ICAT-EGVE2025 - Posters and Demos

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https://diglib.eg.org/handle/10.2312/3607268

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Browsing ICAT-EGVE2025 - Posters and Demos by Subject "Human centered computing → Mixed / augmented reality"

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    Happiness Finder: Exploring User Experience in AI-Assisted Four-Leaf Clover Searches
    (The Eurographics Association, 2025) Hamada, Takeo; Yokokubo, Anna; Ishizuka, Tatsuya; Mori, Hiroaki; Koshizuka, Noboru; Garro, Valeria; Young, Gareth; Elwardy, Majed
    The rare four-leaf clover (FLC) is regarded worldwide as a symbol of good luck. However, it is not easy to find one among the common three-leaf clovers. This study explores how people feel when technological intervention is introduced to assist in identifying FLC. We investigated user experiences during outdoor searches supported by an object detection algorithm. Our results showed no significant difference in the impact of technological intervention on users' positive emotions; however, the findings suggest that such intervention may play a supportive role.
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    On-Device 3D Point Cloud Segmentation for Mixed Reality Applications
    (The Eurographics Association, 2025) Czajkowski, Andrzej; Kowal, Marek; Greszczyński, Rafael; Garro, Valeria; Young, Gareth; Elwardy, Majed
    This paper deals with preliminary research on segmenting 3D space captured by the depth sensor integrated into the HTC Vive XR Elite headset. Obtained cloud of 3D points was employed as the basis for a segmentation algorithm that identifies individual objects by detecting planes and grouping them into bounding boxes. Since spatial data is not available in the socalled PCVR mode, all computations had to be performed directly on the head-mounted display (HMD) headset, which is heavily constrained in terms of performance. The proposed approach provides a practical foundation for replacing detected objects with virtual counterparts (overlaying), while meeting computational and energy efficiency requirements for prolonged headset operation.
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    VV-Studio: Volumetric-Video News and Storytelling on Mobile XR
    (The Eurographics Association, 2025) Matin, Farzin; O'Fearghail, Colm; Dingliana, John; Garro, Valeria; Young, Gareth; Elwardy, Majed
    Volumetric video (VV) supports spatially immersive, human-centered storytelling by capturing 3D performances that convey gaze, posture, and subtle gestures. Mobile deployment remains constrained by large assets, limited bandwidth, and fragmented toolchains. VV-Studio is introduced as a lightweight XR demonstrator for commodity Android phones that enables browsing of VV assets, AR anchoring, and touch-based playback control. A complementary 60-120 s micro-podcast is generated via a Python backend that aggregates real-time weather and news, synthesizes speech (TTS), and routes audio to a neutral ''broadcaster'' avatar. The contribution is a pragmatic, reproducible mobile pipeline that couples VV placement with automated audio briefings, establishing a baseline for immersive journalism and education. The paper details architecture and methods, situates the work within the literature on VV capture/streaming and AR interaction.