Bonding Over Distances: Building Social Presence Using Mixed Reality for Transnational Families
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Sparked by the frustrations experienced in transnational family communication and inspired by an interest in exploring the potentials of a mixed reality (MR) future landscape, this study investigates the primary research question: how can we use mixed reality to build social presence for transnational family communication? \nThis study reviews literature and contextual works from relevant fields, including presence and social presence, mixed reality, transnational relationships (inter-family and human-space relationships), and technology for social presence for transnational families. Then, the researcher situates this study at the intersection of the before mentioned categories. \nUtilizing the Research through Design methodology and paired user testing methods, this study describes 4 iterative MR prototypes for building social presence for transnational families, highlighting each prototype’s relation to a secondary research question, exploration goals, features, performance evaluation, and takeaways for the next iteration. Then, it documents and analyzes data collected from in-depth user testing sessions with 6 transnational family pairs totaling 12 participants, each with one member living locally (in Toronto), and the other overseas. The quantitative and qualitative data were collected from different components of the user testing, including observation notes from paired-up live connection sessions for collaborative tasks, interviews, and online surveys. \nThis study contributes to theory at the overlapping fields of social presence, mixed reality research, transnational family relationship, and human-space relationship. The mixed reality prototypes, design frameworks, and evaluation criteria for designing mixed reality spaces to build social presence for transnational families also provide significance to design practice.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.005 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it