Brain-computer interfaces and augmented reality: A state of the art
H Si-Mohammed, FA Sanz, G Casiez… - Graz Brain-Computer …, 2017 - inria.hal.science
This paper reviews the state of the art of using Brain-Computer Interfaces (BCIs) in
combination with Augmented Reality (AR). First it introduces the field of AR and its main …
combination with Augmented Reality (AR). First it introduces the field of AR and its main …
PhysioKit: An Open-Source, Low-Cost Physiological Computing Toolkit for Single-and Multi-User Studies
The proliferation of physiological sensors opens new opportunities to explore interactions,
conduct experiments and evaluate the user experience with continuous monitoring of bodily …
conduct experiments and evaluate the user experience with continuous monitoring of bodily …
Explicating" Implicit Interaction" An examination of the concept and challenges for research
The term implicit interaction is often used to denote interactions that differ from traditional
purposeful and attention demanding ways of interacting with computers. However, there is a …
purposeful and attention demanding ways of interacting with computers. However, there is a …
Phylter: a system for modulating notifications in wearables using physiological sensing
D Afergan, SW Hincks, T Shibata… - … , AC 2015, Held as Part of …, 2015 - Springer
As wearable computing becomes more mainstream, it holds the promise of delivering timely,
relevant notifications to the user. However, these devices can potentially inundate the user …
relevant notifications to the user. However, these devices can potentially inundate the user …
Augmenting Human Prospective Memory through Cognition-Aware Technologies
WTS Chan - 2022 - researchspace.auckland.ac.nz
Memory is a cognitive ability used in our everyday lives. However, it eventually declines and
its adaptive nature results in memory troubles. We most often face prospective memory …
its adaptive nature results in memory troubles. We most often face prospective memory …
Implicit brain-computer interfaces for adaptive systems: Improving performance through physiological sensing
DA Afergan - 2015 - search.proquest.com
When humans interact with systems, we are limited to the direct commands to the system
and results from these commands. While a machine is discrete and deterministic, the human …
and results from these commands. While a machine is discrete and deterministic, the human …
An Implicit Dialogue Injection System for Interruption Management
This paper presents our efforts in redesigning the conventional on/off interruption
management tactic (aka" Do Not Disturb Mode") for situations where interruptions are …
management tactic (aka" Do Not Disturb Mode") for situations where interruptions are …
[PDF][PDF] Augmenting Human Prospective Memory Through Cognition-Aware Technologies
WT Samantha - 2022 - researchgate.net
Memory is needed in our everyday lives, be it during learning, work and reminiscing. The
idea of 'augmenting human intellect'stems from the visions of Engelbart (1962), Xia and …
idea of 'augmenting human intellect'stems from the visions of Engelbart (1962), Xia and …
[PDF][PDF] Decoding Cognitive States from fNIRS Neuroimaging Data Using Machine Learning
R Liu - 2020 - digital.wpi.edu
Building brain-computer interfaces that can automatically adapt to an individual's changing
cognitive states has important implications in many domains, such as gaming, driving, and …
cognitive states has important implications in many domains, such as gaming, driving, and …
[PDF][PDF] Hook: An Embedded Domain-Specific Language for Fusing Implicit Interactions to Explicit Event Handlers
A MATTHEW, RJK JACOB - eecs.tufts.edu
Emerging physiological sensing technologies provide a multitude of data about the user's
physiological status. Such data combined with advanced computational capabilities, such as …
physiological status. Such data combined with advanced computational capabilities, such as …