AI RESEARCH ANALYSIS
From Competition to Collaborative Smelling: Navigating the Olfactory Gap in Human-AI Interaction
This research introduces Smell with Genji, an AI-mediated olfactory experience that adapts the traditional Japanese Genji-kō game. It shifts from a competition-oriented AI model to a partnership model, where AI acts as a co-smelling partner. Leveraging LLMs, the system facilitates structured comparison and articulation of subjective scent experiences, addressing the olfactory-verbal gap in HCI. Pilot studies suggest the partnership model fosters more sustained articulation and reflection among users.
Key Research Impact
This research provides foundational insights into collaborative human-AI sensory experiences, with implications for future interactive systems.
0
Pilot Studies Conducted
0
Participants
0
Minutes Session Time
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
Methodology Overview
Genji-kō Adaptation
AI Partner Role
The research transitions from a Competition Model, focused on AI benchmarks, to a Partnership Model where AI acts as a co-smelling collaborator. This shift was motivated by technical constraints like sensing latency and limited accuracy, leading to a reinterpretation of AI's role in facilitating subjective sensory interpretation.
The traditional Japanese Genji-kō game involves sequentially 'listening to' five incense scents and identifying identical or distinct ones. This ritualistic structure is adapted as a research probe to facilitate structured comparison and articulation of scent judgments, mapping them to symbolic visual patterns called Genji-mon.
In the Partnership Model, AI serves as a co-smelling partner. It uses Large Language Models (LLMs) to provide data-informed interpretations and engage in dialogue, compensating for sensing latency. This approach encourages users to reflect on their olfactory perception collaboratively.
40%
Classification accuracy (Competition Model)
AI Co-smelling Partner Flow
Capture Gas Signals
→
Classify Scents (Transformer)
→
Interpret Signals (LLM)
→
Generate Dialogue
→
Support Reflection
| Feature | Competition Model | Partnership Model |
|---|---|---|
| AI Role | Benchmark, Identifier | Co-smelling Partner |
| Primary Goal | Correctness, Accuracy | Articulation, Reflection |
| Sensing Latency | Barrier | Integrated via Dialogue |
| User Experience | Disrupted rhythm | Sustained engagement |
Pilot Study 1 Findings
Novice participants adapted to the visual interpretation of Genji-mon patterns. They reported that the patterns provided a helpful structure for externalizing complex sensory data. This suggested the Genji-kō framework could support novices in organizing and communicating comparative scent judgments.
Calculate Your Potential AI ROI
See how integrating advanced AI solutions can transform your operational efficiency and financial outcomes.
Projected Annual Savings
$0
Hours Reclaimed Annually
0
Your AI Implementation Roadmap
A structured approach ensures successful AI integration and measurable results.
Phase 1: Discovery & Strategy
Comprehensive analysis of your current operations, identification of AI opportunities, and development of a tailored strategy.
Phase 2: Pilot & Proof of Concept
Deployment of a small-scale AI solution to validate its effectiveness and gather initial performance data within your environment.
Phase 3: Scaled Integration
Full integration of the AI solution across relevant departments, ensuring seamless workflow adoption and optimization.
Phase 4: Optimization & Monitoring
Continuous monitoring, performance tuning, and iterative improvements to maximize long-term ROI and adapt to evolving needs.
Ready to Transform Your Enterprise?
Our experts are ready to guide you through the AI adoption journey. Book a free consultation today.
Ready to Get Started?
Book Your Free Consultation.
Let's Discuss Your AI Strategy!
Lets Discuss Your Needs
Select a Date
Sun
Mon
Tue
Wed
Thu
Fri
Sat