AHCI RESEARCH GROUP
Publications
Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH
Scientific Publications
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You can expand the Abstract, Links and BibTex record for each paper.
2023
Palombi, Tommaso; Galli, Federica; Giancamilli, Francesco; D’Amico, Monica; Alivernini, Fabio; Gallo, Luigi; Neroni, Pietro; Predazzi, Marco; Pietro, Giuseppe De; Lucidi, Fabio; Giordano, Antonio; Chirico, Andrea
The role of sense of presence in expressing cognitive abilities in a virtual reality task: an initial validation study Journal Article
In: Scientific Reports, vol. 13, no. 1, pp. 13396, 2023, ISSN: 2045-2322.
Abstract | Links | BibTeX | Tags: Healthcare, Mild Cognitive Impairment, Virtual Reality
@article{palombi2023role,
title = {The role of sense of presence in expressing cognitive abilities in a virtual reality task: an initial validation study},
author = { Tommaso Palombi and Federica Galli and Francesco Giancamilli and Monica D’Amico and Fabio Alivernini and Luigi Gallo and Pietro Neroni and Marco Predazzi and Giuseppe De Pietro and Fabio Lucidi and Antonio Giordano and Andrea Chirico},
url = {https://www.nature.com/articles/s41598-023-40510-0},
doi = {10.1038/s41598-023-40510-0},
issn = {2045-2322},
year = {2023},
date = {2023-01-01},
urldate = {2023-01-01},
journal = {Scientific Reports},
volume = {13},
number = {1},
pages = {13396},
publisher = {Nature Publishing Group UK London},
abstract = {There is a raised interest in literature to use Virtual Reality (VR) technology as an assessment tool for cognitive domains. One of the essential advantages of transforming tests in an immersive virtual environment is the possibility of automatically calculating the test's score, a time-consuming process under natural conditions. Although the characteristics of VR can deliver different degrees of immersion in a virtual environment, the sense of presence could jeopardize the evolution of these practices. The sense of presence results from a complex interaction between human, contextual factors, and the VR environment. The present study has two aims: firstly, it contributes to the validation of a virtual version of the naturalistic action test (i.e., virtual reality action test); second, it aims to evaluate the role of sense of presence as a critical booster of the expression of cognitive abilities during virtual reality tasks. The study relies on healthy adults tested in virtual and real conditions in a cross-over research design. The study's results support the validity of the virtual reality action test. Furthermore, two structural equation models are tested to comprehend the role of sense of presence as a moderator in the relationship between cognitive abilities and virtual task performance.},
keywords = {Healthcare, Mild Cognitive Impairment, Virtual Reality},
pubstate = {published},
tppubtype = {article}
}
There is a raised interest in literature to use Virtual Reality (VR) technology as an assessment tool for cognitive domains. One of the essential advantages of transforming tests in an immersive virtual environment is the possibility of automatically calculating the test's score, a time-consuming process under natural conditions. Although the characteristics of VR can deliver different degrees of immersion in a virtual environment, the sense of presence could jeopardize the evolution of these practices. The sense of presence results from a complex interaction between human, contextual factors, and the VR environment. The present study has two aims: firstly, it contributes to the validation of a virtual version of the naturalistic action test (i.e., virtual reality action test); second, it aims to evaluate the role of sense of presence as a critical booster of the expression of cognitive abilities during virtual reality tasks. The study relies on healthy adults tested in virtual and real conditions in a cross-over research design. The study's results support the validity of the virtual reality action test. Furthermore, two structural equation models are tested to comprehend the role of sense of presence as a moderator in the relationship between cognitive abilities and virtual task performance.
2018
Caggianese, Giuseppe; Chirico, Andrea; Pietro, Giuseppe De; Gallo, Luigi; Giordano, Antonio; Predazzi, Marco; Neroni, Pietro
Towards a Virtual Reality Cognitive Training System for Mild Cognitive Impairment and Alzheimer's Disease Patients Proceedings Article
In: 2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA), pp. 663–667, 2018.
Abstract | Links | BibTeX | Tags: Alzheimer's disease, Cognitive training, Dementia, Healthcare, Mild Cognitive Impairment, Monitoring, Training, Virtual Reality
@inproceedings{caggianeseVirtualRealityCognitive2018,
title = {Towards a Virtual Reality Cognitive Training System for Mild Cognitive Impairment and Alzheimer's Disease Patients},
author = { Giuseppe Caggianese and Andrea Chirico and Giuseppe De Pietro and Luigi Gallo and Antonio Giordano and Marco Predazzi and Pietro Neroni},
doi = {10.1109/WAINA.2018.00164},
year = {2018},
date = {2018-05-01},
booktitle = {2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)},
pages = {663--667},
abstract = {The rapid growth of the aged population has stimulated research directed at designing interventions to support the associated social, economic and health challenges in an elderly population. Environmental interventions, like cognitive rehabilitation, stimulation and training can significantly improve cognitive functioning, so mitigating the cognitive decline. In this area, the adoption of state-of-the-art virtual reality technologies can provide a cost-effective, flexible and comprehensive solution for realizing complex cognitive training environments. With the aim of preserving mnestic and logical-praxic functions of patients with MCI or Alzheimer's disease at the early stages, in this paper we describe our ongoing work in designing a novel, fullyequipped virtual reality cognitive training system. The system is characterized by a high degree of realism and interactivity, to provide the patient with an adequate sense of presence within the virtual environment. Moreover, it is able to monitor the patient's biomedical signals and collect quantitative data on the training sessions, so allowing the therapist to analyze and tailor the training strategies to the patient.},
keywords = {Alzheimer's disease, Cognitive training, Dementia, Healthcare, Mild Cognitive Impairment, Monitoring, Training, Virtual Reality},
pubstate = {published},
tppubtype = {inproceedings}
}
The rapid growth of the aged population has stimulated research directed at designing interventions to support the associated social, economic and health challenges in an elderly population. Environmental interventions, like cognitive rehabilitation, stimulation and training can significantly improve cognitive functioning, so mitigating the cognitive decline. In this area, the adoption of state-of-the-art virtual reality technologies can provide a cost-effective, flexible and comprehensive solution for realizing complex cognitive training environments. With the aim of preserving mnestic and logical-praxic functions of patients with MCI or Alzheimer's disease at the early stages, in this paper we describe our ongoing work in designing a novel, fullyequipped virtual reality cognitive training system. The system is characterized by a high degree of realism and interactivity, to provide the patient with an adequate sense of presence within the virtual environment. Moreover, it is able to monitor the patient's biomedical signals and collect quantitative data on the training sessions, so allowing the therapist to analyze and tailor the training strategies to the patient.
Caggianese, Giuseppe; Chirico, Andrea; Pietro, Giuseppe De; Gallo, Luigi; Giordano, Antonio; Predazzi, Marco; Neroni, Pietro
Towards a Virtual Reality Cognitive Training System for Mild Cognitive Impairment and Alzheimer's Disease Patients Proceedings Article
In: 2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA), pp. 663–667, 2018.
Abstract | Links | BibTeX | Tags: Alzheimer's disease, Cognitive training, Dementia, Healthcare, Mild Cognitive Impairment, Monitoring, Training, Virtual Reality
@inproceedings{caggianese_towards_2018,
title = {Towards a Virtual Reality Cognitive Training System for Mild Cognitive Impairment and Alzheimer's Disease Patients},
author = {Giuseppe Caggianese and Andrea Chirico and Giuseppe De Pietro and Luigi Gallo and Antonio Giordano and Marco Predazzi and Pietro Neroni},
doi = {10.1109/WAINA.2018.00164},
year = {2018},
date = {2018-05-01},
booktitle = {2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)},
pages = {663–667},
abstract = {The rapid growth of the aged population has stimulated research directed at designing interventions to support the associated social, economic and health challenges in an elderly population. Environmental interventions, like cognitive rehabilitation, stimulation and training can significantly improve cognitive functioning, so mitigating the cognitive decline. In this area, the adoption of state-of-the-art virtual reality technologies can provide a cost-effective, flexible and comprehensive solution for realizing complex cognitive training environments. With the aim of preserving mnestic and logical-praxic functions of patients with MCI or Alzheimer's disease at the early stages, in this paper we describe our ongoing work in designing a novel, fullyequipped virtual reality cognitive training system. The system is characterized by a high degree of realism and interactivity, to provide the patient with an adequate sense of presence within the virtual environment. Moreover, it is able to monitor the patient's biomedical signals and collect quantitative data on the training sessions, so allowing the therapist to analyze and tailor the training strategies to the patient.},
keywords = {Alzheimer's disease, Cognitive training, Dementia, Healthcare, Mild Cognitive Impairment, Monitoring, Training, Virtual Reality},
pubstate = {published},
tppubtype = {inproceedings}
}
The rapid growth of the aged population has stimulated research directed at designing interventions to support the associated social, economic and health challenges in an elderly population. Environmental interventions, like cognitive rehabilitation, stimulation and training can significantly improve cognitive functioning, so mitigating the cognitive decline. In this area, the adoption of state-of-the-art virtual reality technologies can provide a cost-effective, flexible and comprehensive solution for realizing complex cognitive training environments. With the aim of preserving mnestic and logical-praxic functions of patients with MCI or Alzheimer's disease at the early stages, in this paper we describe our ongoing work in designing a novel, fullyequipped virtual reality cognitive training system. The system is characterized by a high degree of realism and interactivity, to provide the patient with an adequate sense of presence within the virtual environment. Moreover, it is able to monitor the patient's biomedical signals and collect quantitative data on the training sessions, so allowing the therapist to analyze and tailor the training strategies to the patient.
2012
Coronato, Antonio; Gallo, Luigi
Towards Abnormal Behavior Detection of Cognitive Impaired People Proceedings Article
In: 2012 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops), pp. 865–870, IEEE, Lugano, Switzerland, 2012, ISBN: 978-1-4673-0906-6.
Abstract | Links | BibTeX | Tags: Healthcare, Mild Cognitive Impairment
@inproceedings{coronatoAbnormalBehaviorDetection2012,
title = {Towards Abnormal Behavior Detection of Cognitive Impaired People},
author = { Antonio Coronato and Luigi Gallo},
doi = {10.1109/PerComW.2012.6197632},
isbn = {978-1-4673-0906-6},
year = {2012},
date = {2012-03-01},
booktitle = {2012 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)},
pages = {865--870},
publisher = {IEEE},
address = {Lugano, Switzerland},
abstract = {The assessment of the general health status of people with cognitive impairment, and so the quality of drug therapy, requires reliable information about their daily lifestyle. Especially in the case of Alzheimer's Disease (AD) patients, the patients themselves or their primary caregivers may not be reliable in providing such information. This raises the demand for a new generation of intelligent, situation-aware environments able to collect, process and store information about patients' daily activities. In this paper, a new approach for the detection of abnormal behavior in AD patients is presented. Instead of relying on the identification of deviations from normal behaviors, the approach is based on the specification and runtime verification of the correctness properties of objects, which are visually recognized by means of non-intrusive RGB-D cameras. The Bigraphical reactive system is the formal method adopted to model the correctness properties; whereas, the runtime verification is performed by a specifically designed software component.},
keywords = {Healthcare, Mild Cognitive Impairment},
pubstate = {published},
tppubtype = {inproceedings}
}
The assessment of the general health status of people with cognitive impairment, and so the quality of drug therapy, requires reliable information about their daily lifestyle. Especially in the case of Alzheimer's Disease (AD) patients, the patients themselves or their primary caregivers may not be reliable in providing such information. This raises the demand for a new generation of intelligent, situation-aware environments able to collect, process and store information about patients' daily activities. In this paper, a new approach for the detection of abnormal behavior in AD patients is presented. Instead of relying on the identification of deviations from normal behaviors, the approach is based on the specification and runtime verification of the correctness properties of objects, which are visually recognized by means of non-intrusive RGB-D cameras. The Bigraphical reactive system is the formal method adopted to model the correctness properties; whereas, the runtime verification is performed by a specifically designed software component.
Coronato, Antonio; Gallo, Luigi
Towards Abnormal Behavior Detection of Cognitive Impaired People Proceedings Article
In: 2012 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops), pp. 865–870, IEEE, Lugano, Switzerland, 2012, ISBN: 978-1-4673-0906-6.
Abstract | Links | BibTeX | Tags: Healthcare, Mild Cognitive Impairment
@inproceedings{coronato_towards_2012,
title = {Towards Abnormal Behavior Detection of Cognitive Impaired People},
author = {Antonio Coronato and Luigi Gallo},
doi = {10.1109/PerComW.2012.6197632},
isbn = {978-1-4673-0906-6},
year = {2012},
date = {2012-03-01},
booktitle = {2012 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)},
pages = {865–870},
publisher = {IEEE},
address = {Lugano, Switzerland},
abstract = {The assessment of the general health status of people with cognitive impairment, and so the quality of drug therapy, requires reliable information about their daily lifestyle. Especially in the case of Alzheimer's Disease (AD) patients, the patients themselves or their primary caregivers may not be reliable in providing such information. This raises the demand for a new generation of intelligent, situation-aware environments able to collect, process and store information about patients' daily activities. In this paper, a new approach for the detection of abnormal behavior in AD patients is presented. Instead of relying on the identification of deviations from normal behaviors, the approach is based on the specification and runtime verification of the correctness properties of objects, which are visually recognized by means of non-intrusive RGB-D cameras. The Bigraphical reactive system is the formal method adopted to model the correctness properties; whereas, the runtime verification is performed by a specifically designed software component.},
keywords = {Healthcare, Mild Cognitive Impairment},
pubstate = {published},
tppubtype = {inproceedings}
}
The assessment of the general health status of people with cognitive impairment, and so the quality of drug therapy, requires reliable information about their daily lifestyle. Especially in the case of Alzheimer's Disease (AD) patients, the patients themselves or their primary caregivers may not be reliable in providing such information. This raises the demand for a new generation of intelligent, situation-aware environments able to collect, process and store information about patients' daily activities. In this paper, a new approach for the detection of abnormal behavior in AD patients is presented. Instead of relying on the identification of deviations from normal behaviors, the approach is based on the specification and runtime verification of the correctness properties of objects, which are visually recognized by means of non-intrusive RGB-D cameras. The Bigraphical reactive system is the formal method adopted to model the correctness properties; whereas, the runtime verification is performed by a specifically designed software component.