VUI Influencers: How the Media Portrays Voice User Interfaces for Older Adults
Bibliographic record
Abstract
Voice User Interfaces (VUIs) such as smart speakers hold promise for older adults (OAs) in terms of usability and convenience. However, their adoption and the extent of their benefits to OAs may be influenced by mass media, as this is a primary source of technology education for OAs. Thus, we aim to obtain a better understanding of how VUIs’ value and utility for OAs are portrayed in the media. We conducted a systematic review and thematic analysis of articles published in ten popular digital news outlets that focus on VUIs and older adults. The analysis reveals several design and engineering factors that are portrayed in media as being relevant or encouraging to older adults’ adoption of VUIs. Given the media's influence of the consumer adoption of new technologies, this analysis brings to light several sociotechnical aspects that are dominant threads within the media discourse related to VUIs. Through this, we suggest areas of focus for the research and design of VUIs that account for these influencing factors.
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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 | 0.013 | 0.065 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".