How humans interact with each other has a great impact on how humans influence and collaborate with each other. In recent years, domains in computer science such as social signal processing, affective computing, and social computing have emerged. The aim of these fields is to address the problem of how machines can perceive how humans feel and behave in order to predict and influence human behaviour. Recently, in these fields, the trends have moved from controlled lab experiments to perception in uncontrolled real life settings, leading to significant technical challenges. This is a great need to gather more data to train, validate, and test methods for behaviour perception, modelling, and synthesis. Meanwhile, in social science, many scholars have been forced to move away from behavioural studies towards surveys due to journal pressure for larger experimental data sizes. The move away from behavioral studies has been recognized as a major bottleneck for the future of social science in general [7]. Fortunately, there still remain a number of group scholars who are actively pursuing behavioral research. Data are collected and meticulously labelled for further numerical analysis. These carefully crafted data are currently rarely made available to the general research community. However, they provide vital data for training automated methods to interpret, synthesise and influence human social behaviour: something which would be of great benefit to reserachers in the NIRICT community.
- Hayley Hung (Assistant Professor) Socially Perceptive Computing Lab Department of Intelligent Systems Delft University of Technology
- Dirk Heylen (Professor) Human Media Interaction University of Twente
- Josette Gevers (Associate Professor) Department of Industrial Engineering & Innovation Sciences Human Performance Management Technical University of Eindhoven
- Zeena Harakeh (Assistant Professor) Interdisciplinary Social Science: Cultural Diversity and Youth Social Sciences University of Utrecht
- Nale Lehmann-Willenbrock (Professor) Industrial/Organizational Psychology Faculty of Psychology and Human Movement Science University of Hamburg