Cristina G Wilson
Biographic Data
| ID | 9634663 |
|---|---|
| NAME | Cristina G Wilson |
| GIVEN NAMES | Cristina G |
| FAMILY NAME | Wilson |
| SIGNATURE | WILSON C G |
| AFFILIATIONS | Oregon State University |
| ORCID | 0000-0002-9639-2752 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Explainable and Adaptable Robotic Decision Making for Scientific Data Collection
In this article, we investigate using explanations to improve decision-making for robotic scientific data collection missions. We propose the Preference Elicitation with contrasting Feature-based eXplanations (PrEFeX) method, which combines preferences with contrasting explanations focused on a single explanatory feature. We first provide a verification of the contrasting explanations by themselves using a planner prediction user study with 16 ex…
Understanding Human Dynamic Sampling Objectives to Enable Robot-assisted Scientific Decision Making
Truly collaborative scientific field data collection between human scientists and autonomous robot systems requires a shared understanding of the search objectives and tradeoffs faced when making decisions. Therefore, critical to developing intelligent robots to aid human experts is an understanding of how scientists make such decisions and how they adapt their data collection strategies when presented with new information in situ . In this study…
Explicit Instruction of Scientific Uncertainty in an Undergraduate Geoscience Field-Based Course
Understanding and communicating uncertainty is a key skill needed in the practice of science. However, there has been little research on the instruction of uncertainty in undergraduate science education. Our team designed a module within an online geoscience field course which focused on explicit instruction around uncertainty and provided students with an uncertainty rating scale to record and communicate their uncertainty with a common language…
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Explicit Instruction of Scientific Uncertainty in an Undergraduate Geoscience Field-Based Course
Understanding and communicating uncertainty is a key skill needed in the practice of science. However, there has been little research on the instruction of uncertainty in undergraduate science education. Our team designed a module within an online geoscience field course which focused on explicit instruction around uncertainty and provided students with an uncertainty rating scale to record and communicate their uncertainty with a common language…
Understanding Human Dynamic Sampling Objectives to Enable Robot-assisted Scientific Decision Making
Truly collaborative scientific field data collection between human scientists and autonomous robot systems requires a shared understanding of the search objectives and tradeoffs faced when making decisions. Therefore, critical to developing intelligent robots to aid human experts is an understanding of how scientists make such decisions and how they adapt their data collection strategies when presented with new information in situ . In this study…
Explainable and Adaptable Robotic Decision Making for Scientific Data Collection
In this article, we investigate using explanations to improve decision-making for robotic scientific data collection missions. We propose the Preference Elicitation with contrasting Feature-based eXplanations (PrEFeX) method, which combines preferences with contrasting explanations focused on a single explanatory feature. We first provide a verification of the contrasting explanations by themselves using a planner prediction user study with 16 ex…
AI-based Problem Solving and Planning (2 works) · Computer Science (2 works) · Data collection (2 works) · Data science (2 works) · Engineering (2 works) · Artificial Intelligence (1 work) · Cognitive Science and Education Research (1 work) · Coursework (1 work) · Earth science (1 work) · Explainable Artificial Intelligence (XAI (1 work)