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 …

PhysioKit: An Open-Source, Low-Cost Physiological Computing Toolkit for Single-and Multi-User Studies

J Joshi, K Wang, Y Cho - Sensors, 2023 - mdpi.com
The proliferation of physiological sensors opens new opportunities to explore interactions,
conduct experiments and evaluate the user experience with continuous monitoring of bodily …

Explicating" Implicit Interaction" An examination of the concept and challenges for research

B Serim, G Jacucci - Proceedings of the 2019 chi conference on human …, 2019 - dl.acm.org
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 …

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 …

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 …

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 …

An Implicit Dialogue Injection System for Interruption Management

T Shibata, A Borisenko, A Hakone, T August… - Proceedings of the 10th …, 2019 - dl.acm.org
This paper presents our efforts in redesigning the conventional on/off interruption
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 …

[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 …

[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 …