Personal quizmaster: a pattern approach to personalized interaction experiences with the MiRo robot

Abstract

In Human-Robot Interaction, personalization has been proposed as a strategy to increase acceptance for social robots. The present paper describes how behavioral design patterns can be used to tailor the interaction experience to the individual user's characteristics and needs. To demonstrate this approach, we designed a quiz game application for the MiRo robot. The robot acts as the quizmaster and shows different behaviors (coach-like/empathic vs. challenging/provocative) depending on the type of user who is playing the game (community-focused vs. competition-focused player). We describe the process of creating the two quizmaster personalities and related behavioral patterns as well as the technical background for integrating them with the interaction model for the quiz game. The result is a Wizard-of-Oz demonstration of the personalizable quiz game that is accompanied by an interactive video prototype remote for user studies and demo purposes.