Augmented Cognition. Neurocognition and Machine Learning 11th International Conference, AC 2017, Held as Part of HCI International 2017, Vancouver, BC, Canada, July 9-14, 2017, Proceedings, Part I için kapak resmi
Augmented Cognition. Neurocognition and Machine Learning 11th International Conference, AC 2017, Held as Part of HCI International 2017, Vancouver, BC, Canada, July 9-14, 2017, Proceedings, Part I
Başlık:
Augmented Cognition. Neurocognition and Machine Learning 11th International Conference, AC 2017, Held as Part of HCI International 2017, Vancouver, BC, Canada, July 9-14, 2017, Proceedings, Part I
Yazar:
Schmorrow, Dylan D. editor.
ISBN:
9783319586281
Edisyon:
1st ed. 2017.
Fiziksel Niteleme:
XXIV, 586 p. 189 illus. online resource.
Seri:
Lecture Notes in Artificial Intelligence ; 10284
İçindekiler:
Electroencephalography and brain activity measurement -- Eye tracking in augmented cognition -- Physiological measuring and bio-sensing -- Machine learning in augmented cognition -- Cognitive load and performance -- Adaptive learning systems -- Brain-computer interfaces -- Human cognition and behavior in complex tasks and environments.
Özet:
This volume constitutes the proceedings of the 11th International Conference on Augmented Cognition, AC 2017, held as part of the International Conference on Human-Computer Interaction, HCII 2017, which took place in Vancouver, BC, Canada, in July 2017. HCII 2017 received a total of 4340 submissions, of which 1228 papers were accepted for publication after a careful reviewing process. The papers thoroughly cover the entire field of Human-Computer Interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas. The two volumes set of AC 2017 presents 81 papers which are organized in the following topical sections: electroencephalography and brain activity measurement, eye tracking in augmented cognition, physiological measuring and bio-sensing, machine learning in augmented cognition, cognitive load and performance, adaptive learning systems, brain-computer interfaces, human cognition and behavior in complex tasks and environments.