Context Aware Middleware for Supporting Idea Generation Meetings in Smart Decision Rooms

Abstract

In a globalized world members of groups may be anywhere, and the need for ubiquitous Idea Generation emerged. This led to two main needs: the creation of Smart Decision Rooms prepared for this new reality and following the Ambient Intelligence paradigm; and the creation of context aware middleware. This paper describes OLAVAmI a context aware middle-ware system which was tested in LAID environment, a Smart Meeting Room. OLAVAmI allows video production focusing on the speaker, an audio-to-text conversion service, and the multimedia database of meetings produced in an autonomous way. To experiment OLAVAmI usage and functionalities one of the tools present in LAID test bed was used and the results are presented in this article.

A Survey on Smart Meeting Rooms and Open Issues

“…From the analyses of several projects we are able to categorize them in two sections: the projects that focus on the Operational Layer which only cover Pervasive and Ubiquitous Computing, HCI, Sensors and Networks areas, who approach the problem based on an Information System approach [10] [14]; and the ones that are also targeting the Intelligent Layer which propose developments in semantic processing and thus falling down on the Artifici al Intelligence (AI) area [6,9,11,13,[15][16][17][18][19][20]26].…”

“…This section includes features like Person Identification; Speech Recognition; Summarization [19]; Attention Detection -like detecting who is looking at what or whom during a meeting; relevant Hot Spot Recognition that refer to parts of a discussion in which participants are highly involved like heated arguments, points of excitement, etc. ; Activity Recognition [19], that distinct individual activities and group activities where the group ones are the most important and include human social behaviors, like proposing an idea, commenting, expressing a positive opinion, and requesting information.…”

“…; Activity Recognition [19], that distinct individual activities and group activities where the group ones are the most important and include human social behaviors, like proposing an idea, commenting, expressing a positive opinion, and requesting information. Example projects are M4 (Multi Modal Meeting Manager) [11], AMI (Augmented Multi-party Interaction) and ORIGAmI [13].…”

Using virtual reality (VR) simulation to help developing a smart meeting space with AI Product to support moderator

“…Several attempts have been made to help achieving smart meeting in an ambient environment, remote meeting, meeting analysis and so on. Freitas, Carlos Filipe, et al developed a context aware middleware for supporting idea generation meetings in smart decision rooms (Freitas et al, 2011). Sfikas et al using IoT approach to implement and manage a smart room (Sfikas, Akasiadis, and Spyrou, 2016).…”