Augmented human mind

Brun, Damien; Vallerand, Robert J.; George, Sébastien

doi:10.1145/3123024.3129273

Cited by 3 publications

(2 citation statements)

References 17 publications

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“…When the user with immersive headsets does not understand the contents or objects, the BCI interface provides feedback to translate the uncomprehended words and phrases. When the blurred interfaces have inclined to our reality [106], such tools for monitoring our levels of comprehension of unfamiliar texts could be extended to physical counterparts and make users more aware of the environment [214]) improving cognitive abilities [66], as many existing works propose augmented information on texts [50], daily objects [199], and office environments [97].…”

Section: Exg-based Applications In the Context Of Xrmentioning

confidence: 99%

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Emerging ExG-based NUI Inputs in Extended Realities: A Bottom-up Survey

Shatilov

Chatzopoulos

Lee

et al. 2021

ACM Trans. Interact. Intell. Syst.

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Incremental and quantitative improvements of two-way interactions with e x tended realities (XR) are contributing toward a qualitative leap into a state of XR ecosystems being efficient, user-friendly, and widely adopted. However, there are multiple barriers on the way toward the omnipresence of XR; among them are the following: computational and power limitations of portable hardware, social acceptance of novel interaction protocols, and usability and efficiency of interfaces. In this article, we overview and analyse novel natural user interfaces based on sensing electrical bio-signals that can be leveraged to tackle the challenges of XR input interactions. Electroencephalography-based brain-machine interfaces that enable thought-only hands-free interaction, myoelectric input methods that track body gestures employing electromyography, and gaze-tracking electrooculography input interfaces are the examples of electrical bio-signal sensing technologies united under a collective concept of ExG. ExG signal acquisition modalities provide a way to interact with computing systems using natural intuitive actions enriching interactions with XR. This survey will provide a bottom-up overview starting from (i) underlying biological aspects and signal acquisition techniques, (ii) ExG hardware solutions, (iii) ExG-enabled applications, (iv) discussion on social acceptance of such applications and technologies, as well as (v) research challenges, application directions, and open problems; evidencing the benefits that ExG-based Natural User Interfaces inputs can introduce to the area of XR.

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Section: Exg-based Applications In the Context Of Xrmentioning

confidence: 99%

“…powers [66], as many existing works propose augmented information on texts [50], daily objects [199], and office environments [97].…”

Section: Biometrics and Security In Xrmentioning

confidence: 99%

Emerging ExG-based NUI Inputs in Extended Realities: A Bottom-up Survey

Shatilov

Chatzopoulos

Lee

et al. 2021

ACM Trans. Interact. Intell. Syst.

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A Mixed Reality Cognitive Orthosis to Support Older Adults in Achieving Their Daily Living Activities: Focus Group Study With Clinical Experts

Yaddaden¹,

Spalla²,

Gouin-vallerand³

et al. 2022

JMIR Rehabil Assist Technol

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Background Mixed reality is an emerging technology that allows us to blend virtual objects into the actual user’s environment. This can be realized using head-mounted displays. Many recent studies have suggested the possibility of using this technology to support cognition in people with neurodegenerative disorders (NDs). However, most studies have explored improvements in cognition rather than in independence and safety during the accomplishment of daily living activities. Therefore, it is crucial to document the possibility of using mixed reality to support the independence of older adults in their daily lives. Objective This study is part of a larger user-centered study of a cognitive orthosis using pure mixed reality to support the independence of people living with NDs. This study aimed to explore (the difficulties encountered by older adults with NDs in their daily life to ensure that pure mixed reality meets their needs, (the most effective interventions with this population to determine what types of assistance should be provided by pure mixed reality technology, how the pure mixed reality technology should provide assistance to promote aging in place, and the main facilitators of and barriers to the use of this technology. Methods We conducted a descriptive, qualitative study. A total of 5 focus groups were completed with occupational therapists who had expertise in the disease and its functional impacts (N=29) to gather information. Each focus group met once for a 1-hour period. All sessions were held over a 3-month period. A semistructured interview guide was used. All group interviews were audiotaped with the consent of each participant to facilitate the data analysis. We conducted inductive qualitative analysis in four stages using a thematic analysis approach: full transcription of the audio recordings, first-order coding of the transcribed data, second-order coding from the first-order code list, and data reduction and matrix development. Results The results suggested that the main difficulties encountered by this population were in remembering to complete tasks, initiating the tasks, and planning the tasks. Several interventions are used to improve the independence of this population, such as prevention, simplification or facilitation, adaptation, and compensation. The use of pure mixed reality in older adults with NDs to promote independence and safety at home is promising and may respond to several clinical functions identified by the participants. Finally, pure mixed reality has good potential for use in this population and involves certain facilitators and obstacles, such as resources, technical aspects, and social considerations. Conclusions The cognitive orthosis that will be developed in light of this study will act as a proof of concept for the possibility of supporting people with NDs using pure mixed reality.

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Augmented Humanity: A Systematic Mapping Review

Guerrero

Silva

Fernández-Caballero

et al. 2022

Sensors

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Augmented humanity (AH) is a term that has been mentioned in several research papers. However, these papers differ in their definitions of AH. The number of publications dealing with the topic of AH is represented by a growing number of publications that increase over time, being high impact factor scientific contributions. However, this terminology is used without being formally defined. The aim of this paper is to carry out a systematic mapping review of the different existing definitions of AH and its possible application areas. Publications from 2009 to 2020 were searched in Scopus, IEEE and ACM databases, using search terms “augmented human”, ”human augmentation” and “human 2.0”. Of the 16,914 initially obtained publications, a final number of 133 was finally selected. The mapping results show a growing focus on works based on AH, with computer vision being the index term with the highest number of published articles. Other index terms are wearable computing, augmented reality, human–robot interaction, smart devices and mixed reality. In the different domains where AH is present, there are works in computer science, engineering, robotics, automation and control systems and telecommunications. This review demonstrates that it is necessary to formalize the definition of AH and also the areas of work with greater openness to the use of such concept. This is why the following definition is proposed: “Augmented humanity is a human–computer integration technology that proposes to improve capacity and productivity by changing or increasing the normal ranges of human function through the restoration or extension of human physical, intellectual and social capabilities.”

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Augmented human mind

Cited by 3 publications

References 17 publications

Emerging ExG-based NUI Inputs in Extended Realities: A Bottom-up Survey

Emerging ExG-based NUI Inputs in Extended Realities: A Bottom-up Survey

A Mixed Reality Cognitive Orthosis to Support Older Adults in Achieving Their Daily Living Activities: Focus Group Study With Clinical Experts

Augmented Humanity: A Systematic Mapping Review

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