Considering Etiquette in the Design of an Adaptive System

被引:31
|
作者
Dorneich, Michael C. [1 ]
Ververs, Patricia May [1 ]
Mathan, Santosh [1 ]
Whitlow, Stephen [1 ]
Hayes, Caroline C. [2 ,3 ]
机构
[1] Honeywell Labs, Human Ctr Syst Grp, Golden Valley, MN USA
[2] Univ Minnesota, Mech Engn Dept, Minneapolis, MN 55455 USA
[3] Univ Minnesota, Grad Studies Human Factors Grad Program, Minneapolis, MN USA
关键词
adaptive automation; augmented cognition; communication; decisionaiding; human computer interaction; information overload;
D O I
10.1177/1555343412441001
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this article, the authors empirically assess the costs and benefits of designing an adaptive system to follow social conventions regarding the appropriateness of interruptions. Interruption management is one area within the larger topic of automation etiquette. The authors tested these concepts in an outdoor environment using the Communications Scheduler, a wearable adaptive system that classifies users' cognitive state via brain and heart sensors and adapts its interactions. Designed to help dismounted soldiers, it manages communications in much the same way as a good administrative assistant. Depending on a combination of message priority, user workload, and system state, it decides whether to interrupt the user's current tasks. The system supports decision makers in two innovative ways: It reliably measures a mobile user's cognitive workload to adapt its behavior, and it implements rules of etiquette adapted from human-human interactions to improve human-computer interactions. Results indicate costs and benefits to both interrupting and refraining from interrupting. When users were overloaded, primary task performance was improved by managing interruptions. However, overall situation awareness on secondary tasks suffered. This work empirically quantifies costs and benefits of "appropriate" interruption behaviors, demonstrating the value of designing adaptive agents that follow social conventions for interactions with humans.
引用
收藏
页码:243 / 265
页数:23
相关论文
共 50 条
  • [31] Optimal design of adaptive model predictive control based on improved GWO for autonomous vehicle considering system vision uncertainty
    Elsisi, Mahmoud
    APPLIED SOFT COMPUTING, 2024, 158
  • [32] Adaptive Knowledge Bases in Self-Adaptive System Design
    Kloes, Verena
    Goethel, Thomas
    Glesner, Sabine
    PROCEEDINGS 41ST EUROMICRO CONFERENCE ON SOFTWARE ENGINEERING AND ADVANCED APPLICATIONS SEAA 2015, 2015, : 472 - 478
  • [33] Adaptive Predictive Control System Design with an Adaptive Output Estimator
    Mizumoto, Ikuro
    Fujimoto, Yotaro
    2012 IEEE 51ST ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2012, : 5434 - 5441
  • [34] Design and maintenance for the data storage system considering system rebuilding process
    Zhu Xiaoyan
    Wang Jun
    Yuan Tao
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2019, 191
  • [35] Color design support system considering color harmony
    Tokumaru, M
    Muranaka, N
    Imanishi, S
    PROCEEDINGS OF THE 2002 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOL 1 & 2, 2002, : 378 - 383
  • [36] Design Optimization of the OLEV System Considering Battery Lifetime
    Jeong, Seungmin
    Jang, Young Jae
    Kum, Dongsuk
    2014 IEEE 17TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2014, : 2492 - 2498
  • [37] Flight control system design considering rate saturation
    Duda, H
    AEROSPACE SCIENCE AND TECHNOLOGY, 1998, 2 (04): : 265 - 275
  • [38] Routing Design for Pipe System Considering Natural Frequency
    Fan, Jiang
    Xu, Hongbin
    Meng, Qingze
    Su, Yumin
    APPLIED SCIENCES-BASEL, 2024, 14 (03):
  • [39] Integrated guidance and control design considering system uncertainty
    Chao, Tao
    Zhang, Denghui
    Wang, Songyan
    Ma, Ping
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING, 2019, 233 (06) : 2278 - 2290
  • [40] Design of Acceleration Control System Considering Current Dynamics
    Tanaka, Hiroyuki
    Ohnishi, Kouhei
    Nishi, Hiroaki
    2009 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY, VOLS 1-3, 2009, : 591 - 596