1. Workshop Overview:
Quality of Life (WHOQOL) is a multi-dimensional, whole-person construct 
encompassing physical health, psychological state, level of independence, 
social relationships, environment, and spirituality, operationalized through 24 
facets including pain & discomfort, energy & fatigue, sleep & rest, mobility, 
activities of daily living, dependence on medication/treatment, work capacity, 
positive feelings, thinking/learning/memory/concentration, self-esteem, bodily 
image & appearance, negative feelings, personal relationships, social support, 
sexual activity, physical safety & security, home environment, financial 
resources, health & social care accessibility/quality, opportunities for 
acquiring information/skills, participation in recreation/leisure, physical 
environment (pollution/noise/traffic/climate), transport, and 
spirituality/religion/personal beliefs. Many of the most meaningful QoL 
indicators are primarily documented in unstructured clinical narratives and 
patient-generated text.
This workshop adopts a whole-person perspective and aims to bring together 
researchers, clinicians, and practitioners to advance robust, explainable, and 
clinically actionable NLP methods for extracting, modeling, and integrating QoL 
signals into real-world healthcare workflows.

2. Topics of Interest (include but are not limited to):
- NLP methods for extracting, interpreting, and predicting QoL indicators
- Functional, psychosocial, and behavioral health modeling from text
- Explainability, trustworthiness, and reasoning in clinical language models
- Annotation frameworks and evaluation metrics for subjective QoL constructs
- Patient portals, clinical messages, conversations, and longitudinal narratives
- Synthetic data generation, ontologies, knowledge graphs, and benchmarks for 
QoL
- Clinical deployment and workflow integration of QoL-focused NLP systems
- Applications: EHRs including clinical notes, social media data, patient 
narratives

3. Submission Types (original, unpublished work):
- Regular papers (8–10 pages): mature work with substantial evaluation
- Short papers (4–6 pages): innovative ideas with preliminary results
- Position papers (4–6 pages): emerging directions or critical perspectives
- Abstracts (2 pages): vision papers or work in progress
All submissions will undergo single-blind peer review. Accepted papers will be 
presented at the workshop and published in the IEEE ICHI 2026 Proceedings, 
archived in IEEE Xplore (camera-ready submission required).

4. Important Dates:
- Workshop paper submission deadline: March 15, 2026
- Notification of acceptance: March 21, 2026
- Camera-ready papers due: March 28, 2026
- Workshop date: June 1, 2026

5. Submission Link:
https://easychair.org/my2/conference?conf=ieeeichi2026 followed by cNLP4QoL 
track.
Website Link:
https://cnlp4qol.github.io/ICHI-cnlp4qol-2026/

Contact:
[email protected]
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