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Recently, most of context-aware services are trying to exploit the emotional contexts of the target users. The aim of this conceptual paper is to discuss affective lifelogging framework which can recognize the emotions by integrating multimodal information from multiple sources. Moreover, we will mention the open problems on affective lifelogging.
Exploring social events from Social Network Services (SNSs) (known as detecting events) has been studied in many researches because of its challenges. Most of researches focus on detecting events based on textual context. In this paper, we propose a novel framework using media data for not only systematically identifying events but also ranking these events. Firstly, we detect events from the photos...
It has been previously established that high cognitive load influences driving performance, but is the driver's perception of their experience while driving also influenced by cognitive load? To our knowledge, little evaluation has taken place regarding the investigation of such an effect of cognitive load on user experience, especially in the automotive domain. This paper introduces motivation and...
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