Significant advances in mobile networks have taken place recently, specifically with regard to multi-hop wireless networks, including DTNs and sensor networks. A testing environment that is conducive to realistic evaluation of such networks and their protocols and services is critical. In our efforts toward realizing this goal, we propose a novel mobile testbed of two main components. The first consists of a network of robots with personality-mimicking, human-encounter behaviors, which is our focus for this work. The personality is built upon behavioral profiling of mobile users based on our extensive wireless-network analysis. The second component combines the testbed with human society using a new concept that we refer to as participatory testing utilizing crowd sourcing. We blend these two components in the design of our testbed to bridge the gap between controlled and uncontrolled environments. Our prototype testbed demonstrates a realistic mobile networking testbed that emulates human behavior based on profiles while providing a scalable and reproducible environment.In addition, we report on our initial actual implementation of the proposed testbed architecture using two iRobot Create, one HP iPAQ PDA and 9 Nokia tablet devices. Our initial results show that by incorporating personalities into the mobile nodes, they can use autonomous, distributed and efficient algorithms to identify communities based on profile similarity. Correlating such community identification with the mobility of the nodes can indeed result in behavior mimicking traced mobile communities in the real world. Our work is the first to investigate this direction and opens several promising opportunities for research in the area of mobile test beds with many variations in DTN evaluation and participatory networking.