Designing AI Assistants for Novices: Bridging Knowledge Gaps in Onboarding

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dc.contributor.authorHolstein, Joshua
dc.contributor.authorMüller, Patrick
dc.contributor.authorVössing, Michael
dc.contributor.authorFromm, Hansjoerg
dc.date.accessioned2024-12-26T21:07:32Z
dc.date.available2024-12-26T21:07:32Z
dc.date.issued2025-01-07
dc.description.abstractThe rapid advancements of artificial intelligence (AI) have led to its widespread adoption in enhancing productivity across various domains, including both personal productivity and workplace efficiency. Despite these advancements, the effective onboarding of novices, particularly in complex environments with extensive documentation, remains a significant challenge. Therefore, this paper explores the design of AI assistants to support novices. Utilizing a design science research approach, we collaborate with a leading pharmaceutical manufacturer to develop and evaluate an AI assistant to support novices during their onboarding. Grounded in scaffolding theory, we identify two design requirements and propose three design principles: Metadata Filtering, Graduated Complexity, and Sequential Query Generation. The evaluation of these principles demonstrates the AI assistant's effectiveness in generating accurate and contextually relevant responses, facilitating the onboarding of novices. This study provides valuable insights into the design of AI assistants, contributing to the theoretical understanding of AI-driven scaffolding and practical applications in complex industrial settings.
dc.format.extent10
dc.identifier.doi10.24251/HICSS.2025.456
dc.identifier.isbn978-0-9981331-8-8
dc.identifier.otherb61cd247-6100-4f2e-938c-e38f9f5c4d76
dc.identifier.urihttps://hdl.handle.net/10125/109300
dc.relation.ispartofProceedings of the 58th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectArtificial Intelligence-based Assistants and Platforms
dc.subjectai assistants, human-ai collaboration, large language model, onboarding
dc.titleDesigning AI Assistants for Novices: Bridging Knowledge Gaps in Onboarding
dc.typeConference Paper
dc.type.dcmiText
prism.startingpage3780

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