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Anna Skinner

dblp:02/7223 · also Anna D. Skinner · DBLP profile ↗
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4ranked-venue papers
0as first author
3since 2021 · last 2023
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 1 since 2021Human-computer interaction and ubiquitous computing · 2 · 2 since 2021Systems, architecture and hardware · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Human-robot interaction · 91% Usability and user experience research · 9%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction
teleoperation
0.512021
Investigation of Multiple Resource Theory Design Principles on Robot Teleoperation and Workload Management · ICRA 2021
Human-robot interaction › teleoperation
teleoperation interface
0.512021
Investigation of Multiple Resource Theory Design Principles on Robot Teleoperation and Workload Management · ICRA 2021
Usability and user experience research
cognitive load
0.112021
Investigation of Multiple Resource Theory Design Principles on Robot Teleoperation and Workload Management · ICRA 2021

Methods — techniques the papers use, named apart from their topics

visual display · 0.5memory test · 0.5auditory display · 0.5
YearPublicationVenuePosition
2023 Special Issue: Trends in Adaptive Interactive Training Systems - Preface
abstract
This special issue of the International Journal of Human Computer Interaction, which is focused on Trends in Adaptive Interactive Training Systems, is dedicated to the life and work of Dr. Ray S. P...
Kay M. Stanney, Anna Skinner, Tracy Christaldi
Int. J. Hum. Comput. Interact.2
2023 Exercisable Learning-Theory and Evidence-Based Andragogy for Training Effectiveness using XR (ELEVATE-XR): Elevating the ROI of Immersive Technologies
abstract
eXtended Reality (XR) promises to provide a powerful capability to disseminate a vast array of instructional content appropriate for all types and levels of learners, ultimately revolutionizing education and training. Yet, while XR presents an opportunity for a powerful paradigm shift in education, a scientifically grounded andragogy for harnessing the didactic power of XR has yet to emerge. Herein, a unified framework of research-based instructional strategies for guiding the design of proficiency-based XR educational and training content is proposed, along with an associated naval maintenance use case. While this work draws on relevant pedagogical and andragogical theories, as well as fundamental learning theories applicable to learners of all ages, the framework specifically targets adult learners and training of complex skills applicable to various professional domains. Within the framework, learning theories have been aligned with learner proficiency level to specify competency-based learning objectives and activities, XR form factors, and learning loops that are anticipated to boost XR training efficacy. The proposed framework—the Exercisable Learning-theory and EVidence-based Andragogy for Training Effectiveness using XR (ELEVATE-XR)—is meant to serve as a guide to drive effective and efficient design of XR applications that enhance adult learning.
Kay M. Stanney, Anna Skinner, Claire L. Hughes
Int. J. Hum. Comput. Interact.2
2021 Investigation of Multiple Resource Theory Design Principles on Robot Teleoperation and Workload Management
abstract
Robot interfaces often only use the visual channel. Inspired by Wickens’ Multiple Resource Theory, we investigated if the addition of audio elements would reduce cognitive workload and improve performance. Specifically, we designed a search and threat-defusal task (primary) with a memory test task (secondary). Eleven participants – predominantly first responders – were recruited to control a robot to clear all threats in a combination of four conditions of primary and secondary tasks in visual and auditory channels. While we did not find any statistically significant differences in performance or workload across subjects, making it questionable that Multiple Resource Theory could shorten longer-term task completion time and reduce workload. Our results suggest that considering individual differences for splitting interface modalities across multiple channels requires further investigation.
Zhao Han, Adam Norton, Eric McCann, Lisa Baraniecki, Willard Ober, Dave Shane, Anna Skinner, Holly A. Yanco
ICRA7
2014 Tetris as Research Paradigm: An Approach to Studying Complex Cognitive Skills
Wayne D. Gray, Ray S. Perez, John K. Lindstedt, Anna Skinner, Robin Johnson, Richard E. Mayer, Deanne Adams, Robert K. Atkinson
CogSci4