  Robotic well-being coaches have been shown to successfully promote people's
mental well-being. To provide successful coaching, a robotic coach should have
the capability to repair the mistakes it makes. Past investigations of robot
mistakes are limited to game or task-based, one-off and in-lab studies. This
paper presents a 4-phase design process to design repair strategies for robotic
longitudinal well-being coaching with the involvement of real-world
stakeholders: 1) designing repair strategies with a professional well-being
coach; 2) a longitudinal study with the involvement of experienced users (i.e.,
who had already interacted with a robotic coach) to investigate the repair
strategies defined in (1); 3) a design workshop with users from the study in
(2) to gather their perspectives on the robotic coach's repair strategies; 4)
discussing the results obtained in (2) and (3) with the mental well-being
professional to reflect on how to design repair strategies for robotic
coaching. Our results show that users have different expectations for a robotic
coach than a human coach, which influences how repair strategies should be
designed. We show that different repair strategies (e.g., apologizing,
explaining, or repairing empathically) are appropriate in different scenarios,
and that preferences for repair strategies change during longitudinal
interactions with the robotic coach.
