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Purposeful XR: Affordances, Challenges, and Speculations for an Ethical Future

Affordances, Challenges, and Speculations for an Ethical Future
Authors: Elizabeth Childs; Samir Ghosh; Sebastian Cmentowski; Andrea Cuadra; Rabindra Ratan;

Purposeful XR: Affordances, Challenges, and Speculations for an Ethical Future

Abstract

Education, healthcare, poverty, and equity are just some of the social problems in which XR researchers leverage augmented reality, virtual reality, and mixed reality to create novel solutions. In this workshop proposal, we intend on gathering XR researchers who are interested in making a positive impact with their research, and to use this opportunity to discuss leveraging unique affordances of XR technology and common challenges. In our motivation, we refer to recent human computer interaction gatherings that discuss applications of XR to social benefit. Then, we present a background of research across XR technologies and diverse social problems to illustrate example affordances and challenges. To attend the workshop, attendees will submit a position paper on a particular XR affordances and how it can help address a social problem, and optionally submit a demo artifact as a sample for group discussion. The workshop will include a keynote, discussion based activities and demos, and conclude with a speculative exercise, where attendees will work together to describe XR technology in the context of an ethical future.

Country
Netherlands
Keywords

Ethics, Augmented Reality, SDG 3 - Good Health and Well-being, XR, Mixed Reality, Virtual Reality, SDG 3 – Goede gezondheid en welzijn, Affordances

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average