Digital grief technology to support bereavement: A systematic review of potential benefits and risks
Publication Type
Journal Article
Version
publishedVersion
Publication Date
5-2026
Abstract
Grief is a universal and inevitable experience. However, the way we support the bereaved is changing, especially in the digital era. This systematic review examines the potential benefits and risks associated with various digital grief technologies, including online grief support groups, generative AI chatbots, online memorials, online therapy interventions, virtual reality, and digitally reproduced visuals or audio of the deceased. A systematic search was conducted in seven databases, and 30 articles were included in the final review. Findings indicate that digital grief technologies offer several benefits, such as reductions in grief and depressive symptoms, enhanced social support, greater accessibility, and increased convenience and scalability of support. However, notable risks were identified, including emotional detachment, potential overreliance on digital interactions, trivialization of sacred bereavement practices, misrepresentation of the deceased, privacy violations, and data security concerns. This review provides critical insights and an overview for professionals and institutions to consider when integrating digital grief technology into bereavement care.
Keywords
Artificial intelligence, Bereavement, Digital afterlife, Digital grief technology, Griefbots, Thanatechnology
Discipline
Applied Behavior Analysis | Artificial Intelligence and Robotics | Social Psychology
Research Areas
Psychology
Areas of Excellence
Digital transformation
Publication
Computers in Human Behavior Reports
Volume
22
First Page
1
Last Page
10
ISSN
2451-9588
Identifier
https://doi.org/10.1016/j.chbr.2026.101148
Publisher
Elsevier
Citation
SOH, Xun Ci, GOH, Adalia Yin Hui, KOH, Paye Shin, & HARTANTO, Andree.(2026). Digital grief technology to support bereavement: A systematic review of potential benefits and risks. Computers in Human Behavior Reports, 22, 1-10.
Available at: https://ink.library.smu.edu.sg/soss_research/4447
Copyright Owner and License
Authors-CC-BY
Creative Commons License

This work is licensed under a Creative Commons Attribution 3.0 License.
Additional URL
https://doi.org/10.1016/j.chbr.2026.101148
Included in
Applied Behavior Analysis Commons, Artificial Intelligence and Robotics Commons, Social Psychology Commons