Attention, motivation, learning and decision-making.
A working volume · 2026
Vipindev
Systems · minds · making
Chapter II · Research
Chapter II · Inquiry
Intelligence looks different from either side of the interface.
The inquiry moves between human cognition and artificial systems, asking what each can reveal about the other.
II
II.1
Research interests
Three connected lenses
One inquiry, seen through three lenses.
Systems that interpret context while preserving agency.
What cognitive and neural models can offer AI.
II.2
Learning & foundations
Formal foundation · Incoming
M.Tech in Generative AI & Data Science
Indian Institute of Technology Jammu
The programme will strengthen the mathematical, computational and experimental foundations behind the inquiry: machine learning, generative AI, data science and research methods.
Independent reading and question-framing form the starting point.
II.3
A working method
A working method
Move from observation to something answerable.
Observe
Find a behaviour worth explaining.
Model
Make the assumption visible.
Test
Try to prove the idea wrong.
Translate
Return the learning to people.
II.4
Questions in progress
Questions in progress · 01—02
RQ 01Human agency
Context without lost agency
How can intelligent systems use behavioural context without weakening human agency?context · adaptation · agency
RQ 02NeuroAI
Lessons from human intelligence
What can cognitive science and neuroscience teach us about artificial intelligence?cognition · neuroscience · computation
II.5
Questions in progress
Questions in progress · 03—04
RQ 03Adaptive systems
Software that meets different minds
How can software adapt to differences in attention, motivation and learning?learning · attention · personalisation
RQ 04Behavioural evidence
Evidence in product decisions
Which behavioural evidence should shape intelligent product decisions?behaviour · experimentation · product design
II.6
The working record
The working record · Now
Begin with questions that can become more precise.
The work is currently focused on reading, question formation and connecting research methods to systems I can build and evaluate.
II.7
Research exchange
Research exchange
Bring a method, a disagreement or a better question.
I welcome literature guidance, method critique and small pilot ideas from researchers or builders working across cognition, behaviour, adaptive systems and human–AI interaction.
Start a research conversation ↗→ Continue to Writing
II.8
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