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Titlebook: Collaboration Technologies and Social Computing; 29th International C Hideyuki Takada,D. Moritz Marutschke,Davinia Herna Conference proceed

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Kenju Akai,Keiko Aoki,Kenta Onoshirof depression takes a significant amount of time and requires highly skilled medical staff, which greatly limits its accessibility. Social media analysis for depression detection is therefore a rapidly growing research area. However, most of the available methods can only detect the presence or absen
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Lab-Forming Fields and Field-Forming Labs affect the moral behavior of individuals. In this study, we analyze peer influence in the context of case-based learning activity in ethics education. To conduct this type of activity, we introduce EthicRankings, a groupware environment that enables students to analyze an ethical case and reason ab
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Lab-Forming Fields and Field-Forming Labsence (CS) context. A first essential distinction has to be made between different user types such as organizations and individuals. We have applied and evaluated different machine learning approaches for this purpose. On this basis, we have analyzed networks based on different Twitter relations to c
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Amir Taabodi,Tomohiko Sakao,Mattias Lindahl potential to be caregivers or companions, the discussion of meal similarity between participants and agents is lacking. In this study, to achieve better social facilitation and the sense of eating together by a co-eating agent, we focused on the effects of meal similarity on eating amount and subje
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