Enhancing Drone Pilots' Engagement Through a Brain-Computer Interface

被引:3
作者
Pham, Tracy [1 ]
Tezza, Dante [1 ]
Andujar, Marvin [1 ]
机构
[1] Univ S Florida, Tampa, FL 33620 USA
来源
HUMAN-COMPUTER INTERACTION. MULTIMODAL AND NATURAL INTERACTION, HCI 2020, PT II | 2020年 / 12182卷
关键词
Brain-computer interfaces; Brain-controlled drones; Brain-controlled games; Human-Drone Interaction; Passive BCI;
D O I
10.1007/978-3-030-49062-1_49
中图分类号
学科分类号
摘要
Drones are becoming ubiquitous in society, and as their use continues to grow, it becomes important to research new approaches to provide a better user experience and safer flights. In this paper, we propose the use of brain-computer interfaces (BCI) to measure the drone pilot's engagement from the brain while piloting drones. We hypothesize that relaying on a quantified measurement, the pilot will be encouraged to increase their focus, leading to higher engagement and possible safer flights. Our first contribution is a technical description of the system, which allows the pilots to control a virtual first-person view (FPV) drone while receiving feedback on their engagement level measured with a BCI. Secondly, we present the results of a user study with 10 participants, in which their feedback stated that receiving engagement level feedback increased their engagement as they tried to raise their focus in the activity.
引用
收藏
页码:706 / 718
页数:13
相关论文
共 22 条
  • [1] Abdelrahman Y., 2015, Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct - MobileHCI'15, P838, DOI DOI 10.1145/2786567.2793709
  • [2] Drone near me: Exploring touch-based human-drone interaction
    Abtahi, Parastoo
    Zhao, David
    Jane, L.E.
    Landay, James
    [J]. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2017, 1 (03)
  • [3] Andujar Marvin., 2013, CHI13 Extended Abstracts on Human Factors in Computing Systems, P703
  • [4] Apvrille L, 2014, 2014 XXXITH URSI GENERAL ASSEMBLY AND SCIENTIFIC SYMPOSIUM (URSI GASS)
  • [5] Understanding Dangerous Play: A Grounded Theory Analysis of High-Performance Drone Racing Crashes
    Barin, Amirreza
    Dolgov, Igor
    Toups, Zachary O.
    [J]. CHI PLAY'17: PROCEEDINGS OF THE ANNUAL SYMPOSIUM ON COMPUTER-HUMAN INTERACTION IN PLAY, 2017, : 485 - 496
  • [6] Boyle M.J., 2015, ORBIS, V59, P76, DOI DOI 10.1016/J.ORBIS.2014.11.007
  • [7] Cauchard JR, 2016, ACMIEEE INT CONF HUM, P263, DOI 10.1109/HRI.2016.7451761
  • [8] Federal Aviation Administration, 2019, Unmanned aircraft systems forecast
  • [9] EngageMeter: A System for Implicit Audience Engagement Sensing Using Electroencephalography
    Hassib, Mariam
    Schneegass, Stefan
    Eiglsperger, Philipp
    Henze, Niels
    Schmidt, Albrecht
    Alt, Florian
    [J]. PROCEEDINGS OF THE 2017 ACM SIGCHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'17), 2017, : 5114 - 5119
  • [10] Improving Unmanned Aerial Vehicle Pilot Training and Operation for Flying in Cluttered Environments
    Hing, James T.
    Sevcik, Keith W.
    Oh, Paul Y.
    [J]. 2009 IEEE-RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, 2009, : 5641 - 5646