This demonstration showcases Ferrybot, a prototype intelligent conversational agent designed for peer support contexts. In our conception, it interacts with both participants and administrators via instant messaging, facilitating administrative tasks and providing real-time, on-demand support and advice to members. Ferrybot is powered by state-of-the-art Large Language Models (LLMs), which allow it to understand specific scenarios, interpret user input, and respond naturally.
In the peer support context, we've designed six scenarios for interacting with Ferrybot. On the demo page, you can engage in dynamic conversations with Ferrybot, taking on roles such as a participant or supporter. We invite you to explore each scenario and share your feedback. Additionally, if you're interested in collaboration opportunities, we'd love to hear from you!
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Please note that this is a basic prototype of a chatbot powered by LLMs, designed to demonstrate the Ferrybot concept in peer support scenarios. It is not flawless, and we cannot guarantee fully appropriate responses. To protect your privacy, we do not record any actions or inputs during the interactions. Thank you for your understanding!
For best experience, we recommend to access the chat interaction webpages with horizontal screen devices.
In this scenario, Ferrybot acts as a caring intermediary, reaching out to members of the peer support group who have been less active recently. The aim is to proactively and privately check on their overall mental and physical wellbeing, including aspects such as mood, sleep, diet, and exercise. This proactive approach helps ensure that all members feel supported and engaged, even when they are not actively participating in group activities.
Try it out »For new members of the Glasgow-based peer support organization, Ferrybot serves as a guide to help them find the most appropriate subgroup that matches their specific needs. By gathering information about the members' age, gender, interests, and preferred locations, Ferrybot can accurately recommend the best-fit group.
Try it out »This scenario involves Ferrybot organizing and coordinating group activities by collecting and analysing members' availability and preferences. Ferrybot facilitates discussions within the group to determine the best time and type of activity that suits the majority. This coordination helps in planning events that are enjoyable and accessible to all, enhancing the group's cohesion and social interaction.
Try it out »In this scenario, Ferrybot takes on the role of a mentor for peer supporters, providing them with the necessary skills and strategies to effectively engage with other group members. The training focuses on how to sensitively inquire about members' feelings, health, and personal interests, and how to encourage participation in group activities.
Try it out »In this scenario, Ferrybot takes on the role of a trainer for peer supporters, instructing them to care someone really upset by simulation exercises. Ferrybot will pretend to be a very frustrated people and needs comfort from the supporter. After the simulation, Ferrybot will provide feedback on the supporter's performance.
Try it out »In this scenario, Ferrybot acts as a trainer, guiding supporters on effectively managing and promoting positive interactions within a group chat. Using specific dialogue crisis simulations, the supporter learns to mediate conflicts among group members. Ferrybot monitors the supporter performance and offers guidance and feedback once the situation de-escalates. This training enhances communication skills and conflict resolution in group settings, improving the supporter's ability to create a supportive and respectful environment.
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