Collaboration Technologies and Social Computing: 7th by Takaya Yuizono, Gustavo Zurita, Nelson Baloian, Tomoo Inoue,
By Takaya Yuizono, Gustavo Zurita, Nelson Baloian, Tomoo Inoue, Hiroaki Ogata
This e-book constitutes the refereed complaints of the seventh overseas convention on Collaboration applied sciences, CollabTech 2014, held in Santiago, Chile, in September 2014. the ten revised complete papers offered including four brief papers and a keynote have been conscientiously reviewed and chosen from 34 submissions. The papers are prepared in topical sections on Collaborative challenge fixing; wisdom paintings and CSCW projects; Co-Dining help; Augmented fact and robotic; studying aid Systems.
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Extra info for Collaboration Technologies and Social Computing: 7th International Conference, CollabTech 2014, Santiago, Chile, September 8-10, 2014. Proceedings
Example text
8 shows the average scores of individual subjects for calculated activity time. From Fig. 8, total activity time is properly calculated to some extent. Since the ratings depend on how much each subject used applications that are compatible with our logger, long-term evaluation and evaluation considering each subject’s work style are needed. As to the primary activity time, our current method is not insufficient. Since calculating primary activity time adequately requires both good topic estimation and good activity time calculation, we should refine our methods.
Describe an empirical study on floor control in [15], but their objective of their study is different from the one we examine here. Our objective is to obtain a better understanding of which token-based protocols work best for improving the performance of small teams. We measure this by the time taken to perform a task and by a self-reported collaborator satisfaction score. A better understanding of which protocol to use in a given situation can lead to better team performance and greater team satisfaction, particularly when teams are newly established or temporary in nature.
Describe an empirical study on floor control in [15], but their objective of their study is different from the one we examine here. Our objective is to obtain a better understanding of which token-based protocols work best for improving the performance of small teams. We measure this by the time taken to perform a task and by a self-reported collaborator satisfaction score. A better understanding of which protocol to use in a given situation can lead to better team performance and greater team satisfaction, particularly when teams are newly established or temporary in nature.