Miklas S. Kristoffersen

Papers

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About

Miklas S. Kristoffersen is a researcher focused on the intersection of computer vision and human-computer interaction, with a particular emphasis on understanding and modeling human attention. His work addresses the challenge of developing robust, vision-based systems that can estimate a person’s attention level—a capability with transformative potential for applications in human-robot interaction, driver monitoring, and smart home environments. Kristoffersen’s key contribution lies in his exploration of subjective annotations for training attention estimation models, recognizing that attention is an inherently subjective experience that requires nuanced ground-truth data. By advocating for and implementing subjective labeling approaches, he has helped advance the field beyond purely objective or gaze-based metrics, enabling more natural and context-aware human-machine communication. While his most-cited paper, “Subjective Annotations for Vision-based Attention Level Estimation” (2019), has garnered 2 citations, its conceptual contribution is significant for researchers seeking to bridge the gap between raw visual data and the complex, internal state of human attention. Kristoffersen’s work is particularly valuable for students and engineers designing interactive systems that must respond not just to where a person looks, but to how engaged they truly are.