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. 2025 Feb 28;13:e62758. doi: 10.2196/62758

Table 3.

Computational considerations of mental health CAsa for youth (N=39).

Dimensions and codes Value, n (%) Key trends
System characteristics Most of the mental health CAs were prototypes built upon existing mobile chat apps

Maturity of device


Prototype 26 (67)


Fully functioning system 7 (18)


Existing system 8 (20)


Concept 1 (3)

Delivery channel


Mobile 16 (41)


Web 11 (28)


Desktop 6 (15)
Communication mode All CAs supported text-based input (free text along with quick options) with a few that supported voice input; all supported textual output, with many of them supporting visualized output such as image and video

Input mode


Text 39 (100)


Text+speech 2 (5)


Free text+options 19 (49)


Free text 13 (33)


Quick options 5 (13)

Output mode


Text 39 (100)


Image 21 (54)


Video 12 (31)


Audio 7 (18)


Game 6 (15)

AIb technique Free-textual inputs were processed via NLPc, while prewritten content was delivered via rule-based programming


NLP 19 (49)


Rule based 15 (38)

Content delivery Most mental health content was delivered in flexible ways; in some cases, prewritten content was delivered in a structured manner


Flexible 25 (64)


Structured 8 (20)


Semistructured 3 (8)

Knowledge base Mental health content was built upon evidence-based expert knowledge of cognitive and behavioral therapy and positive psychology


CBTd 19 (49)


Positive psychology 7 (18)


Other therapeutic content 7 (18)


Clinical expert knowledge 6 (15)

aCA: conversational agent.

bAI: artificial intelligence.

cNLP: natural language processing.

dCBT: cognitive behavioral therapy.