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.