Attention and contemplative practice
Investigate attention, stillness, and reflective experience through defined tasks, participant reports, and physiological observations. Treat descriptions of practice as evidence to understand in context.
Research vertical 03 / ManasAIConsciousness-based
Consciousness-based
research.
Human experience belongs at the centre of the science.
We connect inquiry into attention, awareness, and reflective experience with cognitive science, computational methods, and Indic traditions. Our research partner in this vertical is CPCSci—the Center for Philosophical and Cognitive Sciences at ISS Delhi.
MANASAI / RESEARCH 03CONCEPTUAL VIEW
The research question
How can we study experience without reducing it to a score?
First-person reports and physiological observations offer different kinds of evidence. We are interested in study designs that bring them into dialogue: how attention changes, how people describe practice, and how interpretation shapes what technology can responsibly say about wellbeing.
Consciousness research partnerCPCSci↗
Center for Philosophical
and Cognitive Sciences
A meeting point for
mind, matter, and meaning.
CPCSci at the Institute for Science and Spirituality, Delhi brings philosophical, empirical, and computational inquiry together across cognition, consciousness, complex systems, and wellbeing.
Our partnership connects ManasAI’s applied research direction with this interdisciplinary setting for studying attention, awareness, and human experience.
Explore CPCSci ↗What we investigateThree connected
Three connected
research directions.
Questions guiding this vertical and its contribution to intelligence for inner wellbeing.
Mind, meaning, and models
Engage with philosophical and cognitive accounts of perception, awareness, and agency. Use formal models to make assumptions explicit and empirical methods to examine the questions those assumptions generate.
Ethics of mediated experience
Examine how AI-generated interpretations and feedback influence the meaning people assign to their experience. Preserve room for reflection, disagreement, and individual agency.
How we approach it
Different forms of evidence. Shared questions.
Ask
Develop a precise question with researchers and practitioners.
Listen
Gather contextualised accounts of participants’ experience.
Observe
Collect physiological and behavioural observations with consent.
Interpret
Compare evidence, examine assumptions, and state the limits.
Research that informs the directionIdeas with
Ideas with
a published trail.
Selected work by our scientific lead and collaborators. Each paper is credited to its authors; publication status is shown alongside the source.
Beyond alignment: representational ethics and the governance of constructed worlds
A framework for examining how AI shapes meaning and experience. It extends ethical analysis from observable behaviour to the representations through which people understand and act in the world.
Design implication: assess how feedback frames experience and affects agency, as well as whether a model’s output is accurate.
Read author manuscriptEmergent non-classical probabilistic structure in large language models under contextual modulations
An investigation of context-sensitive probability judgements in six open-weight language models. The reported departures from classical probability vary by model; they do not establish a universal quantum signature.
Research implication: evaluate consistency, framing, and question-order effects alongside answer accuracy.
Read published articleThese works inform the research agenda. They do not constitute validation of SakshiSense hardware or wellness outcomes.
Connection to inner wellbeing
Intelligence in service of inner wellbeing.
This work informs how we study stress, attention, and meditation—and how we communicate the results. It encourages feedback that supports understanding while recognising that a physiological signal is only one part of a person’s experience.
Explore the wellness platform ↗Research with ManasAI
Discuss a research collaboration ↗Explore a shared research question.
We welcome collaborations across cognitive science, contemplative studies, philosophy, and responsible AI.