Bimodal Affective Computing Interfaces for Emerging Artificial Intelligence Paradigms
Open Access
Article
Conference Proceedings
Authors: Ian Gonsher, Joshua Phelps, Shiyu Yan, Xiaoxi Yang
Abstract: For nearly 30 years, Affective Computing has described a paradigm for human-computer interaction where machines are designed to respond to human affect. With recent acceleration in the development of artificial intelligence, the possibility of conscious machines with their own experiences and emotions is emerging. This is an opportune moment for engineers and designers to speculate and consider how affective computing paradigms might be expanded to also include machine affect and an emotional capacity of AI. We explore these themes through the development of a prototype that introduces human users to machine affect.
Keywords: Artificial Intelligence, Human-Computer Interaction, Affective Computing, Human Factors, AI Alignment, Artificial Consciousness
DOI: 10.54941/ahfe1005363
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