Human AI Co Moderation in Team Meetings - Evaluating a Real Time Booster for Clarity and Insight

This thesis is embedded in an applied research collaboration between UZH, ZHAW (Prof. de Spindler) and an industry partner. The project explores a new category of digital co-facilitation that helps teams reflect during a conversation. A prototype of a so called “Clarity and Insight” module will be developed and should be evaluated as part of the thesis. This module transcribes live discussions, identifies blind spots, tracks convergence or divergence, and provides micro interventions that support shared understanding.

Your work will focus on understanding how people interact with this system in real team sessions. You will evaluate how well the prototype supports reflection, how users perceive its suggestions, and how it fits into existing collaboration practices. The goal is to generate evidence of usefulness, acceptance, and behavioural effects.

Possible tasks include:

• Preparing and running controlled team sessions with real users
• Analysing interaction patterns, acceptance, and perceived value
• Identifying moments where the co moderator helps or disrupts the flow
• Proposing improvements to the intervention logic or interface
• Contributing to a refined design based on human centred insights

Information systems, human computer interaction, applied AI, psychology of interaction, or related fields.

• Interest in human AI collaboration and conversational interfaces
• Aiming to run user studies and interpret qualitative or mixed data
• Curiosity for group processes and collaborative work
• Motivation to work with early-stage prototypes
• German skills are helpful

For more information please contact Prof. Dr. Gerhard Schwabe