Playbook for UAS: UX of Goal-Oriented Planning and Execution

被引:3
|
作者
Gale, Jack [1 ]
Karasinski, John [2 ]
Hillenius, Steve [2 ]
机构
[1] San Jose State Univ Res Fdn, San Jose, CA 95112 USA
[2] NASA Ames Res Ctr, Mountain View, CA 94035 USA
关键词
Swarms; UAV; UAS; Autonomy; Engineering psychology; Cognitive ergonomics; User experience; Human centered design; HCl;
D O I
10.1007/978-3-319-91122-9_44
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We are evaluating Playbook for CASAS (Connected Autonomous Smart Aerospace Systems), a tool designed to aid first responders in disaster relief efforts. We are adapting an existing tool, Playbook, to support a future unmanned aircraft system (UAS) swarm demonstration. Playbook for CASAS will be used to plan, edit, and monitor simulated UAS swarms, and we are interested in evaluating the user experience of this prototype as well as developing recommendations for future UAS interfaces. Allocation of roles and responsibilities between human-automation systems is key to promoting productive cooperation between users and automation. Future interfaces, however, must allow for adaptive management of the swarm not a constant split in human-automation control. Our early research indicates that when a single pilot is controlling swarms of robotic agents, such as UAS or ground rovers, operators require a higher level, goal-based interface with usability at its core. Along with that high-level control, users can leverage sensors within the swarm to be notified when lower level actions must be taken by the pilot. First responders working in disaster relief efforts require a high level of situational awareness (SA) and precise control at key moments within a mission. This balance in operator workload paired with SA can lead to improved safety and mission outcomes. Our research below outlines leverage points as well as the balance between human involvement and autonomy in UAS interfaces.
引用
收藏
页码:545 / 557
页数:13
相关论文
共 50 条
  • [31] Goal-oriented computational steering
    Smith, WR
    Anderson, WL
    Haftel, MI
    Kuo, E
    Rosen, M
    Uhlmann, JK
    [J]. ENABLING TECHNOLOGY FOR SIMULATION SCIENCE III, 1999, 3696 : 250 - 261
  • [32] Sampling-based motion planning of manipulator with goal-oriented sampling
    Gitae Kang
    Yong Bum Kim
    Young Hun Lee
    Hyun Seok Oh
    Won Suk You
    Hyouk Ryeol Choi
    [J]. Intelligent Service Robotics, 2019, 12 : 265 - 273
  • [33] Goal-oriented agents in a market
    Macho-Stadler, Ines
    Perez-Castrillo, David
    Querou, Nicolas
    [J]. JOURNAL OF ECONOMIC PSYCHOLOGY, 2021, 84
  • [34] Goal-oriented composition of services
    Nanz, Sebastian
    Tolstrup, Terkel K.
    [J]. SOFTWARE COMPOSITION, 2008, 4954 : 109 - 124
  • [35] Goal-oriented hemodynamic therapy
    Haddy, FJ
    [J]. NEW ENGLAND JOURNAL OF MEDICINE, 1996, 334 (12): : 800 - 800
  • [36] Sampling-based motion planning of manipulator with goal-oriented sampling
    Kang, Gitae
    Kim, Yong Bum
    Lee, Young Hun
    Oh, Hyun Seok
    You, Won Suk
    Choi, Hyouk Ryeol
    [J]. INTELLIGENT SERVICE ROBOTICS, 2019, 12 (03) : 265 - 273
  • [37] A goal-oriented interface to consumer electronics using planning and commonsense reasoning
    Lieberman, Henry
    Espinosa, Jose
    [J]. KNOWLEDGE-BASED SYSTEMS, 2007, 20 (06) : 592 - 606
  • [38] DNR in the OR - A goal-oriented approach
    Truog, RD
    Waisel, DB
    Burns, JP
    [J]. ANESTHESIOLOGY, 1999, 90 (01) : 289 - 295
  • [39] GOAL-ORIENTED PROCESSES WITH GPMN
    Jander, Kai
    Braubach, Lars
    Pokahr, Alexander
    Lamersdorf, Winfried
    Wack, Karl-Josef
    [J]. INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS, 2011, 20 (06) : 1021 - 1041
  • [40] Goal-oriented requirements animation
    Van, HT
    van Lamsweerde, A
    Massonet, P
    Ponsard, C
    [J]. 12TH IEEE INTERNATIONAL REQUIREMENTS ENGINEERING CONFERENCE, PROCEEDINGS, 2004, : 218 - 228