Português
Robots are becoming increasingly common tools for education, assisted living and entertainment. As they are deployed in unstructured social environments for weeks and months, their ability to interact with different users at the same time acquires a fundamental importance. In addition to the circumstances of real-world settings, there are numerous reasons why having multiple users interacting with a robot at a time is favorable, including limitations of cost, time and space. This project investigates the role of emotions and adaptation in interactions between a robot and a group of users, contrasting to the typical one-robot one-user paradigm in Human-Robot Interaction (HRI). Despite the complex social challenges that long-term HRI will soon bring, so far little is known about how perception and action selection systems, typically designed for one-to-one interactions, will perform in multiparty settings. Recent studies in this area indicate that data-driven perception mechanisms trained with information from individual interactions do not generalize well in group settings [LML+15], raising the need to investigate new adaptive mechanisms for robots interacting with groups of users. Previous research by members of this team studied social robots in multiparty interactions, yet these robots had limited capabilities and were evaluated in single interactions with users [PPP14]. We address the issue of social adaptation for robots in group settings focusing on computational modeling of emotions. Emotions play a critical role in HRI [Bre03]. Several authors have reported the relevance of emotions in the establishment of social interactions between one robot and one user, in particular the role of empathy. Despite these efforts, further research is necessary to verify whether similar results hold (1) when aiming for longer term social interactions, and (2) when the robot is in the presence of a group of people.
The project involves the collaborative effort of INESC- ID (principal contractor) and ISCTE- IUL. The senior members have an excellent track record of research outputs in the areas of Human-Robot Interaction, Machine Learning, Affective Computing, and Social and Health Psychology, making this a unique multidisciplinary team. Previous successful collaborations among the partners in the team evidence the potential for a well functioning and productive team.
| Research Centre | Research Group | Role in Project | Begin Date | End Date |
|---|---|---|---|---|
| CIS-Iscte | Behaviour Emotion and Cognition | Partner | 2016-07-01 | 2019-06-30 |
| Institution | Country | Role in Project | Begin Date | End Date |
|---|---|---|---|---|
| Instituto de Engenharia de Sistemas e Computadores:Investigação e Desenvolvimento em Lisboa (INESC-ID) | Portugal | Leader | 2016-07-01 | 2019-06-30 |
| Name | Affiliation | Role in Project | Begin Date | End Date |
|---|---|---|---|---|
| Patrícia Arriaga | Professora Associada (com Agregação) (DPSO); Integrated Researcher (CIS-Iscte); | Local Coordinator | 2016-07-01 | 2019-06-30 |
| Reference/Code | Funding DOI | Funding Type | Funding Program | Funding Amount (Global) | Funding Amount (Local) | Begin Date | End Date |
|---|---|---|---|---|---|---|---|
| PTDC/EEI-SII/7174/2014 | -- | Contract | Fundação para a Ciência e Tecnologia - -- - Portugal | 198.430 | 23.762 | 2016-07-01 | 2019-06-30 |
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With the objective to increase the research activity directed towards the achievement of the United Nations 2030 Sustainable Development Goals, the possibility of associating scientific projects with the Sustainable Development Goals is now available in Ciência_Iscte. These are the Sustainable Development Goals identified for this project. For more detailed information on the Sustainable Development Goals, click here.
