Enterprise AI Analysis: Exploring Design Spaces of Digital Platforms from an Entanglement Perspective
The Problem: Digital platforms, though indispensable, lack a robust conceptual framework for addressing ethical, cultural, and societal dimensions, especially regarding entangled realities and diverse cultural contexts. Current HCI research struggles with comprehensive analysis beyond conventional human-centered thinking, leading to missed opportunities in design and innovation. The Opportunity: This research introduces a novel conceptual framework grounded in sociomateriality, critical realism, and postphenomenology. It employs an 'imbrication metaphor' and 'annotated portfolio' method, revealing multistable affordances and hidden creativity in digital platforms, offering a versatile tool for both designing new systems and reinterpreting existing ones for entangled daily life.
Executive Impact: Key Metrics & AI Transformation Potential
Our AI-powered analysis uncovers the quantifiable impact of this research on enterprise operations, demonstrating significant improvements across critical vectors.
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Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
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Foundational Theories Integrated
Enterprise Process Flow
Identify Digital Platform
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Analyze Multistable Affordances
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Uncover Creative Possibilities
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Apply Imbrication Metaphor
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Case Study: CollectiveEyes Platform Evolution
The paper details the evolution of the CollectiveEyes platform, which started as a basic VR-goggle system for shared human perception. Through iterative design and the application of the imbrication metaphor, it evolved into Ambient CollectiveEyes (overlaying multiple viewpoints) and Posthuman CollectiveEyes (integrating non-human perspectives). This process revealed how modifying affordances, especially interaction affordances like "Embodiment" and "Hermeneutic" relations, triggered new routines and expanded the platform's design space. The framework helped reinterpret existing designs and uncover new possibilities for augmenting human perception.
Takeaway: The framework's iterative application facilitated the expansion of the platform's capabilities and the discovery of novel routines by systematically modifying affordances and exploring new bodily perceptual relations. This demonstrates its value in revealing design opportunities in HCI.
Calculate Your Potential AI ROI
Estimate the significant time and cost savings your enterprise could achieve by implementing AI solutions based on our research.
Annual Savings Potential
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Your AI Implementation Roadmap
A typical journey to integrate these advanced AI strategies into your enterprise, designed for maximum impact and minimal disruption.
Phase 1: Discovery & Strategy Alignment
Comprehensive analysis of your existing systems and business goals to tailor a precise AI strategy, leveraging insights from the latest research.
Phase 2: Prototype Development & Testing
Rapid prototyping and iterative testing of AI models, focusing on integrating multistable affordances and entanglement principles identified in the research.
Phase 3: Full-Scale Integration & Training
Seamless deployment of AI solutions across your enterprise, accompanied by extensive training to ensure optimal user adoption and proficiency.
Phase 4: Performance Monitoring & Optimization
Continuous monitoring, evaluation, and refinement of AI systems to ensure sustained performance, adapt to evolving needs, and explore new design spaces.
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