Leveraging Complex Access Scenarios (CAS) to Bridge Human-Centered HCI

Abstract

Within the realm of human-computer interaction (HCI), the shift from traditional stimulus-response models to more integrated human-computer partnerships mark a significant technological evolution, which is coined as human-centered AI (HCAI). This shift is driven by the advent of autonomous agents and AI, which transform HCI from simple interactions to complex integrations where systems anticipate user needs and collaborate effectively. This integration challenges us to design systems that are not only efficient and safe but also intuitive, aligning closely with human behavior and expectations. Addressing these challenges brings about the opportunity to focus on technical objectives that are crucial in shaping the future of HCI to effectively incorporate HCAI. In this work, Complex Access Scenarios (CAS) are leveraged to not only reveal system complexity but also to propose a method to bridge HCI-to-HCAI as ‘Human-Centered HCI’.

Keywords: Human-Centered HCI, Complex Access Scenarios, Complex Computing Systems, Artificial Intelligence, Human-Computer Interaction

DOI: 10.54941/ahfe1006140