Identification Of Change Patterns For The Generation Of Models Of Work As Done Using Eye Tracking


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Identification of Change Patterns for the Generation of Models of Work-as-Done using Eye-tracking


Identification of Change Patterns for the Generation of Models of Work-as-Done using Eye-tracking

Author: Arenius, Marcus

language: en

Publisher: kassel university press GmbH

Release Date: 2017-01-01


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In this PhD a method was developed to identify systematic patterns of change in visual attention allocation (change patterns). The change patterns were then integrated into the Functional Resonance Analysis Method (FRAM) for the generation of models of work-as-done. The change patterns were validated against known changes in visual attention allocation due to shifts in functions of work-as-done in several eye-tracking studies: three simulator studies, one field study and one experimental study. In total approx. 50 hours of eye-tracking data was analyzed. The results of the method were validated quantitatively and qualitatively. In the quantitative validation, the changes in visual attention allocation due to changes in functions were covered with a mean deviation of approx. 13 seconds averaged over all datasets (2% deviation relative to the recording lengths). In the qualitative validation, the change patterns produced were found to be plausible for the evaluated studies. Finally, it was demonstrated how the change patterns can be integrated into FRAM and potentially contribute to the understanding of emergent effects in industries with high levels of automation.

Innovating Education with AI


Innovating Education with AI

Author: Eric C. K. Cheng

language: en

Publisher: Springer Nature

Release Date: 2025-05-17


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This book delves into the intersection of technology and education, providing a comprehensive exploration of three key areas: technological issues in education, computer-supported collaborative work, and educational software and serious games. It goes beyond traditional discussions by focusing on the incorporation of Artificial Intelligence (AI) generative tools and their pedagogical implications, institutional policies, and ethical considerations. By addressing areas such as blended learning, social media integration, gamified learning experiences, and the incorporation of AI generative tools, this book provides educators, researchers, and practitioners with valuable insights into harnessing the power of technology, specifically AI, to enhance teaching and learning outcomes.

The AI Generation


The AI Generation

Author: Olaf Groth

language: en

Publisher: Simon and Schuster

Release Date: 2018-11-06


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An update edition of Solomon’s Code—now The A.I. Generation—the thought-provoking examination of artificial intelligence and how it reshapes human values, trust, and power around the world. Whether in medicine, money, or love, technologies powered by forms of artificial intelligence are playing an increasingly prominent role in our lives. As we cede more decisions to thinking machines, we face new questions about staying safe, keeping a job and having a say over the direction of our lives. The answers to those questions might depend on your race, gender, age, behavior, or nationality. New AI technologies can drive cars, treat damaged brains and nudge workers to be more productive, but they also can threaten, manipulate, and alienate us from others. They can pit nation against nation, but they also can help the global community tackle some of its greatest challenges—from food crises to global climate change. In clear and accessible prose, global trends and strategy adviser Olaf Groth, AI scientist and social entrepreneur Mark Nitzberg, along with seasoned economics reporter Dan Zehr, provide a unique human-focused, global view of humanity in a world of thinking machines.


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