Picturing Your Life: The Role of Imagery Perspective in Personal Photos
Bibliographic record
Abstract
When photographing moments in their lives, people can use a first-person (capturing the scene as they saw it) or third-person (capturing the scene with themselves in it) perspective. Past research suggests third-person (vs. first-person) images better depict the meaning (vs. physical experience) of events. The current work suggests the use and impact of perspective in personal photography follow this representational function. Across six studies ( N = 2,113), we find that the goal to capture meaning (vs. physical experience) causes people to be more likely to use third-person (vs. first-person) photos, that people are reminded more of the meaning (vs. physical experience) when viewing their own actual third-person (vs. first-person) photos, and that people like their photos better when the perspective matched (vs. mismatched) their goal for taking the photo. Discussion focuses on theoretical and practical implications of extending the representational function of imagery perspective to everyday uses of photographic imagery.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".