Handover Guidance AI for Self-Driving
Handover Guidance AI for Self-Driving
Developed a multisensory AI guidance system for transitions from “autonomous” to “manual” driving, which reduced driver anxiety by 72% and shortened response time by 2.7 sec.
Developed a multisensory AI guidance system for transitions from “autonomous” to “manual” driving, which reduced driver anxiety by 72% and shortened response time by 2.7 sec.
Client:
Independent project


Role:
Product Designer

Year:
2024
Handover Guidance AI for Self-Driving
Developed a multisensory AI guidance system for transitions from “autonomous” to “manual” driving, which reduced driver anxiety by 72% and shortened response time by 2.7 sec.
Client:
Independent project


Role:
Product Designer

Year:
2024
Challenge

Only Level 3 autonomous vehicles require the driver to retake control during a handover, a moment that often involves delayed reaction, stress, and significant safety risks. However, existing systems lack real-time, intuitive support to guide drivers through this critical transition.

Objective
Challenge

The goal was to design a comprehensive UX solution for Level 3 control transitions by identifying key scenarios based on real driving data, and applying LLM-powered AI guidance with multisensory feedback to reduce driver anxiety and improve response time.

Only Level 3 autonomous vehicles require the driver to retake control during a handover, a moment that often involves delayed reaction, stress, and significant safety risks. However, existing systems lack real-time, intuitive support to guide drivers through this critical transition.

Objective

The goal was to design a comprehensive UX solution for Level 3 control transitions by identifying key scenarios based on real driving data, and applying LLM-powered AI guidance with multisensory feedback to reduce driver anxiety and improve response time.

Result

The system, optimized for six real-world scenarios, reduced driver anxiety by 72%, improved reaction time by 2.7 seconds, increased safety by 87%, and achieved a user satisfaction score of 4.8/5 in internal testing.

Result

The system, optimized for six real-world scenarios, reduced driver anxiety by 72%, improved reaction time by 2.7 seconds, increased safety by 87%, and achieved a user satisfaction score of 4.8/5 in internal testing.

  • Mercedes Project Dev. PM: Jason

  • Mercedes Project Planning PM: JJ

  • Korean Air Pilot: Solomon

  • Fashion CEO: Jenna

  • Attorney: Michael

  • Startup CEO: Chris

  • Mercedes Project Dev. PM: Jason

  • Mercedes Project Planning PM: JJ

  • Korean Air Pilot: Solomon

  • Fashion CEO: Jenna

  • Attorney: Michael

  • Startup CEO: Chris

"Yeah, in Level 3 autonomy, the transition is both critical and risky. I think proper guidance and alerts are essential—but current systems mostly rely on one-way alerts, which isn’t enough."

Expert : Jason (Mercedes project dev. PM)

"I think autonomous driving is an incredibly exciting technology, but without the right transition guidance, it can also be extremely dangerous."

Target User : Michael (Attorney)

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