Memory Manipulations in Extended Reality
April 05, 2023 Β· Declared Dead Β· π International Conference on Human Factors in Computing Systems
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Authors
Elise Bonnail, Eric Lecolinet, Wen-Jie Tseng, Samuel Huron, Mark Mcgill, Jan Gugenheimer
arXiv ID
2304.02394
Category
cs.HC: Human-Computer Interaction
Citations
41
Venue
International Conference on Human Factors in Computing Systems
Last Checked
3 months ago
Abstract
Human memory has notable limitations (e.g., forgetting) which have necessitated a variety of memory aids (e.g., calendars). As we grow closer to mass adoption of everyday Extended Reality (XR), which is frequently leveraging perceptual limitations (e.g., redirected walking), it becomes pertinent to consider how XR could leverage memory limitations (forgetting, distorting, persistence) to induce memory manipulations. As memories highly impact our self-perception, social interactions, and behaviors, there is a pressing need to understand XR Memory Manipulations (XRMMs). We ran three speculative design workshops (n=12), with XR and memory researchers creating 48 XRMM scenarios. Through thematic analysis, we define XRMMs, present a framework of their core components and reveal three classes (at encoding, pre-retrieval, at retrieval). Each class differs in terms of technology (AR, VR) and impact on memory (influencing quality of memories, inducing forgetting, distorting memories). We raise ethical concerns and discuss opportunities of perceptual and memory manipulations in XR.
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