Perceived Convenience, Compatibility, and Media Richness Contribute Significantly to Dedicated E-book Reader Acceptance
Bibliographic record
Abstract
Objective – Investigates the effects of perceived convenience, compatibility and media richness on users’ attitudes toward dedicated e-book readers.
 
 Design – Convenience sample survey.
 
 Setting – Taiwanese university.
 
 Subjects – A total of 288 students at the senior secondary (5%), four-year university (78%), and graduate student (17%) levels. Male-female participation was approximately equal.
 
 Methods – Students completed a 23-item survey on dedicated e-book readers, with 
 questions on perceived usefulness, perceived ease of use, intention to use, convenience, compatibility, and media richness. Data was analyzed using the partial least squares statistical technique.
 
 Main Results – Users state an increased intention to use dedicated e-book readers if they perceive the technology to be compatible with what they desire in a “book,” if the device delivers rich media content, and if the device is convenient. Compatibility was found to significantly affect perceived ease of use, and was found to be the strongest influence on intent to use a dedicated e-book reader. Compatibility, media richness and convenience also increased the perceived usefulness of dedicated e-book readers.
 
 Conclusion – Users will prefer dedicated e-book readers that are compatible with their preferences in a “book,” that deliver media-rich content, and that they find convenient. The study has implications for the design and development of e-book reading devices.
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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 | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.179 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".