The effects of spatial configuration on relative translation gain thresholds in redirected walking

Kim, Dooyoung; Kim, Seonji; Shin, Jae‐Eun; Yoon, Boram; Kim, Jin-Wook; Lee, Jeongmi; Woo, Woontack

doi:10.1007/s10055-022-00734-3

Cited by 9 publications

(3 citation statements)

References 51 publications

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“…Steinicke et al [3], [4] measured the detection thresholds of the redirection gains because if the redirection gains are applied higher than the user's detection threshold, cyber-sickness with degraded immersion may occur. Since then, detection thresholds have been studied for various situations, and redirection gains within the range of these detection thresholds are applied in subsequent RDW studies [15], [16], [17], [18], [19], [20]. The overt technique generates UI on the user's screen or plays sound effects to redirect the user.…”

Section: Related Workmentioning

confidence: 99%

MARR : A Multi-Agent Reinforcement Resetter for Redirected Walking

Lee,

Jeon,

Cho

et al. 2024

IEEE Trans. Visual. Comput. Graphics

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The reset technique of Redirected Walking (RDW) forcibly reorients the user's direction overtly to avoid collisions with boundaries, obstacles, or other users in the physical space. However, excessive resetting can decrease the user's sense of immersion and presence. Several RDW studies have been conducted to address this issue. Among them, much research has been done on reset techniques that reduce the number of resets by devising reset direction rules or optimizing them for a given environment. However, existing optimization studies on reset techniques have mainly focused on a single-user environment. In a multi-user environment, the dynamic movement of other users and static obstacles in the physical space increase the possibility of resetting. In this study, we propose Multi-Agent Reinforcement Resetter (MARR), which resets the user taking into account both physical obstacles and multi-user movement to minimize the number of resets. MARR is trained using multiagent reinforcement learning to determine the optimal reset direction in different environments. This approach allows MARR to effectively account for different environmental contexts, including arbitrary physical obstacles and the dynamic movements of other users in the same physical space. We compared MARR to other reset technologies through simulation tests and user studies, and found that MARR outperformed the existing methods. MARR improved performance by learning the optimal reset direction for each subtle technique used in training. MARR has the potential to be applied to new subtle techniques proposed in the future. Overall, our study confirmed that MARR is an effective reset technique in multi-user environments.

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Section: Related Workmentioning

confidence: 99%

MARR : A Multi-Agent Reinforcement Resetter for Redirected Walking

Lee,

Jeon,

Cho

et al. 2024

IEEE Trans. Visual. Comput. Graphics

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“…Building services that prioritize water efficiency and distribution also contribute to IEQ by ensuring a reliable supply of clean water and efficient wastewater management (Ndou et al, 2021). Room space configuration encompasses factors such as room size, layout and occupancy density, all of which significantly affect IEQ (Kim et al, 2023). The spatial arrangement of furniture, workstations and equipment influences acoustic comfort, visual comfort and overall occupant well-being.…”

Section: Review Of Building Designs In Relation To Indoor Environment...mentioning

confidence: 99%

“…, 2021). Room space configuration encompasses factors such as room size, layout and occupancy density, all of which significantly affect IEQ (Kim et al. , 2023).…”

Section: Literature Reviewmentioning

confidence: 99%

Effective measures to bolster the deployment of indoor environmental quality (IEQ) principles in building design: a focus on quantity surveying (QS) firms in Nigeria

Oke,

Aliu,

Agbaje

et al. 2023

MEQ

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PurposeResearch on measures to strengthen the implementation of indoor environmental quality (IEQ) principles has been scarce in developing countries such as Nigeria. Hence, this study sought to identify and assess the crucial measures for encouraging the adoption of IEQ principles in the Nigerian construction industry, specifically from the viewpoint of quantity surveyors.Design/methodology/approachTo accomplish this objective, a quantitative research methodology was employed, utilizing a well-structured questionnaire distributed to quantity surveying (QS) firms in Nigeria. The collected data were examined using a range of statistical techniques such as frequencies, percentages, mean item scores (MISs), the Kruskal–Wallis test and exploratory factor analysis.FindingsThe top five ranked measures were as follows: offer financial incentives and tax breaks, develop educational materials and resources, establish clear and accessible reporting mechanisms, develop awards and recognition programs and provide advocacy and awareness campaigns. Factor analysis led to the categorization of the identified measures into four primary clusters: education and training, policy and regulation, incentivization and recognition and collaboration and networking. Consequently, these clusters were renamed the EPIC (Education and training, Policy and regulation, Incentivization and recognition and Collaboration and networking) framework, with each first letter representing a significant measure for fostering the adoption of IEQ principles.Practical implicationsConsequently, this study offers a robust foundation for understanding and implementing measures to enhance the adoption of IEQ principles within the Nigerian construction industry, ultimately benefiting stakeholders and improving the quality of built environments.Originality/valueThe EPIC framework designed in this study offers valuable insights for policymakers, construction industry professionals and other stakeholders interested in promoting IEQ principles, which can potentially lead to healthier, more comfortable and more sustainable built environments in Nigeria and beyond.

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Walking Telescope: Exploring the Zooming Effect in Expanding Detection Threshold Range for Translation Gain

Luo,

Tang,

et al. 2024

Lecture Notes in Computer Science

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The effects of spatial configuration on relative translation gain thresholds in redirected walking

Cited by 9 publications

References 51 publications

MARR : A Multi-Agent Reinforcement Resetter for Redirected Walking

MARR : A Multi-Agent Reinforcement Resetter for Redirected Walking

Effective measures to bolster the deployment of indoor environmental quality (IEQ) principles in building design: a focus on quantity surveying (QS) firms in Nigeria

Walking Telescope: Exploring the Zooming Effect in Expanding Detection Threshold Range for Translation Gain

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