Approaches to Identifying Emotions and Affections During the Museum Learning Experience in the Context of the Future Internet
The Future Internet aims to revolutionize digital interaction by integrating advanced technologies like AI and IoT, enabling a dynamic and resilient network. It envisions emotionally intelligent systems that can interpret and respond to human feelings, creating immersive, empathy-driven learning exp...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Future Internet |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-5903/16/11/417 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850227287463559168 |
|---|---|
| author | Iana Fominska Stefano Di Tore Michele Nappi Gerardo Iovane Maurizio Sibilio Angela Gelo |
| author_facet | Iana Fominska Stefano Di Tore Michele Nappi Gerardo Iovane Maurizio Sibilio Angela Gelo |
| author_sort | Iana Fominska |
| collection | DOAJ |
| description | The Future Internet aims to revolutionize digital interaction by integrating advanced technologies like AI and IoT, enabling a dynamic and resilient network. It envisions emotionally intelligent systems that can interpret and respond to human feelings, creating immersive, empathy-driven learning experiences. This evolution aspires to form a responsive digital ecosystem that seamlessly connects technology and human emotion. This paper presents a computational model aimed at enhancing the emotional aspect of learning experiences within museum environments. The model is designed to represent and manage affective and emotional feedback, with a focus on how emotions can significantly impact the learning process in a museum context. The proposed model seeks to identify and quantify emotions during a visitor’s engagement with museum exhibits. To achieve this goal, we primarily explored the following: (i) methods and techniques for assessing and recognizing emotional responses in museum visitors, (ii) feedback management strategies based on the detection of visitors’ emotional states. Then, the methodology was tested on 1000 cases via specific questionnaire forms, along with the presentation of images and short videos, and the results of data analysis are reported. The findings contribute toward establishing a comprehensive methodology for the identification and quantification of the emotional state of museum visitors. |
| format | Article |
| id | doaj-art-9960b20c6702408e8fa54510f4ddb245 |
| institution | OA Journals |
| issn | 1999-5903 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Future Internet |
| spelling | doaj-art-9960b20c6702408e8fa54510f4ddb2452025-08-20T02:04:52ZengMDPI AGFuture Internet1999-59032024-11-01161141710.3390/fi16110417Approaches to Identifying Emotions and Affections During the Museum Learning Experience in the Context of the Future InternetIana Fominska0Stefano Di Tore1Michele Nappi2Gerardo Iovane3Maurizio Sibilio4Angela Gelo5Department of Education, Cultural Heritage and Tourism Sciences, University of Macerata, Via Giovanni Mario Crescimbeni, 30, 62100 Macerata, ItalyDepartment of Human, Philosophical and Educational Sciences, University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano, ItalyDepartment of Computer Science, University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano, ItalyDepartment of Computer Science, University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano, ItalyDepartment of Human, Philosophical and Educational Sciences, University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano, ItalyDepartment of Human, Philosophical and Educational Sciences, University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano, ItalyThe Future Internet aims to revolutionize digital interaction by integrating advanced technologies like AI and IoT, enabling a dynamic and resilient network. It envisions emotionally intelligent systems that can interpret and respond to human feelings, creating immersive, empathy-driven learning experiences. This evolution aspires to form a responsive digital ecosystem that seamlessly connects technology and human emotion. This paper presents a computational model aimed at enhancing the emotional aspect of learning experiences within museum environments. The model is designed to represent and manage affective and emotional feedback, with a focus on how emotions can significantly impact the learning process in a museum context. The proposed model seeks to identify and quantify emotions during a visitor’s engagement with museum exhibits. To achieve this goal, we primarily explored the following: (i) methods and techniques for assessing and recognizing emotional responses in museum visitors, (ii) feedback management strategies based on the detection of visitors’ emotional states. Then, the methodology was tested on 1000 cases via specific questionnaire forms, along with the presentation of images and short videos, and the results of data analysis are reported. The findings contribute toward establishing a comprehensive methodology for the identification and quantification of the emotional state of museum visitors.https://www.mdpi.com/1999-5903/16/11/417Future Internetimage and short videosocial mediamuseum experienceemotional computingvisitor engagement |
| spellingShingle | Iana Fominska Stefano Di Tore Michele Nappi Gerardo Iovane Maurizio Sibilio Angela Gelo Approaches to Identifying Emotions and Affections During the Museum Learning Experience in the Context of the Future Internet Future Internet Future Internet image and short video social media museum experience emotional computing visitor engagement |
| title | Approaches to Identifying Emotions and Affections During the Museum Learning Experience in the Context of the Future Internet |
| title_full | Approaches to Identifying Emotions and Affections During the Museum Learning Experience in the Context of the Future Internet |
| title_fullStr | Approaches to Identifying Emotions and Affections During the Museum Learning Experience in the Context of the Future Internet |
| title_full_unstemmed | Approaches to Identifying Emotions and Affections During the Museum Learning Experience in the Context of the Future Internet |
| title_short | Approaches to Identifying Emotions and Affections During the Museum Learning Experience in the Context of the Future Internet |
| title_sort | approaches to identifying emotions and affections during the museum learning experience in the context of the future internet |
| topic | Future Internet image and short video social media museum experience emotional computing visitor engagement |
| url | https://www.mdpi.com/1999-5903/16/11/417 |
| work_keys_str_mv | AT ianafominska approachestoidentifyingemotionsandaffectionsduringthemuseumlearningexperienceinthecontextofthefutureinternet AT stefanoditore approachestoidentifyingemotionsandaffectionsduringthemuseumlearningexperienceinthecontextofthefutureinternet AT michelenappi approachestoidentifyingemotionsandaffectionsduringthemuseumlearningexperienceinthecontextofthefutureinternet AT gerardoiovane approachestoidentifyingemotionsandaffectionsduringthemuseumlearningexperienceinthecontextofthefutureinternet AT mauriziosibilio approachestoidentifyingemotionsandaffectionsduringthemuseumlearningexperienceinthecontextofthefutureinternet AT angelagelo approachestoidentifyingemotionsandaffectionsduringthemuseumlearningexperienceinthecontextofthefutureinternet |