Slide
Centre Interdisciplinaire
de Recherche et d’Innovation
en Cybersécurité et Société
de Recherche et d’Innovation
en Cybersécurité et Société
1.
Berthiaume, M.; Corno, G.; Nolet, K.; Bouchard, S.
A novel integrated information processing model of presence Article de journal
Dans: Presence: Teleoperators and Virtual Environments, vol. 27, no 4, p. 378–399, 2021, ISSN: 10547460 (ISSN), (Publisher: MIT Press Journals).
Résumé | Liens | BibTeX | Étiquettes: Integrated informations, Integration, Literature reviews, Multisensory integration, Novel information, Physical environments, Three models
@article{berthiaume_novel_2021,
title = {A novel integrated information processing model of presence},
author = {M. Berthiaume and G. Corno and K. Nolet and S. Bouchard},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112767138&doi=10.1162%2fPRES_a_00336&partnerID=40&md5=aca4a90d1b9bbeb87e44529ced815a2e},
doi = {10.1162/PRES_a_00336},
issn = {10547460 (ISSN)},
year = {2021},
date = {2021-01-01},
journal = {Presence: Teleoperators and Virtual Environments},
volume = {27},
number = {4},
pages = {378–399},
abstract = {The objective of this ar ticle is to conduct a narrative literature review on multisensory integration and propose a novel information processing model of presence in vir tual reality (VR). The first half of the ar ticle introduces basic multisensory integration (implicit information processing) and the integration of coherent stimuli (explicit information processing) in the physical environment, offering an explanation for peo-ple’s reactions during VR immersions and is an impor tant component of our model. To help clarify these concepts, examples are provided. The second half of the ar ticle addresses multisensory integration in VR. Three models in the literature examine the role that multisensory integration plays in inducing various perceptual illusions and the relationship between embodiment and presence in VR. However, they do not relate specifically to presence and multisensory integration. We propose a novel model of presence using elements of these models and suggest that implicit and explicit information processing lead to presence. We refer to presence as a perceptual illusion that includes a plausibility illusion (the feeling that the scenario in the vir tual environment is actually occurring) and a place illusion (the feeling of being in the place depicted in the vir tual environment), based on efficient and congruent multisensory integration. © 2021 by the Massachusetts Institute of Technology.},
note = {Publisher: MIT Press Journals},
keywords = {Integrated informations, Integration, Literature reviews, Multisensory integration, Novel information, Physical environments, Three models},
pubstate = {published},
tppubtype = {article}
}
The objective of this ar ticle is to conduct a narrative literature review on multisensory integration and propose a novel information processing model of presence in vir tual reality (VR). The first half of the ar ticle introduces basic multisensory integration (implicit information processing) and the integration of coherent stimuli (explicit information processing) in the physical environment, offering an explanation for peo-ple’s reactions during VR immersions and is an impor tant component of our model. To help clarify these concepts, examples are provided. The second half of the ar ticle addresses multisensory integration in VR. Three models in the literature examine the role that multisensory integration plays in inducing various perceptual illusions and the relationship between embodiment and presence in VR. However, they do not relate specifically to presence and multisensory integration. We propose a novel model of presence using elements of these models and suggest that implicit and explicit information processing lead to presence. We refer to presence as a perceptual illusion that includes a plausibility illusion (the feeling that the scenario in the vir tual environment is actually occurring) and a place illusion (the feeling of being in the place depicted in the vir tual environment), based on efficient and congruent multisensory integration. © 2021 by the Massachusetts Institute of Technology.
2.
Nabelsi, V.; Gagnon, S.
Detecting constraints in supply chain reengineering projects: Case study of data and process integration in a hospital pharmacy Article d'actes
Dans: A., Zaremba M. Sasiadek J. Dolgui (Ed.): IFAC-PapersOnLine, p. 106–111, 2015, ISBN: 24058963 (ISSN), (Issue: 3 Journal Abbreviation: IFAC-PapersOnLine).
Résumé | Liens | BibTeX | Étiquettes: Administrative data processing, Artificial intelligence, Business Process, Business process management, Business process management (BPM), Business process re-engineering, Case-studies, Data integration, Data mining, Data models, Data structures, Data warehouses, Decision support system, Decision support system (dss), Decision support systems, Enterprise resource management, Extract transform and load, Extract Transform and Load (ETL), Hospitals, Information management, Integration, Process management, Project case, Re-engineering projects, Reengineering, Supply chain management, Supply Chain Management (SCM), Supply chain managements (SCM), System architectures, Verification method, Verification of information system
@inproceedings{nabelsi_detecting_2015,
title = {Detecting constraints in supply chain reengineering projects: Case study of data and process integration in a hospital pharmacy},
author = {V. Nabelsi and S. Gagnon},
editor = {Zaremba M. Sasiadek J. Dolgui A.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84953887968&doi=10.1016%2fj.ifacol.2015.06.066&partnerID=40&md5=ce9be2cbe2fdcfc4872793c13f4228a2},
doi = {10.1016/j.ifacol.2015.06.066},
isbn = {24058963 (ISSN)},
year = {2015},
date = {2015-01-01},
booktitle = {IFAC-PapersOnLine},
volume = {28},
pages = {106–111},
abstract = {This paper discusses how messy data may be a hidden failure factor that Business Process Reengineering (BPR) projects typically cannot detect during the planning phase. Our case study deals with Supply Chain Management (SCM) within two major urban hospitals, involving $2 million in minimum stocks for drug inventory. Our project addresses the feasibility of the hospital's data warehousing integration, especially at the stage of Extract, Transform, and Load (ETL). We conclude with a proposed system architecture audit and verification method that may serve to guide reengineering project planning and execution. © 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.},
note = {Issue: 3
Journal Abbreviation: IFAC-PapersOnLine},
keywords = {Administrative data processing, Artificial intelligence, Business Process, Business process management, Business process management (BPM), Business process re-engineering, Case-studies, Data integration, Data mining, Data models, Data structures, Data warehouses, Decision support system, Decision support system (dss), Decision support systems, Enterprise resource management, Extract transform and load, Extract Transform and Load (ETL), Hospitals, Information management, Integration, Process management, Project case, Re-engineering projects, Reengineering, Supply chain management, Supply Chain Management (SCM), Supply chain managements (SCM), System architectures, Verification method, Verification of information system},
pubstate = {published},
tppubtype = {inproceedings}
}
This paper discusses how messy data may be a hidden failure factor that Business Process Reengineering (BPR) projects typically cannot detect during the planning phase. Our case study deals with Supply Chain Management (SCM) within two major urban hospitals, involving $2 million in minimum stocks for drug inventory. Our project addresses the feasibility of the hospital's data warehousing integration, especially at the stage of Extract, Transform, and Load (ETL). We conclude with a proposed system architecture audit and verification method that may serve to guide reengineering project planning and execution. © 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.