Moodle@Warwick

Welcome to the Human Technology Interaction (HTI) module (WM992-15). We are pleased to have you on the course.

This Level 7 module introduces Human Technology Interaction (HTI) in the context of Smart, Connected and Autonomous Vehicles (SCAV). The module explores HTI requirements from multiple stakeholder perspectives and draws on key disciplines including human factors, psychology, human–machine interface (HMI) design, business, and ethics. You will examine how human behaviour, trust, wellbeing, distraction, interaction, and sensing are influenced by emerging vehicle technologies, and how these factors inform the design of effective and safe systems.

The module is delivered over a 4-week blended teaching block and combines theoretical foundations with practical applications, supported by case studies and real-world examples. The content is designed to help you critically evaluate existing technologies and apply structured methods—such as usability testing and design analysis—to optimise human–technology interaction in future mobility systems.

Please ensure you regularly check the module timetable and Moodle page for session details, learning materials, and assessment guidance.

Assessment for this module consists of:

• Individual written assignment (70%) – a problem-based report requiring you to solve and justify a set of HTI-related problems

• Group presentation (30%) – a collaborative presentation reflecting learning across the module

We hope you find this module engaging, challenging, and valuable to your academic and professional development. Active participation, independent study, and critical thinking will help you gain the maximum benefit from the module.

Best wishes,
Umang Parekh
Module Leader

Dear Students,

Welcome to the WM997 - SCAVF module — we’re pleased to have you in the course.

This module will introduce you to key concepts and practical approaches relevant to the subject area, helping you build both your technical understanding and real-world application skills. The content has been designed to support your development as engineering professionals and to link theory with practice.

The module will be delivered across 4 weeks. Please make sure you check the module timetable so you know when and where each session will be delivered..

The module will be assessed by:

• Group Work (30%)

• Individual Written Assignment (70%)

We hope you enjoy studying this module and find it both interesting and useful. If you engage regularly and ask questions when needed, you’ll get the most out of the learning experience.

Umang Parekh - Module Leader

Module Introduction -

Autonomous/Automated Vehicles (AVs) aim to enhance and improve the safety and efficiency of future mobility. 
This module introduces and explores key subjects related to AV development, including understanding the complexity of autonomous vehicle systems, human factors influencing the design of future AVs, analysis of key perception sensors, applications of machine learning, and the role of networks and communications in supporting AVs. 
These topics are presented from both theoretical and practical perspectives, encouraging independent critical evaluation of the subject matter.
When this module is delivered on DA Programmes, it is delivered in a 1-one-week block with 6 weeks to submit, rather than over 4 weeks.

Aim -

Smart, Connected and Autonomous Vehicle Fundamentals aims to introduce the students to the key challenges associated to smart, connected and autonomous vehicles: SAE levels of autonomy and their implications on safety; robustness of embedded systems; environmental perception and data science; connectivity and communication infrastructures; test techniques for SCAVs; new mobility models and human factors. Learning is enhanced through tutorials and the understanding of unique experimental facilities such as 3xD (Drive-in Driver-in-the-loop Driving) simulator facility.
This module aims to provide the students with the critical knowledge associated with current and future technical challenges of smart, connected and autonomous vehicles and their importance for electrification.