Evaluating mental health apps under uncertainty: a decision-support framework integrating linguistic distributions, disappointment theory, and double normalization-based multi-aggregation
Abstract Despite the proliferation of mental health apps (MHAs), their evaluation remains challenging due to inconsistent clinical validity, poor long-term engagement, and limited consideration of expert disagreement. Existing evaluations often use single-point scores or star ratings for decision-ma...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer Nature
2025-08-01
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| Series: | Humanities & Social Sciences Communications |
| Online Access: | https://doi.org/10.1057/s41599-025-05625-x |
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