A1 Refereed original research article in a scientific journal
Can robots possess knowledge? Rethinking the DIK(W) pyramid through the lens of employees of an automotive factory
Authors: Hautala Johanna
Publisher: SPRINGERNATURE
Publication year: 2021
Journal: Humanities & social sciences communications
Journal name in source: HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS
Journal acronym: HUM SOC SCI COMMUN
Article number: ARTN 212
Volume: 8
Number of pages: 10
eISSN: 2662-9992
DOI: https://doi.org/10.1057/s41599-021-00893-9
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/67211798
Knowledge, information, and data are increasingly processed in human-robot collaboration. This study tackles two requirements for revising the concepts of knowledge, information, and data. First is developing robots' knowledge capabilities and transparency and ensuring effective division of tasks between humans and robots to increase the productivity of robotised factories. Employees' interpretations of robots' abilities to possess knowledge reveal their assumptions of robots' possibilities and limitations to create knowledge-based products with humans. Second, the classic DIK(W) pyramid of data, information, knowledge, and wisdom is a theoretical construct requiring additional empirical research. This empirical exploratory study develops the DIK(W) further and applies it as a tool to understand employees' perspectives of robots and knowledge. Do people believe robots possess knowledge? What kind of knowledge can (or cannot) robots possess? A survey (n = 269) was collected from the most robotised factory in Finland, Valmet Automotive. Half of the respondents think robots can possess knowledge, but only with humans. These respondents were more likely to trust robots compared to those who think robots cannot possess knowledge. As the key contribution, the DIK(W) pyramid is reconceived by (i) acknowledging robots and humans, (ii) turning the pyramid upside down, and (iii) recognising knowledge as a dividing concept.
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