---
res:
  bibo_abstract:
  - With the introduction of intelligent and autonomous systems into factory environments,
    workplaces where human employees work alongside digital counterparts will become
    increasingly informational. We develop a generic framework for hypothetical workplaces
    to investigate how complexities create to uncertainties. Complexity may be explained
    through the Level of Abstractions used to model a system, and it is encountered
    in its dynamic form as an alteration of information flow between agents in a phenomenological
    relationship. Analyzing these systems as ‘information flows’ brings to light the
    uncertainity(ies) the workers of the future will have to cope with. We develop
    first concepts that can be used to develop heuristics to manage these uncertainties
    in complex manufacturing environments. These heuristics may also be useful in
    creating optimized workplaces that combine the individual abilities of both humans
    and machines. The framework proposed in this paper may be subject for an empirical
    validation of these heuristics in the future.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Hitesh
      foaf_name: Dhiman, Hitesh
      foaf_surname: Dhiman
      foaf_workInfoHomepage: http://www.librecat.org/personId=71767
  - foaf_Person:
      foaf_givenName: D. A.
      foaf_name: Plewe, D. A.
      foaf_surname: Plewe
  - foaf_Person:
      foaf_givenName: Carsten
      foaf_name: Röcker, Carsten
      foaf_surname: Röcker
      foaf_workInfoHomepage: http://www.librecat.org/personId=61525
  bibo_doi: 10.1007/978-3-319-94196-7_10
  bibo_volume: 793
  dct_date: 2018^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/978-3-319-94195-0
  dct_language: eng
  dct_publisher: Springer@
  dct_subject:
  - Uncertainties
  - Complexity
  - Human-machine interaction
  dct_title: 'Addressing Uncertainties in Complex Manufacturing Environments: A Multidisciplinary
    Approach@'
...