Description du projet
Développement d’une nouvelle génération d’interfaces utilisateur anticipatives
Malgré des décennies de recherche, les interfaces utilisateur actuelles, qui ne réagissent qu’a posteriori aux entrées de l’utilisateur, ne sont toujours pas en mesure de comprendre les intentions et les besoins des utilisateurs et d’anticiper leurs actions. Cela limite leurs capacités interactives. Le projet ANTICIPATE, financé par le CER, vise à développer une nouvelle génération d’interfaces utilisateur qui s’adapte de manière proactive aux futures actions de saisie des utilisateurs en surveillant leur attention et en prédisant leurs intentions d’interaction, améliorant ainsi de manière significative le caractère naturel, l’efficacité et l’expérience utilisateur des interactions. Les applications comprennent la récupération d’informations mobiles, la gestion intelligente des notifications, le diagnostic et le suivi de l’autisme, ainsi que la formation assistée par ordinateur.
Objectif
Even after three decades of research on human-computer interaction (HCI), current general-purpose user interfaces (UI) still lack the ability to attribute mental states to their users, i.e. they fail to understand users' intentions and needs and to anticipate their actions. This drastically restricts their interactive capabilities.
ANTICIPATE aims to establish the scientific foundations for a new generation of user interfaces that pro-actively adapt to users' future input actions by monitoring their attention and predicting their interaction intentions - thereby significantly improving the naturalness, efficiency, and user experience of the interactions. Realising this vision of anticipatory human-computer interaction requires groundbreaking advances in everyday sensing of user attention from eye and brain activity. We will further pioneer methods to predict entangled user intentions and forecast interactive behaviour with fine temporal granularity during interactions in everyday stationary and mobile settings. Finally, we will develop fundamental interaction paradigms that enable anticipatory UIs to pro-actively adapt to users' attention and intentions in a mindful way. The new capabilities will be demonstrated in four challenging cases: 1) mobile information retrieval, 2) intelligent notification management, 3) Autism diagnosis and monitoring, and 4) computer-based training.
Anticipatory human-computer interaction offers a strong complement to existing UI paradigms that only react to user input post-hoc. If successful, ANTICIPATE will deliver the first important building blocks for implementing Theory of Mind in general-purpose UIs. As such, the project has the potential to drastically improve the billions of interactions we perform with computers every day, to trigger a wide range of follow-up research in HCI as well as adjacent areas within and outside computer science, and to act as a key technical enabler for new applications, e.g. in healthcare and education.
Champ scientifique
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ERC-STG - Starting GrantInstitution d’accueil
70174 Stuttgart
Allemagne