Research & Scientific Foundation

Life Map AI is an ongoing interdisciplinary research project at the intersection of psychology, digital mental health, visual cognition, human-computer interaction and artificial intelligence. It explores Interactive Inner World Mapping as a methodology for Visual Self-Reflection: users place relationships, goals, fears, hopes, values and life priorities as objects on a living map that evolves over time.

Existing digital self-reflection tools are largely built on journals, mood trackers, chat interfaces and questionnaires. These formats rarely let users see the relationships between emotions, goals, memories, people and values as one evolving system. The project asks whether spatial visualization, combined with AI-supported reflective questioning, can support self-awareness in ways text-only interfaces cannot. AI asks gentle reflective questions based on user-created content; it does not interpret symbols as facts.

1. 01Can visual mapping improve self-reflection?
2. 02Does spatial organization increase awareness of life priorities?
3. 03Can Interactive Inner World Mapping improve recognition of emotional patterns?
4. 04How does visual reflection compare with traditional journaling?
5. 05Can AI-supported reflective dialogue increase user engagement?
6. 06How do interactive life maps evolve over time?

Life Map AI is also inspired by established psychological approaches:

• Cognitive Behavioral Therapy — understanding thoughts, feelings and behaviors
• Socratic questioning — guided self-discovery through questions
• Narrative therapy — exploring personal stories and meanings
• Art therapy — expressing inner experience through visual media
• Jungian symbolic work — engaging with symbols and archetypes
• Moreno's sociometry — mapping relationships and social configurations
• Motivational Interviewing — evoking change talk and self-motivation
• Acceptance and Commitment Therapy — clarifying values and committed action

Planned and ongoing research methods:

• User feedback and iterative design
• Qualitative interviews about the mapping experience
• Usability testing with diverse populations
• Self-reflection reports and usage patterns
• Anonymous aggregated insights (privacy-preserving)
• Academic evaluation and peer review

Methodology roadmap

1. Concept

2. Prototype

   Current stage

3. Pilot Study

4. Usability Study

5. Academic Collaboration

6. Peer-reviewed Publication

The International Pilot Study 2026 is the first structured data collection stage: participants build a map, answer short reflection questions and complete baseline and follow-up measures. Participation is voluntary, consent-based and can be withdrawn at any time.

Read the International Pilot Study 2026 overview or the Pilot Study FAQ.

No findings are published yet. Results from the pilot study will be reported in the Publications library once data collection and analysis are complete.

• The proposed methodology is a research hypothesis and has not been empirically validated.
• No controlled trial, control group or clinical outcome measurement has been conducted.
• Pilot participants are self-selected, which limits generalizability.
• Self-reported reflection data is subjective and may be affected by response bias.
• AI-generated reflective questions are probabilistic and can be inaccurate or irrelevant.
• The product is a prototype; findings should be read as exploratory, not conclusive.

• Life Map AI does not diagnose
• Life Map AI does not provide treatment
• Life Map AI does not replace psychologists
• Life Map AI does not make clinical decisions

AI output is always presented as a question or a suggestion that the person can accept, edit or reject. Interpretation stays with the user, and the study is supervised by a qualified social worker. Clinical validation is outside the scope of the current prototype.

• Articles — In preparation
• Research notes — In preparation
• Academic presentations — Planned
• Student testing — Ongoing
• Future publications — Planned

Featured working paper: What Is Interactive Inner World Mapping? — a conceptual framework for Visual Self-Reflection. The full list of articles, working papers and methodology notes is in the Life Map AI Publications library.

Life Map AI is an independent research initiative and is open to academic collaboration in: pilot studies, usability research, academic research, scientific discussion, student research projects, conference presentations, future publications.

• Universities
• Psychology Researchers
• Digital Mental Health Researchers
• Pilot Study Partners

1. [1]Bandura, A. (1997). Self-efficacy: The exercise of control. W. H. Freeman.
2. [2]Bruner, J. (1990). Acts of meaning. Harvard University Press.
3. [3]McAdams, D. P. (2001). The psychology of life stories. Review of General Psychology, 5(2), 100–122.
4. [4]Kahneman, D. (2011). Thinking, fast and slow. Farrar, Straus and Giroux.
5. [5]Norman, D. A. (1993). Things that make us smart: Defending human attributes in the age of the machine. Addison-Wesley.
6. [6]Clark, A. (2008). Supersizing the mind: Embodiment, action, and cognitive extension. Oxford University Press.
7. [7]Heath, C., & Heath, D. (2010). Switch: How to change things when change is hard. Broadway Books.
8. [8]Torous, J., et al. (2021). The growing field of digital psychiatry: current evidence and the future. World Psychiatry, 20(3), 318–335.
9. [9]Smith, K. A., et al. (2023). Digital mental health interventions: A systematic review. Nature Mental Health, 1, 12–28.
10. [10]Hopkin, G., et al. (2022). Evaluating digital mental health tools: Framework and considerations. JMIR Mental Health, 9(4).
11. [11]Recent reviews in Digital Mental Health (2022–2025). Various journals.

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