Leveraging Eye Tracking Technology for a Situation-Aware Writing Assistant

Abstract

Intelligent writing assistants use artificial intelligence to support the partial automation of the writing process. Existing research has investigated the interaction between humans and automated systems and has identified the maintenance of situation awareness (SA) as a key challenge for humans. Especially in the context of intelligent writing assistants, humans have to maintain SA as they are held responsible for the written text. Eye tracking is the key technology that enables the non-invasive detection of situation awareness based on eye movements. Building on existing research on human-robot/AI collaboration and their interplay with SA theory, we propose the augmentation of human interaction with intelligent writing assistants through the use of eye tracking technology. On this basis, writing assistants can be adapted to users’ cognitive states such as SA. We argue that for the successful implementation of intelligent writing assistants in the real world, eye-based analysis of SA and augmentation are key.