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Interviews Aided with Machine Learning
Dezember IT GmbH, Germany.
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). (DISA ; DSIQ)ORCID iD: 0000-0003-1173-5187
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). (DISA ; DSIQ)ORCID iD: 0000-0002-7565-3714
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).ORCID iD: 0000-0002-0835-823X
2018 (English)In: Perspectives in Business Informatics Research. BIR 2018: 17th International Conference, BIR 2018, Stockholm, Sweden, September 24-26, 2018, Proceedings / [ed] Zdravkovic J., Grabis J., Nurcan S., Stirna J., Springer, 2018, Vol. 330, p. 202-216Conference paper, Published paper (Refereed)
Abstract [en]

We have designed and implemented a Computer Aided Personal Interview (CAPI) system that learns from expert interviews and can support less experienced interviewers by for example suggesting questions to ask or skip. We were particularly interested to streamline the due diligence process when estimating the value for software startups. For our design we evaluated some machine learning algorithms and their trade-offs, and in a small case study we evaluates their implementation and performance. We find that while there is room for improvement, the system can learn and recommend questions. The CAPI system can in principle be applied to any domain in which long interview sessions should be shortened without sacrificing the quality of the assessment.

Place, publisher, year, edition, pages
Springer, 2018. Vol. 330, p. 202-216
Series
Lecture Notes in Business Information Processing ; 330
National Category
Software Engineering
Research subject
Computer Science, Software Technology
Identifiers
URN: urn:nbn:se:lnu:diva-80974DOI: 10.1007/978-3-319-99951-7_14Scopus ID: 2-s2.0-85054349611ISBN: 978-3-319-99950-0 (print)ISBN: 978-3-319-99951-7 (electronic)OAI: oai:DiVA.org:lnu-80974DiVA, id: diva2:1293941
Conference
17th International Conference, BIR 2018, Stockholm, Sweden, September 24-26, 2018
Funder
Knowledge Foundation, 20150088Available from: 2019-03-05 Created: 2019-03-05 Last updated: 2019-08-29Bibliographically approved

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Ericsson, MorganLöwe, WelfWingkvist, Anna

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
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More styles
Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • asciidoc
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