Online Social Shopping: The Functions and Symbols of Design Artifacts
Bibliographic record
Abstract
We report the results from a study investigating online shoppers' perceptions and evaluations of online social shopping design artifacts. To do so, we use the framework developed by Markus and Silver (2008) for studying information technology artifacts and their effects. Hence, we examine the functional affordances, i.e., the potential uses, and the symbolic expressions, i.e., the underlying message guiding use, of a set of four artifacts that shopper-generated content :1) lists of (favorite) products from shoppers, 2) lists of online shopping friends, 3) product reviews, and 4) shoppers' profiles. The results from a survey of online shopper are preliminary but promising. They show that recreational and non-recreational shoppers perceive different potential uses and underlying messages in the artifacts, and that the nature of these perceptions (utilitarian vs. hedonic) are related to shoppers' assessment of the artifacts' utilitarian and hedonic value.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".