Papers
. (2017). Information Technology and the U.S. Workforce. https://doi.org/10.17226/24649
. (2018). Investigating ergonomics in the context of human-robot collaboration as a sociotechnical system (Vol. 784, pp. 127 - 135; ). In (Vol. 784, pp. 127 - 135). https://doi.org/10.1007/978-3-319-94346-6_12
. (2018). Lecture Notes in Computer ScienceArtificial General IntelligenceTowards a Sociological Conception of Artificial Intelligence (Vol. 10999, pp. 130 - 139; ). In (Vol. 10999, pp. 130 - 139). https://doi.org/10.1007/978-3-319-97676-1
. (2018). Lecture Notes in Computer ScienceDesign, User Experience, and Usability: Theory and PracticeComparing Human Against Computer Generated Designs: New Possibilities for Design Activity Within Agile Projects (Vol. 10918, pp. 693 - 710; ). In (Vol. 10918, pp. 693 - 710). https://doi.org/10.1007/978-3-319-91797-9_48
. (2018). Machine intelligence: Blessing or curse? It depends on us! (pp. 25 - 39; ). In (pp. 25 - 39). https://doi.org/10.1007/978-3-319-90869-4_4
. (2018). Machine Learning for Ecology and Sustainable Natural Resource ManagementMachine Learning and ‘The Cloud’ for Natural Resource Applications: Autonomous Online Robots Driving Sustainable Conservation Management Worldwide? (pp. 353 - 377; ). In (pp. 353 - 377). https://doi.org/10.1007/978-3-319-96978-7_18
. (2018). Machine Learning for Ecology and Sustainable Natural Resource ManagementUse of Machine Learning (ML) for Predicting and Analyzing Ecological and ‘Presence Only’ Data: An Overview of Applications and a Good Outlook (pp. 27 - 61; ). In (pp. 27 - 61). https://doi.org/10.1007/978-3-319-96978-7_2
. (2015). Mining programming activity to promote help (pp. 23 - 42; ). In (pp. 23 - 42). https://doi.org/10.1007/978-3-319-20499-4_2
. (2019). Moral reasoning at work automation and ethics (pp. 69 - 77). In (pp. 69 - 77). Retrieved de 10.1007/978-3-030-15191-1_8
. (2017). Oxford research encyclopedia of psychology. https://doi.org/10.1093/acrefore/9780190236557.013.15
. (1911). The Principles of Scientific Management. New York: Norton & Company.
. (2017). Refining the concept of scientific inference when working with big data. https://doi.org/10.17226/24654
. (2018). The role of technological progress and structural change in the labour market (pp. 15 - 41; ). In (pp. 15 - 41). https://doi.org/10.1007/978-3-319-90548-8_2
. (2018). The social consequences of the digital revolution (Vol. 6). In (Vol. 6). https://doi.org/10.30687/2610-968910.30687/978-88-6969-273-410.30687/978-88-6969-273-4/008
. (2019). Steps toward a scaffolding design framework (pp. 149 - 161; ). In (pp. 149 - 161). https://doi.org/10.1007/978-3-030-12334-5_5
. (2019). Technology and Work Worth Doing (Not Jobs) Post-AlphaGo: A World-Building Workshop on the Future of Artificial Intelligence. https://doi.org/10.7249/CF398
. (2019). Toward a conceptual framework for understanding AI action and legal reaction (Vol. 11489, pp. 453 - 459; ). In (Vol. 11489, pp. 453 - 459). https://doi.org/10.1007/978-3-030-18305-9_44
. (2018). Understanding tasks, automation, and the national health service (Vol. 10766, pp. 544 - 549; ). In (Vol. 10766, pp. 544 - 549). https://doi.org/10.1007/978-3-319-78105-1_60
. (1980). Work Redesign. Reading, MA: Addison-Wesley.
. (1997). Automation surprises. In Handbook of Human Factors and Ergonomics (pp. 1926–1943).
. (2019). Machine learning for clinical psychology and clinical neuroscience. In researchgate.net. Retrieved de https://www.researchgate.net/publication/331000572_Machine_Learning_for_Clinical_Psychology_and_Clinical_Neuroscience
. (2018). Machine Learning in Wildlife Biology: Algorithms, Data Issues and Availability, Workflows, Citizen Science, Code Sharing, Metadata and a Brief Historical Perspective. In , Machine Learning for Ecology and Sustainable Natural Resource Management (pp. 3 - 26). https://doi.org/10.1007/978-3-319-96978-7_1
. (1981). The socio-technical perspective: The evolution of socio-technical systems as a conceptual framework and action research program. In , Perspectives in Organization Design and Behavior (pp. 32–47). London: John Wiley.