Interactive LED-scene design for immersive theatre: creation, deployment, and assessment | Blazingprojects Postgraduate Thesis
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Interactive LED-scene design for immersive theatre: creation, deployment, and assessment

 

Table Of Contents


Chapter ONE

INTRODUCTION

  • 1.1Introduction of Interactive LED-Scene Immersion in Theatre
  • 1.2Background of LED-Scene Technologies in Live Performance
  • 1.3Statement of the Problem: Gaps in Real-Time LED Interactivity and Storytelling
  • 1.4Aim and Objectives of the Study: Designing, Deploying, and Evaluating LED Scenes
  • 1.5Research Questions Guiding Immersive LED Narratives
  • 1.6Research Hypotheses on Perceptual and Narrative Impact of LED Scenes
  • 1.7Significance of the Study for Theatre Practitioners and Technologists
  • 1.8Scope and Delimitation: Stage Environments, Technologies, and Genres
  • 1.9Limitations of the Study: Technical, Ethical, and Logistical Boundaries
  • 1.10Organisation of the Study: Structure and Chapter Summary
  • 1.11Operational Definition of Terms: Key Concepts in LED-Scene Immersion

Chapter TWO

LITERATURE REVIEW

  • 2.1Conceptual Review: Immersive Theatre and LED-Scene Design
  • 2.2Conceptual Review: Human-Computer Interaction in Stage Environments
  • 2.3Theoretical Framework: Media Richness and Immersion Theory
  • 2.4Theoretical Framework: Constructivist Narrative Interaction
  • 2.5Empirical Review: Case Studies of LED-Driven Immersive Productions
  • 2.6Empirical Review: Real-Time Rendering, Tracking, and Synchronization Systems
  • 2.7Empirical Review: Audience Perception of Light, Color, and Spatial Sound
  • 2.8Empirical Review: Pedagogy and Training for Interactive Scenic Design
  • 2.9Empirical Review: Logistics of Deploying LED Screens in Theatrical Spaces
  • 2.10Empirical Review: Accessibility and Inclusivity in Immersive Theatres
  • 2.11Gaps in the Literature: Missing Longitudinal Assessments and Standardized Metrics
  • 2.12Conceptual Model: Integrated LED-Scene Design Framework for Immersive Theatre

Chapter THREE

RESEARCH METHODOLOGY

  • 3.1Research Design: Design-Implementation-Evaluation Mixed Methods
  • 3.2Philosophical Paradigm: Pragmatism in Creative-Technological Research
  • 3.3Population of the Study: Cast, Crew, and Audience Subgroups
  • 3.4Sample Size and Sampling Technique: Purposive and Stratified Sampling
  • 3.5Sources and Instruments of Data Collection: Observations, Interviews, Surveys, and Sensor Data
  • 3.6Validity and Reliability of Instruments: Pilot Testing and Triangulation
  • 3.7Data Analysis Methods: Quantitative, Qualitative, and Multimodal Analysis
  • 3.8Model Specification: LED-Scene State Machine and Event-Driven Processing
  • 3.9Ethical Considerations: Consent, Safety, and Data Privacy
  • 3.10Implementation Framework: Hardware-Software Architecture for LED Scenes

Chapter FOUR

DATA PRESENTATION AND ANALYSIS

  • ANALYSIS AND DISCUSSION
  • 4.1Data Presentation: System Logs, Sensor Readings, and Performance Metrics
  • 4.2Descriptive Analysis: Audience Engagement and Perceived Immersion
  • 4.3Hypotheses Testing: Effects of LED Synchronization on Narrative Comprehension
  • 4.4Hypotheses Testing: Emotional Resonance and Visual-Temporal Coherence
  • 4.5Interpretation of Results: Alignment with Immersion Theory and Prior Studies
  • 4.6Discussion of Technical Performance: Latency, Reliability, and Robustness
  • 4.7Discussion of Aesthetic Outcomes: Lighting Design, Colour Theory, and Scenic Rhythm
  • 4.8Discussion of Pedagogical and Operational Implications for Theatre Practice

Chapter FIVE

SUMMARY, CONCLUSION AND RECOMMENDATIONS

  • CONCLUSION AND RECOMMENDATIONS
  • 5.1Summary of Findings: Creation, Deployment, and Assessment of LED Scenes
  • 5.2Conclusions: Theoretical and Practical Implications for Immersive Theatre
  • 5.3Contributions to Knowledge: Design Framework and Evaluation Metrics
  • 5.4Recommendations for Practice: Standards, Workflows, and Toolchains
  • 5.5Suggestions for Future Studies: Extended Genres, Technologies, and Longitudinal Research

Thesis Abstract

The emergence of immersive theatre demands dynamic, responsive stage technologies that seamlessly integrate visual storytelling with audience perception; however, there remains a gap in systematic design, deployment, and evaluative frameworks for interactive LED scenes that can be reliably replicated across productions. This study addresses the problem by proposing a design–deploy–assess methodology that mediates between artistic intent and technological feasibility, ensuring that LED-scene interventions enhance narrative immersion while maintaining performance reliability. The aim is to develop a coherent framework for interactive LED-scene design in immersive theatre, accompanied by an empirically grounded evaluation of its aesthetic and functional impact. Specific objectives are (1) to design an interactive LED-scene system that responds to actor cues and audience engagement metrics; (2) to implement the system in two staged performances across distinct venues to test adaptability and reliability; (3) to evaluate perceptual immersion, emotional engagement, and perceived realism among audience members using mixed methods; (4) to assess production workflow, technical reliability, and scalability for professional theatre practice; and (5) to formulate a replicable set of design guidelines and evaluation metrics for future productions. The study adopts a mixed-methods research design grounded in design research and performance studies paradigms, drawing on pragmatism to integrate creative practice with empirical evaluation. The population includes professional theatre practitioners, technical designers, and adult audience members participating in two live performances featuring the LED-scene system. A purposeful sample of 12 production staff (including lighting designers, programmers, and stage managers) and 120 audience members per performance (total N = 240) will be recruited, with stratified sampling to ensure representation across age, prior theatre experience, and technological familiarity. Data collection instruments comprise (a) a structured technical diary and system log to capture uptime, latency, and fault rates; (b) a validated immersion questionnaire (e.g., the Immersive Experience Scale) and the Positive and Negative Affect Schedule (PANAS) to measure perceptual immersion and emotional response; (c) semi-structured interviews with designers and performers to explore design decisions, perceived limitations, and aesthetic impact; (d) a performer-cue alignment rubric to evaluate synchrony between actor inputs and LED responses; and (e) observational checklists and video recordings for qualitative coding of interaction patterns. The data analysis plan includes (i) descriptive statistics and reliability analysis for instrument scales; (ii) regression analysis to examine relationships between system latency, cue accuracy, and immersion scores; (iii) ANOVA to compare immersion and engagement across venues and audience demographics; (iv) thematic analysis of interview transcripts and field notes to extract design rationales and operational challenges; and (v) a content analysis of performance footage to triangulate observed synchrony with quantitative measures. A lightweight operational model will be specified to describe the interaction workflow, incorporating nodes for actor input, LED processing, projection mapping, and environmental sensors. Ethical considerations include informed consent, data anonymization, and compliance with venue safety and data protection standards. Expected findings include (a) a demonstrable positive effect of well-timed, high-fidelity LED interactivity on reported immersion and emotional engagement; (b) identification of critical latency thresholds and cue-synchronization requirements for naturalistic audience–actor interaction; (c) robust design guidelines for modular LED-scene architectures that support rapid adaptation to different productions and venues; and (d) a practical framework for evaluating immersive technologies in theatre that integrates artistic goals with measurable performance metrics. The study contributes to knowledge by bridging design theory, human–machine interaction, and applied theatre practice, offering a replicable framework for interactive scenography and a validated measurement toolkit for immersive theatre evaluation. The main conclusion posits that carefully orchestrated LED interactivity, grounded in transparent design decisions and rigorous evaluation, significantly enhances perceptual immersion without compromising performance reliability. Recommendations include adopting modular hardware and middleware for scalable deployment, refining latency budgets through actor–system rehearsal protocols, and extending the evaluative framework to incorporate longitudinal audience studies and cross-genre analyses.

Thesis Overview

This research investigates how interactive LED scenes can enhance immersive theatre by designing, deploying, and evaluating stage lighting and visuals that respond in real time to performers and audience input. It blends theatre practice with interactive media technology to create more engaging, believable, and responsive storytelling environments. Why it matters: Immersive theatre relies on the audience’s sense of presence and emotional engagement. Traditional lighting and projection often lag behind dynamic performances. By integrating interactive LED scenes, productions can adapt lighting, color, intensity, and motion to cues from performers, sound, or audience actions, creating a more cohesive and persuasive narrative experience. Problem or knowledge gap: While there are advances in stage automation and interactive media, there is limited systematic research on the end-to-end process of designing interactive LED scenes for live theatre, from concept to deployment to evaluation. Key gaps include how to translate dramaturgical goals into real-time LED control schemes, how to ensure reliability in a live venue, and how to measure impact on audience immersion and performer workflow. What the researcher will do (step by step): 1. Define performance contexts and dramaturgical goals for an exemplar immersive theatre piece. 2. Design an interaction model that maps cues (from performers, sound, and audience) to LED scene parameters (color, brightness, motion, mapping to projections). 3. Develop a hardware-software pipeline using commercially available LED panels, microcontrollers/edge devices, and a central control system. 4. Implement prototypes in a controlled studio setting, then deploy in a rehearsal theatre with a live performance schedule. 5. Collect data using mixed methods: quantitative measures (response time of LEDs, reliability metrics, audience physiological responses) and qualitative feedback (performer and audience interviews, post-show questionnaires). 6. Analyze data with appropriate techniques: regression analysis for response correlations, ANOVA for comparing conditions, thematic analysis for interview data. 7. Iterate the design based on findings and re-evaluate. Expected contribution: The study will provide a validated framework for designing, implementing, and evaluating interactive LED scenes in immersive theatre, including a practical pipeline, performance and reliability benchmarks, and a model linking dramaturgical aims to technical parameters. Outcome: A replicable design-and-evaluation approach, a set of guidelines for theatre practitioners, and evidence on how interactive LED scenes influence audience immersion and performer workflow.

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