TY - GEN
T1 - An Effective Design on Locomotion and View Management for an Immersive Analytics Platform in Everyday Use
AU - Sun, Bo
AU - Weidner, Benjamin Daniel
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - Immersive Analytics brings 3D data visualization to virtual reality, immersing users directly into the data. The technology focuses on bringing humans and computers closer together to develop human intuition via human computer interaction. In order to effectively utilize this technique to benefit data analytics, principles must be established to see what kind of 3D user interfaces are the best fit for an everyday immersive analytics platform. In an immersive environment embedded with natural hand interaction, we found that users who perform in a static state, where no physical or virtual navigation of the environment is present, are more beneficial to the interpretation of the data. Prior VR experience and spatial ability also affect the completion time of given task, while reported human factors in gender and age do not seem to play a major role.
AB - Immersive Analytics brings 3D data visualization to virtual reality, immersing users directly into the data. The technology focuses on bringing humans and computers closer together to develop human intuition via human computer interaction. In order to effectively utilize this technique to benefit data analytics, principles must be established to see what kind of 3D user interfaces are the best fit for an everyday immersive analytics platform. In an immersive environment embedded with natural hand interaction, we found that users who perform in a static state, where no physical or virtual navigation of the environment is present, are more beneficial to the interpretation of the data. Prior VR experience and spatial ability also affect the completion time of given task, while reported human factors in gender and age do not seem to play a major role.
UR - http://www.scopus.com/inward/record.url?scp=85196272685&partnerID=8YFLogxK
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U2 - 10.1007/978-3-031-61044-8_21
DO - 10.1007/978-3-031-61044-8_21
M3 - Conference contribution
AN - SCOPUS:85196272685
SN - 9783031610431
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 298
EP - 312
BT - Virtual, Augmented and Mixed Reality - 16th International Conference, VAMR 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings
A2 - Chen, Jessie Y. C.
A2 - Fragomeni, Gino
PB - Springer Science and Business Media Deutschland GmbH
T2 - 16th International Conference on Virtual, Augmented and Mixed Reality, VAMR 2024, held as part of the 26th HCI International Conference, HCII 2024
Y2 - 29 June 2024 through 4 July 2024
ER -