Papers for

xr interface designers

Papers whose findings have a practical use for this group, as judged from the abstract. Open a paper to read what it means in practice.

Extended reality better described with two dimensions instead of one

Beyond the 1D Reality-Virtuality Continuum: A 2D Framework for Seven Extended Reality Paradigms

Abstract: The Reality-Virtuality (RV) continuum helps in describing the relationship between physical and computer-generated environments. However, the increasing number of Extended Reality (XR) paradigms introduces new technologies. Their characteristics cannot be completely represented by a single real-virtual dimension. It can be noted that XR systems not only vary in their proportion of real and virtual content but also adds, suppresses, or transforms information available to the user. This work proposes a framework for characterizing seven XR realities, namely Virtual Reality (VR), Augmented Reality (AR), Mixed Reality (MR), Augmented Virtuality (AV), Phenomenal Reality (PR), Annexing Reality (AnR), and Diminished Reality (DR). It uses a two-dimensional extension of the conventional 1D RV continuum. The first dimension helps in identification of the position of an XR technology between real and virtual environments. The second dimension captures information addition and subtraction. The proposed approach gives a qualitative basis for comparing existing and emerging XR paradigms within a unified XR framework.

Tue 27 OctHuman-Computer Interaction
The gist
The traditional way to describe extended reality (XR) is as a line between real and virtual, but this doesn't capture all XR technologies well. The authors propose a new framework with two dimensions: one for how real or virtual the environment is, and another for how information is added or removed. This two-dimensional model helps categorize seven different XR types, including common ones like virtual reality and augmented reality, and newer ones that change or remove information. This framework gives a clearer way to compare and understand diverse XR experiences.
Open → 2610.36674v1

AdapTest helps design responsive XR interfaces for real environments

AdapTest: Supporting Designers in Authoring and Evaluating Environmentally Responsive User Interfaces for Extended Reality

Abstract: Extended Reality (XR) headsets increasingly host familiar 2D user interfaces as windows floating in physical environments. However, their usability depends on environmental conditions that designers cannot fully control. Current design workflows often separate how a variant is designed from how it actually looks in the target environment. We present AdapTest, an in-situ authoring and testing tool that lets designers select interface elements, define when and how they change, compare the resulting variations, and test their activation without coding. Based on prior research and a formative study with 12 interface designers, the system targets three key environmental variables: distance, lighting, and occlusion. We evaluated AdapTest against a desktop design and in-headset preview workflow in a within-subjects study with 12 designers. Compared with the baseline, designers accounted for a wider range of environmental factors, addressed more overlapping conditions, and repeatedly tested and revised their designs in place; there were no significant differences in workload or usability despite longer sessions. Our work contributes an integrated, designer-centered approach to adapting, comparing, and validating environmentally responsive XR user interfaces.

Thu 15 OctHuman-Computer Interaction
The gist
Designing user interfaces for XR (extended reality) headsets is tricky because these interfaces appear in the real world where lighting, distance, and objects around can change how they look. The authors created AdapTest, a tool that lets designers easily create and test different interface versions that adjust to these changing environmental conditions without needing to code. This tool helps designers see and compare their designs inside the actual XR environment, improving how interfaces respond to real-world factors. A study found that using AdapTest led designers to consider more environmental factors and test their designs more thoroughly.
Open → 2610.21386v1