Social robots are applied in several fields such as education and entertainment. Using the method of storytelling, these two fields can be combined to allow for informal learning. As social robots can benefit students’ motivation and learning process and storytelling is a consolidated method for vocabulary
acquisition, integrating learning content into a robotic storyteller’s narration might facilitate implicit learning. Focusing on language learning, we conducted an online study to compare a
robotic storyteller for vocabulary learning to traditional media, e.g. text. Results show that a robotic storyteller is as effective as traditional media concerning long-term memory. While it is also perceived equally useful, participants were more satisfied when reading text. No differences were indicated for transportation into the story. This preliminary online study indicates the suitability of robotic storytelling for implicit language earning, however, future studies should examine live and co-located scenarios to investigate their full potential.

Designing Social Robots' Speech in the Hotel Context - A Series of Online Studies

Movement is one of the basic tools that humans use 
to convey emotional states. Body language and movement are 
also relevant in the perception that we have of other people. 
Many studies have been done on movement and emotion 
sharing, involving humans on one side and robots or automated 
agents on the other. From these studies, there is evidence of the 
importance of robots to improve their social capabilities and
develop more effective social interaction. This work aims at 
embedding some social movements in a robot manipulator, that 
will elicit an emotional response from users. Laban Movement 
Analysis is used to do so, and social movements are developed on 
a robotic arm, then shown to participants in an online study and
a questionnaire. The results show that it is possible to elicit 
emotions through movement only and that the perception is not 
affected by personal experiences.

Second Language Learning through Storytelling with a Social Robot - An Online Case Study

**Session Chairs: Lawrence H. Kim, Jim Torresen**

Session II: Applications of Social Robots

technical paper

**31st IEEE International Conference on Robot & Human Interactive Communication**
 This conference is a leading forum where state-of-the-art innovative results, the latest developments as well as future perspectives relating to robot and human interactive communication are presented and discussed.
 
 The conference covers a wide range of topics related to Robot and Human Interactive Communication, involving theories, methodologies, technologies, empirical and experimental studies. Papers related to the study of robotic technology, psychology, cognitive science, artificial intelligence, human factors, ethics and policies, interaction-based robot design and other topics related to human-robot interaction are welcome.
 
 **CONFERENCE THEME:**
 Social, asocial, and antisocial robots
 
 Robots are starting to populate our lives: at work, in our homes, hotels, shops. However, not everybody is comfortable with robots finding a place in society. For example, people may be afraid that robots will replace humans in their jobs. This belief is exacerbated by the media that, on one side, raise expectations of robots’ capabilities, while amplifying fears and worries on the other side.
 
 In the next years, due to the increasing request for interaction with people in social environments, academic research and market analyses predict that robots will become more and more “social”. But, at the same time, robots may incur the risk of being perceived as “asocial” as their pervasiveness in everyday environments may become an obstacle to social interaction between humans. Or they may even be rejected as “antisocial” if researchers do not take care to develop robots that behave according to the customs and habits of the communities where they are expected to operate.
 
 To prevent this from happening, robotic researchers can no longer take the luxury of being mere technicians. They must be capable of addressing all the challenges raised by future robot-populated communities in a multidisciplinary way. They need to share their knowledge with the public to make people aware of what robots really are, what expectations we can have from them, the risks we may incur, and the possible mitigation plans.
 
 While being open to any kind of contribution related to Human-Robot Interactive Communication, the RO-MAN 2022 conference will emphasize these aspects of robotic research. How can we create robots capable of being welcomed as our assistants and companions in society while, at the same time, not being perceived as “asocial” or “antisocial?” How can we create robots perceived as facilitators of the natural development of human beings and communities, rather than obstacles?
 
 Contributions from different disciplines, not exclusively related to technological development, will be welcomed as crucial to pave the way to global acceptance of future robots with an informed attitude.
 
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IEEE RO-MAN 2022

31st IEEE International Conference on Robot & Human Interactive Communication
This conference is a leading forum where state-of-the-art innovative results, the latest developments as well as future perspectives relating to robot and human interactive communication are presented and discussed.

**Session Chairs: Kerstin Sophie Haring, Carolin Straßmann**

Sophia C. Steinhaeusser

2

1

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Designing Social Robots' Speech in the Hotel Context - A Series of Online Studies

Second Language Learning through Storytelling with a Social Robot - An Online Case Study

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