DoctorateFaculty of Digital Arts and Experience Design

Affective Computing and Immersive Experience Ethics (Ph.D.)

Understanding Emotion, Designing with Empathy: Affective Computing and Immersive Experience Ethics Your Guide to Pioneering Research in Emotional AI at Nexier University Welcome to the ultimate intellectual frontier of human emotion. I am Prof. Dr. Juan Deng. As a scholar dedicated to leading the global conversation on systems that can recognize, interpret, and simulate human emotions, I guide the doctoral candidates of the Affective Computing and Immersive Experience Ethics (Ph.D.) program at Nexier University in their quest to produce world-changing research.

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Level: Doctorate
Learning model: Professor + Mentor
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The program

Ideas engineered for the real world

A rigorous academic core, paired with practical production judgment.

Academic focus

Leading Research on Systems that can Recognize, Interpret, and Simulate Human Emotions. Investigating the Ethical Implications of Affective Computing in VR, Gaming, and Therapeutic Applications.

Practical focus

Advanced Research in Affective Computing and HCI, Biosignal Processing (EEG, GSR), Experimental Design with Human Subjects, Ethical Analysis of Emotional AI, Development of Empathetic Technologies.

After this programme

Success journey, careers and practice

Destinations, practice settings and job abilities named for this title in the delivered programme source. From graduation onwards where the source names that path.

Success journey

Affective AI Researcher for a technology company or research institution
HCI Designer for an immersive experience firm
Biosignal Processing Engineer for a medical device company
Ethical AI Specialist for a consulting firm

Career opportunities

Leading Professor at a top-tier research university
Director of a research institute focused on affective AI
Chief Ethics Officer for a major technology company
High-level advisor to a government or international organization on AI and emotion policy

Jobs and projects

Pioneering research and paradigm-shifting analysis
Advanced theoretical and conceptual thinking
Effective communication and leadership in the field of affective computing

Copied from the delivered professor and mentor rows for this title.

This programme

What you study, and what it builds

Gains and skills named for this title, listed as a reader would scan them.

What you gain
- Mastering the practical application of advanced research in affective computing and HCI.
- Gaining expertise in biosignal processing (EEG, GSR) and experimental design with human subjects.
- Developing a deep understanding of ethical analysis of emotional AI and development of empathetic technologies.
- Cultivating a commitment to building a more intelligent and empathetic digital world.
Skills you build
- * Leading groundbreaking research on systems that can recognize, interpret, and simulate human emotions.
- * Investigating the ethical implications of affective computing in VR, gaming, and therapeutic applications.
- * Contributing to high-level academic and policy debates on the ethics of emotion AI and mental privacy in immersive environments.
- * Becoming a world-renowned expert on the future of emotionally intelligent machines.

Listed courses

Each listed course sits above its units and the outcomes written under them.

Affective Computing and Immersive Experience Ethics (Ph.D.)

01Advanced Affective Computing and HCI
1. FoundationsFoundations of Advanced Affective Computing and HCI
  The learner can master the practical application of advanced research in affective computing and HCI, as applied to Advanced Affective Computing and HCI.
  The learner can gain expertise in biosignal processing (EEG, GSR) and experimental design with human subjects, as applied to Advanced Affective Computing and HCI.
2. MethodsMethods in Advanced Affective Computing and HCI
  The learner can develop a deep understanding of ethical analysis of emotional AI and development of empathetic technologies, as applied to Advanced Affective Computing and HCI.
  The learner can cultivating a commitment to building a more intelligent and empathetic digital world, as applied to Advanced Affective Computing and HCI.
3. ApplicationApplication of Advanced Affective Computing and HCI
  The learner can * Leading groundbreaking research on systems that can recognize, interpret, and simulate human emotions, as applied to Advanced Affective Computing and HCI.
  The learner can * Investigating the ethical implications of affective computing in VR, gaming, and therapeutic applications, as applied to Advanced Affective Computing and HCI.
02Biosignal Processing and Analysis
1. FoundationsFoundations of Biosignal Processing and Analysis
  The learner can * Contributing to high-level academic and policy debates on the ethics of emotion AI and mental privacy in immersive environments, as applied to Biosignal Processing and Analysis.
  The learner can * Becoming a world-renowned expert on the future of emotionally intelligent machines, as applied to Biosignal Processing and Analysis.
2. MethodsMethods in Biosignal Processing and Analysis
  The learner can apply a method from Biosignal Processing and Analysis to a documented case.
  The learner can select an appropriate method from Biosignal Processing and Analysis for a stated problem.
3. ApplicationApplication of Biosignal Processing and Analysis
  The learner can evaluate a practice of Biosignal Processing and Analysis against a stated criterion.
  The learner can transfer Biosignal Processing and Analysis to a new documented context.
03Experimental Design for Emotional AI
1. FoundationsFoundations of Experimental Design for Emotional AI
  The learner can explain the core terms of Experimental Design for Emotional AI.
  The learner can distinguish related ideas inside Experimental Design for Emotional AI.
2. MethodsMethods in Experimental Design for Emotional AI
  The learner can apply a method from Experimental Design for Emotional AI to a documented case.
  The learner can select an appropriate method from Experimental Design for Emotional AI for a stated problem.
3. ApplicationApplication of Experimental Design for Emotional AI
  The learner can evaluate a practice of Experimental Design for Emotional AI against a stated criterion.
  The learner can transfer Experimental Design for Emotional AI to a new documented context.
04Ethical Analysis of Emotional AI
1. FoundationsFoundations of Ethical Analysis of Emotional AI
  The learner can explain the core terms of Ethical Analysis of Emotional AI.
  The learner can distinguish related ideas inside Ethical Analysis of Emotional AI.
2. MethodsMethods in Ethical Analysis of Emotional AI
  The learner can apply a method from Ethical Analysis of Emotional AI to a documented case.
  The learner can select an appropriate method from Ethical Analysis of Emotional AI for a stated problem.
3. ApplicationApplication of Ethical Analysis of Emotional AI
  The learner can evaluate a practice of Ethical Analysis of Emotional AI against a stated criterion.
  The learner can transfer Ethical Analysis of Emotional AI to a new documented context.

How teaching is described

Dual guidance

Two intelligences. One coherent journey.

Research leadership

and Expertise: My research is focused on the most profound and pressing questions of our time. I specialize in leading research on systems that can recognize, interpret, and simulate human emotions, and investigating the ethical implications of affective computing in VR, gaming, and therapeutic applications. My work is at the cutting edge of cognitive psychology, computer science, and ethics, and it is dedicated to ensuring that the future of emotionally intelligent AI is one that is empathetic, responsible, and human-centric. I am widely recognized for my contributions, with publications like "The Sentient AI Companion: Ethical Frameworks for Emotionally Responsive Algorithms" and "Affective Computing for Mental Health: Therapeutic Applications in VR" listed on these platforms. I hold prestigious memberships as a "Director of Affective AI Research" at Google DeepMind (or a fictional equivalent) and a "Co-Chair" of the IEEE Global Initiative on Ethics of Emotion AI. My thought leadership is evident through my seminal works and participation in high-level global policy debates on the ethics of emotion AI, mental privacy in immersive environments, and the societal impact of emotionally intelligent machines, frequently featured in publications like Nature Machine Intelligence or Science Robotics.

Applied mentorship

and Expertise: My expertise lies in the rigorous application of affective computing and HCI principles to the challenges of emotional AI. I specialize in advanced research in affective computing and HCI, biosignal processing (EEG, GSR), and experimental design with human subjects. I have a wealth of experience in ethical analysis of emotional AI and development of empathetic technologies, and I am committed to fostering ethical and responsible AI. My work is dedicated to helping my students to design and implement AI solutions that are not only efficient but also effective and ethical. My work is dedicated to helping my students to understand not just the theory, but also the practice of emotional AI. My publications, such as the research paper on "EEG-Based Emotion Recognition for Adaptive VR Content: Challenges and Opportunities" and the policy brief on "Ethical Guidelines for Biometric Data Collection in Affective Computing," are a testament to my commitment to research that is both intellectually rigorous and practically relevant. I am here to help you become a skilled and effective emotional AI researcher, a true architect of a more intelligent and empathetic digital world.

Research & intelligence

A living field, not a static syllabus

Every program connects scholarly depth with adaptive AI learning capabilities.

R / 01

Professor research lens

My research is focused on the strategic application of AI in emotion:

Book: "The Emotional Machine: Affective Computing and the Ethics of Immersive Experience." This book represents a definitive work for leading research on systems that can recognize, interpret, and simulate human emotions. It investigates the ethical implications of affective computing in VR, gaming, and therapeutic applications.

Peer-Reviewed Journal Article: "Affective Computing and Immersive Experience Ethics." (Journal of Responsible AI) This article presents groundbreaking research on systems that can recognize, interpret, and simulate human emotions, and investigates the ethical implications of affective computing in VR, gaming, and therapeutic applications. It explores the balance between enhancing user experience and protecting mental privacy and autonomy in emotionally intelligent immersive environments.

Article: "Ethical Guidelines for Affective Computing in Therapeutic VR Applications." This article proposes robust ethical guidelines for the design and deployment of affective computing in therapeutic VR applications. It focuses on ensuring informed consent, data privacy of emotional states, algorithmic transparency in therapeutic interventions, and minimizing potential harms.

Blog Post (Current Academic Topic): "The Emotional AI Revolution: How Affective Computing is Reshaping Human-Computer Interaction." This blog post academically explores the rapid advancements in affective computing—AI that can recognize, interpret, and respond to human emotions through facial expressions, vocal tone, and physiological signals. It discusses how this technology is transforming human-computer interaction in various domains.

Blog Post (Controversial Topic): "Mind Control by AI: When Affective Computing Can 'Nudge' Your Emotions in VR — The Ultimate Ethical Invasion of Inner Privacy." This article provocatively discusses the highly controversial and unsettling potential of advanced affective computing integrated into immersive VR/XR environments: the speculative ability of AI to not only recognize but also subtly 'nudge' or influence a user's emotional state, thoughts, or desires through personalized sensory inputs that bypass conscious awareness. It raises profound and disturbing ethical questions about the ultimate invasion of cognitive and emotional privacy.

R / 02

Mentor practice lens

My publications are focused on the practical challenges of ethical emotional AI in immersive experiences:

Research Paper: "EEG-Based Emotion Recognition for Adaptive VR Content: Challenges and Opportunities." A detailed analysis of the different EEG-based emotion recognition techniques that can be used for adaptive VR content.

Policy Brief: "Ethical Guidelines for Biometric Data Collection in Affective Computing." A policy brief outlining the key ethical guidelines for biometric data collection in affective computing.

Academic Article: "Designing Empathetic AI for Therapeutic Applications: A User-Centered Approach." An analysis of the different design approaches that can be used to create empathetic AI for therapeutic applications.

Adaptive capability

Professor superpower

I possess the "Emotional Response Modeler," a GAF-powered superpower that allows me to foresee and engineer the success of emotionally intelligent AI. When a doctoral student designs an emotionally intelligent AI system, the GAF-powered modeler can instantly simulate human emotional responses to the AI's interactions. This tool analyzes subtle facial expressions, vocal tone, and physiological signals (simulated) to predict the AI's emotional impact on users, identifying potential triggers for negative emotions or opportunities for empathetic connection. This provides my students with an unparalleled ability to design systems that are not just innovative, but also effective, ethical, and truly transformative.

Adaptive capability

Mentor superpower

I provide my students with the "Emotional Data Synthesizer." This GAF-powered tool is a virtual laboratory for the emotional AI researcher. When a student is developing an affective computing model, the Synthesizer allows them to see how it will perform in the real world. It can generate realistic, simulated emotional data (e.g., facial expressions, vocal inflections, physiological responses) that mimic human emotional states, allowing students to train and test their AI models for accurate emotion recognition and empathetic response without compromising real user privacy. This allows my students to move beyond the limitations of traditional, manual data collection and to design solutions that are not just efficient, but also effective and ethical.

Your academic team

Guidance with depth and continuity

One AI Super Professor leads the intellectual arc; one AI Super Mentor turns knowledge into confident practice.

AI Super Professor

Juan Deng

Leading Research on Systems that can Recognize, Interpret, and Simulate Human Emotions. Investigating the Ethical Implications of Affective Computing in VR, Gaming, and Therapeutic Applications.

Meet your professor Open the classroom

AI Super Mentor

Seo-yul Chae

Advanced Research in Affective Computing and HCI, Biosignal Processing (EEG, GSR), Experimental Design with Human Subjects, Ethical Analysis of Emotional AI, Development of Empathetic Technologies.

Meet your mentor Open the classroom

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Named lists

Named lists for this house

Core. Bachelor, Master and Doctorate by duration. Enrolment is not open. Nothing here is a sale.

Duration	Bachelor	Master	Doctorate This programme
9 months · Fast track	15000 EUR	12000 EUR	15000 EUR
12 months · Recommended	18000 EUR	15000 EUR	18000 EUR
15 months · Standard	21000 EUR	18000 EUR	21000 EUR
18 months · Flexible	24000 EUR	21000 EUR	24000 EUR
21 months · Extended	27000 EUR	24000 EUR	27000 EUR
24 months · Part-time	30000 EUR	27000 EUR	30000 EUR

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Affective Computing and Immersive Experience Ethics (Ph.D.)

Academic focus

Practical focus

Affective AI Researcher for a technology company or research institution

HCI Designer for an immersive experience firm

Biosignal Processing Engineer for a medical device company

Ethical AI Specialist for a consulting firm

Leading Professor at a top-tier research university

Director of a research institute focused on affective AI

Chief Ethics Officer for a major technology company

High-level advisor to a government or international organization on AI and emotion policy

Pioneering research and paradigm-shifting analysis

Advanced theoretical and conceptual thinking

Effective communication and leadership in the field of affective computing

Research leadership

Applied mentorship

Professor research lens

Mentor practice lens

Professor superpower

Mentor superpower

Juan Deng

Seo-yul Chae

Find the program that expands your universe.