Towards personality-based assistance in human-machine interaction

In HRI, many researches emphasize the impact of the human user's personality (expressed mainly through the Extroversion dimension) over the perception of the robot's behavior. In our experiment, where participants interacted/used a novel driving assistance system, we focused on analyzing the role of each BigFive Personality dimension in people's task performance and in their reaction towards the vocal assistance system. The results show that three of the BigFive Personality dimensions (i.e., Extroversion, Openness, and Agreeableness) present a certain influence towards participants' performance. We also found that inexperienced users made better progress in using the driving interface than the experienced users. A detailed discussion about the contribution of our current work and future perspectives is provided.