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Field
Last Published
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Before
April 06, 2026 07:58 AM
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After
April 29, 2026 03:08 AM
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Field
Experimental Design (Public)
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Before
This study will propose an intervention-based field experiment. Specifically, we will recruit chronic disease patients and randomly assign them to one of four experimental conditions: (1) Standard Care Control Group: Patients receive conventional follow-up care through routine clinical consultations during their recovery process, serving as the baseline comparator. (2) Practitioner-Generated Video Group: Practitioners create and regularly distribute health-focused short videos to patients, replacing traditional follow-up communications. (3) AI-Generated Video Group: Practitioners leverage AI video tools to generate personalized, high-fidelity digital avatars for content creation, which is then disseminated to patients. (4) AI-Co-Created Video Group: Patients actively participate in the content creation process by interacting with a video interface, enabling them to co-create AI-generated short videos with their practitioners based on individual preferences (e.g., avatar appearance, communication style). Following a one-month intervention period, we will assess specific indicators related to short-video dissemination and patient recovery.
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After
This study will propose an intervention-based field experiment. Specifically, we will recruit chronic disease patients and randomly assign them to one of three experimental conditions: (1) Standard Care Control Group: Patients receive conventional follow-up care through routine clinical consultations during their recovery process, serving as the baseline comparator. (2) AI-Generated Video Group: Practitioners leverage AI video tools to generate personalized, high-fidelity digital avatars for content creation, which is then disseminated to patients. (4) AI-Co-Created Video Group: Patients actively participate in the content creation process by interacting with a video interface, enabling them to co-create AI-generated short videos with their practitioners based on individual preferences (e.g., avatar appearance, communication style). Following a one-month intervention period, we will assess specific indicators related to short-video dissemination and patient recovery.
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Field
Planned Number of Observations
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Before
240-320 individuals.
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After
180-240 individuals.
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Field
Sample size (or number of clusters) by treatment arms
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Before
Standard Care Control Group: 60-80 individuals. Practitioner-Generated Video Group:60-80 individuals. AI-Generated Video Group: 60-80 individuals. AI-Co-Created Video Group: 60-80.
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After
Standard Care Control Group: 60-80 individuals. AI-Generated Video Group: 60-80 individuals. AI-Co-Created Video Group: 60-80.
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Field
Intervention (Hidden)
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Before
We will propose an intervention-based field experiment conducted in partnership with a major hospital in China and a leading AI technology firm. We will recruit chronic disease patients and randomly assign them to one of four experimental conditions: (1) Standard Care Control Group: Patients receive conventional follow-up care through routine clinical consultations during their recovery process, serving as the baseline comparator. (2) Practitioner-Generated Video Group: Practitioners create and regularly distribute health-focused short videos to patients, replacing traditional follow-up communications. (3) AI-Generated Video Group: Practitioners leverage AI video tools to generate personalized, high-fidelity digital avatars for content creation, which is then disseminated to patients. (4) AI-Co-Created Video Group: Patients actively participate in the content creation process by interacting with a video interface, enabling them to co-create AI-generated short videos with their practitioners based on individual preferences (e.g., avatar appearance, communication style).
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After
We will propose an intervention-based field experiment conducted in partnership with a major hospital in China and a leading AI technology firm. We will recruit chronic disease patients and randomly assign them to one of three experimental conditions: (1) Standard Care Control Group: Patients receive conventional follow-up care through routine clinical consultations during their recovery process, serving as the baseline comparator. (2) AI-Generated Video Group: Practitioners leverage AI video tools to generate personalized, high-fidelity digital avatars for content creation, which is then disseminated to patients. (4) AI-Co-Created Video Group: Patients actively participate in the content creation process by interacting with a video interface, enabling them to co-create AI-generated short videos with their practitioners based on individual preferences (e.g., avatar appearance, communication style).
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