Postgraduate DiplomaDesign, HMI & Product Applications open

Diploma in Handover, Trust and Explainability in Supervised Driving

Online postgraduate diploma of 800 hours in handover, trust and explainability in supervised driving: 8 modules covering supervised driving and automation levels, handover and takeover, driver monitoring, trust in automation, explainability, user evaluation, and regulations and liability, with an assigned technical tutor.

Duration800 hours · 6–8 months
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma

Diploma in Handover, Trust and Explainability in Supervised Driving — studying from the United Kingdom

Product design and human-machine interface work is well established in the United Kingdom, supported by design-led manufacturers, consumer electronics firms, automotive studios and digital product agencies. London, Brighton, Manchester and Cambridge host design teams working on interfaces, usability and product development. Engineers and designers collaborate on user experience for vehicles, medical devices, industrial equipment and consumer goods. The Design Council and professional design bodies promote standards in design practice and innovation.

Fees for the United Kingdom: £1,070 (Pound sterling), with instalments and employer sponsorship available.

Relevant bodies in the United Kingdom

  • Design Council
  • Chartered Society of Designers (CSD)
  • Design Research Society (DRS)
  • British Standards Institution (BSI)

Typical roles

  • Product Designer
  • HMI Designer
  • UX Engineer
  • Industrial Design Engineer

Questions from the United Kingdom

Which UK professional bodies relate to design and human-machine interface (HMI) work?

In the UK, the Design Council, the Chartered Society of Designers and the British Computer Society's usability specialist groups are relevant, and the IET covers many product and interface engineering areas. SEIUM's qualifications are private and not accredited by these organisations. Contact the relevant body to confirm how your study would be viewed.

Do UK product and design employers value private online qualifications in HMI?

UK product, automotive, medical device and technology firms usually hire on the strength of design portfolios, user research experience and technical skill. A private qualification can add to your profile, but employers decide its relevance. A strong portfolio showing real interface and product work is typically the key factor.

How does online study work for someone already employed in the UK, and what is the workload?

Programmes are fully online, so you can study around your UK job without a student visa. Teaching is in English, and an assigned technical tutor will guide your work. Each programme has a defined number of hours, and fees can be paid in instalments. Some employers sponsor job-related study, which varies by employer. Check the hours and funding options before enrolling.

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Learning outcomes

What you will be able to do

01

Distinguish between automation levels and their responsibilities.

02

Design safe handover and takeover processes.

03

Specify driver monitoring strategies.

04

Measure and calibrate driver trust in automation.

05

Design understandable explanations of system behaviour.

06

Evaluate supervised driving interfaces with users.

07

Apply regulatory HMI requirements to DCAS and ALKS systems.

Profile

Who it's for

  • ADAS HMI engineers
  • Automation human factors researchers
  • Driver monitoring system engineers
  • Vehicle user experience specialists
  • Automated systems validation engineers
  • Automation regulation consultants
  • Engineering or science graduates looking to move into the automotive sector
Standards & tools

What you'll work with

  • SAE J3016 (taxonomy of driving automation levels)
  • UN ECE Regulation No. 171 (driver control assistance systems)
  • UN ECE Regulation No. 157 (automated lane keeping systems)
  • Regulation (EU) 2019/2144 (General Safety Regulation)
  • ISO 21448:2022 (SOTIF)
  • ISO/TR 21959-1:2020 (human performance in control transitions)
  • UN ECE Regulation No. 79 (steering equipment)
  • ISO 15007:2020 (measurement of driver visual behaviour)
  • SCANeR studio
  • CARLA
  • Smart Eye Pro
  • ProtoPie
  • MATLAB
Syllabus

8 modules

  1. 1.1SAE J3016 automation levels
  2. 1.2Supervised versus automated driving
  3. 1.3Operational design domain
  4. 1.4Driver responsibilities
  5. 1.5Lane keeping systems and ACC
  6. 1.6Supervised hands-off systems
  7. 1.7UN ECE Regulation No. 171 DCAS
  8. 1.8UN ECE Regulation No. 157 ALKS
  9. 1.9Accident research involving assistance systems
  10. 1.10Workshop: classifying commercial systems by level
  1. 2.1Control transitions: types and phases
  2. 2.2Takeover requests
  3. 2.3Reaction time and takeover quality
  4. 2.4Factors influencing takeover
  5. 2.5Out of the loop and regaining awareness
  6. 2.6Minimal risk transitions
  7. 2.7Minimal risk manoeuvre
  8. 2.8Transition quality metrics
  9. 2.9Designing escalating warnings
  10. 2.10Practical: analysing takeover times in a simulator
  1. 3.1Camera-based DMS
  2. 3.2Hands-on-wheel detection
  3. 3.3Gaze and attention to the road
  4. 3.4Drowsiness and distraction
  5. 3.5Warning escalation strategies
  6. 3.6Monitoring requirements in DCAS
  7. 3.7Driver data privacy
  8. 3.8False positives and acceptance
  9. 3.9Validating DMS
  10. 3.10Lab: attention warning escalation strategy
  1. 4.1Lee and See trust models
  2. 4.2Trust calibration
  3. 4.3Overtrust and undertrust
  4. 4.4Complacency and system misuse
  5. 4.5Measurement with trust questionnaires
  6. 4.6Behavioural measures of trust
  7. 4.7How trust evolves with experience
  8. 4.8Influence of marketing and naming
  9. 4.9User training
  10. 4.10Case study: designing a trust calibration study
  1. 5.1System transparency and mental models
  2. 5.2Communicating capabilities and limitations
  3. 5.3Visualising what the vehicle perceives
  4. 5.4Explaining manoeuvre intentions
  5. 5.5Communicating uncertainty
  6. 5.6Adaptive levels of detail
  7. 5.7Real-time versus after-the-fact explanations
  8. 5.8Risk of information overload
  9. 5.9Evaluating understanding
  10. 5.10Workshop: visualising the perceived environment in the cluster
  1. 6.1Driving simulators for automation
  2. 6.2Track and road studies
  3. 6.3Critical transition scenarios
  4. 6.4Performance and behaviour metrics
  5. 6.5Evaluating mode awareness
  6. 6.6Longitudinal usage studies
  7. 6.7Participant ethics and safety
  8. 6.8Statistical analysis of transitions
  9. 6.9Reporting results
  10. 6.10Practical: takeover study protocol
  1. 7.1HMI requirements in UN ECE regulations
  2. 7.2EU General Safety Regulation
  3. 7.3Euro NCAP assistance protocols
  4. 7.4Legal liability in supervised driving
  5. 7.5User information and manuals
  6. 7.6Event data recording
  7. 7.7Cybersecurity and updates
  8. 7.8Ethics of automation
  9. 7.9Regulatory trends in supervised driving
  10. 7.10Case study: HMI requirements for a DCAS system
  1. 8.1Selecting the system and scenario
  2. 8.2Transition analysis
  3. 8.3Monitoring strategy
  4. 8.4Designing explanations
  5. 8.5Interface prototype
  6. 8.6User evaluation
  7. 8.7Design recommendations
  8. 8.8Misuse risk analysis
  9. 8.9Report and presentation
  10. 8.10Final project: final review with the tutor
Methodology, software & labs

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: you progress at your own pace within each intake, so the programme fits around your job.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is SCANeR studio, CARLA, Smart Eye Pro, ProtoPie and MATLAB, in free, academic or evaluation versions. Testing is studied through real procedures for takeover studies in a driving simulator, design of driver monitoring strategies, and evaluation of mode and explanation understanding. Assessment is continuous by module, plus the final integration project.

Standards covered: SAE J3016 (taxonomy of driving automation levels); UN ECE Regulation No. 171 (driver control assistance systems); UN ECE Regulation No. 157 (automated lane keeping systems); Regulation (EU) 2019/2144 (General Safety Regulation); ISO 21448:2022 (SOTIF); ISO/TR 21959-1:2020 (human performance in control transitions); UN ECE Regulation No. 79 (steering equipment); ISO 15007:2020 (measurement of driver visual behaviour).

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of SAE J3016 and UN ECE Regulations No. 171 and 157 applied to real cases, not as a theoretical annex.
Industry software:SCANeR studio, CARLA, Smart Eye Pro, ProtoPie and MATLAB, in free, academic or evaluation versions.
Final project:a complete supervised driving HMI concept covering transitions, driver monitoring, explanations and user evaluation, reviewed by your tutor.
Flexible format:100% online, no fixed timetables, compatible with full-time work.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Select system and scenario
Choose the assistance system and define the driving scenario.
Analyse transitions
Analyse handover and takeover transitions and define the monitoring strategy.
Design explanations
Design how the system explains its behaviour to the driver.
Prototype and evaluate
Build an interface prototype and evaluate it with users.
Final project
Issue design recommendations, analyse misuse risks and present the report to your tutor.
Career opportunities

Where this takes you

ADAS HMI engineerAutomation human factors researcherDriver monitoring systems engineerVehicle user experience specialistAutomated systems validation engineerAutomation regulation consultant
Admissions & scholarships

Requirements

  • Prior technical training or professional experience in the sector. No university degree is required.
  • An internet connection and a computer capable of running the programme software.
  • English sufficient to read technical standards.

Ready to start?

Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.

FAQ

Frequently asked questions

The programme totals 800 hours over 6–8 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.

You work with SCANeR studio, CARLA, Smart Eye Pro, ProtoPie and MATLAB, using free, academic or evaluation versions. Your tutor indicates the free alternative wherever one exists.

A SEIUM Institute diploma, awarded on passing the continuous assessment and the final project. It is SEIUM's own qualification, not an official state degree; its recognition depends on the programme completed and the regulations of each country.

Yes. Modules passed are recognised in a higher programme in the same area (postgraduate diploma or master's). Ask about the recognition policy when you enrol.

Prior technical training or professional experience in the sector (no university degree required), a computer able to run the software, and English sufficient to read technical standards.

Start dates are set by SEIUM's faculty for each intake. Our admissions team will confirm the next available date when you apply.

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