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NCT Number: NCT07611071

AI-Integrated Emotional Granularity Training for Resilience and Quality of Life in Colorectal Cancer Survivors

The goal of this clinical trial is to evaluate an AI-integrated Emotional Granularity Growth intervention (AI-EGG) designed to enhance resilience and improve quality of life in young and middle-aged colorectal cancer (CRC) survivors. Emotional granularity refers to the ability to clearly identify and differentiate subtle emotional experiences, which may help individuals regulate emotions more effectively and build resilience after cancer treatment.

The main questions it aims to answer are:

* Does the AI-EGG intervention improve resilience in CRC survivors compared with routine psychological care? * Does the intervention improve emotional granularity, emotion regulation ability, and quality of life? * Is the AI-EGG intervention feasible and acceptable for young and middle-aged CRC survivors?

Researchers will compare the AI-EGG intervention group to a control group receiving routine psychological care and standard educational materials to see whether the intervention leads to better psychological outcomes.

Participants will:

* Complete baseline assessments measuring emotional granularity, emotion regulation, resilience, and quality of life * Be randomly assigned to either the intervention group or the control group * In the intervention group, engage in a 4-week AI chatbot-based program focusing on emotional identification, differentiation, regulation, and reflective practice (at least two sessions per week) * In the control group, receive routine psychological care and standard educational materials * Complete post-intervention assessments immediately after the 4-week program and again at a 1-month follow-up * Some participants in the intervention group will be invited to complete interviews about their experience of the program

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Key information

Conditions

Colorectal Cancer (CRC) Behavior Colonic Diseases Colorectal Neoplasms Digestive System Diseases Digestive System Neoplasms Emotional Regulation Gastrointestinal Diseases Gastrointestinal Neoplasms Intestinal Diseases Intestinal Neoplasms Neoplasms Neoplasms by Site Rectal Diseases Self-Control Social Behavior

Age range

18 year–60 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Kunshan First People's Hospital Affiliated to Jiangsu University, Kunshan, Jiangsu, China

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About this study

This study is a randomized controlled trial designed to evaluate the feasibility, acceptability, and preliminary effectiveness of an AI-integrated Emotional Granularity Growth intervention (AI-EGG) in improving resilience, quality of life emotional granularity and emotion regulation among young and middle-aged colorectal cancer (CRC) survivors.

CRC survivors in early and middle adulthood often experience persistent psychological adaptation difficulties after completion of primary treatment, even when clinical disease is stable. These difficulties include reduced resilience, impaired emotion regulation, and decreased quality of life. Emotional processes are considered central to post-treatment psychological adaptation, and resilience is conceptualized as a key psychosocial outcome reflecting individuals' ability to adapt to cancer-related adversity.

Emotion regulation is an important determinant of resilience; however, existing interventions typically focus on general emotion regulation strategies without directly targeting the individual's ability to differentiate and label emotional experiences. Emotional granularity, defined as the ability to distinguish and accurately label discrete emotional states, is proposed as a cognitive-affective mechanism that may enhance emotion regulation effectiveness and thereby support resilience.

The AI-EGG intervention is developed based on this theoretical framework and is delivered via an online chatbot platform. The intervention is structured as a 4-week program that provides guided, interactive training in emotional granularity. The chatbot system delivers standardized yet interactive modules focusing on emotional identification, emotional differentiation, emotion regulation, and reflective emotional processing. Participants are encouraged to engage with the system at least twice per week, with additional voluntary engagement supported by the platform.

The study adopts a parallel-group randomized controlled design. Participants are randomly assigned to either the AI-EGG intervention group or a control group receiving routine psychological care and standard educational materials. The intervention is delivered remotely through a mobile-based chatbot system, enabling flexible and repeated engagement in real-life contexts.

Outcome assessments are conducted at baseline, immediately after the 4-week intervention period, and at 1-month follow-up. These assessments evaluate changes in emotional granularity, emotion regulation, resilience, and quality of life over time.

In addition to quantitative evaluation, a qualitative component is conducted among a purposively selected subset of participants in the intervention group. Semi-structured interviews are used to explore participants' experiences of using the AI-EGG system, perceived changes in emotional granularity and resilience, engagement patterns, and perceived acceptability of the intervention.

Overall, this study aims to provide preliminary evidence on whether an AI-based emotional granularity training program can improve emotional granularity and support resilience in CRC survivors, and to inform the development of scalable digital psychosocial interventions in oncology care.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • (1) young and middle-aged adult patients (age in the range of 18-60 years);
  • (2) patients diagnosed with CRC;
  • (3) patients have completed primary curative-intent treatment for colorectal cancer, and are currently in a stable post-treatment or maintenance phase of care without evidence of active disease progression or acute treatment-related instability;
  • (4) patients able to use a smartphone and agree to participate in the study.

Exclusion criteria

  • (1) patients who have been informed of their cancer diagnosis due to family decision to withhold information;
  • (2) patients suffering from severe comorbidities or conditions that may affect participation or assessment, such as significant cognitive impairment (e.g., dementia, severe memory loss), psychiatric disorders, or other serious medical complications;
  • (3) those who are participating in other psychological intervention studies.

Treatment and study plan

Emotional granularity training

Other

The 4-week Emotional Granularity Growth intervention (AI-EGG) will be delivered via a structured mobile-based digital platform based on emotional granularity theory and Gross's Extended Process Model of Emotion Regulation.

The intervention includes four modules: (1) emotional identification and labeling, (2) emotional differentiation training, (3) emotion regulation strategy selection, and (4) implementation and reflective adaptation.

Each session follows a cycle of emotional diary recording, labeling, feedback on emotional differentiation, and practice of regulation strategies. Participants are encouraged to complete at least two sessions per week.

Predefined emotional categories and structured vocabulary support consistent labeling. Culturally adapted scenarios for young and middle-aged CRC survivors are included. Oncology nurses provide support, including clarification of emotional concepts, guidance on real-life application, and referral when needed

Other names: AI-Integrated Emotional Granularity Growth (AI-EGG)

Routine care

Other

Routine psychological care will be provided by oncology nurses, along with standard educational materials on symptom management and basic emotional coping strategies consistent with clinical guidelines. Participants will also complete the online questionnaires for outcome assessment.

Primary outcomes

  1. Recruitment Rate

    Time frame: During the recruitment period, up to 1 months

    Recruitment rate will be defined as the proportion of eligible participants who consent to participate in the study.

  2. Retention Rate

    Time frame: Immediately post-intervention at 4 weeks

    Retention rate will be defined as the proportion of enrolled participants who complete follow-up assessments at T1

  3. Adherence to the AI-Integrated Emotional Granularity Growth (AI-EGG) Program

    Time frame: Immediately post-intervention at 4 weeks

    Adherence will be defined as the proportion of retained participants who complete all core intervention modules and at least 70% of Ecological Momentary Assessment (EMA) entries during the intervention period.

  4. Feasibility of Outcome Assessment

    Time frame: Immediately post-intervention at 4 weeks and 1-month post-intervention follow-up

    Feasibility of outcome assessment will be evaluated based on the proportion of retained participants who successfully complete all required outcome assessments and follow-up interviews at T1 and T2.

  5. Ecological Momentary Assessment (EMA) Completion Rate

    Time frame: During the 4-week intervention period

    EMA completion rate will be assessed as the proportion of completed EMA entries relative to the total number of expected EMA prompts during the intervention period.

  6. System Usability as Measured by the System Usability Scale (SUS)

    Time frame: Immediately post-intervention at 4 weeks

    The System Usability Scale (SUS) is a 10-item questionnaire assessing perceived usability of the intervention platform. Total scores range from 0 to 100, with higher scores indicating better usability.

Secondary outcomes

  1. Resilience Measured by the Chinese Version of the 10-item Connor-Davidson Resilience Scale (CD-RISC-10)

    Time frame: Baseline (T0), immediately post-intervention at 4 weeks (T1), and 1-month post-intervention follow-up (T2)

    The Chinese version of the 10-item Connor-Davidson Resilience Scale (CD-RISC-10) is a 10-item self-report questionnaire assessing psychological resilience. Each item is rated on a 5-point scale from 0 to 4. Total scores range from 0 to 40, with higher scores indicating greater resilience.

  2. Quality of life Measured by the Chinese Version of the Functional Assessment of Cancer Therapy-Colorectal (FACT-C)

    Time frame: Baseline (T0), immediately post-intervention at 4 weeks (T1), and 1-month post-intervention follow-up (T2)

    The Chinese version of the Functional Assessment of Cancer Therapy-Colorectal (FACT-C, Version 4) is a 36-item disease-specific quality-of-life questionnaire for colorectal cancer patients. Each item is rated on a 5 point Likert scale from 0 ("not at all") to 4 ("very much") over the past 7 days, with higher scores indicating better quality of life.

  3. Emotional granularity Measured by the Chinese Version of the Range and Differentiation of Emotional Experience Scale (RDEES)

    Time frame: Baseline (T0), immediately post-intervention at 4 weeks (T1), and 1-month post-intervention follow-up (T2)

    The Chinese version of the Range and Differentiation of Emotional Experience Scale (RDEES) is an 11-item self-report scale assessing emotional granularity across two domains: range of emotional experience and emotional differentiation. Total scores range from 11 to 55, with higher scores indicating greater emotional granularity.

  4. Emotion Regulation Measured by the Chinese Version of the Difficulties in Emotion Regulation Scale (DERS)

    Time frame: Baseline (T0), immediately post-intervention at 4 weeks (T1), and 1-month post-intervention follow-up (T2)

    The Chinese version of the Difficulties in Emotion Regulation Scale (DERS) is a 36-item self-report scale assessing multidimensional difficulties in emotion regulation. Total scores range from 36 to 180, with higher scores indicating greater difficulties in emotion regulation.

Other outcomes

  1. Perceived accuracy of AI emotion interpretation at T1

    Time frame: Immediately post-intervention at 4 weeks (T1)

    Perceived accuracy of AI emotion interpretation will be assessed using a 0-10 visual analogue scale completed by participants after each emotion feedback episode. Higher scores indicate greater perceived agreement between the AI-generated emotional interpretation and participants' subjective emotional experience. Scores will be summarised as mean (SD) at the participant level.

  2. Participant Acceptability of AI-Integrated Emotional Granularity Growth (AI-EGG)

    Time frame: Immediately post-intervention (T1)

    Participant acceptability, appropriateness, and perceived suitability of the intervention will be explored through semi-structured qualitative interviews conducted with a purposive subsample of intervention group participants.

Study contacts

Contact information is provided by the study sponsor or research team.

Joyce Oi Kwan Chung, PhD

CONTACT

[email protected]

852-27666322

Sponsors and collaborators

Lead sponsor

The Hong Kong Polytechnic University

Other

Collaborators

  • Kunshan First People's Hospital Affiliated to Jiangsu University
  • Second Affiliated Hospital of Soochow University
  • The First Affiliated Hospital of Soochow University

Registry information

Official study title

Development and Evaluation of an AI-Integrated Emotional Granularity Growth (AI-EGG) on Enhancing Resilience and Improving Quality of Life in Young and Middle-Aged Colorectal Cancer Survivors

Important dates

Study start
2026
Primary completion
2026
Study completion
2026
First posted
May 28, 2026
Registry last updated
Jun 4, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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