In recent years, robots that have dialogues with humans have become increasingly common in our daily lives. For example, smart speakers and spoken dialogue systems installed in smartphones, and robots that interact with people in stores, have been developed. Dialogue systems commonly fall under two scenarios of use: task-oriented and non-task-oriented. Task-oriented systems perform interactions necessary to achieve a specific goal (e.g., making a reservation). On the other hand, non-task-oriented systems perform interactions in which the focus of the interaction is the dialogue itself. While the development of speech recognition technology has enabled these systems to interact with people, their ability to engage in meaningful dialogue is still limited. This Research Topic focuses on social dialogue with robots, which has been actively studied in recent years.
This Research Topic calls for papers on the research and development necessary to allow robots and people to engage in rich social dialogue. First, we need basic technologies for robots to understand human interaction. In addition to large-scale language models, which have advanced remarkably in recent years, we need technology that enables robots to understand the intent and characteristics of the user. Furthermore, technology that enables robots to generate dialogue by applying these technologies is needed. At the same time, it is necessary to consider the basic question of why people engage in dialogue. It is also important to promote the construction of robot-human and human-human social relationships as human-robot interaction (HRI). This Research Topic aims to approach these issues and invites papers on these topics.
The scope of this Research Topic covers studies on fundamental technologies for social dialogue with robots, such as natural language processing and dialogue understanding. Furthermore, studies on mutual understanding between robots and humans are also within the scope. We invite papers on the fundamental technologies required for human-robot dialogue. These studies are not limited to validation through laboratory experiments, but also include field experiments and case studies contributing to HRI research. This collection also aims to include interdisciplinary research, supporting the integration of robots/AI with other fields. By targeting these studies, this Research Topic hopes to advance research and development that will contribute to robots that can engage in rich social dialogue with people.
Potential topics include, but are not limited to:
- Natural language processing based on verbal, non-verbal, and multi-modal information
- Dialogue, and communication models
- Cognitive, and psychological models
- User modeling
- Personalization
- Personality expression of robots through dialogue
- Robots/AI with social psychology and cognitive/brain sciences
We invite contributions to these topics that target enabling social dialogue with robots. Therefore, submissions must
contextualize research in HRI scenarios, challenges, and literature.
In recent years, robots that have dialogues with humans have become increasingly common in our daily lives. For example, smart speakers and spoken dialogue systems installed in smartphones, and robots that interact with people in stores, have been developed. Dialogue systems commonly fall under two scenarios of use: task-oriented and non-task-oriented. Task-oriented systems perform interactions necessary to achieve a specific goal (e.g., making a reservation). On the other hand, non-task-oriented systems perform interactions in which the focus of the interaction is the dialogue itself. While the development of speech recognition technology has enabled these systems to interact with people, their ability to engage in meaningful dialogue is still limited. This Research Topic focuses on social dialogue with robots, which has been actively studied in recent years.
This Research Topic calls for papers on the research and development necessary to allow robots and people to engage in rich social dialogue. First, we need basic technologies for robots to understand human interaction. In addition to large-scale language models, which have advanced remarkably in recent years, we need technology that enables robots to understand the intent and characteristics of the user. Furthermore, technology that enables robots to generate dialogue by applying these technologies is needed. At the same time, it is necessary to consider the basic question of why people engage in dialogue. It is also important to promote the construction of robot-human and human-human social relationships as human-robot interaction (HRI). This Research Topic aims to approach these issues and invites papers on these topics.
The scope of this Research Topic covers studies on fundamental technologies for social dialogue with robots, such as natural language processing and dialogue understanding. Furthermore, studies on mutual understanding between robots and humans are also within the scope. We invite papers on the fundamental technologies required for human-robot dialogue. These studies are not limited to validation through laboratory experiments, but also include field experiments and case studies contributing to HRI research. This collection also aims to include interdisciplinary research, supporting the integration of robots/AI with other fields. By targeting these studies, this Research Topic hopes to advance research and development that will contribute to robots that can engage in rich social dialogue with people.
Potential topics include, but are not limited to:
- Natural language processing based on verbal, non-verbal, and multi-modal information
- Dialogue, and communication models
- Cognitive, and psychological models
- User modeling
- Personalization
- Personality expression of robots through dialogue
- Robots/AI with social psychology and cognitive/brain sciences
We invite contributions to these topics that target enabling social dialogue with robots. Therefore, submissions must
contextualize research in HRI scenarios, challenges, and literature.