Design Implications for a Virtual Language Learning Companion Robot: Considering the Appearance, Interaction and Rewarding Behavior

Second language learning has become very important because of globalization and as a result, many online language learning platforms have gained popularity. Despite their popularity and convenience, they still lack the human factor and meaningful interaction. Robot-assisted language learning (RALL) is a concept where social robots are employed to assist in language learning, adding meaningful and human-like interactions to the process. In the case of online learning platforms, a similar approach can be taken using virtual robots. Virtual robots are similar to social robots as they can have a visual appearance, communication capabilities as well as human-like features. This research aims to understand the potential users’, i.e., university students’ perceptions, and expectations of a virtual robot as a language learning companion. We are focusing on three major aspects of its design: appearance, interaction and rewarding behavior. This is a qualitative and explorative study, which employs a human-centered design (HCD) approach by conducting a co-design workshop with five groups of university-level language students (n = 25) and a theme interview with seven design students. This article presents the first phase of the HCD process. The participants were asked questions about the appearance, behavior, movements, motivational factors, sound and rewarding features of the potential virtual language companion robot. The findings show that the idea of having an interactive virtual robot to assist online language learning was accepted and appreciated by all the participants but their expectations about the robot’s design varied. The potential users preferred a robot-like appearance rather than a human-like one for the virtual language learning companion, however, different robot-like appearances were mentioned in terms of their body parts, hands, head, shapes etc. Human-like gestures and movements were appreciated by the participants. Finally, seven design implications were formulated to support the further design of a virtual robot that can act as a virtual language learning companion as part of an online learning platform for university students.