Acceptance and Usability of a Soft Robotic, Haptic Feedback Seat for Autonomy Level Transitions in Highly Automated Vehicles
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Summary
This paper addresses the safety and usability challenges associated with Take-Over Requests (TORs) in highly automated vehicles (autonomy levels 3–5). As vehicles transition from autonomous to manual control, drivers must rapidly regain situational awareness. Existing auditory and visual cues can be insufficient or ignored, while high-frequency vibro-tactile feedback often causes discomfort or tactile clutter. The authors propose a soft robotic haptic feedback seat utilizing static mechano-tactile stimulation via embedded soft pneumatic actuators (SPAs) to provide less intrusive, yet effective, alerts for non-urgent TORs. The study combines mechanical design, analytical modeling, and human-subject evaluation. The authors designed and fabricated cylindrical SPAs using Ecoflex 00-30 silicone reinforced with polyester fibers and two-way stretch fabric to ensure unidirectional elongation and prevent radial expansion. An analytical model based on the Gent hyperelastic material model was developed to predict actuator force and elongation, validated through tensile tests and universal testing machine experiments. Twelve of these actuators were embedded into the bolsters of a driving simulator seat. The evaluation involved 21 participants who experienced both auditory and haptic feedback during simulated driving scenarios. Acceptance was measured using the Van der Laan et al. toolkit (assessing usefulness and satisfaction), and usability was evaluated using the System Usability Scale. The results demonstrate that the analytical model accurately predicts the actuator’s mechanical behavior, including elongation, force generation, and stiffness adaptability. Experimental validation confirmed that the actuators could generate sufficient force to be perceptible without causing pain, staying within the detection thresholds for both male and female users. In the user study, the haptic feedback seat showed positive acceptance scores, with participants reporting high levels of usefulness and satisfaction. The static mechano-tactile feedback was found to be effective in alerting drivers to TORs, offering a viable alternative to traditional auditory cues, particularly for drivers with hearing impairments or in scenarios where audio alerts might be confused with environmental noise. The significance of this work lies in its contribution to inclusive and comfortable human-machine interfaces for automated driving. By validating a soft robotic seat that provides static mechano-tactile feedback, the study offers a solution that mitigates the discomfort associated with vibro-tactile systems while maintaining effective alertness. The findings suggest that integrating such haptic seats into highly automated vehicles can enhance driver safety during autonomy transitions by improving situational awareness without overloading the driver’s sensory channels. This approach supports the broader adoption of automated vehicles by addressing critical safety concerns related to driver engagement and takeover readiness.
Key finding
The soft robotic haptic feedback seat demonstrated high acceptance and usability among participants, effectively communicating take-over requests through static mechano-tactile cues in a driving simulator environment.
Methodology
simulator
Sample size: 21
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 | — | — | — | 1 | 2026-05-07 |
| archive | success | unpaywall | — | — | 2 | 2026-06-04 |
| extract | success | cached | — | — | 3 | 2026-06-10 |
| clean | success | clean | — | — | 1 | 2026-06-04 |
| chunk | success | chunk | — | — | 1 | 2026-06-04 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-04 |
| enrich | success | semantic_scholar | — | — | 2 | 2026-06-04 |
| promote | success | — | — | — | 1 | 2026-06-04 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 2 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 15 | 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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