• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Konferenzschrift
  4. Productive teaming under uncertainty: when a human and a machine classify objects together
 
  • Details
  • Full
Options
2023
Conference Paper
Title

Productive teaming under uncertainty: when a human and a machine classify objects together

Abstract
We study the task of object categorization in an industrial setting. Typically, a machine classifies objects according to an internal, inferred model, and calls to a human worker if it is uncertain. However, the human worker may be also uncertain. We elaborate on the challenges and solutions to assess the certainty of the human without disturbing the industrial process, and to assess label reliability and human certainty in conventional object classification and crowdworking. Albeit there are methods for measuring stress, insights on the correlation of stress and uncertainty and uncertainty indicators during labeling by humans, these advances are yet to be combined to solve the aforementioned uncertainty challenge. We propose a solution as a sequence of tasks, starting with a experiment that measures human certainty in a task of controlled difficulty, whereupon we can associate certainty with correctness and levels of vital signals.
Author(s)
Rother, Anne
Notni, Gunther  
Fraunhofer-Institut für Angewandte Optik und Feinmechanik IOF  
Hasse, Alexander
Noack, Benjamin
Beyer, Christian
Reißmann, Jan
Zhang, Chen
Ragni, Marco
Arlinghaus, Julia
Spiliopoulou, Myra
Mainwork
IEEE International Conference on Advanced Robotics and its Social Impacts, ARSO 2023  
Conference
International Conference on Advanced Robotics and its Social Impacts 2023  
DOI
10.1109/ARSO56563.2023.10187430
Language
English
Fraunhofer-Institut für Angewandte Optik und Feinmechanik IOF  
  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024