Who Knows What? Knowledge Misattribution in the Division of Cognitive Labor

被引:8
作者
Fisher, Matthew [1 ]
Oppenheimer, Daniel M. [2 ]
机构
[1] Southern Methodist Univ, Mkt Dept, Dallas, TX 75275 USA
[2] Carnegie Mellon Univ, Dept Social & Decis Sci, Pittsburgh, PA 15213 USA
关键词
transactive memory; cognitive offloading; metacognition; illusions of knowledge; MEMORY AIDS; OVERCONFIDENCE; JUDGMENTS; AVAILABILITY; BENEFITS;
D O I
10.1037/xap0000310
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
As technology advances, people increasingly outsource cognitive tasks and can more easily access others' knowledge. While externalized aids often support human abilities, they may also make it more difficult for people to assess their own competence. Indeed, using online search engines leads people to treat searchable information as if they already know it (Fisher et al., Journal of Experimental Psychology: General, 2015, 144, 674). Six primary and two supplemental studies (N = 3,262) extend previous research by exploring how illusions of knowledge result from reliance on other agents. After teaming with knowledgeable partners (artificially intelligent agents or human teammates) on a trivia quiz, people overestimated how well they would perform on future quizzes for which help was not available; this bias was not evident for participants who never received help. Moreover, overconfidence was insensitive to whether assistance was provided on hard versus easy problems, or even whether the assistance was accurate. Receiving outside assistance creates an ambiguity regarding who deserves credit for success or blame for failure. When this ambiguity is removed, people become better calibrated. These results indicate that reliance on technology and outside knowledge may change our view of ourselves-convincing us we are more capable than we really are.
引用
收藏
页码:292 / 306
页数:15
相关论文
共 60 条
  • [1] Metacognitive Regulation of Text Learning: On Screen Versus on Paper
    Ackerman, Rakefet
    Goldsmith, Morris
    [J]. JOURNAL OF EXPERIMENTAL PSYCHOLOGY-APPLIED, 2011, 17 (01) : 18 - 32
  • [2] Knowledge calibration: What consumers know and what they think they know
    Alba, JW
    Hutchinson, JW
    [J]. JOURNAL OF CONSUMER RESEARCH, 2000, 27 (02) : 123 - 156
  • [3] [Anonymous], 1996, Cognition in the Wild
  • [4] [Anonymous], 2013, R: A language and environment for statistical computing
  • [5] How serious is the 'carelessness' problem on Mechanical Turk?
    Aruguete, Mara S.
    Ho Huynh
    Browne, Blaine L.
    Jurs, Bethany
    Flint, Emilia
    McCutcheon, Lynn E.
    [J]. INTERNATIONAL JOURNAL OF SOCIAL RESEARCH METHODOLOGY, 2019, 22 (05) : 441 - 449
  • [6] Barrett L., 2011, Beyond the brain: How body and environment shape animal and human minds
  • [7] Bates D., 2015, **DATA OBJECT**
  • [8] Block L.G., 1999, J CONSUM PSYCHOL, V8, P343, DOI DOI 10.1207/S15327663JCP0804_01
  • [9] OVERCONFIDENCE IN ESTIMATION - TESTING THE ANCHORING-AND-ADJUSTMENT HYPOTHESIS
    BLOCK, RA
    HARPER, DR
    [J]. ORGANIZATIONAL BEHAVIOR AND HUMAN DECISION PROCESSES, 1991, 49 (02) : 188 - 207
  • [10] Amazon's Mechanical Turk: A New Source of Inexpensive, Yet High-Quality, Data?
    Buhrmester, Michael
    Kwang, Tracy
    Gosling, Samuel D.
    [J]. PERSPECTIVES ON PSYCHOLOGICAL SCIENCE, 2011, 6 (01) : 3 - 5