MIND: Empowering Mental Health Clinicians with Multimodal Data Insights through a Narrative Dashboard

@XXXXX{Zou2026MINDEmpoweringMental,
  author    = {Ruishi Zou, Shiyu Xu, Margaret E Morris, Jihan Ryu, Timothy D. Becker, Nicholas Allen, Anne Marie Albano, Randy Auerbach, Dan Adler, Varun Mishra, Lace M. Padilla, Dakuo Wang, Ryan Sultan, Xuhai Xu },
  VENUE     = {Proc. CHI Conference on Human Factors in Computing Systems—CHI},
  title     = {MIND: Empowering Mental Health Clinicians with Multimodal Data Insights through a Narrative Dashboard},
  year      = {2026},
  note      = {XXX YYYY. CHI Best Paper Honorable Mention Preprint at \url{https://arxiv.org/pdf/2601.14641}. Supplemental material at \url{}.},
  number    = {},
  pages     = {1-26},
  volume    = {},
  abstract  = {Advances in data collection enable the capture of rich patient-generated data: from passive sensing (e.g., wearables and smartphones) to active self-reports (e.g., cross-sectional surveys and ecological momentary assessments). Although prior research has demonstrated the utility of patient-generated data in mental healthcare, significant challenges remain in effectively presenting these data streams along with clinical data (e.g., clinical notes) for clinical decision-making. Through co-design sessions with five clinicians, we propose MIND, a large language model-powered dashboard designed to present clinically relevant multimodal data insights for mental healthcare. MIND presents multimodal insights through narrative text, complemented by charts communicating underlying data. Our user study (N=16) demonstrates that clinicians perceive MIND as a significant improvement over baseline methods, reporting improved performance to reveal hidden and clinically relevant data insights (p<.001) and support their decision-making (p=.004). Grounded in the study results, we discuss future research opportunities to integrate data narratives in broader clinical practices.},
  articleno = {27},
  doi       = {10.1145/3772318.3790529},
  series   = {CHI},
}