---
_id: '12993'
abstract:
- lang: eng
  text: In computer science and related technical fields, researchers, educators,
    and practitioners are continuously automating recurring tasks for high efficiency
    in a wide variety of fields. In higher education, such tasks that educators face
    are the recurring review and assessment process of students' programming coursework.
    Thus, various attempts exist to automate the assessment and feedback generation
    for course homework and practicals in higher education. Those approaches for automated
    programming task assessment often comprise running automated tests to check for
    limited functional correctness and potentially style checking for various violations
    (LINTing). Educators familiar with large-scale automated task assessment are likely
    used to seeing hard-coded solutions specifically or accidentally designed to just
    pass the required tests, ignoring or misinterpreting the actual task requirements.
    Detecting such issues in arbitrary code is non-trivial and an ongoing research
    topic in software engineering. Software engineering research has yielded various
    semantic analysis frameworks, such as GitHub's CodeQL, which can be adapted for
    programming task assessment. We present a work-in-progress programming task analysis
    framework which employs CodeQL's analysis technology to identify the actual use
    of task-description-mandated syntactic and semantic elements such as loop structures
    or the use of mandated data blocks in branching conditions. This allows extending
    existing course work analysis frameworks to include a semantic check of an uploaded
    program which exceeds the relatively simple set of input-output test cases provided
    by unit tests. We use a running example of entry level programming tasks and several
    solution attempts to introduce and explain our proposed control flow and data
    flow -based analysis method. We discuss the benefits of including semantic analysis
    as an additional method in the automated programming task assessment toolbox.
    Our main contribution is the adaptation of an semantic analysis code framework
    to analyse syntactic and semantic components in students' programming coursework.
author:
- first_name: Leon
  full_name: Wehmeier, Leon
  id: '81257'
  last_name: Wehmeier
- first_name: Sebastian
  full_name: Eilermann, Sebastian
  last_name: Eilermann
- first_name: Oliver
  full_name: Niggemann, Oliver
  id: '10876'
  last_name: Niggemann
- first_name: Andreas
  full_name: Deuter, Andreas
  id: '62088'
  last_name: Deuter
  orcid: 0000-0002-6529-6215
citation:
  ama: Wehmeier L, Eilermann S, Niggemann O, Deuter A. <i>Task-Fidelity Assessment
    for Programming Tasks Using Semantic Code Analysis</i>. (IEEE ASEE Frontiers in
    Education Conference, Institute of Electrical and Electronics Engineers, American
    Society for Engineering Education, eds.). IEEE; 2024. doi:<a href="https://doi.org/10.1109/fie58773.2023.10342916">10.1109/fie58773.2023.10342916</a>
  apa: 'Wehmeier, L., Eilermann, S., Niggemann, O., &#38; Deuter, A. (2024). Task-fidelity
    Assessment for Programming Tasks Using Semantic Code Analysis. In IEEE ASEE Frontiers
    in Education Conference, Institute of Electrical and Electronics Engineers, &#38;
    American Society for Engineering Education (Eds.), <i>FIE 2023 : College Station,
    TX, USA, October 18-21, 2023 : conference proceedings  / 2023 IEEE Frontiers in
    Education Conference (FIE)</i>. IEEE. <a href="https://doi.org/10.1109/fie58773.2023.10342916">https://doi.org/10.1109/fie58773.2023.10342916</a>'
  bjps: '<b>Wehmeier L <i>et al.</i></b> (2024) <i>Task-Fidelity Assessment for Programming
    Tasks Using Semantic Code Analysis</i>, IEEE ASEE Frontiers in Education Conference,
    Institute of Electrical and Electronics Engineers, and American Society for Engineering
    Education (eds). [Piscataway, NJ]: IEEE.'
  chicago: 'Wehmeier, Leon, Sebastian Eilermann, Oliver Niggemann, and Andreas Deuter.
    <i>Task-Fidelity Assessment for Programming Tasks Using Semantic Code Analysis</i>.
    Edited by IEEE ASEE Frontiers in Education Conference, Institute of Electrical
    and Electronics Engineers, and American Society for Engineering Education. <i>FIE
    2023 : College Station, TX, USA, October 18-21, 2023 : Conference Proceedings 
    / 2023 IEEE Frontiers in Education Conference (FIE)</i>. [Piscataway, NJ]: IEEE,
    2024. <a href="https://doi.org/10.1109/fie58773.2023.10342916">https://doi.org/10.1109/fie58773.2023.10342916</a>.'
  chicago-de: 'Wehmeier, Leon, Sebastian Eilermann, Oliver Niggemann und Andreas Deuter.
    2024. <i>Task-fidelity Assessment for Programming Tasks Using Semantic Code Analysis</i>.
    Hg. von IEEE ASEE Frontiers in Education Conference, Institute of Electrical and
    Electronics Engineers, und American Society for Engineering Education. <i>FIE
    2023 : College Station, TX, USA, October 18-21, 2023 : conference proceedings 
    / 2023 IEEE Frontiers in Education Conference (FIE)</i>. [Piscataway, NJ]: IEEE.
    doi:<a href="https://doi.org/10.1109/fie58773.2023.10342916">10.1109/fie58773.2023.10342916</a>,
    .'
  din1505-2-1: '<span style="font-variant:small-caps;">Wehmeier, Leon</span> ; <span
    style="font-variant:small-caps;">Eilermann, Sebastian</span> ; <span style="font-variant:small-caps;">Niggemann,
    Oliver</span> ; <span style="font-variant:small-caps;">Deuter, Andreas</span>
    ; <span style="font-variant:small-caps;">IEEE ASEE Frontiers in Education Conference</span>
    ; <span style="font-variant:small-caps;">Institute of Electrical and Electronics
    Engineers</span> ; <span style="font-variant:small-caps;">American Society for
    Engineering Education</span> (Hrsg.): <i>Task-fidelity Assessment for Programming
    Tasks Using Semantic Code Analysis</i>. [Piscataway, NJ] : IEEE, 2024'
  havard: L. Wehmeier, S. Eilermann, O. Niggemann, A. Deuter, Task-fidelity Assessment
    for Programming Tasks Using Semantic Code Analysis, IEEE, [Piscataway, NJ], 2024.
  ieee: 'L. Wehmeier, S. Eilermann, O. Niggemann, and A. Deuter, <i>Task-fidelity
    Assessment for Programming Tasks Using Semantic Code Analysis</i>. [Piscataway,
    NJ]: IEEE, 2024. doi: <a href="https://doi.org/10.1109/fie58773.2023.10342916">10.1109/fie58773.2023.10342916</a>.'
  mla: 'Wehmeier, Leon, et al. “Task-Fidelity Assessment for Programming Tasks Using
    Semantic Code Analysis.” <i>FIE 2023 : College Station, TX, USA, October 18-21,
    2023 : Conference Proceedings  / 2023 IEEE Frontiers in Education Conference (FIE)</i>,
    edited by IEEE ASEE Frontiers in Education Conference et al., IEEE, 2024, <a href="https://doi.org/10.1109/fie58773.2023.10342916">https://doi.org/10.1109/fie58773.2023.10342916</a>.'
  short: L. Wehmeier, S. Eilermann, O. Niggemann, A. Deuter, Task-Fidelity Assessment
    for Programming Tasks Using Semantic Code Analysis, IEEE, [Piscataway, NJ], 2024.
  ufg: '<b>Wehmeier, Leon u. a.</b>: Task-fidelity Assessment for Programming Tasks
    Using Semantic Code Analysis, hg. von IEEE ASEE Frontiers in Education Conference/Institute
    of Electrical and Electronics Engineers, American Society for Engineering Education,
    [Piscataway, NJ] 2024.'
  van: 'Wehmeier L, Eilermann S, Niggemann O, Deuter A. Task-fidelity Assessment for
    Programming Tasks Using Semantic Code Analysis. IEEE ASEE Frontiers in Education
    Conference, Institute of Electrical and Electronics Engineers, American Society
    for Engineering Education, editors. FIE 2023 : College Station, TX, USA, October
    18-21, 2023 : conference proceedings  / 2023 IEEE Frontiers in Education Conference
    (FIE). [Piscataway, NJ]: IEEE; 2024.'
conference:
  end_date: 2023-10-21
  location: Texas
  name: 2023 IEEE Frontiers in Education Conference (FIE)
  start_date: 2023-10-18
corporate_editor:
- IEEE ASEE Frontiers in Education Conference
- Institute of Electrical and Electronics Engineers
- American Society for Engineering Education
date_created: 2025-06-18T13:05:11Z
date_updated: 2025-06-18T13:23:56Z
department:
- _id: DEP7022
- _id: DEP1306
- _id: DEP7001
doi: 10.1109/fie58773.2023.10342916
keyword:
- Codes
- Electronic learning
- Soft sensors
- Semantics
- Education
- Syntactics
- Task analysis
language:
- iso: eng
place: '[Piscataway, NJ]'
publication: 'FIE 2023 : College Station, TX, USA, October 18-21, 2023 : conference
  proceedings  / 2023 IEEE Frontiers in Education Conference (FIE)'
publication_identifier:
  eisbn:
  - 979-8-3503-3642-9
  isbn:
  - 979-8-3503-3643-6
publication_status: published
publisher: IEEE
status: public
title: Task-fidelity Assessment for Programming Tasks Using Semantic Code Analysis
type: conference_editor_article
user_id: '83781'
year: '2024'
...
---
_id: '13010'
abstract:
- lang: eng
  text: Especially in highly interdisciplinary fields such as automation engineering,
    contemporary programming education with tailored assignments and individual feedback
    is a major challenge for educational institutions due to the increasing number
    of students per teacher and the ever-increasing demand for computer science professionals.
    To address this gap, we present ”KIAAA” an AI Assistant for Automation Engineering
    Teaching, a work-in-progress approach for an integrated, customized, and AI-based
    learning support system for automation and programming courses based on instructor-defined
    course objectives. Thereby in the KIAAA system, the individual knowledge level
    of the students is determined and individually tailored virtual learning scenarios
    are generated based on the knowledge and learning profile of the students. These
    are iteratively adapted based on the answers given. To achieve this, KIAAA uses
    several AI components, a hybrid rule-based scenario generation component, a Help-DKT-based
    cognitive model, and a solution assessor that uses a combination of traditional
    code analysis methods and AI-based analyses methods for automated programming
    task assessment. These components are the main parts of KIAAA to generate customized
    programming scenarios as well as visualization and simulation based on a modern
    game and physics engine.
author:
- first_name: Sebastian
  full_name: Eilermann, Sebastian
  last_name: Eilermann
- first_name: Leon
  full_name: Wehmeier, Leon
  id: '81257'
  last_name: Wehmeier
- first_name: Oliver
  full_name: Niggemann, Oliver
  last_name: Niggemann
- first_name: Andreas
  full_name: Deuter, Andreas
  id: '62088'
  last_name: Deuter
  orcid: 0000-0002-6529-6215
citation:
  ama: 'Eilermann S, Wehmeier L, Niggemann O, Deuter A. <i>KIAAA: An AI Assistant
    for Teaching Programming in the Field of Automation</i>. (Jasperneite J, IEEE
    International Conference on Industrial Informatics , Institute of Electrical and
    Electronics Engineers, eds.). IEEE; 2023. doi:<a href="https://doi.org/10.1109/indin51400.2023.10218157">10.1109/indin51400.2023.10218157</a>'
  apa: 'Eilermann, S., Wehmeier, L., Niggemann, O., &#38; Deuter, A. (2023). KIAAA:
    An AI Assistant for Teaching Programming in the Field of Automation. In J. Jasperneite,
    IEEE International Conference on Industrial Informatics , &#38; Institute of Electrical
    and Electronics Engineers (Eds.), <i>2023 IEEE 21st International Conference on
    Industrial Informatics (INDIN)</i>. IEEE. <a href="https://doi.org/10.1109/indin51400.2023.10218157">https://doi.org/10.1109/indin51400.2023.10218157</a>'
  bjps: '<b>Eilermann S <i>et al.</i></b> (2023) <i>KIAAA: An AI Assistant for Teaching
    Programming in the Field of Automation</i>, Jasperneite J, IEEE International
    Conference on Industrial Informatics , and Institute of Electrical and Electronics
    Engineers (eds). [Piscataway, NJ]: IEEE.'
  chicago: 'Eilermann, Sebastian, Leon Wehmeier, Oliver Niggemann, and Andreas Deuter.
    <i>KIAAA: An AI Assistant for Teaching Programming in the Field of Automation</i>.
    Edited by Jürgen Jasperneite, IEEE International Conference on Industrial Informatics
    , and Institute of Electrical and Electronics Engineers. <i>2023 IEEE 21st International
    Conference on Industrial Informatics (INDIN)</i>. [Piscataway, NJ]: IEEE, 2023.
    <a href="https://doi.org/10.1109/indin51400.2023.10218157">https://doi.org/10.1109/indin51400.2023.10218157</a>.'
  chicago-de: 'Eilermann, Sebastian, Leon Wehmeier, Oliver Niggemann und Andreas Deuter.
    2023. <i>KIAAA: An AI Assistant for Teaching Programming in the Field of Automation</i>.
    Hg. von Jürgen Jasperneite, IEEE International Conference on Industrial Informatics
    , und Institute of Electrical and Electronics Engineers. <i>2023 IEEE 21st International
    Conference on Industrial Informatics (INDIN)</i>. [Piscataway, NJ]: IEEE. doi:<a
    href="https://doi.org/10.1109/indin51400.2023.10218157">10.1109/indin51400.2023.10218157</a>,
    .'
  din1505-2-1: '<span style="font-variant:small-caps;">Eilermann, Sebastian</span>
    ; <span style="font-variant:small-caps;">Wehmeier, Leon</span> ; <span style="font-variant:small-caps;">Niggemann,
    Oliver</span> ; <span style="font-variant:small-caps;">Deuter, Andreas</span>
    ; <span style="font-variant:small-caps;">Jasperneite, J.</span> ; <span style="font-variant:small-caps;">IEEE
    International Conference on Industrial Informatics </span> ; <span style="font-variant:small-caps;">Institute
    of Electrical and Electronics Engineers</span> (Hrsg.): <i>KIAAA: An AI Assistant
    for Teaching Programming in the Field of Automation</i>. [Piscataway, NJ] : IEEE,
    2023'
  havard: 'S. Eilermann, L. Wehmeier, O. Niggemann, A. Deuter, KIAAA: An AI Assistant
    for Teaching Programming in the Field of Automation, IEEE, [Piscataway, NJ], 2023.'
  ieee: 'S. Eilermann, L. Wehmeier, O. Niggemann, and A. Deuter, <i>KIAAA: An AI Assistant
    for Teaching Programming in the Field of Automation</i>. [Piscataway, NJ]: IEEE,
    2023. doi: <a href="https://doi.org/10.1109/indin51400.2023.10218157">10.1109/indin51400.2023.10218157</a>.'
  mla: 'Eilermann, Sebastian, et al. “KIAAA: An AI Assistant for Teaching Programming
    in the Field of Automation.” <i>2023 IEEE 21st International Conference on Industrial
    Informatics (INDIN)</i>, edited by Jürgen Jasperneite et al., IEEE, 2023, <a href="https://doi.org/10.1109/indin51400.2023.10218157">https://doi.org/10.1109/indin51400.2023.10218157</a>.'
  short: 'S. Eilermann, L. Wehmeier, O. Niggemann, A. Deuter, KIAAA: An AI Assistant
    for Teaching Programming in the Field of Automation, IEEE, [Piscataway, NJ], 2023.'
  ufg: '<b>Eilermann, Sebastian u. a.</b>: KIAAA: An AI Assistant for Teaching Programming
    in the Field of Automation, hg. von Jasperneite, Jürgen/IEEE International Conference
    on Industrial Informatics , Institute of Electrical and Electronics Engineers,
    [Piscataway, NJ] 2023.'
  van: 'Eilermann S, Wehmeier L, Niggemann O, Deuter A. KIAAA: An AI Assistant for
    Teaching Programming in the Field of Automation. Jasperneite J, IEEE International
    Conference on Industrial Informatics , Institute of Electrical and Electronics
    Engineers, editors. 2023 IEEE 21st International Conference on Industrial Informatics
    (INDIN). [Piscataway, NJ]: IEEE; 2023.'
conference:
  end_date: 2023-07-20
  location: Lemgo
  name: 21st International Conference on Industrial Informatics (INDIN)
  start_date: 2023-07-18
corporate_editor:
- 'IEEE International Conference on Industrial Informatics '
- Institute of Electrical and Electronics Engineers
date_created: 2025-06-24T09:24:47Z
date_updated: 2025-06-24T09:38:24Z
department:
- _id: DEP7022
- _id: DEP1306
- _id: DEP7001
doi: 10.1109/indin51400.2023.10218157
editor:
- first_name: Jürgen
  full_name: Jasperneite, Jürgen
  id: '1899'
  last_name: Jasperneite
keyword:
- Visualization
- Automation
- Education
- Games
- Hybrid power systems
- Task analysis
- Artificial intelligence
language:
- iso: eng
place: '[Piscataway, NJ]'
publication: 2023 IEEE 21st International Conference on Industrial Informatics (INDIN)
publication_identifier:
  eisbn:
  - 978-1-6654-9313-0
  isbn:
  - 978-1-6654-9314-7
publication_status: published
publisher: IEEE
quality_controlled: '1'
status: public
title: 'KIAAA: An AI Assistant for Teaching Programming in the Field of Automation'
type: conference_editor_article
user_id: '83781'
year: '2023'
...
---
_id: '2005'
abstract:
- lang: eng
  text: We present a method for the fast and robust linear classification of badly
    conditioned data. In our considerations, badly conditioned data are such data
    which are numerically difficult to handle. Due to, e.g. a large number of features
    or a large number of objects representing classes as well as noise, outliers or
    incompleteness, the common software computation of the discriminating linear combination
    of features between classes fails or is extremely time consuming. The theoretical
    foundations of our approach are based on the single feature ranking, which allows
    fast calculation of the approximative initial classification boundary. For the
    increasing of classification accuracy of this boundary, the refinement is performed
    in the lower dimensional space. Our approach is tested on several datasets from
    UCI Reposi-tiory. Experimental results indicate high classification accuracy of
    the approach. For the modern real industrial applications such a method is especially
    suitable in the Cyber-Physical-System environments and provides a part of the
    workflow for the automated classifier design
author:
- first_name: Helene
  full_name: Dörksen, Helene
  id: '46416'
  last_name: Dörksen
- first_name: Volker
  full_name: Lohweg, Volker
  id: '1804'
  last_name: Lohweg
  orcid: 0000-0002-3325-7887
citation:
  ama: 'Dörksen H, Lohweg V. Linear Classification of Badly Conditioned Data. . In:
    <i>23rd IEEE International Conference on Emerging Technologies and Factory Automation
    (ETFA)</i>. Torino, Italy; 2018. doi:<a href="https://doi.org/10.1109/ETFA.2018.8502485">10.1109/ETFA.2018.8502485</a>'
  apa: Dörksen, H., &#38; Lohweg, V. (2018). Linear Classification of Badly Conditioned
    Data. . In <i>23rd IEEE International Conference on Emerging Technologies and
    Factory Automation (ETFA)</i>. Torino, Italy. <a href="https://doi.org/10.1109/ETFA.2018.8502485">https://doi.org/10.1109/ETFA.2018.8502485</a>
  bjps: <b>Dörksen H and Lohweg V</b> (2018) Linear Classification of Badly Conditioned
    Data. . <i>23rd IEEE International Conference on Emerging Technologies and Factory
    Automation (ETFA)</i>. Torino, Italy.
  chicago: Dörksen, Helene, and Volker Lohweg. “Linear Classification of Badly Conditioned
    Data. .” In <i>23rd IEEE International Conference on Emerging Technologies and
    Factory Automation (ETFA)</i>. Torino, Italy, 2018. <a href="https://doi.org/10.1109/ETFA.2018.8502485">https://doi.org/10.1109/ETFA.2018.8502485</a>.
  chicago-de: 'Dörksen, Helene und Volker Lohweg. 2018. Linear Classification of Badly
    Conditioned Data. . In: <i>23rd IEEE International Conference on Emerging Technologies
    and Factory Automation (ETFA)</i>. Torino, Italy. doi:<a href="https://doi.org/10.1109/ETFA.2018.8502485,">10.1109/ETFA.2018.8502485,</a>
    .'
  din1505-2-1: '<span style="font-variant:small-caps;">Dörksen, Helene</span> ; <span
    style="font-variant:small-caps;">Lohweg, Volker</span>: Linear Classification
    of Badly Conditioned Data. . In: <i>23rd IEEE International Conference on Emerging
    Technologies and Factory Automation (ETFA)</i>. Torino, Italy, 2018'
  havard: 'H. Dörksen, V. Lohweg, Linear Classification of Badly Conditioned Data.
    , in: 23rd IEEE International Conference on Emerging Technologies and Factory
    Automation (ETFA), Torino, Italy, 2018.'
  ieee: H. Dörksen and V. Lohweg, “Linear Classification of Badly Conditioned Data.
    ,” in <i>23rd IEEE International Conference on Emerging Technologies and Factory
    Automation (ETFA)</i>,  Turin, Italy , 2018.
  mla: Dörksen, Helene, and Volker Lohweg. “Linear Classification of Badly Conditioned
    Data. .” <i>23rd IEEE International Conference on Emerging Technologies and Factory
    Automation (ETFA)</i>, 2018, doi:<a href="https://doi.org/10.1109/ETFA.2018.8502485">10.1109/ETFA.2018.8502485</a>.
  short: 'H. Dörksen, V. Lohweg, in: 23rd IEEE International Conference on Emerging
    Technologies and Factory Automation (ETFA), Torino, Italy, 2018.'
  ufg: '<b>Dörksen, Helene/Lohweg, Volker (2018)</b>: Linear Classification of Badly
    Conditioned Data. , in: <i>23rd IEEE International Conference on Emerging Technologies
    and Factory Automation (ETFA)</i>, Torino, Italy.'
  van: 'Dörksen H, Lohweg V. Linear Classification of Badly Conditioned Data. . In:
    23rd IEEE International Conference on Emerging Technologies and Factory Automation
    (ETFA). Torino, Italy; 2018.'
conference:
  end_date: 2018-09-07
  location: ' Turin, Italy '
  name: ' IEEE 23rd International Conference on Emerging Technologies and Factory
    Automation (ETFA) 2018'
  start_date: 2018-09-04
date_created: 2019-11-25T08:35:44Z
date_updated: 2023-03-15T13:49:38Z
department:
- _id: DEP5023
doi: 10.1109/ETFA.2018.8502485
keyword:
- Task analysis
- Software
- Linear discriminant analysis
- Dimensionality reduction
- Mathematical model
- Covariance matrices
- Measurement
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8502485
oa: '1'
place: Torino, Italy
publication: 23rd IEEE International Conference on Emerging Technologies and Factory
  Automation (ETFA)
status: public
title: 'Linear Classification of Badly Conditioned Data. '
type: conference
user_id: '15514'
year: 2018
...
---
_id: '10668'
abstract:
- lang: eng
  text: Digitalization has a significant impact on our working life and it allows
    whole industries to rethink their value chains. This paper examines how digitalization
    relates to complexity in work systems with respect to relevant organizational
    fields of work organization. 23 semi-structured interviews with experts from science
    and economy were conducted and analyzed. Key findings are that digitalization
    has far-reaching, interrelated implications for all organizational fields. Moreover,
    digitalization-related aspects were identified which have the potential to increase
    complexity in work systems.
author:
- first_name: Benedikt
  full_name: Latos, Benedikt
  id: '84474'
  last_name: Latos
- first_name: Markus
  full_name: Harlacher, Markus
  last_name: Harlacher
- first_name: Philipp M.
  full_name: Przybysz, Philipp M.
  last_name: Przybysz
- first_name: Susanne
  full_name: Mutze-Niewohner, Susanne
  last_name: Mutze-Niewohner
citation:
  ama: 'Latos B, Harlacher M, Przybysz PM, Mutze-Niewohner S. Transformation of working
    environments through digitalization: Exploration and systematization of complexity
    drivers. In: <i>2017 IEEE International Conference on Industrial Engineering and
    Engineering Management (IEEM)</i>. IEEE; 2018. doi:<a href="https://doi.org/10.1109/ieem.2017.8290059">10.1109/ieem.2017.8290059</a>'
  apa: 'Latos, B., Harlacher, M., Przybysz, P. M., &#38; Mutze-Niewohner, S. (2018).
    Transformation of working environments through digitalization: Exploration and
    systematization of complexity drivers. <i>2017 IEEE International Conference on
    Industrial Engineering and Engineering Management (IEEM)</i>. 2017 IEEE International
    Conference on Industrial Engineering and Engineering Management (IEEM), Singapore.
    <a href="https://doi.org/10.1109/ieem.2017.8290059">https://doi.org/10.1109/ieem.2017.8290059</a>'
  bjps: '<b>Latos B <i>et al.</i></b> (2018) Transformation of Working Environments
    through Digitalization: Exploration and Systematization of Complexity Drivers.
    <i>2017 IEEE International Conference on Industrial Engineering and Engineering
    Management (IEEM)</i>. IEEE.'
  chicago: 'Latos, Benedikt, Markus Harlacher, Philipp M. Przybysz, and Susanne Mutze-Niewohner.
    “Transformation of Working Environments through Digitalization: Exploration and
    Systematization of Complexity Drivers.” In <i>2017 IEEE International Conference
    on Industrial Engineering and Engineering Management (IEEM)</i>. IEEE, 2018. <a
    href="https://doi.org/10.1109/ieem.2017.8290059">https://doi.org/10.1109/ieem.2017.8290059</a>.'
  chicago-de: 'Latos, Benedikt, Markus Harlacher, Philipp M. Przybysz und Susanne
    Mutze-Niewohner. 2018. Transformation of working environments through digitalization:
    Exploration and systematization of complexity drivers. In: <i>2017 IEEE International
    Conference on Industrial Engineering and Engineering Management (IEEM)</i>. IEEE.
    doi:<a href="https://doi.org/10.1109/ieem.2017.8290059">10.1109/ieem.2017.8290059</a>,
    .'
  din1505-2-1: '<span style="font-variant:small-caps;">Latos, Benedikt</span> ; <span
    style="font-variant:small-caps;">Harlacher, Markus</span> ; <span style="font-variant:small-caps;">Przybysz,
    Philipp M.</span> ; <span style="font-variant:small-caps;">Mutze-Niewohner, Susanne</span>:
    Transformation of working environments through digitalization: Exploration and
    systematization of complexity drivers. In: <i>2017 IEEE International Conference
    on Industrial Engineering and Engineering Management (IEEM)</i> : IEEE, 2018'
  havard: 'B. Latos, M. Harlacher, P.M. Przybysz, S. Mutze-Niewohner, Transformation
    of working environments through digitalization: Exploration and systematization
    of complexity drivers, in: 2017 IEEE International Conference on Industrial Engineering
    and Engineering Management (IEEM), IEEE, 2018.'
  ieee: 'B. Latos, M. Harlacher, P. M. Przybysz, and S. Mutze-Niewohner, “Transformation
    of working environments through digitalization: Exploration and systematization
    of complexity drivers,” presented at the 2017 IEEE International Conference on
    Industrial Engineering and Engineering Management (IEEM), Singapore, 2018. doi:
    <a href="https://doi.org/10.1109/ieem.2017.8290059">10.1109/ieem.2017.8290059</a>.'
  mla: 'Latos, Benedikt, et al. “Transformation of Working Environments through Digitalization:
    Exploration and Systematization of Complexity Drivers.” <i>2017 IEEE International
    Conference on Industrial Engineering and Engineering Management (IEEM)</i>, IEEE,
    2018, <a href="https://doi.org/10.1109/ieem.2017.8290059">https://doi.org/10.1109/ieem.2017.8290059</a>.'
  short: 'B. Latos, M. Harlacher, P.M. Przybysz, S. Mutze-Niewohner, in: 2017 IEEE
    International Conference on Industrial Engineering and Engineering Management
    (IEEM), IEEE, 2018.'
  ufg: '<b>Latos, Benedikt u. a.</b>: Transformation of working environments through
    digitalization: Exploration and systematization of complexity drivers, in: o. Hg.:
    2017 IEEE International Conference on Industrial Engineering and Engineering Management
    (IEEM), o. O. 2018.'
  van: 'Latos B, Harlacher M, Przybysz PM, Mutze-Niewohner S. Transformation of working
    environments through digitalization: Exploration and systematization of complexity
    drivers. In: 2017 IEEE International Conference on Industrial Engineering and
    Engineering Management (IEEM). IEEE; 2018.'
conference:
  end_date: 2017-12-13
  location: Singapore
  name: 2017 IEEE International Conference on Industrial Engineering and Engineering
    Management (IEEM)
  start_date: 2017-12-10
date_created: 2023-10-30T13:02:52Z
date_updated: 2023-10-31T11:24:15Z
department:
- _id: DEP1522
doi: 10.1109/ieem.2017.8290059
extern: '1'
keyword:
- Complexity theory
- Interviews
- Organizations
- Industries
- Task analysis
- Acceleration
language:
- iso: eng
publication: 2017 IEEE International Conference on Industrial Engineering and Engineering
  Management (IEEM)
publication_identifier:
  eissn:
  - 2157-362X
publication_status: published
publisher: IEEE
status: public
title: 'Transformation of working environments through digitalization: Exploration
  and systematization of complexity drivers'
type: conference
user_id: '83781'
year: '2018'
...
---
_id: '265'
abstract:
- lang: eng
  text: The maintenance of a tool for injection molding or forming is usually accompanied
    by its disassembly and assembly. The duration of the assembly activities is often
    a large part of the total activity time for the maintenance of the tool. The degree
    of performance of the employees in the execution of these disassembly and assembly
    activities is often low. In addition, allowances occur (e.g. searching for work
    equipment). At the Industrial Engineering Lab of the Ostwestfalen-Lippe University
    of Applied Sciences, a prototype of an assistance system was developed to support
    the assembly activities in toolmaking. With the help of this system, the operator
    is guided step by step through the assembly process. The economic potential of
    the system exists in the reduction of training times, the avoidance of assembly
    errors and the increase of labor productivity.
author:
- first_name: Sven
  full_name: Hinrichsen, Sven
  id: '49010'
  last_name: Hinrichsen
- first_name: Daniel
  full_name: Riediger, Daniel
  id: '52263'
  last_name: Riediger
- first_name: Alexander
  full_name: Unrau, Alexander
  id: '64690'
  last_name: Unrau
citation:
  ama: 'Hinrichsen S, Riediger D, Unrau A. Development of a Projection-Based Assistance
    System for Maintaining Injection Molding Tools. In: IEEE/ IEEM, ed. <i>2017 IEEE
    International Conference on Industrial Engineering and Engineering Management
    (IEEM)</i>. Danvers; 2017:1571-1575. doi:<a href="https://doi.org/10.1109/IEEM.2017.8290157">https://doi.org/10.1109/IEEM.2017.8290157</a>'
  apa: Hinrichsen, S., Riediger, D., &#38; Unrau, A. (2017). Development of a Projection-Based
    Assistance System for Maintaining Injection Molding Tools. In IEEE/ IEEM (Ed.),
    <i>2017 IEEE International Conference on Industrial Engineering and Engineering
    Management (IEEM)</i> (pp. 1571–1575). Danvers. <a href="https://doi.org/10.1109/IEEM.2017.8290157">https://doi.org/10.1109/IEEM.2017.8290157</a>
  bjps: <b>Hinrichsen S, Riediger D and Unrau A</b> (2017) Development of a Projection-Based
    Assistance System for Maintaining Injection Molding Tools. In IEEE/ IEEM (ed.),
    <i>2017 IEEE International Conference on Industrial Engineering and Engineering
    Management (IEEM)</i>. Danvers, pp. 1571–1575.
  chicago: Hinrichsen, Sven, Daniel Riediger, and Alexander Unrau. “Development of
    a Projection-Based Assistance System for Maintaining Injection Molding Tools.”
    In <i>2017 IEEE International Conference on Industrial Engineering and Engineering
    Management (IEEM)</i>, edited by IEEE/ IEEM, 1571–75. Danvers, 2017. <a href="https://doi.org/10.1109/IEEM.2017.8290157">https://doi.org/10.1109/IEEM.2017.8290157</a>.
  chicago-de: 'Hinrichsen, Sven, Daniel Riediger und Alexander Unrau. 2017. Development
    of a Projection-Based Assistance System for Maintaining Injection Molding Tools.
    In: <i>2017 IEEE International Conference on Industrial Engineering and Engineering
    Management (IEEM)</i>, hg. von IEEE/ IEEM, 1571–1575. Danvers. doi:<a href="https://doi.org/10.1109/IEEM.2017.8290157,">https://doi.org/10.1109/IEEM.2017.8290157,</a>
    .'
  din1505-2-1: '<span style="font-variant:small-caps;">Hinrichsen, Sven</span> ; <span
    style="font-variant:small-caps;">Riediger, Daniel</span> ; <span style="font-variant:small-caps;">Unrau,
    Alexander</span>: Development of a Projection-Based Assistance System for Maintaining
    Injection Molding Tools. In: <span style="font-variant:small-caps;">IEEE/ IEEM</span>
    (Hrsg.): <i>2017 IEEE International Conference on Industrial Engineering and Engineering
    Management (IEEM)</i>. Danvers, 2017, S. 1571–1575'
  havard: 'S. Hinrichsen, D. Riediger, A. Unrau, Development of a Projection-Based
    Assistance System for Maintaining Injection Molding Tools, in: IEEE/ IEEM (Ed.),
    2017 IEEE International Conference on Industrial Engineering and Engineering Management
    (IEEM), Danvers, 2017: pp. 1571–1575.'
  ieee: S. Hinrichsen, D. Riediger, and A. Unrau, “Development of a Projection-Based
    Assistance System for Maintaining Injection Molding Tools,” in <i>2017 IEEE International
    Conference on Industrial Engineering and Engineering Management (IEEM)</i>, Singapore,
    2017, no. 1, pp. 1571–1575.
  mla: Hinrichsen, Sven, et al. “Development of a Projection-Based Assistance System
    for Maintaining Injection Molding Tools.” <i>2017 IEEE International Conference
    on Industrial Engineering and Engineering Management (IEEM)</i>, edited by IEEE/
    IEEM, no. 1, 2017, pp. 1571–75, doi:<a href="https://doi.org/10.1109/IEEM.2017.8290157">https://doi.org/10.1109/IEEM.2017.8290157</a>.
  short: 'S. Hinrichsen, D. Riediger, A. Unrau, in: IEEE/ IEEM (Ed.), 2017 IEEE International
    Conference on Industrial Engineering and Engineering Management (IEEM), Danvers,
    2017, pp. 1571–1575.'
  ufg: '<b>Hinrichsen, Sven et. al. (2017)</b>: Development of a Projection-Based
    Assistance System for Maintaining Injection Molding Tools, in: IEEE/ IEEM (Hg.):
    <i>2017 IEEE International Conference on Industrial Engineering and Engineering
    Management (IEEM)</i>, Danvers, S. 1571–1575.'
  van: 'Hinrichsen S, Riediger D, Unrau A. Development of a Projection-Based Assistance
    System for Maintaining Injection Molding Tools. In: IEEE/ IEEM, editor. 2017 IEEE
    International Conference on Industrial Engineering and Engineering Management
    (IEEM). Danvers; 2017. p. 1571–5.'
conference:
  end_date: 2017-12-13
  location: Singapore
  name: 'IEEE International Conference on Industrial Engineering and Engineering Management '
  start_date: 2017-12-10
corporate_editor:
- IEEE/ IEEM
date_created: 2018-11-26T11:59:27Z
date_updated: 2023-03-15T13:49:41Z
ddc:
- '620'
department:
- _id: DEP7020
- _id: DEP1305
doi: https://doi.org/10.1109/IEEM.2017.8290157
issue: '1'
keyword:
- injection moulding
- machine tools
- maintenance engineering
- productivity
- projection-based assistance system
- injection molding tools
- assembly activities
- assembly process
- assembly errors
- tool maintenance
- disassembly activities
- economic potential
- Industrial Engineering Lab
- Ostwestfalen-Lippe University of Applied Sciences
- toolmaking
- Tools
- Injection molding
- Maintenance engineering
- Usability
- Task analysis
- Workstations
- Morphology
- assembly assistance systems
- assistance systems
- maintenance of injection molding tools
- manual assembly
language:
- iso: eng
page: 1571-1575
place: Danvers
publication: 2017 IEEE International Conference on Industrial Engineering and Engineering
  Management (IEEM)
publication_identifier:
  isbn:
  - '978-1-5386-0948-4 '
quality_controlled: '1'
status: public
title: Development of a Projection-Based Assistance System for Maintaining Injection
  Molding Tools
type: conference
user_id: '74004'
year: 2017
...