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| en:safeav:curriculum:hmc-m [2025/09/24 13:34] – created larisas | en:safeav:curriculum:hmc-m [2025/11/04 15:44] (current) – raivo.sell |
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| ====== Module: 6. Human Machine communication (Part 2) ====== | ====== Module: Human Machine communication (Part 2) ====== |
| | **Study level** | Bachelor 1 || | |
| | **ECTS credits** | 3-6 || | ^ **Study level** | Master | |
| | **Study forms** | Hybrid or fully online || | ^ **ECTS credits** | 1 ECTS | |
| | **Module aims** | to be added || | ^ **Study forms** | Hybrid or fully online | |
| | **Pre-requirements** | Motivation to study AV, recommended to have basics on programming, electronics and mechatronics || | ^ **Module aims** | The aim of the module is to introduce safety, validation and societal aspects of human–machine interaction in autonomous systems. The course develops students’ ability to design and evaluate human-centred, explainable and standards-compliant HMI solutions that support usability, trust and safety. | |
| | **Learning outcomes** | After completing this module (for every topic listed below), the student:\\ - knows x\\ - knows y\\ - understands z\\ - can w || | ^ **Pre-requirements** | Basic knowledge of human factors or HMI design principles and interest in system safety. Familiarity with user interface development, AI concepts, ergonomics or safety-related standards is recommended but not mandatory. | |
| | ** Topics ** | __Topic AV1 __ (1 ECTS) \\ \\ __Topic AV2 __ (2 ECTS)) \\ \\ __Topic AV3 __ (2 ECTS)\\ \\ __Topic AV4 __ (1 ECTS) \\ || | ^ **Learning outcomes** | **Knowledge**\\ • Explain safety and reliability concerns in HMI design for autonomous and semi-autonomous systems.\\ • Describe standards and frameworks for HMI validation.\\ • Understand social, ethical, and psychological dimensions influencing public trust in AI-driven systems.\\ • Identify factors affecting cross-cultural and demographic acceptance of automation.\\ **Skills**\\ • Design validation procedures for HMI systems using both experimental and simulation-based testing.\\ • Evaluate user behavior, workload, and situational awareness using quantitative and qualitative methods.\\ • Apply AI tools to simulate user interaction, predict response variability, and analyze safety-related feedback.\\ • Conduct usability assessments and generate compliance reports aligned with HMI safety standards.\\ **Understanding**\\ • Appreciate the ethical importance of transparency, inclusivity, and user autonomy in interface design.\\ • Recognize human limitations and adapt systems to support shared control and human oversight.\\ • Develop awareness of public communication, risk perception, and media framing in acceptance of autonomy. | |
| | **Type of assessment** | The prerequisite of a positive grade is a positive evaluation of module topics and presentation of practical work results with required documentation || | ^ **Topics** | 1. Human–Machine Interaction Safety:\\ – Human error taxonomy and resilience engineering.\\ – Shared control and human oversight in automated systems.\\ 2. Verification and Validation of HMI:\\ – Testing frameworks, simulation methods, and standards.\\ – Usability metrics: workload, trust, explainability, and accessibility.\\ 3. Public Acceptance and Risk Perception:\\ – Cultural and social factors influencing acceptance of automation.\\ – Role of transparency, explainability, and user trust.\\ 4. AI-Assisted Interaction Evaluation:\\ – Emotion and intent recognition, human-in-the-loop testing.\\ – Adaptive HMIs and predictive user modeling.\\ 5. Standards and Case Studies:\\ – AVSC Best Practices, ISO/SAE frameworks, and real-world HMI validation studies. | |
| | **Learning methods** | to be added || | ^ **Type of assessment** | The prerequisite of a positive grade is a positive evaluation of module topics and presentation of practical work results with required documentation | |
| | **AI involvement** | Explicit list of AI tools and application mtehods | | | ^ **Learning methods** | **Lecture** — Cover theoretical foundations of safety, public trust, and V&V frameworks in HMI.\\ **Lab works** — Implement HMI prototypes and perform usability and safety validation using simulation environments.\\ **Individual assignments** — Evaluate and document HMI validation plans for different user scenarios and safety levels.\\ **Self-learning** — Review literature on human factors, public acceptance, and ethical design in automation. | |
| | **References to\\ literature** | to be added || | ^ **AI involvement** | AI tools may assist in user behavior prediction, emotion recognition analysis, and usability simulation. Students must transparently disclose AI usage, validate data integrity, and comply with academic and ethical standards. | |
| | **Lab equipment** | to be added || | ^ **Recommended tools and environments** | Unity, MATLAB, ROS2 | |
| | **Virtual lab** | to be added || | ^ **Verification and Validation focus** | | |
| | **MOOC course** | MOOC Courses hosting for SafeAV, IOT-OPEN.EU Reloaded, and Multiasm grants: http://edu.iot-open.eu/course/index.php?categoryid=3 || | ^ **Relevant standards and regulatory frameworks** | ISO 26262, ISO 21448, SAE J3016 | |
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