Skip to Content

UC01.1: Crowd Control Deliberation

Last modified by Michaël Grauwde on 2023/05/08 09:51

Objective	The objective of the conversational agent is to stimulate value reflection and deliberation between stakeholders in a crowd control scenario.
TDP
Actors	The robot (conversational agent) helps the stakeholders reflect via the interaction with a scenario. The stakeholders (academia, industry, the public, government) interact with the system and the scenario and through that scenario the stakeholders can reflect on their values and why they feel a certain way about their values.
Pre-condition	The stakeholders are waiting in the workshop room reviewing the context of public safety.
Post-condition	Each stakeholder is aware of the values that they value in the domain of crowd control. They then can reflect on the values that they find important and that they can deliberate about with their fellow stakeholders.
Action sequence	preparation The workshop developer sets up the conversational agent in a workshop setting and online. The workshop developer selects the correct scenario (crowd control) and inputs the dialogue for the system to follow. The system generates the scenario and the dialogue for the users to follow. The workshop developer introduces the conversational agent to the participants and explains its function related to reflection and deliberation. opening and pre-game The conversational agent introduces itself to the stakeholders. The conversational agent asks the stakeholder to agree to the terms and conditions and be aware of what the agent is doing. The workshop developer asks the stakeholder if they are ready to continue and agree to the conditions of the interaction.

UC Step	Requirements	Claims	IDP
1	RQ01.0: Lead the bingo game		IDP: Explain a Group Activity
2