Competence Awareness for Humans and Machines:A Survey and Future Research Directions from Psychology-Reference-Cited by-同舟云学术

Competence Awareness for Humans and Machines:A Survey and Future Research Directions from Psychology

Published:2024-08-23 Issue: Volume: Page:
ISSN:0360-0300
Container-title:ACM Computing Surveys
language:en
Short-container-title:ACM Comput. Surv.

Author:

Kasmarik Kathryn¹^ORCID,Khani Mahtab¹^ORCID,Abpeikar Shadi²^ORCID,Barlow Michael¹^ORCID,Carter Olivia³^ORCID,Irish Muireann⁴^ORCID

Affiliation:

1. Systems and Computing, University of New South Wales, Canberra, Australia

2. Engineering and Technology, University of New South Wales, Canberra, Australia

3. Psychological Sciences, University of Melbourne, Melbourne, Australia

4. Psychology and Brain & Mind Centre, University of Sydney, Sydney, Australia

Abstract

Machine learning researchers are beginning to understand the need for machines to be able to self-assess their competence and express it in a human understandable form. However, current machine learning algorithms do not yet have the range or complexity of competence awareness measures present in humans. This review first describes progress towards competence awareness in machines, and then examines the psychology literature on competence awareness and competence motivation to identify the limitations of current competence awareness algorithms. The paper concludes with a discussion of the necessary and promising future research directions for creating competence aware machines.

Publisher

Association for Computing Machinery (ACM)

Link

https://dl.acm.org/doi/pdf/10.1145/3689626

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