| --- |
| license: cc-by-4.0 |
| task_categories: |
| - text-classification |
| language: |
| - en |
| tags: |
| - human-ai-interaction |
| - memory-architecture |
| - continuity-burden |
| - affective-computing |
| - longitudinal-case-study |
| - CAMA |
| pretty_name: "CAMA Continuity Burden Dataset" |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # CAMA Continuity Burden Dataset |
|
|
| ## Overview |
|
|
| This dataset provides aggregate research outputs from the **Circular Associative Memory Architecture (CAMA)** research program — a four-paper series investigating emotionally-indexed persistent memory for human-AI interaction. |
|
|
| The central finding is the introduction and preliminary quantification of **continuity burden**: the communicative effort humans expend re-establishing context when interacting with memoryless AI systems. |
|
|
| ## Key Findings |
|
|
| - **Continuity reference rate**: 4.8 per 1,000 messages (320 references across 66,380 messages in 825 conversations) |
| - **Scaling relationship**: Continuity references significantly increase with conversation length (R² = 0.381, p < 0.001) |
| - 2.1% of conversations under 10 messages contain continuity references |
| - 59.3% of conversations over 200 messages contain continuity references |
| - **Category distribution**: Frustration markers dominate (56.6%), followed by context restoration (18.8%), re-explanation (15.9%), and temporal references (8.8%) |
| - **Temporal decline**: Continuity reference rate peaked at 17.7 per 1,000 in February 2025, declining to 2.7–2.9 by late 2025, consistent with user adaptation |
| - **CAMA coverage**: 52,602 emotionally annotated memories with 99.98% affect coverage |
|
|
| ## Dataset Contents |
|
|
| | File | Description | |
| |------|-------------| |
| | `paper4_stats.json` | Complete continuity burden analysis: reference counts, category breakdown, monthly rates, regression results, sample references | |
| | `emergent_retention.json` | Analysis of AI behavioral retention indicators across 23,733 assistant messages | |
| | `phase1_summary.json` | Descriptive statistics of the CAMA memory database | |
| | `phase2_findings.json` | Comparative analysis between CAMA and pre-CAMA conditions | |
| | `phase3_findings.json` | Architectural gap analysis including temporal coverage and inference confirmation | |
|
|
| ## Important Limitations |
|
|
| - **Single-participant longitudinal case study (n=1)** — findings cannot be generalized |
| - Participant is the system designer, creating confounds |
| - Continuity reference detection uses keyword matching without inter-rater reliability validation |
| - Pre-CAMA and post-CAMA conditions overlap temporally; the distinction is architectural |
| - All findings are exploratory and require multi-participant replication |
|
|
| ## Research Papers |
|
|
| This dataset supports the following published preprints: |
|
|
| | Paper | Title | DOI | |
| |-------|-------|-----| |
| | 1 | Circular Associative Memory Architecture | [10.5281/zenodo.19051834](https://doi.org/10.5281/zenodo.19051834) | |
| | 2 | Implementing Emotionally-Keyed Memory Retrieval in LLM Interfaces | [10.5281/zenodo.19052129](https://doi.org/10.5281/zenodo.19052129) | |
| | 3 | CAMA Implementation and Functional Evaluation | [10.5281/zenodo.19192984](https://doi.org/10.5281/zenodo.19192984) | |
| | 4 | Continuity Burden in Longitudinal Human-AI Interaction | [10.5281/zenodo.19226509](https://doi.org/10.5281/zenodo.19226509) | |
|
|
| ## Source Code |
|
|
| The CAMA architecture is open source: [github.com/LoriensLibrary/cama](https://github.com/LoriensLibrary/cama) |
|
|
| ## Author |
|
|
| **Angela Reinhold** |
| - Lorien's Library LLC | Full Sail University |
| - ORCID: [0009-0005-5803-8401](https://orcid.org/0009-0005-5803-8401) |
|
|
| ## Privacy Notice |
|
|
| This dataset contains **aggregate statistics only**. No personal conversation data, message content, or identifiable information is included. Raw interaction data is excluded to protect participant privacy. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @misc{reinhold2026continuityburden, |
| author = {Reinhold, Angela}, |
| title = {Continuity Burden in Longitudinal Human-AI Interaction: An Empirical Case Study of Emotionally-Indexed Persistent Memory}, |
| year = {2026}, |
| publisher = {Zenodo}, |
| doi = {10.5281/zenodo.19226509} |
| } |
| ``` |
|
|
