Future You: Designing and Evaluating Multimodal AI-generated Digital Twins for Strengthening Future Self-Continuity
Massachusetts Institute of Technology · Harvard University Press · +3 more institutions
Abstract
Connecting with one’s future self has been shown to enhance decision-making, improve academic performance, promote positive health outcomes, and elevate subjective quality of life. Yet traditional interventions rely on imagination or static visualizations that may not be the most effective. AI-generated digital twins offer a new approach, enabling people to engage in dialogue with a personalized representation of themselves decades ahead. However, it remains unclear how presentation modality shapes their psychological impact. We report a randomized between-subjects study (n = 92) comparing three modalities of an AI-generated future self (text, voice, and a photorealistic talking avatar) against a generic AI…
Citation impact
- FWCI
- 106.80
- Percentile
- 99%
- References
- 77
Authors
9- CAConstanze AlbrechtCorresponding
Massachusetts Institute of Technology
- CAChayapatr Archiwaranguprok
Massachusetts Institute of Technology
- RPRachel Poonsiriwong
Harvard University Press
- ACAwu Chen
Massachusetts Institute of Technology
- MLMonchai Lertsutthiwong
Sirindhorn National Medical Rehabilitation Institute
Topics & keywords
- Modalities
- Psychological intervention
- Avatar
- Conversation
- Modality (human–computer interaction)
- Quality (philosophy)
- Experiential learning
- Creativity