Postgraduate Diploma in Handover, Trust and Driver Supervision
Online 800 h Postgraduate Diploma in Handover, Trust and Driver Supervision. 8 modules covering SAE J3016 (levels of driving automation), UN Regulation No. 157 (ALKS) and IPG CarMaker. Assigned tutor and open enrolment.
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Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Classify levels of automation according to SAE J3016.
Analyse control transitions between the system and the driver.
Design an effective HMI for takeover requests.
Explain the formation and calibration of trust in automation.
Specify driver supervision strategies.
Apply experimental methodologies for evaluating handover.
Validate the design against safety and type-approval requirements.
Who it's for
- Automotive HMI engineer who wants to specialise in Handover, Trust and Driver Supervision.
- Human factors engineer in automated driving who wants to specialise in Handover, Trust and Driver Supervision.
- ADAS/AD validation engineer who wants to specialise in Handover, Trust and Driver Supervision.
- Researcher in driver-vehicle interaction who wants to specialise in Handover, Trust and Driver Supervision.
- SOTIF safety engineer who wants to specialise in Handover, Trust and Driver Supervision.
- Driver monitoring specialist who wants to specialise in Handover, Trust and Driver Supervision.
- Engineering or science graduates seeking to enter the automotive sector.
What you'll work with
- SAE J3016 (levels of driving automation)
- UN Regulation No. 157 (ALKS)
- ISO 21448 (SOTIF)
- ISO/TR 21959 (human performance in control transitions)
- ISO 26262
- Implementing Regulation (EU) 2022/1426 (automated driving systems)
- ISO 15007 (measurement of driver visual behaviour)
8 modules · 800 h
1.1SAE J3016 levels of automation1.2Level 2, 3 and 4 functions1.3Operational design domain1.4UNECE Regulation 157 on ALKS1.5Driver responsibility at each level1.6Commercial systems and their limitations1.7Accidents involving automated vehicles1.8Human factors in automated driving1.9European type-approval regulations1.10Case study: analysis of a Level 2 accident
2.1Takeover request2.2Takeover time and its factors2.3Quality of takeover2.4Planned and unplanned transitions2.5Minimum risk manoeuvre2.6Deactivation by the driver2.7Confusing modes and mode errors2.8Transitions in Levels 3 and 42.9Performance models for transitions2.10Practice: analysis of takeover times in simulator data
3.1Visual, auditory and haptic signals3.2Escalating warnings3.3System status information3.4Visualising the vehicle's intent3.5Steering wheel and display interfaces3.6Head-up display and augmented reality3.7Consistency across manufacturers3.8NHTSA HMI design guidelines3.9Comprehensibility testing3.10Workshop: designing a takeover warning sequence
4.1Lee and See trust models4.2Overtrust and distrust4.3Calibration of trust4.4Transparency and system explanations4.5Effect of failures on trust4.6Measuring trust: scales and behaviour4.7Trust and prior experience4.8Training and mental models4.9Communicating capabilities and limits4.10Case study: evolution of trust after simulated failures
5.1Driver availability5.2Attention and mental disengagement5.3Non-driving-related activities5.4Gaze and head camera monitoring5.5Hands-on-wheel detection5.6Re-engagement strategies5.7Monitoring requirements in ALKS5.8Privacy of supervision data5.9Euro NCAP and assessment of supervision systems5.10Laboratory: gaze classification in driver video
6.1Driving simulator studies6.2Wizard-of-Oz track testing6.3Naturalistic on-road studies6.4Dependent variables and metrics6.5Experimental design and counterbalancing6.6Participant samples6.7Statistical analysis with mixed models6.8Ethics and participant safety6.9Ecological validity6.10Practice: experimental design of a handover study
7.1ISO 21448 SOTIF and human factors7.2ISO 26262 and controllability7.3Foreseeable misuse of the system7.4Safety arguments with human factors7.5Scenario-based assessment7.6HMI type-approval requirements7.7Field data and post-sale monitoring7.8Legal liability and data recording7.9Social acceptance7.10Case study: SOTIF analysis of foreseeable misuse
8.1Definition of the automated function8.2Analysis of transition scenarios8.3HMI design8.4Driver supervision strategy8.5Experimental study design8.6Execution and data analysis8.7Design recommendations8.8Safety argument8.9Report and presentation8.10Final review with the tutor
How you'll learn
100% online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: students progress at their own pace within the enrolment period, which makes it possible to combine the programme with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is IPG CarMaker, CARLA, MATLAB, Tobii Pro Lab, in free, academic or evaluation versions. Tests are studied using real driving simulator procedures with control transitions, track tests with an automated vehicle, and trust studies with users. Assessment is continuous by module, plus the final integrating project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Classify levels of automation according to SAE J3016.
Analyse control transitions between the system and the driver.
Design an effective HMI for takeover requests.
Explain the formation and calibration of trust in automation.
Specify driver supervision strategies.
Where this takes you
Requirements
- Prior technical training or professional experience in the sector. A university degree is not required.
- Internet connection and a computer capable of running the programme's software.
- Sufficient command of Spanish to follow technical standards texts.
Ready to start?
Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.
Frequently asked questions
The programme totals 800 hours, spread over 6 to 8 months. That is an average of 10 to 15 hours per week, compatible with full-time work.
You will work with IPG CarMaker, CARLA, MATLAB and Tobii Pro Lab. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.
A SEIUM Institute diploma upon passing the continuous assessment and the integrating project. It is an in-house qualification, not an official qualification from the Ministry.
Yes. Modules passed in a course or postgraduate diploma in the same area are credited towards the advanced programme. Please check the credit transfer policy when you enrol.
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