Penelope Sanderson
Biographic Data
| ID | 7594537 |
|---|---|
| NAME | Penelope Sanderson |
| GIVEN NAMES | Penelope |
| FAMILY NAME | Sanderson |
| SIGNATURE | SANDERSON P |
| AFFILIATIONS | University of Illinois Urbana-Champaign |
| ORCID | 0000-0002-1235-1719 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1994 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Representing patient vital signs with overlapping or serial earcon components
There is interest in how clinicians can achieve good awareness of their patients’ wellbeing in a way that is not provided by conventional alarms. Earcons (short abstract sound motifs) provide an alternative. In three experiments we explored how effectively normal and abnormal levels of a patient's heart rate (HR), arterial oxygen saturation (SpO2) and blood pressure (BP) could be conveyed using two different earcon designs: overlapping (individua…
Head-worn displays for healthcare and industry workers
Human Factors and Ergonomics
Exploratory sequential data analysis
e r v a t i o n a l D a t a 1 Many of the important ideas in what follows emerged from the experiences and contributions of members of a CHI'92 workshop on theories, techniques, and tools for ESDA [3] and of a subsequent HEFES'93 workshop on ESDA in practice
Exploratory Sequential Data Analysis
Human-computer interaction (HCI) investigators must consider the sequential nature of interaction and must often weigh behavioral, cognitive, and social factors when studying and designing today's increasingly complex systems. In many cases, laboratory experimentation is inappropriate and formal modeling intractable; instead, observational data analysis is frequently the only appropriate empirical approach. Diverse approaches to observational dat…
Introduction to This Special Issue on Exploratory Sequential Data Analysis
The goal of this special issue is to promote a better and more critical understanding of the use of observational methods in human-computer interaction (HCI). We have coined the term exploratory sequential data analysis (ESDA) to refer collectively to the many techniques that already exist in the behavioral and social sciences for handling observational data and for performing sequential analyses. Borrowing for a moment from our article in this s…
No prominent works on this page.
Exploratory Sequential Data Analysis
Human-computer interaction (HCI) investigators must consider the sequential nature of interaction and must often weigh behavioral, cognitive, and social factors when studying and designing today's increasingly complex systems. In many cases, laboratory experimentation is inappropriate and formal modeling intractable; instead, observational data analysis is frequently the only appropriate empirical approach. Diverse approaches to observational dat…
Introduction to This Special Issue on Exploratory Sequential Data Analysis
The goal of this special issue is to promote a better and more critical understanding of the use of observational methods in human-computer interaction (HCI). We have coined the term exploratory sequential data analysis (ESDA) to refer collectively to the many techniques that already exist in the behavioral and social sciences for handling observational data and for performing sequential analyses. Borrowing for a moment from our article in this s…
Exploratory sequential data analysis
e r v a t i o n a l D a t a 1 Many of the important ideas in what follows emerged from the experiences and contributions of members of a CHI'92 workshop on theories, techniques, and tools for ESDA [3] and of a subsequent HEFES'93 workshop on ESDA in practice
Human Factors and Ergonomics
Head-worn displays for healthcare and industry workers
Representing patient vital signs with overlapping or serial earcon components
There is interest in how clinicians can achieve good awareness of their patients’ wellbeing in a way that is not provided by conventional alarms. Earcons (short abstract sound motifs) provide an alternative. In three experiments we explored how effectively normal and abnormal levels of a patient's heart rate (HR), arterial oxygen saturation (SpO2) and blood pressure (BP) could be conveyed using two different earcon designs: overlapping (individua…
Computer Science (6 works) · Data science (4 works) · Engineering (3 works) · Mathematics (3 works) · Artificial Intelligence (2 works) · Computer security (2 works) · Data mining (2 works) · Data Visualization and Analytics (2 works) · Exploratory analysis (2 works) · Exploratory data analysis (2 works)