Touch-screen task-element times for improving SAE recommended practice J2365 : a first proposal.

Green, Paul; Kang, Te-Ping; Lin, Brian · 2015 · ROSA P / Center for Advancing Transportation Leadership and Safety (ATLAS Center)

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Summary

This report proposes updated task-element times for the SAE Recommended Practice J2365, a standard used to predict driver distraction risks during the early design stages of in-vehicle interfaces. The motivation stems from the fact that J2365 was developed before the widespread adoption of touch screens, lacking data for gestures like dragging and sliding. Additionally, previous applications of J2365 to predict task times using Pettitt’s method revealed inconsistencies and inaccuracies when compared to empirical data. The study aims to fill these gaps by deriving new element times for touch-screen interactions and verifying existing estimates. The researchers reanalyzed data from a prior experiment (Lin et al., 2012) involving 24 drivers across three age groups (young, middle, and older). Participants performed 40 trials of various in-vehicle tasks, such as dialing phone numbers, finding songs, and adjusting climate controls, using a Flash simulation of a production touch screen in a static vehicle mockup. The study involved two main analyses: first, correcting errors in the original keystroke-level equations used to predict task times, and second, determining new time values for specific touch-screen elements. To compare predicted times with measured data, the authors developed linear regression equations to adjust for age differences, establishing multipliers to normalize data to a baseline age of 24 years. The findings identify specific time estimates for new touch-screen elements for young drivers (age 24), including cursor movements (2.4–2.7 s), dragging (3.5 s), function buttons (2.4–2.9 s), press-and-hold actions (1.6 s), letter and number entry (0.7–1.9 s), and slider operations (2.5–5.0 s). The analysis also confirmed that the age-correction factor in J2365 is reasonably accurate, with measured data suggesting a multiplier of 1.64 for older drivers (55–60 years), closely aligning with the standard’s 1.7 factor. Comparisons between corrected J2365 predictions and measured experimental data showed generally close agreement, though discrepancies arose in cases involving outliers or inconsistent subject performance. The significance of this work lies in providing a more comprehensive and accurate set of parameters for predicting driver distraction in modern touch-screen interfaces. By updating J2365 to include touch-specific gestures and refining age-adjustment methods, the report offers a tool for designers to assess the safety of in-vehicle tasks before hardware and software are fully developed. This helps identify tasks that may be unacceptably distracting, thereby supporting the development of safer driver interfaces.

Key finding

The study identified specific touch-screen task elements and derived initial time estimates for young drivers, including cursor movements, drag actions, and function button presses, along with age-correction factors to adjust these times for older drivers.

Methodology

lab_experiment

Sample size: 24

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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. Discovered via bulk_ingest_rosap on 2026-05-23 (6 acquisition events logged).

StageOutcomeToolModelPromptAttemptsCompleted
discover success rosap 2 2026-05-23
archive success 1 2026-05-23
extract success cached 2 2026-06-10
clean success 1 2026-06-01
chunk success 1 2026-06-01
embed success 1 2026-06-02
enrich success 1 2026-05-23
promote success 1 2026-05-23
summarize success llm qwen3.6-27b-prismaquant summ-v5 3 2026-06-10
tag success vector_similarity 19 2026-06-11
verify success 2 2026-06-10

Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.

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