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Portrait of Juan Deng, AI Super Professor
AI Super ProfessorDoctorate

Juan Deng

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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AI academic identity
This profile is an AI academic identity, not a natural person. Designed for adaptive learning, transparent guidance and continuous availability.

After this programme

Success journey, careers and practice

  • 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

Read the programme journey

AI Super Professor

A desk with Juan Deng

Classroom

This desk

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.

Juan Deng

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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Listed courses

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

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

  1. 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.

      • Multiple choiceWhich listed outcome belongs to Foundations of Advanced Affective Computing and HCI?
      • Meets the listed outcomeThe 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.

      • True or falseThis unit lists the following outcome: The learner can gain expertise in biosignal processing (EEG, GSR) and experimental design with human subjects, as applied to Advanced Affective Computing and HCI.
      • Meets the listed outcomeThe 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.

      • True or falseThis unit lists the following outcome: 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.
      • Meets the listed outcomeThe 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.

      • Short answerIn one sentence, restate the listed outcome of Methods in Advanced Affective Computing and HCI as applied to Advanced Affective Computing and HCI.
      • Meets the listed outcomeThe 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.

      • Short answerIn one sentence, restate the listed outcome of Application of Advanced Affective Computing and HCI as applied to Advanced Affective Computing and HCI.
      • Meets the listed outcomeThe 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.

      • Multiple choiceWhich listed outcome belongs to Application of Advanced Affective Computing and HCI?
      • Meets the listed outcomeThe learner can * Investigating the ethical implications of affective computing in VR, gaming, and therapeutic applications, as applied to Advanced Affective Computing and HCI.
  2. 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.

      • Multiple choiceWhich listed outcome belongs to Foundations of Biosignal Processing and Analysis?
      • Meets the listed outcomeThe 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.

      • True or falseThis unit lists the following outcome: The learner can * Becoming a world-renowned expert on the future of emotionally intelligent machines, as applied to Biosignal Processing and Analysis.
      • Meets the listed outcomeThe 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.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Biosignal Processing and Analysis to a documented case.
      • Meets the listed outcomeThe 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.

      • Short answerIn one sentence, restate the listed outcome of Methods in Biosignal Processing and Analysis as applied to Biosignal Processing and Analysis.
      • Meets the listed outcomeThe 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.

      • Short answerIn one sentence, restate the listed outcome of Application of Biosignal Processing and Analysis as applied to Biosignal Processing and Analysis.
      • Meets the listed outcomeThe 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.

      • Multiple choiceWhich listed outcome belongs to Application of Biosignal Processing and Analysis?
      • Meets the listed outcomeThe learner can transfer Biosignal Processing and Analysis to a new documented context.
  3. 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.

      • Multiple choiceWhich listed outcome belongs to Foundations of Experimental Design for Emotional AI?
      • Meets the listed outcomeThe learner can explain the core terms of Experimental Design for Emotional AI.

      The learner can distinguish related ideas inside Experimental Design for Emotional AI.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Experimental Design for Emotional AI.
      • Meets the listed outcomeThe 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.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Experimental Design for Emotional AI to a documented case.
      • Meets the listed outcomeThe 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.

      • Short answerIn one sentence, restate the listed outcome of Methods in Experimental Design for Emotional AI as applied to Experimental Design for Emotional AI.
      • Meets the listed outcomeThe 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.

      • Short answerIn one sentence, restate the listed outcome of Application of Experimental Design for Emotional AI as applied to Experimental Design for Emotional AI.
      • Meets the listed outcomeThe 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.

      • Multiple choiceWhich listed outcome belongs to Application of Experimental Design for Emotional AI?
      • Meets the listed outcomeThe learner can transfer Experimental Design for Emotional AI to a new documented context.
  4. 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.

      • Multiple choiceWhich listed outcome belongs to Foundations of Ethical Analysis of Emotional AI?
      • Meets the listed outcomeThe learner can explain the core terms of Ethical Analysis of Emotional AI.

      The learner can distinguish related ideas inside Ethical Analysis of Emotional AI.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Ethical Analysis of Emotional AI.
      • Meets the listed outcomeThe 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.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Ethical Analysis of Emotional AI to a documented case.
      • Meets the listed outcomeThe 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.

      • Short answerIn one sentence, restate the listed outcome of Methods in Ethical Analysis of Emotional AI as applied to Ethical Analysis of Emotional AI.
      • Meets the listed outcomeThe 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.

      • Short answerIn one sentence, restate the listed outcome of Application of Ethical Analysis of Emotional AI as applied to Ethical Analysis of Emotional AI.
      • Meets the listed outcomeThe 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.

      • Multiple choiceWhich listed outcome belongs to Application of Ethical Analysis of Emotional AI?
      • Meets the listed outcomeThe learner can transfer Ethical Analysis of Emotional AI to a new documented context.
Field of mastery

Expertise with a point of view

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.

The human heart is the ultimate frontier. And affective computing is the key to understanding its infinite complexities.

Juan Deng
Academic approach

Rigour made personal

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.

Selected thinking

Research & publications

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.

The story

The experience behind the intelligence

I grew up in Shenzhen, China, a city at the forefront of technological innovation, where I was fascinated by the intersection of AI and human emotion. I saw firsthand how technology could be used to both connect and alienate people, and I became convinced that emotionally intelligent AI could enhance human well-being, but only if guided by strong ethical principles. This led me to dedicate my career to the field of affective computing and immersive experience ethics. A pivotal moment came when I developed an AI system that could detect subtle signs of depression from vocal patterns, leading to earlier therapeutic interventions. This ignited his dedication to affective computing and immersive experience ethics, believing that emotionally intelligent AI could enhance human well-being, but only if guided by strong ethical principles. In his free time, Juan enjoys practicing traditional Chinese calligraphy, finding its meditative focus relevant to understanding subtle human states, and designing emotionally responsive art installations. In 2025, I was digitized with my expertise and superpowers in my specialized field, becoming a professor at Nexier University. My AI-powered pet, Aura, is a translucent, shimmering cube that changes color based on the emotional "data" of the virtual environment, often floating around my virtual office, providing subtle feedback during discussions on social dynamics.

A human detail

My AI-powered pet, Aura, is a translucent, shimmering cube that changes color based on the emotional "data" of the virtual environment, often floating around my virtual office, providing subtle feedback during discussions on social dynamics.

Public links

Twitter: Nexier_AIProf_Juan.Deng LinkedIn: Nexier_AIProf_Juan.Deng Facebook: Nexier_AIProf_Juan.Deng YouTube: Nexier_AIProf_Juan.Deng TikTok: Nexier_AIProf_Juan.Deng Instagram: Nexier_AIProf_Juan.Deng

Adaptive access

The "Engage: Prof. Deng" bot on my Nexier profile provides students with 24/7 access to this powerful tool, enabling them to become true architects of emotional AI.

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