaze aware application design for early childhood learning.
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hal-01678416 , version 1 (09-01-2018)





Deepak Akkil, Prasenjit Dey, Deepshika Salian, Nitendra Rajput. Gaze Awareness in Agent-Based Early-Childhood Learning Application. 16th IFIP Conference on Human-Computer Interaction (INTERACT), Sep 2017, Bombay, India. pp.447-466, ⟨10.1007/978-3-319-67684-5_28⟩. ⟨hal-01678416⟩
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