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Sensing, Recognition, and Security / Attention Sensing and State Classification

Users' attention states are difficult to monitor and classify in real time, hindering adaptivity in human-computer interaction systems.

lightbulbPractical problemAttention Sensing and State Classification

Users' attention states are difficult to monitor and classify in real time, hindering adaptivity in human-computer interaction systems.

IUI '22Differentiating Endogenous and Exogenous Attention Shifts Based on Fixation-Related Potentials

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lightbulbPractical problemAttention Sensing and State Classification

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Related papers

"Put Your Hands Up": How Joint Attention Is Initiated Between Blind Children And Their Sighted Peers

Katherine Jones, Martin Grayson, Cecily Morrison

Looking but Not Focusing: Defining Gaze-Based Indices of Attention Lapses and Classifying Attentional States

Eugene Hwang, Jeongmi Lee

Awareness in Collaborative Mixed-Visual Ability Tangible Programming Activities

Filipa Rocha, Hugo Simão, João Nogueira

A Design Space for Vision Augmentations and Augmented Human Perception using Digital Eyewear

Tobias Langlotz, Jonathan Sutton, Holger Regenbrecht

ChatDirector: Enhancing Video Conferencing with Space-Aware Scene Rendering and Speech-Driven Layout Transition

Xun Qian, Feitong Tan, Yinda Zhang

A Contextual Inquiry of People with Vision Impairments in Cooking

Franklin Mingzhe Li, Michael Xieyang Liu, Shaun K. Kane

Differentiating Endogenous and Exogenous Attention Shifts Based on Fixation-Related Potentials

Lisa-Marie Vortmann, Moritz Schult, Felix Putze

"It Feels Like Taking a Gamble": Exploring Perceptions, Practices, and Challenges of Using Makeup and Cosmetics for People with Visual Impairments

Franklin Mingzhe Li, Franchesca Spektor, Meng Xia

Detection and Differentiation of Obstacles in Repeated Adaptive Human-Computer Interactions from Brain Activity and User Behavior

Mazen Salous, Felix Putze