The role of automation etiquette and task-criticality on performance, workload, automation reliance, and user confidence

被引:0
|
作者
Guyton, Zachary [1 ]
Pak, Richard [2 ]
Rovira, Ericka [1 ]
机构
[1] United States Mil Acad, Dept Behav Sci & Leadership, West Point, NY 10996 USA
[2] Clemson Univ, Dept Psychol, Clemson, SC USA
关键词
Automation etiquette; Task criticality; Automation bias; Performance; Trust; Automation reliability; Automation stage; Automation reliance; INDIVIDUAL-DIFFERENCES; WORKING-MEMORY; TRUST; DESIGN;
D O I
10.1016/j.apergo.2024.104430
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Previous research suggests good automation etiquette can yield positive effects on user performance, trust, automation reliance, and user confidence - especially in personified or anthropomorphized technologies. The current study examined the impact of automation etiquette and task-criticality in non-personified technology. The study used a computer-based automation task to examine good and bad automation etiquette models and different domain-based task-criticality levels (between-subjects) that contained various stages of automation (stage 2 and stage 3) and automation reliability levels (60% and 80%) (within-subjects). The study found that bad automation etiquette can increase automation bias and automation reliance which improved performance in the most capable automation condition (stage 3; 80% reliable) but also heightened user subjective workload and decreased user self-confidence. The study also demonstrated task-criticality can be successfully manipulated through domain and instructions. Overall, automation etiquette influenced performance and user confidence more in highly capable automation (stage 3) and in a low-criticality task domain.
引用
收藏
页数:10
相关论文
共 50 条
  • [31] The Influence of Automation Support on Performance, Workload, and Situation Awareness of Air Traffic Controllers
    van de Merwe, Koen
    Oprins, Esther
    Eriksson, Fredrik
    van der Plaat, Akos
    INTERNATIONAL JOURNAL OF AVIATION PSYCHOLOGY, 2012, 22 (02): : 120 - 143
  • [32] Too much of a good thing: How varying levels of automation impact user performance in a simulated intrusion detection task
    Thomson, Robert
    Cassenti, Daniel N.
    Hawkins, Thom
    COMPUTERS IN HUMAN BEHAVIOR REPORTS, 2024, 16
  • [33] PARTICIPATIVE PLANNING FOR LIBRARY-AUTOMATION - THE ROLE OF THE USER OPINION SURVEY
    ANDERSON, PM
    MILLER, EG
    COLLEGE & RESEARCH LIBRARIES, 1983, 44 (04): : 245 - 254
  • [34] Not All Information Is Equal: Effects of Disclosing Different Types of Likelihood Information on Trust, Compliance and Reliance, and Task Performance in Human-Automation Teaming
    Du, Na
    Huang, Kevin Y.
    Yang, X. Jessie
    HUMAN FACTORS, 2020, 62 (06) : 987 - 1001
  • [35] Evaluating Human-Automation Etiquette Strategies to Mitigate User Frustration and Improve Learning in Affect-Aware Tutoring
    Yang, Euijung
    Dorneich, Michael C.
    APPLIED SCIENCES-BASEL, 2018, 8 (06):
  • [36] A New Role for Chatbots: Automation of a Sleep-Dependent Memory Task
    Ireland, David
    Lam, Aaron
    Bradford, DanaKai
    Naismith, Sharon
    MEDINFO 2023 - THE FUTURE IS ACCESSIBLE, 2024, 310 : 519 - 523
  • [37] Triggering Changes in Adaptive Automation Evaluation of Task Performance, Priority and Frequency
    Miller, Crystal A.
    Miller, Michael E.
    Calhoun, Glori L.
    2014 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), 2014, : 1732 - 1737
  • [38] Transparent systems, opaque results: a study on automation compliance and task performance
    Pharmer, Rebecca L.
    Wickens, Christopher D.
    Clegg, Benjamin A.
    COGNITIVE RESEARCH-PRINCIPLES AND IMPLICATIONS, 2025, 10 (01):
  • [39] Age and automation interact to influence performance of a simulated luggage screening task
    Wiegmann, Douglas
    McCarley, Jason S.
    Kramer, Arthur F.
    Wickens, Christopher D.
    AVIATION SPACE AND ENVIRONMENTAL MEDICINE, 2006, 77 (08): : 825 - 831
  • [40] Benchmarking automation-aided performance in a forensic face matching task
    Bartlett, Megan L.
    Carragher, Daniel J.
    Hancock, Peter J. B.
    Mccarley, Jason S.
    APPLIED ERGONOMICS, 2024, 121