Résumé: Recent advances in Artificial Intelligence (AI) and data analytics have enabled new forms of human-computer interaction characterized by greater adaptability and better human-machine symbiosis. To facilitate the development of next generation intelligent systems that can truly understand and interact with humans, it is important that they can understand and adapt to individual differences and personality traits. Here we define the word "personality" broadly to refer to the patterns of human thoughts, feelings, social adjustments, and behaviors consistently exhibited over time that strongly influence one's expectations, self-perceptions, values, and attitudes. This special issue explores research frontiers in intelligent user interfaces with a special focus on personality modeling. It includes a selection of seven papers that make key contributions to our understanding of this space, addressing a variety of research issues and methodological approaches. We feature novel research employing data-driven approaches to sift through empirical evidence to uncover personality traits computationally. The featured research covers a diverse set of individual traits, ranging from personality and empathy to motivation. We also feature experimental studies to investigate how computational models of personality impact intelligent user interface design. The experimental studies cover a variety of applications, ranging from human robot interaction and e-learning to movies and visual recommendation.

Langue: Anglais