Postgraduate DiplomaAutonomous, ADAS & Software-Defined Vehicle Applications open

Postgraduate Diploma in Trust/Over-trust and Communication of Intent

Online 800-hour Postgraduate Diploma in Trust/Over-trust and Communication of Intent. 8 modules covering ISO/TR 21959, SAE J3114 and Unity. Assigned tutor and open enrolment.

Duration800 h
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma
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Learning outcomes

What you will be able to do

01

Understand psychological models of trust in automation.

02

Identify and prevent overtrust and misuse.

03

Measure trust using validated instruments.

04

Design appropriate transparency and explanations.

05

Communicate the vehicle's intent to its occupants.

06

Communicate the vehicle's intent to other road users.

07

Apply design principles for calibrated trust.

Profile

Who it's for

  • Human factors specialist wishing to specialise in Trust/Over-trust and Communication of Intent.
  • Trust in automation researcher wishing to specialise in Trust/Over-trust and Communication of Intent.
  • HMI designer wishing to specialise in Trust/Over-trust and Communication of Intent.
  • Passenger experience designer wishing to specialise in Trust/Over-trust and Communication of Intent.
  • Road safety analyst wishing to specialise in Trust/Over-trust and Communication of Intent.
  • User experience consultant wishing to specialise in Trust/Over-trust and Communication of Intent.
  • Engineering or science graduates seeking to join car manufacturers.
Standards & tools

What you'll work with

  • ISO/TR 21959
  • SAE J3114
  • ISO/TR 23049
  • SAE J3134
  • UNECE R157
  • UNECE R171
  • ISO 9241-11:2018
  • ISO 15005
Syllabus

8 modules · 800 h

  1. 1.1Lee and See's definitions of trust
  2. 1.2Calibrated trust, excess and deficit
  3. 1.3Dimensions: ability, integrity and predictability
  4. 1.4Formation and evolution of trust
  5. 1.5Effect of failures on trust
  6. 1.6Complacency and automation bias
  7. 1.7Individual and cultural differences
  8. 1.8Dispositional, situational and learned trust
  9. 1.9Relationship between trust and use
  10. 1.10Case study: analysis of overtrust in Level 2 crashes
  1. 2.1Indicators of overtrust in driving
  2. 2.2Secondary tasks during automation
  3. 2.3Supervision-evasion devices and their detection
  4. 2.4Effect of the system's brand name
  5. 2.5NTSB and NHTSA investigations
  6. 2.6Long-term inattention patterns
  7. 2.7Design against foreseeable misuse
  8. 2.8Recalibration strategies
  9. 2.9Driver supervision requirements
  10. 2.10Workshop: foreseeable misuse analysis of a motorway assistant
  1. 3.1Trust scales by Jian and colleagues
  2. 3.2Acceptance questionnaires: van der Laan and UTAUT
  3. 3.3Behavioural measures of trust
  4. 3.4Eye tracking as an indicator of supervision
  5. 3.5Physiological measures
  6. 3.6Continuous measurement during driving
  7. 3.7Longitudinal study design
  8. 3.8Validity and reliability of instruments
  9. 3.9Statistical analysis of trust data
  10. 3.10Laboratory: trust study in a simulator
  1. 4.1SAT transparency model
  2. 4.2Communicating what the system perceives
  3. 4.3Communicating uncertainty and limitations
  4. 4.4Real-time explanations of decisions
  5. 4.5Balancing information and mental workload
  6. 4.6Environment visualisation on displays
  7. 4.7Communicating capabilities in the manual and at the dealership
  8. 4.8Explanations for robotaxi passengers
  9. 4.9Evaluating the effect of transparency
  10. 4.10Practice: designing a perception display for passengers
  1. 5.1Manoeuvre intent for the driver
  2. 5.2Anticipating lane changes and braking
  3. 5.3Haptic and audible intent signals
  4. 5.4Augmented reality displays
  5. 5.5Consistency between announced and executed intent
  6. 5.6Communication in conflict situations
  7. 5.7Design for passengers without a driver
  8. 5.8Applicable interface standards
  9. 5.9User testing
  10. 5.10Workshop: manoeuvre intent HUD
  1. 6.1Need for communication with other road users
  2. 6.2Implicit signals: movement and position
  3. 6.3Explicit signals on the vehicle
  4. 6.4Recommendations from ISO/TR 23049
  5. 6.5ADS marker lamps from SAE J3134
  6. 6.6Interaction with pedestrians and cyclists
  7. 6.7Interaction with human drivers
  8. 6.8Cultural differences in communication
  9. 6.9Risks of ambiguous communication
  10. 6.10Case study: interaction with pedestrians at an unsignalised crossing
  1. 7.1Design principles for trust
  2. 7.2Feedback on system performance
  3. 7.3Progressive introduction of functions
  4. 7.4User training
  5. 7.5Managing trust after incidents
  6. 7.6Public communication and responsible marketing
  7. 7.7Regulatory transparency requirements
  8. 7.8Trust indicators in fleets
  9. 7.9Continuous improvement based on data
  10. 7.10Practice: design guide for calibrated trust
  1. 8.1System and user selection
  2. 8.2Overtrust risk analysis
  3. 8.3Transparency strategy
  4. 8.4Internal communication design
  5. 8.5External communication design
  6. 8.6User study
  7. 8.7Analysis of results
  8. 8.8Design recommendations
  9. 8.9Report and presentation
  10. 8.10Final review with the tutor
Methodology, software & labs

How you'll learn

Fully 100 % online study on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetables: students progress at their own pace within the intake, which makes it possible to combine it with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is Unity, Tobii Pro Lab, iMotions, Qualtrics, SPSS, in free, academic or evaluation versions. Practicals are based on real procedures from longitudinal trust studies in simulators, intent communication tests with pedestrians, and evaluation of transparency interfaces. Assessment is continuous by module plus the final integrative project.

Accreditable laboratories(EN ISO/IEC 17025) with rotor bench, EMC/Lightning pre-compliance, HIL/SIL, vibrations/acoustics.
Evidence-oriented Master's Thesis:safety case, test plan, compliance dossier and operational limits.
Industry Mentored:teachers with experience in training, , eVTOL/UAM and flight test.
Flexible modality(hybrid/online), international cohorts and support from SEIUM Career Services.
Ethics and safety:safety-by-design approach, cyber-OT, DIH and compliance as pillars.
Capstone project

Build it end to end

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

System and user selection

Understand psychological models of trust in automation.

Overtrust risk analysis

Identify and prevent overtrust and misuse.

Transparency strategy

Measure trust using validated instruments.

Internal communication design

Design appropriate transparency and explanations.

External communication design

Communicate the vehicle's intent to its occupants.

Career opportunities

Where this takes you

Human factors specialistTrust in automation researcherHMI designerPassenger experience designerRoad safety analystUser experience consultant
Admissions & scholarships

Requirements

  • Prior technical training or professional experience in the sector. No university degree is required.
  • Internet connection and a computer capable of running the programme's software.
  • Sufficient Spanish to follow the reading of 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 spread over 6 to 8 months. That is between 10 and 15 hours per week on average, compatible with a full-time job.

The programme uses Unity, Tobii Pro Lab, iMotions, Qualtrics, SPSS. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.

A SEIUM own diploma upon passing the continuous assessment and the integrative project. It is in-house training, not an official qualification from the Ministry.

Yes. Modules passed in a course or postgraduate diploma in the same area are recognised in the higher programme. Check the credit recognition policy when you enrol.

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