Smartwatches vs. Smartphones
DOI: 10.4018/ijmhci.2017040103
archive: archived pipeline: cataloged verified
Get this paper ↗ (DOI — opens at the source; we link to it, we don't host it)
Summary
This study investigates whether the unique features of smartwatches mitigate or exacerbate driver distraction compared to smartphones, specifically regarding notification engagement. While previous research examined voice calling on wearables, this work addresses the lack of data on visual-manual interactions with notifications, a primary marketed feature. The authors hypothesize that the proximity and vibrotactile feedback of smartwatches may increase involuntary distraction and that drivers may misperceive the associated risks. The research comprised two driving simulator experiments. Experiment I involved six participants who read aloud brief text notifications on a Pebble smartwatch or an LG Nexus 5 smartphone. Experiment II included twelve participants (five current smartwatch users) who manually selected answers to arithmetic questions presented as notifications. Both studies measured visual glances, task engagement times, and self-reported risk perception. Experiment II additionally assessed driving performance, including lane position variability and brake reaction times during lead vehicle braking events, as well as participants’ knowledge of distracted driving legislation. Experiment I found that participants engaged with smartwatch notifications faster than smartphone notifications but took longer to complete the reading task. Smartwatch use resulted in longer average glance durations and a significantly higher rate of glances exceeding 1.6 seconds compared to smartphones. Experiment II revealed that smartwatch interactions required longer reply times and longer overall glance durations than smartphones. Crucially, smartwatch use led to longer brake reaction times to lead vehicle braking events. Both devices increased lane position variability compared to a no-device baseline. Regarding risk perception, participants rated both devices as riskier than the baseline but perceived smartwatch use as warranting equal or lesser traffic penalties than smartphone use. The findings indicate that smartwatches pose significant road safety risks, potentially exacerbating distraction through prolonged visual engagement and delayed braking responses. The study highlights a disconnect between actual performance and driver perception; despite evidence of impaired driving performance, users view smartwatch use as less dangerous or deserving of lighter penalties than smartphone use. This suggests that the marketed convenience and physical design of smartwatches may lead to uncalibrated risk assessments, necessitating clearer legislative guidelines and safety interventions.
Provenance
The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed.
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | Crossref | — | — | 1 | 2026-06-08 |
| archive | success | unpaywall | — | — | 2 | 2026-06-09 |
| extract | success | pdftotext | — | — | 2 | 2026-06-09 |
| clean | success | clean | — | — | 1 | 2026-06-09 |
| chunk | success | chunk | — | — | 1 | 2026-06-09 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-09 |
| promote | success | — | — | — | 1 | 2026-06-08 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 1 | 2026-06-09 |
| tag | success | vector_similarity | — | — | 8 | 2026-06-11 |
| verify | success | — | — | — | 1 | 2026-06-09 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-09; verification: verified.
Topics
Ranked by relevance to this paper. Hover a topic for its definition.
Information type
What kind of knowledge this paper contributes, grouped by family — independent of topic (what it is about) and method (how it was studied).
- Empirical Findings: observational prevalence, behavioral performance data