Memory Manipulations in Extended Reality


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.

Honorable Mention
Elise Bonnail
Institut Polytechnique de Paris, Paris, France
Wen-Jie Tseng
Institut Polytechnique de Paris, Paris, France
Mark McGill
University of Glasgow, Glasgow, Lanarkshire, United Kingdom
Eric Lecolinet
Institut Polytechnique de Paris, Paris, France
Samuel Huron
Télécom Paris, Institut Polytechnique de Paris, Palaiseau, ile de France, France
Jan Gugenheimer
TU-Darmstadt, Darmstadt, Germany


会議: CHI 2023

The ACM CHI Conference on Human Factors in Computing Systems (

セッション: XR Beyond the Living Room

Hall F
6 件の発表
2023-04-25 20:10:00
2023-04-25 21:35:00