Cited By
View all- Bales GKong Z(2022)Neurophysiological and Behavioral Differences in Human-Multiagent Tasks: An EEG Network PerspectiveACM Transactions on Human-Robot Interaction10.1145/352792811:4(1-25)Online publication date: 14-Apr-2022
Cognitive correlates of EEG spectral power indicate human-swarm task performance
Article No.: 34, Pages 1 - 6
Abstract
In this paper, we examine whether the geometric complexity of a robotic group affects performance in a human-swarm target acquisition task, and if these changes are reflected in average neurophysiological and behavioral characteristics. This is one of the first studies to utilize both the distribution of EEG spectral power and external behaviors to paint a more complex interaction between cognitive processes, behaviors, and task performance. Our results show that increasing the geometric complexity of the robotic group reduced task performance by 48.5%. Furthermore, the decrease in performance is accompanied by an increase in neurological measures that indicate more internal processing and suppression of visual stimuli. Accompanying changes in gaze and control activity enforce these differences.
References
[1]
Bales, G., Das, J., Linke, B., and Kong, Z. Recognizing gaze-motor behavioral patterns in manual grinding tasks. Procedia Manufacturing 5 (2016), 106--121.
[2]
Bashyal, S., and Venayagamoorthy, G. K. Human swarm interaction for radiation source search and localization. In Swarm Intelligence Symposium, 2008. SIS 2008. IEEE, IEEE (2008), 1--8.
[3]
Cummings, M. L., and Brzezinski, A. S. Global vs. local decision support for multiple independent uav schedule management. International Journal of Applied Decision Sciences 3, 3 (2010), 188--205.
[4]
Islam, M. K., Rastegarnia, A., and Yang, Z. Methods for artifact detection and removal from scalp EEG: A review. Neurophysiologie Clinique/Clinical Neurophysiology 46, 4--5 (Nov. 2016), 287--305.
[5]
Klimesch, W. Alpha-band oscillations, attention, and controlled access to stored information. Trends in Cognitive Sciences 16, 12 (Dec. 2012), 606--617.
[6]
Kolling, A., Sycara, K., Nunnally, S., and Lewis, M. Human swarm interaction: An experimental study of two types of interaction with foraging swarms. Journal of Human-Robot Interaction 2, 2 (2013), 103--128.
[7]
Kolling, A., Walker, P., Chakraborty, N., Sycara, K., and Lewis, M. Human interaction with robot swarms: A survey. IEEE Transactions on Human-Machine Systems 46, 1 (2016), 9--26.
[8]
Pendleton, B., and Goodrich, M. Scalable human interaction with robotic swarms. In AIAA Infotech@ Aerospace (I@ A) Conference (2013), 4731.
[9]
Schmorrow, D., Stanney, K. M., Wilson, G., and Young, P. Augmented cognition in human-system interaction. Handbook of Human Factors and Ergonomics, Third Edition (2006), 1364--1383.
[10]
Walker, P., Amraii, S. A., Chakraborty, N., Lewis, M., and Sycara, K. Human control of robot swarms with dynamic leaders. In Intelligent Robots and Systems (IROS 2014), 2014 IEEE/RSJ International Conference on, IEEE (2014), 1108--1113.
- Cognitive correlates of EEG spectral power indicate human-swarm task performance
Recommendations
The neural correlates of cognitive control: Successful remembering and intentional forgetting
The ability to control how we process information by remembering that which is important and forgetting that which is irrelevant is essential to maintain accurate, up-to-date memories. As such, memory success is predicated on both successful intentional ...
Electrophysiological correlates of stimulus-driven reorienting deficits after interference with right parietal cortex during a spatial attention task: A tms-eeg study
TMS interference over right intraparietal sulcus (IPS) causally disrupts behaviorally and EEG rhythmic correlates of endogenous spatial orienting before visual target presentation [Capotosto, P., Babiloni, C., Romani, G. L., & Corbetta, M. Differential ...
Neuroanatomical Correlates of Human Reasoning
One of the important questions cognitive theories of reasoning must address is whether logical reasoning is inherently sentential or spatial. A sentential model would exploit nonspatial (linguistic) properties of representations whereas a spatial model ...
Comments
Information & Contributors
Information
Published In
October 2018
299 pages
ISBN:9781450365642
DOI:10.1145/3277593
- Conference Chairs:
- Krzysztof Janowicz,
- Werner Kuhn,
- Program Chairs:
- Federica Cena,
- Armin Haller,
- Kyriakos G. Vamvoudakis
Copyright © 2018 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 15 October 2018
Check for updates
Author Tags
Qualifiers
- Research-article
Conference
IOT '18
IOT '18: 8th International Conference on the Internet of Things
October 15 - 18, 2018
California, Santa Barbara, USA
Acceptance Rates
Overall Acceptance Rate 28 of 84 submissions, 33%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- View Citations1Total Citations
- 73Total Downloads
- Downloads (Last 12 months)2
- Downloads (Last 6 weeks)0
Reflects downloads up to 10 Nov 2024
Other Metrics
Citations
Cited By
View all- Bales GKong Z(2022)Neurophysiological and Behavioral Differences in Human-Multiagent Tasks: An EEG Network PerspectiveACM Transactions on Human-Robot Interaction10.1145/352792811:4(1-25)Online publication date: 14-Apr-2022
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in