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  1. Article ; Online: The META-Learning Project: Design and Evaluation of an Experiential-Learning Intervention in the Metaverse for Soft Skills Improvement.

    Bartolotta, Sabrina / Gaggioli, Andrea / Riva, Giuseppe

    Cyberpsychology, behavior and social networking

    2023  Volume 26, Issue 3, Page(s) 221–224

    MeSH term(s) Humans ; Problem-Based Learning ; Learning
    Language English
    Publishing date 2023-02-23
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2545735-4
    ISSN 2152-2723 ; 2152-2715
    ISSN (online) 2152-2723
    ISSN 2152-2715
    DOI 10.1089/cyber.2023.29268.ceu
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Virtual vs. real: exploring perceptual, cognitive and affective dimensions in design product experiences.

    Pizzolante, Marta / Bartolotta, Sabrina / Sarcinella, Eleonora Diletta / Chirico, Alice / Gaggioli, Andrea

    BMC psychology

    2024  Volume 12, Issue 1, Page(s) 10

    Abstract: Background: Virtual Reality (VR) has already emerged as an effective instrument for simulating realistic interactions, across various domains. In the field of User Experience (UX), VR has been used to create prototypes of real-world products. Here, the ... ...

    Abstract Background: Virtual Reality (VR) has already emerged as an effective instrument for simulating realistic interactions, across various domains. In the field of User Experience (UX), VR has been used to create prototypes of real-world products. Here, the question is to what extent the users' experience of a virtual prototype can be equivalent to that of its real counterpart (the real product). This issue particularly concerns the perceptual, cognitive and affective dimensions of users' experiences.
    Methods: This exploratory study aims to address this issue by comparing the users' experience of a well-known product, i.e., the Graziella bicycle, presented either in Sumerian or Sansar VR platform, or in a physical setting. Participants' Emotional Engagement, Sense of Presence, Immersion, and Perceived Product Quality were evaluated after being exposed to the product in all conditions (i.e., Sumerian, Sansar and Physical).
    Results: The findings indicated significantly higher levels of Engagement and Positive Affect in the virtual experiences when compared to their real-world counterparts. Additionally, the sole notable distinction among the VR platforms was observed in terms of Realism.
    Conclusions: This study suggests the feasibility and potential of immersive VR environments as UX evaluation tools and underscores their effectiveness in replicating genuine real-world experiences.
    MeSH term(s) Humans ; Emotions ; Virtual Reality ; Cognition
    Language English
    Publishing date 2024-01-02
    Publishing country England
    Document type Journal Article
    ZDB-ID 2705921-2
    ISSN 2050-7283 ; 2050-7283
    ISSN (online) 2050-7283
    ISSN 2050-7283
    DOI 10.1186/s40359-023-01497-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Machine learning in biosignals processing for mental health: A narrative review.

    Sajno, Elena / Bartolotta, Sabrina / Tuena, Cosimo / Cipresso, Pietro / Pedroli, Elisa / Riva, Giuseppe

    Frontiers in psychology

    2023  Volume 13, Page(s) 1066317

    Abstract: Machine Learning (ML) offers unique and powerful tools for mental health practitioners to improve evidence-based psychological interventions and diagnoses. Indeed, by detecting and analyzing different biosignals, it is possible to differentiate between ... ...

    Abstract Machine Learning (ML) offers unique and powerful tools for mental health practitioners to improve evidence-based psychological interventions and diagnoses. Indeed, by detecting and analyzing different biosignals, it is possible to differentiate between typical and atypical functioning and to achieve a high level of personalization across all phases of mental health care. This narrative review is aimed at presenting a comprehensive overview of how ML algorithms can be used to infer the psychological states from biosignals. After that, key examples of how they can be used in mental health clinical activity and research are illustrated. A description of the biosignals typically used to infer cognitive and emotional correlates (e.g., EEG and ECG), will be provided, alongside their application in Diagnostic Precision Medicine, Affective Computing, and brain-computer Interfaces. The contents will then focus on challenges and research questions related to ML applied to mental health and biosignals analysis, pointing out the advantages and possible drawbacks connected to the widespread application of AI in the medical/mental health fields. The integration of mental health research and ML data science will facilitate the transition to personalized and effective medicine, and, to do so, it is important that researchers from psychological/ medical disciplines/health care professionals and data scientists all share a common background and vision of the current research.
    Language English
    Publishing date 2023-01-13
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2563826-9
    ISSN 1664-1078
    ISSN 1664-1078
    DOI 10.3389/fpsyg.2022.1066317
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: "Standing Up for Earth Rights": Awe-Inspiring Virtual Nature for Promoting Pro-Environmental Behaviors.

    Chirico, Alice / Pizzolante, Marta / Borghesi, Francesca / Bartolotta, Sabrina / Sarcinella, Eleonora D / Cipresso, Pietro / Gaggioli, Andrea

    Cyberpsychology, behavior and social networking

    2023  Volume 26, Issue 4, Page(s) 300–308

    Abstract: Virtual nature exposure has emerged as an effective method for promoting pro-environmental attitudes and behaviors, also due to the increased emotional connection with nature itself. However, the role played by complex emotions elicited by virtual nature, ...

    Abstract Virtual nature exposure has emerged as an effective method for promoting pro-environmental attitudes and behaviors, also due to the increased emotional connection with nature itself. However, the role played by complex emotions elicited by virtual nature, such as awe, needs to be fully elucidated. Awe is an emotion stemming from vast stimuli, including nature, and virtual reality (VR) emerged as an effective medium to elicit it. One hundred nineteen participants were exposed to either one of four VR environments: (a) an
    MeSH term(s) Humans ; Emotions ; Virtual Reality ; Friends
    Language English
    Publishing date 2023-04-04
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2545735-4
    ISSN 2152-2723 ; 2152-2715
    ISSN (online) 2152-2723
    ISSN 2152-2715
    DOI 10.1089/cyber.2022.0260
    Database MEDical Literature Analysis and Retrieval System OnLINE

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