MineXR: Mining Personalized Extended Reality Interfaces

Extended Reality (XR) interfaces offer engaging user experiences, but their effective design requires a nuanced understanding of user behavior and preferences. This knowledge is challenging to obtain without the widespread adoption of XR devices. We introduce  MineXR, a design mining workflow and data analysis platform for collecting and analyzing personalized XR user interaction and experience data.  MineXR enables elicitation of personalized interfaces from participants of a data collection: for any particular context, participants create interface elements using application screenshots from their own smartphone, place them in the environment, and simultaneously preview the resulting XR layout on a headset. Using  MineXR, we contribute a dataset of personalized XR interfaces collected from 31 participants, consisting of 695 XR widgets created from 178 unique applications. We provide insights for XR widget functionalities, categories, clusters, UI element types, and placement. Our open-source tools and data support researchers and designers in developing future XR interfaces.

Source code and dataset: https://github.com/Augmented-Perception-Lab/MineXR

@inproceedings{10.1145/3613904.3642394, author = {Cho, Hyunsung and Yan, Yukang and Todi, Kashyap and Parent, Mark and Smith, Missie and Jonker, Tanya R. and Benko, Hrvoje and Lindlbauer, David}, title = {MineXR: Mining Personalized Extended Reality Interfaces}, year = {2024}, isbn = {9798400703300}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, url = {https://doi.org/10.1145/3613904.3642394}, doi = {10.1145/3613904.3642394}, abstract = {}, booktitle = {Proceedings of the CHI Conference on Human Factors in Computing Systems}, articleno = {609}, numpages = {17}, keywords = {Datasets, Extended Reality, Personalized UI}, location = {, Honolulu, HI, USA, }, series = {CHI '24} }