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The use of observational tools in psychological assessment has decreased in recent years, mainly due to its personnel and time costs, and researchers have not explored methodological innovations like adaptive algorithms in observational assessment. In the present study, we introduce the behavior-driven observation procedure to develop, test, and implement observational adaptive instruments. In Study 1, we use a preexisting observational checklist to evaluate nonverbal behaviors related to psychotic symptoms and to specify the adaptive algorithm's model. We fit the model to observational data collected from 114 participants. The results support the model's goodness of fit. In Study 2, we use the estimated model parameters to calibrate the adaptive procedure and test the algorithm for accuracy and efficiency in adaptively reconstructing 58 nonadaptively collected response patterns. The results show the algorithm's good accuracy and efficiency, with a 40% average reduction in the number of administered items. In Study 3, we used real raters to test the adaptive checklist built with behavior-driven observation. The results indicate adequate intrarater agreement and good consistency of the observed response patterns. In conclusion, the results support the possibility of using behavior-driven observation to create accurate and affordable (in terms of resources) observational assessment tools.

Operating on a frequency band occupying several nonoverlapping channels, IEEE 802.11 is now widely used in Wireless Mesh Networks (WMNs). Many multichannel MAC protocols are proposed to improve the spatial reuse in the network under the assumption that the transmissions on nonoverlapping channels do not interfere with each other. Some joint routing and channel assignment algorithms are also designed to increase the network throughput based on the premise that we can switch between different channels freely. Although simulations show that great improvements on network throughput can be observed in both cases, two fundamental questions remain: 1) Can we really use multiple nonoverlapping channels freely in WMNs? 2)11 we can, what will be the cost when we switch channels dynamically and frequently? In this paper, by conducting extensive experiments on our testbed, we attempt to answer these questions. We find that in spite of interference between both overlapping and nonoverlapping channels, we can still use multiple channels in mesh networks under certain conditions but with care. We also show that the channel switching cost is actually very significant in WMNs. We recommend not to switch the channels too frequently when designing the channel assignment algorithms, and those channel assignment algorithms selecting one channel for each packet are not really beneficial. [ABSTRACT FROM AUTHOR]