Human–AI Interaction as Digital Indicators for Early Cognitive Decline and Their Implications for Caregiving

Introduction to Workshop

Welcome to the workshop on From Language to Daily Living: Human-AI Interaction as Digital Indicators for Early Cognitive Decline and Their Implications for Caregiving, held in conjunction with IEEE BIBM 2026 in Dallas, Texas.

This workshop convenes researchers across NLP, HCI, AI for health, and clinical dementia science around a shared question: As conversational AI systems become increasingly embedded in the daily lives of older adults, how can human-AI interaction become an ecologically valid platform for detecting early cognitive change and informing caregiving? Our goal is to build a program that moves from language signals to interaction patterns, from interaction patterns to behavioral and digital indicators, and from these indicators to translational implications for care, monitoring, and adaptive communication systems.

We invite submissions with unpublished, original research describing recent advances related to this theme. Topics include language and discourse markers, conversational dynamics, multimodal interaction data, longitudinal modeling, clinically interpretable indicators, and AI-enabled caregiving systems. All submissions will undergo peer review by the workshop program committee.

Call for Papers

Topics of interest include, but are not limited to:

• Language and Speech Signals: linguistic, discourse, acoustic, and prosodic markers for detecting early cognitive change.
• Interaction Dynamics: conversational patterns such as topic maintenance, repair, response latency, repetition, and breakdown in human-AI interaction.
• Digital and Multimodal Indicators: computational methods for extracting interpretable indicators from language, speech, behavioral, and longitudinal interaction data.
• Caregiving and Clinical Translation: interaction-based signals that support clinical interpretation, caregiving decisions, monitoring workflows, and adaptive communication systems.
• Responsible AI Foundations: privacy, fairness, datasets, evaluation frameworks, and ethical considerations for AI-assisted cognitive health systems.

Paper Submission

Please submit a full-length paper of up to 8 pages in IEEE two-column format through the workshop submission portal. Authors should follow the IEEE BIBM 2026 main conference instructions and may download the IEEE conference templates here.

The 8-page limit is a firm requirement and includes all content, including the main paper, references, and any appendices. Submissions should be double blind and should not include author names or affiliations. Electronic submissions in PDF or PostScript format are required.

All accepted workshop papers will be included in the main Conference Proceedings published by the IEEE Computer Society Press. Submissions should not be published elsewhere or under review in another workshop, conference, or journal.

Important Dates

All dates are tentative and will be confirmed on the official BIBM 2026 site. Deadlines are 23:59 AoE.

Schedule To Be Announced

The detailed workshop program has not yet been finalized. The final schedule will be determined after the paper submission and review process, based on the number of submissions, accepted papers, invited speakers, and coordination with the IEEE BIBM 2026 conference schedule.

Potential program components may include keynote talks, oral paper presentations, panel discussion, and community exchange sessions. A detailed agenda will be posted here once available.

Keynote Speakers

Jiayu Zhou

Associate Professor, School of Information, University of Michigan

Dr. Zhou's research spans large-scale machine learning, generative AI, AI for health, and AI+X. His recent work includes AI methods for early diagnosis of Alzheimer's disease, digital biomarkers from conversations and daily behavior, and multimodal health data integration.

C. Munro Cullum

Professor of Psychiatry, Neurology, and Neurological Surgery, UT Southwestern Medical Center

Dr. Cullum's work spans research, education, clinical service, and leadership in neuropsychology. His research includes cognitive assessment, dementia and memory disorders, risk factors and differential diagnosis of Alzheimer's disease and other neurodegenerative conditions, concussion, and telehealth applications in neuropsychology.

Program Committee

Program Chairs