Evaluation of Enriched Cyberspace for Adaptive Support of Remote Collaboration

Abstract

Due to the geographical distribution, different cognitive capacity, and different domain competency of workers or learners, many misunderstandings can occur during distributed remote collaboration, leading to inefficient discussions and undesired results. To make remote collaboration more efficient and dependable, enriching cyberspace through adaptively utilizing is proposed and evaluated. This assesses situations of remote users through information fusion of multiple biological sensors and the related contexts such as user profiles. Transmitting and using such information, the system adaptively supports the distributed remote collaboration by stressing, warning, and presenting keywords/summaries in multimedia. Effects of presenting keywords/summaries adaptively depending on situations are evaluated as to the decrease of not-/misunderstanding possibilities during the explanation on the Cyberspace. Moreover, the adaptive selection effects of keywords or summaries presentation depending on cognitive profiles of remote members are also evaluated. These evaluations demonstrate the feasibility and usefulness of the proposed method.