Abstract
To solve problems, people tend to add new components to them rather than subtract from them. Across eight experimental and naturalistic studies, we examined if more additive (to start something new or do more) than subtractive advice (to stop or do less) is given when humans and artificial intelligence give mental health advice. Compared to subtractive advice, additive advice was recommended more frequently and was rated as more effective and feasible. Several moderators of this effect are explored: Older people are more additive than younger people, who we are advising (e.g., strangers/friends) matters, as does the type of pre-existing mental health-affecting activities (e.g., gambling versus avoiding exercise). People overlook subtractive advice when advising others and instead tell them to do more. Future research must explore the contribution of this additive advice bias to people's sense of being overwhelmed.
| Original language | English |
|---|---|
| Article number | 128 |
| Journal | Communications Psychology |
| Volume | 3 |
| Issue number | 1 |
| Early online date | 20 Aug 2025 |
| DOIs | |
| Publication status | Published - 20 Aug 2025 |
Data Availability Statement
All data are available here https://osf.io/edh8q/.Acknowledgements
The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript. This work was supported through the volunteer work of students from the University of Bath and University of Hong Kong: Jhalak Sheth, Paige Stephens, Mattias Weedman, Isabel Castelow, Mia Beastall, Roxsanne Patel and Mia Hazeltine.Funding
This research was supported by the Research Promotion Fund of the Department of Psychology, University of Bath.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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