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Requirements for AI Support in Occupational Safety Risk Analysis

dc.contributor.authorWesthoven, Martin
dc.contributor.editorMühlhäuser, Max
dc.contributor.editorReuter, Christian
dc.contributor.editorPfleging, Bastian
dc.contributor.editorKosch, Thomas
dc.contributor.editorMatviienko, Andrii
dc.contributor.editorGerling, Kathrin|Mayer, Sven
dc.contributor.editorHeuten, Wilko
dc.contributor.editorDöring, Tanja
dc.contributor.editorMüller, Florian
dc.contributor.editorSchmitz, Martin
dc.date.accessioned2022-08-31T09:43:08Z
dc.date.available2022-08-31T09:43:08Z
dc.date.issued2022
dc.description.abstractRisk analysis in occupational safety settings is becoming more complex with the ever faster influx of innovative technologies. Even for less complex work places, smaller enterprises already struggle to keep up due to a lack of specialist personnel and missing systematic safety processes. One approach to support occupational safety risk analysis is to use artificial intelligence techniques to support the process. To investigate the requirements of designing such a system, in this paper we report results from six expert interviews with occupational safety experts from a German government agency and highlight which sub-tasks can be supported by AI and what the most significant issues for an appropriate UI design are.en
dc.description.urihttps://dl.acm.org/doi/10.1145/3543758.3547576en
dc.identifier.doi10.1145/3543758.3547576
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/39275
dc.language.isoen
dc.publisherACM
dc.relation.ispartofMensch und Computer 2022 - Tagungsband
dc.relation.ispartofseriesMensch und Computer
dc.subjectRequirements Elicitation
dc.subjectExpert Interviews
dc.subjectArtificial Intelligence
dc.subjectOccupational Safety And Health
dc.subjectRisk Analysis
dc.titleRequirements for AI Support in Occupational Safety Risk Analysisen
dc.typeText/Conference Paper
gi.citation.endPage557
gi.citation.publisherPlaceNew York
gi.citation.startPage553
gi.conference.date4.-7. September 2022
gi.conference.locationDarmstadt
gi.conference.sessiontitleMCI-POSTER
gi.document.qualitydigidoc

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