Academic Trajectory, Bottlenecks and Next Steps

-## 1. Research Agenda and Contribution Potential

One‑line summary: Moving from individual deficits to system‑level cognitive friction as a unit of analysis.

My current research programme centres on cognitive friction in large sociotechnical systems and on neurodivergent‑friendly operations as a design and organisational question rather than an individual deficit.

Concretely, I am pursuing four intertwined lines of work:

• Conceptual: Framing cognitive friction as a unit of analysis for understanding invisible cognitive labour offloaded onto workers and customers.
• Empirical: Using enterprise NPS data (N ≈ 3,000) to map friction clusters along service journeys.
• Infrastructural: Maintaining the FrictionLog protocol library and shared MindOS schema across digital tools.
• Interventional: Building protocols (Dimension Reduction, Inner Council, etc.) that redistribute friction in everyday workflows.

2. Current Methods and Data Foundation

One‑line summary: ecologically grounded data meets industry-scale service research.

My work is early, but it is not hypothetical. It rests on a concrete methodological base rooted in twelve years of frontline industry experience.

• Survey and Service‑Journey Data: An enterprise NPS-based study with ≈3,000 customers, mapped through a custom coding scheme for “cognitive friction events.”
• ND‑Led Logs and Protocols: Longitudinal logs and “protocol stories” from neurodivergent workers, recorded through a shared JSON-based schema.
• Data Infrastructure: A unified MindOS schema implemented across ER diagrams, SQL DDL, and running iOS/Obsidian prototypes.

3. Structural Hard Gaps

One‑line summary: Trading formal credentials for unusually deep operational ‘soft assets’.

From the perspective of a traditional academic committee, my profile has several hard gaps:

• No completed degree yet: Currently finishing a self‑study undergraduate degree in China.
• No peer‑reviewed publications: CHI 2026 work is currently in the draft/WiP stage.
• No institutional affiliation: Working as an independent researcher without a lab or formal recommender.

These gaps translate into risk for collaborators, as my value is stored in lived experience and running infrastructure rather than familiar institutional titles.

4. Bottlenecks in Academic Development

One‑line summary: The transition from field-based intuition to rigorous theoretical anchoring.

Beyond formal gaps, I identify three substantive bottlenecks:

1. Theoretical Anchoring: A need for systematic training in cognitive load theory, attention control, and modelling frameworks to position work within existing debates.
2. Formalisation of Argument: Moving from descriptive tool detail to the distilled argument structure expected by CHI/CSCW reviewers.
3. Collaborative Rhythm: Learning to integrate into larger lab environments and accept guidance on scope and pace.

5. Methods & Training Needs

One‑line summary: Bridging the gap between industry-scale analysis and scholar-focused writing.

My methods training did not come from a formal research degree but from industry-scale service research work. I have hands-on experience with statistics, survey design, and analysis, and have used techniques such as factor analysis and structural modelling in the context of NPS, satisfaction, and multi-level KPI structures for real platforms. This is where the cognitive friction measurement work starts: from 3,017 service experience responses, not a toy dataset.

What I lack is structured training in how to turn this analysis into CHI/CSCW-level papers:

• Framing: How to connect cognitive friction to existing HCI, privacy, and disability literatures without diluting the core question.
• Writing: How to structure papers and make arguments readable for different venues.
• Publication Practice: How to plan a pipeline of submissions and respond to reviews and rebuttals.

I am not starting from “what is factor analysis”; I am starting from “how do I make my analysis legible and convincing to top-tier reviewers.”

6. Hard Currencies to Build (next 3–5 years)

One‑line summary: Deliberately converting ‘soft’ assets into academic ‘hard’ currencies.

1. Formal Degrees: Complete my undergraduate degree and pursue a master’s in HCI or Learning Sciences.
2. Peer‑Reviewed Publications: Target at least one accepted CHI/CSCW paper that combines NPS mapping and the MindOS infrastructure.
3. Infrastructure Portability: Package the toolkit for other labs to adopt and pilot in external collaborations.
4. Formal Ties: Establish medium-term collaborations with labs working on inclusive systems or cognitive load.

7. How I See Myself in this Trajectory

One‑line summary: A framework‑driven scholar in transition.

I am an early‑stage researcher with unusually deep industry experience and self-built infrastructure, but almost no formal academic credentials yet. I am strong in problem definition and infrastructure design, and currently weak in formal institutional validation.

I do not expect committees to ignore these weaknesses. Instead, I hope this note makes it clear what is already there, what is missing, and how I plan to close the gap. sonable decision. If someone sees in this mix a line of work they care about and a person worth investing in, I am ready to do my part.