This paper describes an embodied conversational agent enhanced with specific conversational strategies aiming to foster learners' readiness towards communication in a second language (L2). Willingness to communicate (WTC) in a second language is believed to have a direct and sustained influence on learners' actual usage frequency of the target language. To help overcome the lack of suitable environments for increasing L2 learners' WTC, our approach is to build embodied conversational agents that can help learners surmount their apprehension towards communication in L2. Here, we focus on the dialogue management aspects of our approach and propose a model based on a set of communication strategies (CS) and affective backchannels (AB) to foster such agents' ability to carry on natural and WTC-friendly conversations with learners. We examined learners' expected WTC after interacting with one of the following versions of the system: an agent featuring both CS and AB; an agent featuring only CS; and an agent featuring only AB. The results suggested that combining CS and AB empowers the conversational agent and leads to higher expected WTC among L2 learners. We also found that even the AB-only version of the system had the potential to enhance WTC to some extent. These findings are evidence of the feasibility of enhancing L2 learners' engagement towards communication using a computer-based environment coupled with appropriate conversational strategies.

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This study proposes a computer-based approach to effectively enhance second language learners' willingness to communicate in the target language. To do so, we implemented a conversational agent embedding a dialogue management model based on two conversational strategies (i.e., communication strategies and affective backchannels), serving as scaffolds for enhancing learners' willingness to communicate in the target language. Here, we report on differences observed among second language learners' preferences for both conversational strategies according to their initial level of willingness to communicate and on variations of their willingness with respect to such differences. Although we found that most students generally preferred a combination of both strategies, learners' preferences and the effects of the support provided by these strategies varied according to their level of willingness to communicate. Learners with lower willingness to communicate tended to prefer affective backchannels whereas those with higher willingness to communicate seemed to favor communication strategies. These results were consistent with posttest results, which showed that learners' expected willingness to communicate tended to be higher after interacting with systems embedding their preferred strategies. In sum, these results are preliminary evidence of the meaningfulness of accounting for such learners' preferences in adaptively using and fading the strategies employed by conversational agents to motivate second language learners to communicate in the target language.

In this paper, we propose an embodied conversational agent based on the willingness to communicate (WTC) model in L2 to help increase WTC in the context of English as a foreign language (EFL) by providing users with various daily conversation contexts. To simulate realistic and efficient conversations, we adopted a semantic approach in the response generation and created a system with flexible and adaptable domain knowledge, user's intent detection, and mixed-initiative conversation strategy. Our evaluation of the proposed system demonstrated its potential to simulate efficiently natural conversations in a specific context as well as the feasibility of improving learners' WTC using a computer-based environment.

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