Corrigendum to “Enrichment of Human-Computer Interaction in Brain-Computer Interfaces via Virtual Environments”

Alonso-Valerdi, Luz María; Mercado-Garcia, V. R.

doi:10.1155/2018/7129735

Cited by 3 publications

(3 citation statements)

References 1 publication

(1 reference statement)

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“…Among these, multimodal interactions provided in the MXR applications are particularly important to enable patients’ physical and mental health needs to be closely interwoven through HCI. And the essence of HCI is in stimulating user's cognitive process with multi-sensory experience through the tri-dimensional representation of virtual environment, which consists of two key elements: system requirements and user concerns ( 78 , 81 , 82 ). In other words, multimodal interactions can significantly increase the usability of XR by the technologies of employing simultaneous human senses, but unfortunately those sensing technologies are still immature ( 83 ).…”

Section: Related Workmentioning

confidence: 99%

Implications of immersive technologies in healthcare sector and its built environment

Yang

2023

Front. Med. Technol.

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ObjectivesThis research focuses on how built environment experts can contribute to the MXR-enabled digital innovation as part of the multidisciplinary team effort to ensure post-pandemic resilience in healthcare built environment. The goal of this research is to help healthcare providers, built environment experts, and policy makers respectively: (1) Advocate the benefits of MXR for innovating health and social care; (2) Spark debate across networks of expertise to create health-promoting environment; and (3) Understand the overriding priorities in making effective pathways to the implementation of MXR.MethodsTo highlight the novelty of this research, the study relies on two qualitative methodologies: exploratory literature review and semi-structured interviews. Based on the evaluation of prior works and cross-national case studies, hypotheses are formulated from three arenas: (1) Cross-sectional Initiatives for Post-pandemic Resilience; (2) Interoperability and Usability of Next-gen Medicines; and (3) Metaverse and New Forms of Value in Future Healthcare Ecosystems. To verify those hypotheses, empirical findings are derived from in-depth interviews with nine key informants.ResultsThe main findings are summarized under the following three themes: (1) Synergism between Architecture and Technology; (2) Patient Empowerment and Staff Support; and (3) Scalable Health and Wellbeing in Non-hospital and Therapeutic Settings. Firstly, both built environment and healthcare sectors can benefit from the various capabilities of MXR through cross-sectional initiatives, evidence-based practices, and participatory approaches. Secondly, a confluence of knowledge and methods of HCI and HBI can increase the interoperability and usability of MXR for the patient-centered and value-based healthcare models. Thirdly, the MXR-enabled technological regime will largely affect the new forms of value in healthcare premises by fostering more decentralized, preventive, and therapeutic characteristics in the future healthcare ecosystems.ConclusionWhether it's virtual or physical, our healthcare systems have placed great emphasis on the rigor of evidence-based approach linking health outcome to a clinical environment. Henceforth, built environment experts should seek closer ties with the MXR ecosystems for the co-production of scalable health and wellbeing in non-hospital and therapeutic settings. Ultimately, this is to improve resource efficiency in the healthcare sector while considering the transition of health resources towards in silico status by increasing the implementation of MXR.

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Section: Related Workmentioning

confidence: 99%

Implications of immersive technologies in healthcare sector and its built environment

Yang

2023

Front. Med. Technol.

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“…Some new technologies might help here. For example, using virtual reality for human-computer interaction [52] to support gaming and/or scenario planning can be useful in experimenting with new possibilities and enable the individual to test different identities, issues and solutions. Additional stages of validation and confirmation are of course advisable as well as a follow up.…”

Section: The Quantum Metaphor and Maybe Morementioning

confidence: 99%

The Individual and the Organizational Model of Quantum Decision-Making and Learning: An Introduction and the Application of the Quadruple Loop Learning

Russ

2021

Merits

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The new Post Accelerating Data and Knowledge Online Society, or ‘Padkos’, requires a new model of decision-making. This introductory paper proposes a model where decision making and learning are a single symbiotic process, incorporating man and machine, as well as the AADD (ánthrōpos, apparatus, decider, doctrina) amalgamated diamond model of individual and organizational decision-making and learning processes. The learning is incorporated by using a newly proposed quadruple loop learning model. This model allows for controlled changes of identity, the process of creating and the sense-making of new mental models, assumptions, and reflections. The model also incorporates the recently proposed model of quantum decision making, where time collapse of the opted past and the anticipated future (explicitly including its time horizon) into the present plays a key role in the process, leveraging decision making and learning by human as well as artificial intelligence (AI) and machine learning (ML) algorithms.

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“…One of the key targets of the human-computer interaction intelligence [1] is to improve the user's intention perception derived from the humancomputer interaction system. It provides theoretical basis and technical support for the design of the adaptive human-computer interaction system as well as reducing personal errors during the operation [2].…”

Section: Introductionmentioning

confidence: 99%

Research on Human-Computer Interaction Intention Recognition Based on EEG and Eye Movement

et al. 2020

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In this work, we present a novel method to intention recognition, based on electroencephalogram (EEG) and eye movement in human-computer interaction(HCI). The fusion of EEG and eye movement will allow the utmost of the advantages of the two physiological signals. Signals of EEG and eye movement were collected for feature extraction, recognition network of machine learning pattern was input for intent recognition, final recognition result was attained by decision-level fusion.We compare the results of the Intention Recognition Algorithms to those of an experiment involving the intention recognition of the operator in a simulated flight mission. In most every case, results show that the intention recognition algorithms performed better than solely rely on single signal.

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Corrigendum to “Enrichment of Human-Computer Interaction in Brain-Computer Interfaces via Virtual Environments”

Cited by 3 publications

References 1 publication

Implications of immersive technologies in healthcare sector and its built environment

Implications of immersive technologies in healthcare sector and its built environment

The Individual and the Organizational Model of Quantum Decision-Making and Learning: An Introduction and the Application of the Quadruple Loop Learning

Research on Human-Computer Interaction Intention Recognition Based on EEG and Eye Movement

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