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<titleInfo><title>What you need to know about a learning robot: Identifying the enabling  architecture of complex systems</title></titleInfo>


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<name type="personal">
  <namePart type="given">Helen</namePart>
  <namePart type="family">Beierling</namePart>
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<name type="personal">
  <namePart type="given">Phillip</namePart>
  <namePart type="family">Richter</namePart>
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<name type="personal">
  <namePart type="given">Mara</namePart>
  <namePart type="family">Brandt</namePart>
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<name type="personal">
  <namePart type="given">Lutz</namePart>
  <namePart type="family">Terfloth</namePart>
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<name type="personal">
  <namePart type="given">Carsten</namePart>
  <namePart type="family">Schulte</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>
<name type="personal">
  <namePart type="given">Heiko</namePart>
  <namePart type="family">Wersing</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>
<name type="personal">
  <namePart type="given">Anna-Lisa</namePart>
  <namePart type="family">Vollmer</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>











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  <namePart>TRR 318 - B5: TRR 318 - Subproject B5</namePart>
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<abstract lang="eng">Nowadays we deal with robots and AI more and more in our everyday life. However, their behavior is not always apparent to most lay users, especially in error situations. This can lead to misconceptions about the behavior of the technologies being used. This in turn can lead to misuse and rejection by users. Explanation, for example through transparency, can address these misconceptions. However, explaining the entire software or hardware would be confusing and overwhelming for users. Therefore, this paper focuses on the ‘enabling’ architecture. It describes those aspects of a robotic system that may need to be explained to enable someone to use the technology effectively. Furthermore, this paper deals with the ‘explanandum’, i.e. the corresponding misunderstandings or missing concepts of the enabling architecture that need to be clarified. Thus, we have developed and are presenting an approach to determine the ‘enabling’ architecture and the resulting ‘explanandum’ of complex technologies.</abstract>

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<originInfo><publisher>Elsevier</publisher><dateIssued encoding="w3cdtf">2024</dateIssued>
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<language><languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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<subject><topic>Robotics HRI Explainability Didactics Didactic reconstruction</topic>
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<relatedItem type="host"><titleInfo><title>Cognitive Systems Research</title></titleInfo>
<part><detail type="volume"><number>88</number></detail>
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<ieee>H. Beierling &lt;i&gt;et al.&lt;/i&gt;, “What you need to know about a learning robot: Identifying the enabling  architecture of complex systems,” &lt;i&gt;Cognitive Systems Research&lt;/i&gt;, vol. 88, 2024.</ieee>
<mla>Beierling, Helen, et al. “What You Need to Know about a Learning Robot: Identifying the Enabling  Architecture of Complex Systems.” &lt;i&gt;Cognitive Systems Research&lt;/i&gt;, vol. 88, Elsevier, 2024.</mla>
<apa>Beierling, H., Richter, P., Brandt, M., Terfloth, L., Schulte, C., Wersing, H., &amp;#38; Vollmer, A.-L. (2024). What you need to know about a learning robot: Identifying the enabling  architecture of complex systems. &lt;i&gt;Cognitive Systems Research&lt;/i&gt;, &lt;i&gt;88&lt;/i&gt;.</apa>
<bibtex>@article{Beierling_Richter_Brandt_Terfloth_Schulte_Wersing_Vollmer_2024, title={What you need to know about a learning robot: Identifying the enabling  architecture of complex systems}, volume={88}, journal={Cognitive Systems Research}, publisher={Elsevier}, author={Beierling, Helen and Richter, Phillip and Brandt, Mara and Terfloth, Lutz and Schulte, Carsten and Wersing, Heiko and Vollmer, Anna-Lisa}, year={2024} }</bibtex>
<ama>Beierling H, Richter P, Brandt M, et al. What you need to know about a learning robot: Identifying the enabling  architecture of complex systems. &lt;i&gt;Cognitive Systems Research&lt;/i&gt;. 2024;88.</ama>
<short>H. Beierling, P. Richter, M. Brandt, L. Terfloth, C. Schulte, H. Wersing, A.-L. Vollmer, Cognitive Systems Research 88 (2024).</short>
<chicago>Beierling, Helen, Phillip Richter, Mara Brandt, Lutz Terfloth, Carsten Schulte, Heiko Wersing, and Anna-Lisa Vollmer. “What You Need to Know about a Learning Robot: Identifying the Enabling  Architecture of Complex Systems.” &lt;i&gt;Cognitive Systems Research&lt;/i&gt; 88 (2024).</chicago>
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