This proceedings is focused on the emerging concept of Collaborative Innovation Networks (COINs). COINs are at the core of collaborative knowledge networks, distributed communities taking advantage of the wide connectivity and the support of communication technologies, spanning beyond the organizational perimeter of companies on a global scale. The book presents the refereed conference papers from the 7th International Conference on COINs, October 8-9, 2019, in Warsaw, Poland. It includes papers for both application areas of COINs, (1) optimizing organizational creativity and performance, and (2) discovering and predicting new trends by identifying COINs on the Web through online social media analysis. Papers at COINs19 combine a wide range of interdisciplinary fields such as social network analysis, group dynamics, design and visualization, information systems and the psychology and sociality of collaboration, and intercultural analysis through the lens of online social media. They will cover most recent advances in areas from leadership and collaboration, trend prediction and data mining, to social competence and Internet communication.
Table des matières
“No Pain No Gain”: Predicting Creativity Through Body Signals.- Using Body Signals and Facial Expressions to Study the Norms that Drive Creative Collaboration.- Measuring Audience and Actor Emotions at a Theater Play through Automatic Emotion Recognition from Face, Speech, and Body Sensors.- Measuring Moral Values with Smartwatch-based Body Sensors.- Measuring Workload and Performance of Surgeons Using Body Sensors of Smartwatches.- Exploring the Impact of Environmental and Human Factors on Operational Performance of a Logistics Hub.- Heart Beats Brain – Measuring Moral Beliefs through E-Mail Analysis.- Identifying Virtual Tribes by their Language in Enterprise Email Archives.- Digital Coworker. Human-AI Collaboration in Work Environment, on the Example of Virtual Assistants for Management Professions.- Collaborative Innovation Network in Robotics.- A structured Approach to GDPR Compliance.- An Ecosystem for Collaborative Pattern Language Acquisition.
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