Examining the Factors of Place Sameness: A Classroom Re-creation Task in a Virtual Environment
May 08, 2023 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Saizo Aoyagi, Satoshi Fukumori, Kenji Hirose, Takayoshi Kitamura
arXiv ID
2305.04450
Category
cs.HC: Human-Computer Interaction
Citations
0
Venue
arXiv.org
Last Checked
5 months ago
Abstract
Virtual re-creations of real-world places are attractive and becoming more popular. Attractiveness of re-created place is commonly determined by the degree of visual similarity to the original places. Even if the re-creation has poor similarity to the original, there are cases in which people recognize and allow the re-creation to have similarity as the same entity. However, the mechanisms and factors behind this contradiction have not yet been studied. This is the first study focusing on the activity and meaningofpeoplewhentheyfeelsamenesstoare-createdplace. Thispaper investigates the concept of place sameness, which is defined as the degree of similarity between an original and a virtual re-creation that represents the original place. Further, the factors of place sameness are explored using a classroom re-creation task with virtual reality (VR) technology. The participants were instructed to recreate two classrooms within virtual environmentsusingvirtualfixtures. Asresults, thedisplaydevicesinRoom B, the student desks in Room A at the memory index, display devices in RoomA,andstudentdesksandothersinRoomBattheaveragedistancehad moderate or large correlations with the place sameness index. The results suggest that the reproducibility of the number of objects related to activities in a place, and the inaccuracy of the positions of objects are factors of place sameness. Our own interpretation of the uncanny valley effect of a place was also partially observed. The main contributions of this study are the proposal of the concept of place sameness as a new perspective for virtual re-creation research and the finding of promising factors for that.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Human-Computer Interaction
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Improving fairness in machine learning systems: What do industry practitioners need?
R.I.P.
π»
Ghosted
Identifying Stable Patterns over Time for Emotion Recognition from EEG
R.I.P.
π»
Ghosted
Questioning the AI: Informing Design Practices for Explainable AI User Experiences
R.I.P.
π»
Ghosted
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities
R.I.P.
π»
Ghosted
Educational data mining and learning analytics: An updated survey
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted