Media Neuroscience on a Shoestring 2.0
Abstract: This study introduces ARTgram, an AR adaptation of a validated tangram matching task, aiming to delve into human collaboration within the metaverse. By employing the Muse EEG system, this study also pioneers low-cost hyperscanning to investigate similar neural responses expressed during the course of an AR cooperative task. Results demonstrate that tangram performance and partner trust increase as a function of neural similarities among interacting participants. These results signal a promise for low-cost hyperscanning in naturalistic AR communication. By validating various hyperscanning preprocessing routines and offering a high-control yet naturalistic AR task, this project sets the groundwork for theoretical and methodological advancements in understanding metaverse-mediated human interaction.
Authors
- Richard Huskey (ORCID: https://orcid.org/0000-0002-4559-2439)
- Jeffrey T. Hancock (ORCID: https://orcid.org/0000-0001-5367-2677)
- Jorge Peña (ORCID: https://orcid.org/0000-0002-0025-4436)
- Ralf Schmälzle (ORCID: https://orcid.org/0000-0002-0179-1364)
- Xuanjun Gong (ORCID: https://orcid.org/0000-0001-9642-8885)
- Rachael Kee (ORCID: https://orcid.org/0009-0005-8779-9197)
- William Weisman (ORCID: https://orcid.org/0000-0001-5327-9883)
- Ronggui KANG
- Michael W. Andrews (ORCID: https://orcid.org/0000-0003-4099-9296)
- Valerie Klein (ORCID: https://orcid.org/0009-0008-4696-5146)
- Sophia Sarieva (ORCID: https://orcid.org/0009-0008-4312-5424)
Institutions
- University of California, Davis (US)
- Michigan State University (US)
- Stanford University (US)
Publication Details
- Journal
- Journal of Media Psychology Theories Methods and Applications
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1027/1864-1105/a000462
- Citations
- 1
- Primary Topic
- Virtual Reality Applications and Impacts
- Type
- article
- Field-Weighted Citation Impact
- 1.94