2023, Jeitziner, Loris Tizian, Paneth, Lisa, Rack, Oliver, Zahn, Carmen, Wulff, Dirk U., Damşa, Crina, Borge, Marcela, Koh, Elizabeth, Worsley, Marcelo

This study takes a NLP approach to measuring social engagement in CSCL-learning groups. Specifically, we develop linguistic markers to capture aspects of social engagement, namely sentiment, responsiveness and uniformity of participation and compare them to human ratings of social engagement. We observed small to moderate links between NLP-markers and human ratings that varied in size and direction across the different groups. We discuss measurement and prediction of social collaborative group engagement using natural language processing.

2020-07-10, Soldati, Marco, Zahn, Carmen, Bildibay, Doruk, Iseli, Tabea, Leisner, David, Niederhauser, Mario, Gao, Qin, Zhou, Jia

This paper presents a selection of game design concepts to promote social interaction between older people and players from other generations. Hardware-related interaction channels, game mechanics and game content can be used to trigger positive communication between several players. The proposed concepts are based on the experience of 32 game prototypes developed with and for the oldest seniors living in several Swiss nursing and retirement homes. The games are directed at the relatives to make their visits a pleasant and positively perceived experience, with the aim of increasing well-being of all involved.