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Social VR's focus on embodied and immersive experiences has led to intensified and more physicalized forms of harassment than other online contexts. Therefore, a growing body of HCI and CSCW work has explored multiple strategies and mechanisms to prevent and mitigate harassment risks in social VR. However, existing works have also highlighted a fundamental challenge in mitigating harassment in social VR - the apparent lack of consensus among social VR users on how to explicitly define harassment and what behaviors should be considered harassing in social VR. In this work, we aim to offer new knowledge on the uncertainty about how harassment is defined and perceived in social VR, particularly by learning from social VR users who have experiencedboth sides of harassment accusations. Based on interviews with 12 participants with diverse identities who have both been harassed by others and been accused of harassing others in social VR, we unpack how people justify and reflect on their behavior given their prior experiences of both being victims of harassment and being called a harasser. We thus offer unique insights into the complexity of harassment in social VR by highlighting cases of gray areas and critical ethical implications in such harassment accusations, which are understudied in the existing literature. We also propose two high-level design principles for new strategies and approaches to foster safe social VR spaces based on people's unique experiences of both sides of harassment accusations in social VR.
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Assessing crowd management strategies for the 2010 Love Parade disaster using computer simulations and virtual reality
Dense crowds in public spaces have often caused serious security issues at large events. In this paper, we study the 2010 Love Parade disaster, for which a large amount of data (e.g. research papers, professional reports and video footage) exist. We reproduce the Love Parade disaster in a three-dimensional computer simulation calibrated with data from the actual event and using the social force model for pedestrian behaviour. Moreover, we simulate several crowd management strategies and investigate their ability to prevent the disaster. We evaluate these strategies in virtual reality (VR) by measuring the response and arousal of participants while experiencing the simulated event from a festival attendee’s perspective. Overall, we find that opening an additional exit and removing the police cordons could have significantly reduced the number of casualties. We also find that this strategy affects the physiological responses of the participants in VR.
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- PAR ID:
- 10197972
- Date Published:
- Journal Name:
- Journal of The Royal Society Interface
- Volume:
- 17
- Issue:
- 167
- ISSN:
- 1742-5689
- Page Range / eLocation ID:
- 20200116
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
-
Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1098/rsif.2020.0116
