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Enhancing Sports Experiences Through Video-Based Interactions

dc.contributor.authorDiogo, João
dc.contributor.institutionDI - Departamento de Informática
dc.date.accessioned2026-03-09T10:37:01Z
dc.date.available2026-03-09T10:37:01Z
dc.date.issued2025-10-27
dc.descriptionPublisher Copyright: © 2025 Copyright held by the owner/author(s).
dc.description.abstractVideo is an essential part of sports interaction among sportspeople. Athletes benefit from self-visualization to correct movement patterns, coaches leverage video analysis to review past events and spectators engage with video to stay connected with their preferred sports. To meet these distinct user needs, it is crucial to establish a holistic approach that considers the intricacies of human interactions within sports contexts. This PhD research adopts a user-centered approach that iteratively creates, develops and evaluates intelligent video-based systems to support meaningful sports interaction. In line with previous work, this research emphasizes how these systems can facilitate visual analysis and knowledge sharing while addressing interaction challenges posed by deploying computer vision in real-world sports scenarios. The findings from this research contribute to the emerging field of SportsHCI, providing design implications for intelligent video-based systems that enhance learning, game analysis and overall interaction across sportspeople. Additionally, it recognizes the significance of machine learning methods in supporting interpersonal collaboration (e.g., athlete-coach), game understanding and personalization in video-based interactions. Situated at the intersection between HCI, computer vision and SportsHCI, this work aligns with core tenets of research in the field that contribute to enhancing user experiences across multimedia applications.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent5
dc.format.extent5949851
dc.identifier.doi10.1145/3746027.3756865
dc.identifier.isbn9798400720352
dc.identifier.otherPURE: 156289784
dc.identifier.otherPURE UUID: fc45d9dc-03a8-4bcb-9316-ad78816cf43a
dc.identifier.otherScopus: 105024064721
dc.identifier.otherWOS: 001671135600678
dc.identifier.urihttp://hdl.handle.net/10362/201095
dc.identifier.urlhttps://www.scopus.com/pages/publications/105024064721
dc.language.isoeng
dc.peerreviewedyes
dc.publisherACM - Association for Computing Machinery
dc.subjectcomputer vision
dc.subjectHCI
dc.subjectmachine learning
dc.subjectmultimedia
dc.subjectsports
dc.subjectSportsHCI
dc.subjectubiquitous systems
dc.subjectvideo
dc.subjectHuman-Computer Interaction
dc.subjectSoftware
dc.subjectArtificial Intelligence
dc.subjectComputer Graphics and Computer-Aided Design
dc.titleEnhancing Sports Experiences Through Video-Based Interactionsen
dc.typeconference object
degois.publication.firstPage13566
degois.publication.lastPage13570
degois.publication.titleMM 2025 - Proceedings of the 33rd ACM International Conference on Multimedia, Co-Located with MM 2025
degois.publication.title33rd ACM International Conference on Multimedia, MM 2025
dspace.entity.typePublication
rcaap.rightsopenAccess

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