Exploring the Effects of Meaningful Tactile Display on Perception and Preference in Automated Vehicles

Martinez, Kimberly D; Huang, Gaojian · 2022 · ROSA P / San Jose State University. College of Business. Mineta Transportation Institute

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Summary

This study addresses the challenge of safe driver takeover in semi-autonomous vehicles (SAE Levels 2–3), where system limitations may require sudden manual control. The research is motivated by the risk of sensory overload in complex driving environments, where visual and auditory channels are often saturated. Based on Multiple Resource Theory, the authors investigate whether tactile displays can serve as an effective, independent sensory modality to convey meaningful status, direction, and position information without increasing cognitive workload. The study aims to synthesize existing literature on tactile takeover requests and empirically test the effects of specific meaningful tactile signals on driver perception and performance. The methodology combines a literature review and a human-subject experiment. The review analyzed 18 articles involving controlled experiments on tactile displays for automated vehicle takeover, categorizing signals as either informative (environmental status) or instructional (maneuver commands). The experimental component involved 16 participants using a medium-fidelity driving simulator equipped with 20 piezo-buzzers located on the seat back, seat pan, and seat belt. The study employed a 6×2 factorial design, testing six signal types (navigation, speed, surrounding vehicle location/status, over speed limit, headway reduction, and pedestrian status) across two urgency patterns (low and high). Participants responded to 120 randomly presented tactile signals over four sessions. Dependent variables included reaction time (RT), interpretation accuracy, and subjective ratings for confidence and intuitiveness. The literature review indicated that tactile displays generally improve takeover performance by reducing RTs, increasing situation awareness, and improving directional accuracy compared to visual or auditory-only displays. The experimental results revealed that higher urgency patterns (shorter bursts and intervals) elicited significantly shorter RTs and higher intuitive ratings than lower urgency patterns. Among signal types, pedestrian status and headway reduction warnings produced the shortest RTs and highest confidence ratings. Conversely, surrounding vehicle and navigation signals yielded the highest interpretation accuracy. The findings suggest that tactile signals can effectively communicate complex environmental data, with specific patterns optimizing either speed of response or clarity of interpretation. The significance of this work lies in providing empirical evidence for designing next-generation human-machine interfaces (HMIs) for automated vehicles. By demonstrating that tactile displays can reliably convey meaningful information through idle sensory channels, the study supports the integration of haptic feedback to enhance safety during critical takeover scenarios. The findings offer specific design guidelines for urgency levels and signal types, potentially benefiting diverse driver populations, including those with cognitive or sensory impairments. The authors note limitations regarding the young, homogeneous participant sample and the lack of direct comparison with visual/auditory controls, suggesting future research should examine concurrent informative and instructional signals in complex urban environments with broader demographic groups.

Key finding

Higher urgency tactile patterns resulted in shorter reaction times and higher intuitive ratings, while pedestrian status and headway reduction signals produced shorter reaction times and higher confidence ratings compared to other signal types.

Methodology

simulator

Sample size: 16

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

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

Topics

Ranked by relevance to this paper. Hover a topic for its definition.

• haptic feedback
• ehmi external hmi
• feedback modes
• automation
• vru facing ehmi
• multimodal feedback
• multisensory crossmodal

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).

• Applied Guidance: design guidelines
• Empirical Findings: behavioral performance data
• Theoretical Contribution: conceptual framework