Persuasive Embodied Agents for Behavior Change (PEACH2017) Workshop
This full day workshop will be held within the framework of the 17th International Conference on Intelligent Virtual Agents (IVA2017, www.iva2017.org) conference. It focuses on embodied agents that are used for assessment, coaching, training, rehabilitation, or treatment of individuals, both professionals (e.g. doctors, soldiers, teachers, or managers), or non-professionals (e.g. patients, children, or elderly).
This workshop invites researchers, designers, and developers that are interested in questions such as:
- What are effective and acceptable strategies for these agents?
- How can agents enhance adherence?
- How to bootstrap agents’ adaptiveness when this is data driven?
- What are effective strategies to establish a long-term relationship between the agent and individual?
- Ethics and persuasion: how to balance them?
- Do explainable agents contribute to persuasiveness?
- What are easy and effective frameworks for establishing embodied agents?
- How can professionals and agents work together in supporting users?
- How do you create a natural interaction with an embodied agent?
- When and how can agents use an enforcing and balancing feedback loop to regulate someone’s behavior?
- How to establish alliance between agent and the user?
- What kind of emotion models are helpful in human-agent interactions?
These agents can be part of systems, such as:
- Simulated patient training systems
- Care robots
- Negotiation training systems
- eLearning systems
- Self-management health support systems
- Financial coaching system
- Virtual health agents
- Therapeutic systems
- Health apps
- Social robots
We intend to structure the workshop in such a way that participants with accepted contributions first present their research. We then split the audience into smaller groups to brainstorm on a question/matter of concern to the presenter. You can thus see this as a chance to get valuable input, but also, for example, to have participants examine your questionnaire, review your system, or reflect on your research vision. Note that it is for this reason that we also welcome research at early stages.