Introducing Peripheral Awareness as a Neurological State for Human-computer Integration

Andrés, Josh; schraefel, m.c.; Semertzidis, Nathan; Dwivedi, Brahmi; Kulwe, Yutika Chandrashekhar; Kaenel, Juerg von; Mueller, Florian

doi:10.1145/3313831.3376128

Cited by 42 publications

(4 citation statements)

References 42 publications

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“…Researchers have used the OpenBCI EEG system to, for instance, observe attention lapses during cycling in traffic [2] or to enable a concentration-based BCI game [3]. Beyond this default system configuration (Cyton + Ultracortex headset), a recent review study on low-cost EEG data acquisition systems highlights the OpenBCI system's adaptability to usage with other components through 3D-printed parts and exchangeable electrodes [65].…”

Section: The Openbci Platform and Previous Ear-eeg Extensionsmentioning

confidence: 99%

“…EEG-based Brain-Computer-Interfaces (BCI) are vividly researched in the form of either passive observation systems or active input systems [10,43]. Passive BCI applications approach, for example, the inference of sleep quality [11], the monitoring of mental workload and stress dynamics [45,69], or the detection of dangerous attention lapses in traffic [2]. Active BCI systems leverage intentionally generated brain activity as a user interface to control digital and robotic applications.…”

Section: Introductionmentioning

confidence: 99%

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Open-source concealed EEG data collection for Brain-computer-interfaces - neural observation through OpenBCI amplifiers with around-the-ear cEEGrid electrodes

Knierim

Berger

Reali

2021

Brain-Computer Interfaces

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Observing brain activity in real-world settings offers exciting possibilities like the support of physical health, mental well-being, and thought-controlled interaction modalities. The development of such applications is, however, strongly impeded by poor accessibility to research-grade neural data and by a lack of easy-to-use and comfortable sensors. This work presents the cost-effective adaptation of concealed around-the-ear EEG electrodes (cEEGrids) to the open-source OpenBCI EEG signal acquisition platform to provide a promising new toolkit. An integrated system design is described, that combines publicly available electronics components with newly designed 3D-printed parts to form an easily replicable, versatile, single-unit around-the-ear EEG recording system for prolonged use and easy application development. To demonstrate the system's feasibility, observations of experimentally induced changes in visual stimulation and mental workload are presented. Lastly, as there have been no applications of the cEEGrids to HCI contexts, a novel application area for the system is investigated, namely the observation of flow experiences through observation of temporal Alpha power changes. Support for a link between temporal Alpha power and flow is found, which indicates an efficient engagement of verbal-analytic reasoning with intensified flow experiences, and specifically intensified task absorption.CCS CONCEPTS • Hardware~Emerging technologies~Biology-related information processing~Neural systems • Human-centered computing~Human computer interaction (HCI)~HCI design and evaluation methods~Field studies • Human-centered computing~Human computer interaction (HCI)~HCI design and evaluation methods~Laboratory experiments

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Section: The Openbci Platform and Previous Ear-eeg Extensionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Open-source concealed EEG data collection for Brain-computer-interfaces - neural observation through OpenBCI amplifiers with around-the-ear cEEGrid electrodes

Knierim

Berger

Reali

2021

Brain-Computer Interfaces

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“…In this study, the horizontal FOV is divided into two sections: the central FOV and the peripheral FOV, delineated by the distinctions between central vision and peripheral vision [32]. Typically, the central FOV encompasses approximately 120 degrees around the point of fixation, while the peripheral FOV extends beyond the central FOV, covering the outer edges of the FOV (Figure 1).…”

Section: Introductionmentioning

confidence: 99%

The Effects of Eye Illuminance Distribution in the Horizontal Field of View on Human Performance in a Home Paper-Based Learning Situation

Luo,

Zhao,

Zhang

et al. 2024

Buildings

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Previous studies have focused on task/ambient illumination for visual effects and eye illumination for non-visual effects. In this context, eye illumination within the non-visual realm was defined as vertical non-visual eye illuminance. Considering the functional specificity of central vision and peripheral vision, this study aims to explore whether the distribution of eye illuminance in the horizontal field of view (FOV) affects human performance in home paper-based learning settings. In this study, a within-subject design was used to investigate the effects of eye illuminance distribution on mental perception, task performance, and physiological health while maintaining constant task illuminance and correlated color temperature (CCT). The findings revealed that eye illuminance and its distribution in the horizontal FOV had complex effects on visual fatigue, Landolt ring performance, heart rate variability, and luminous environment appraisal. A relatively optimal lighting configuration was suggested—Scene 4, which was characterized by an eye illuminance level in central FOV of 186 lx and an “m” shaped eye illuminance distribution pattern. This indicates the importance of considering eye illuminance distribution in the horizontal FOV, rather than solely focusing on vertical eye illuminance.

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“…The Figure 1: Ena, an e-bike which integrates with the riders visual cortex through EEG, allowing the bike to detect sudden changes in the riders peripheral vision. [1] work, articulating a synthesis of contributions made toward Human-Computer Integration, summarised the contemporary state of the emerging paradigm. The paper defined HInt as "a new paradigm with the key property that computers become closely integrated with the user", which included examples in which "humans and digital technology work together, either towards a shared goal or towards complementary goals (symbiosis)"; and "integration in which devices extend the experienced human body or in which the human body extends devices (fusion)".…”

Section: Introductionmentioning

confidence: 99%

What We Talk About When We Talk About Human-Computer Integration

Semertzidis

Fang

Lopes

et al. 2022

CHI Conference on Human Factors in Computing Systems Extended Abstracts

Self Cite

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In 2017, a CHI panel titled "Integration vs Powerful tools" debated whether our relationship with digital technology had begun to shift from interaction to integration. Today, Human-Computer integration developed into an emerging paradigm, rapidly gaining traction and developing a theoretical basis over a number of recent symposiums and publications. However, as more contributions are made to the establishment of Human-Computer Integration, the more its concepts and principles seem to diverge, such that we now find that each theorist talks about something different when they say "integration". Building on the 2017 panel, in this panel, we ask "What is the essence of Human-Computer Integration? And what are its implications for the future of HCI?" This panel seeks to facilitate discourse between leading thinkers from diverse backgrounds with the audience to come to a shared vision and mutual understanding of human-computer integration.

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Introducing Peripheral Awareness as a Neurological State for Human-computer Integration

Cited by 42 publications

References 42 publications

Open-source concealed EEG data collection for Brain-computer-interfaces - neural observation through OpenBCI amplifiers with around-the-ear cEEGrid electrodes

Open-source concealed EEG data collection for Brain-computer-interfaces - neural observation through OpenBCI amplifiers with around-the-ear cEEGrid electrodes

The Effects of Eye Illuminance Distribution in the Horizontal Field of View on Human Performance in a Home Paper-Based Learning Situation

What We Talk About When We Talk About Human-Computer Integration

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