Data and Code underlying the PhD dissertation on Cognitive Assistants to Share Knowledge among Factory Operators (dataset)

Data and Code underlying the PhD dissertation on Cognitive Assistants to Share Knowledge among Factory Operators

doi:10.4121/c2b34533-233b-4145-afd9-f2e0ad997736.v1

The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/c2b34533-233b-4145-afd9-f2e0ad997736

Datacite citation style:

Kernan Freire, Samuel (2024): Data and Code underlying the PhD dissertation on Cognitive Assistants to Share Knowledge among Factory Operators. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/c2b34533-233b-4145-afd9-f2e0ad997736.v1

Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

usage stats

views

downloads

categories

keywords

chatbot, cognitive assistant, ethnography, factory operators, industry 5.0, information retrieval, knowledge management, knowledge sharing, LLM, manufacturing, NLP, user experience

licence

CC BY 4.0

export as...

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Samuel Kernan Freire

The data and code contained in this collection stem from the research conducted as part of Samuel Kernan Freire's PhD dissertation. The data was collected during empirical and ethnographic studies on conversational AI assistants to support knowledge sharing among factory operators. The research objective was to deepen our knowledge of the opportunities, challenges, impacts, and risks associated with deploying such systems, enabling us to create design guidelines. The data (in CSV format) includes quantitative data for user experience, usability, and workload using standardized surveys. It also contains qualitative data (in CSV format) in the form of comments from factory personnel collected through semi-structured interviews and surveys. We also included the code (python and yaml format) for one of the assistants. The READMEs in the folders contain additional information regarding the methods used. Ethical approval for the collection of data was given by TU Delft's Human Research Ethics Committee. Personally identifiable and confidential data has been removed from the dataset to enable open access.

history