Scholar
Matthew Jörke
Google Scholar ID: O3WbNloAAAAJ
Stanford University
Citations & Impact
Citations
480
H-index
7
i10-index
4
Publications
15
Co-authors
7
list available
Publications
Resume (English only)
Academic Achievements
- - Bloom: Designing for LLM-Augmented Behavior Change Interactions. ArXiv Preprint.
- - GPTCoach: Towards LLM-Based Physical Activity Coaching. CHI '25.
- - Cost-Aware Near-Optimal Policy Learning. AAAI '25.
- - Adaptive Interventions with User-Defined Goals for Health Behavior Change. CHIL '24.
- - “They Make Us Old Before We’re Old”: Designing Ethical Health Technology with and for Older Adults. CSCW ‘24.
- - Improving Work-Nonwork Balance with Data-Driven Implementation Intention and Mental Contrasting. CSCW ‘24.
- - A Workshop-Based Method for Navigating Value Tensions in Collectively Speculated Worlds. DIS ‘23.
- - Pearl: A Technology Probe for Machine-Assisted Reflection on Personal Data. IUI ‘23.
- - Explanations Can Reduce Overreliance on AI Systems During Decision-Making. CSCW ‘23.
- - Simple Regret Minimization for Contextual Bandits Using Bayesian Optimal Experimental Design. ICML ‘22 ReALML Workshop.
- - Attending to Long-Distance Document Context for Sequence Labeling. Findings of ELMNP ‘20.
- - Hybrid Microgenetic Analysis: Using Activity Codebooks to Identify and Characterize Creative Process. C&C ‘19.
Research Experience
- - Adaptive UIs project, HfG Schwäbisch Gmünd, 2019
- - Hybrid Microgenetic Analysis project, Creativity & Cognition 2019
- - Freeform Modeling Workshop project, HfG Schwäbisch Gmünd, 2019
- - Logistic Regression & Information Theory project, UC Berkeley, 2018
- - PageRank on Billboard & Spotify Data project, UC Berkeley, 2018
- - Momento project, UC Berkeley, 2017
Education
- - Degree: PhD Candidate in Computer Science
- - University: Stanford University
- - Advisors: Prof. James Landay (Human-Computer Interaction), Prof. Emma Brunskill (Artificial Intelligence)
- - Year: Final year
Background
- - Research Interests: Technologies that support health behavior change and wellbeing
- - Fields: Human-Computer Interaction, Artificial Intelligence
