Technical Overview of the AWE-S Journal and Assessment Tool

AWE-S Assessment and Experience Journal — Last updated: 2026

1. Overview

The AWE-S Journal and Assessment Tool is a web-based platform designed to facilitate structured journaling and assessment of awe experiences using the validated Awe Experience Scale (AWE-S).

The platform allows individuals to document an experience, complete the 30-item AWE-S questionnaire, and receive an automatically calculated multidimensional profile presented through the Zamin Awe Diagram.

The system is designed to support both personal reflection and potential research use.

2. Questionnaire Implementation

The tool implements the full 30-item Awe Experience Scale (AWE-S), developed by Yaden, Keltner, and colleagues and validated across two large independent samples.

The system calculates scores for the six validated AWE-S dimensions:

It also computes three interpretive meta-clusters based on patterns identified in awe research:

All scores are calculated automatically based on user responses using the standard AWE-S scoring methodology: each factor score is the mean of its five items, rated on a 7-point scale from Strongly Disagree to Strongly Agree.

3. The Zamin Awe Diagram

The platform generates a proprietary visualization of the user's awe profile called the Zamin Awe Diagram.

The diagram presents two concentric rings:

Within each section, seven concentric bands represent the seven points of the rating scale. Bands fill from the inside outward in proportion to the score. A score of 4 out of 7 fills the innermost four bands; a score of 6.5 fills six bands and half of the seventh.

The diagram is interactive: hovering over any section reveals the factor name, score, intensity level, and a plain-language description of what that dimension means.

The Zamin Awe Diagram is a proprietary visualization method. All rights reserved.

4. User Interaction Flow

The platform supports authenticated use only.

Users create a secure account to:

5. Scoring and Interpretation

The scoring system automatically:

Results are presented in two formats: a structured profile page with numerical scores and written descriptions, and an immersive visualization page featuring the Zamin Awe Diagram.

6. Privacy and Data Handling

Privacy was a primary design consideration.

Key design features include:

7. Research Applications

The platform can support research environments.

Potential features include:

These capabilities allow the tool to function as a structured digital data collection interface for AWE-S responses.

8. Accessibility

The system is accessible via standard web browsers and does not require installation.

It is optimized for:

9. Contact

For technical inquiries: info@maudconsulting.com