MobiGroup: Enabling Lifecycle Support to Social Activity Organization and Suggestion With Mobile Crowd Sensing

Abstract

Abstract-This paper presents a group-aware mobile crowd sensing system called MobiGroup, which supports group activity organization in real world settings. Acknowledging the complexity and diversity of group activities, this paper introduces a formal concept model to characterize group activities and classifies them into four organizational stages. We then present an intelligent approach to support group activity preparation, including a heuristic rule-based mechanism for advertising public activity and a context-based method for private group formation. In addition, we leverage features extracted from both online and offline communities to recommend ongoing events to attendees with different needs. Compared to the baseline method, people preferred public activities suggested by our heuristic rule-based method. Using a dataset collected from 45 participants we found that the context-based approach for private group formation can attain a precision and recall of over 80%, and the usage of spatial-temporal contexts and group computing can have more than a 30% performance improvement over considering the interaction frequency between a user and related groups. A case study revealed that, by extracting the features such as dynamic intimacy and static intimacy, our cross-community approach for ongoing event recommendation can meet different user needs.

Do Monetary Incentives Influence Users’ Behavior in Participatory Sensing?

“…One of the unique features of participatory sensing is that it entirely relies on participants, who are expected to properly and truthfully collect and submit information to the campaign author in a timely manner. On one hand, it is essential to precisely understand the context in which participants collect the data [ 23 , 24 , 25 , 26 ]. On the other hand, participants may be indifferent or even reluctant to contribute this much-needed information due to various reasons, such as the concern of privacy, the cost of mobile data and the extra battery consumption.…”

GARSAaaS: group activity recognition and situation analysis as a service

“…Group activity recognition in contextaware computing is a process of detecting or inferring of members' collective activity who are performing the same activity or collaborating and interacting to achieve a particular and more complex goal. A number of studies have been conducted in this area which can be categorized into two main categories: 1) vision-based [10] and 2) sensor-based [18]. Inherently, working with sensor data, especially mobile device sensor data, is very challenging.…”

Recognition of Group Mobility Level and Group Structure with Mobile Devices

“…In recent years, lots of efforts have been focused on group dynamics, e.g., group detection, intra-group relations, and group behaviors [1], [6], [16], [17], [18], [22], [23], [27]. Prior work has emphasized the need for a better understanding of group dynamics and only touched on group mobility patterns and the leadership relation in a group.…”