International Journal of Social and Humanistic Computing
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International Journal of Social and Humanistic Computing (2 papers in press)
Simulation Analysis of the Wild Animal Observation System by Lin Hui, Kuei Min Wang Abstract: There are many animal species have extinct from the earth because of the behavior of human being, such as killing and the change of habitat environment due to climate change, contamination and pollution, etc. The close-in observation is a way for counting and identifying the animal, which is on the verge of distinction. The conven-tional way in animal observation is by vehicle/foot on land and by vessel at sea that is not only man-power consuming, but costly, ineffective and weather limited. This paper aims at using a new information technology for dolphin observation instead of man-power on board vessel. A concept of responsive action in observation operation is applied carrying out by an information-based observation system which consists of hy-drophone laid on the sea floor, camera/IR camera carried by Quadrocopter, and land control center. For verifying the effectiveness of this information-based observation system, the Monte Carlo simulation model is developed. The results showed this in-formation-based observation system is more effective than the man-power, and the concept of the search in area of uncertainty (AOU) can make a significant improvement in detecting dolphin. Keywords: Dolphin; Hydrophone; Information-based observation system; Simulation; UAV.
A Survey on the Influence of Developer Emotions on Software Coding Productivity by Mohammed R. Anany, Heba M.W. Hussein, Sherif G. Aly Abstract: Software coding productivity indicators and associated influencing factors have always been topics of increased attention. Little focus was given to the understanding of the influence of contextual information, and in specific, user emotions during the software coding process. Such understanding can eventually pave the way to emotion-based mechanisms to enhance software coding productivity in stressful work environments. In this paper, we survey the major research efforts found in literature to develop an understanding of human emotions in relation to its effect on software coding productivity. To achieve this, we first highlight the main contributions for eliciting user emotions, including their properties, representation, limitations, and available APIs. We then report on our survey of the important factors that influence software coding productivity and various metrics to measure it. Our intent is to focus on productivity aspects measured over short durations of time, and not only measuring effort consumed in software coding alone. We then report on the studies that were conducted to investigate the impact of emotions on the productivity of developers. Some studies performed sentiment analysis on text, while others relied on biometric sensors to perform measurements. Most studies, however, relied on selfassessment to obtain data. Overall, the limited number of studies and the inconsistencies in the findings suggest the need for more effective ways to detect users emotions and related productivity during software development activities. Keywords: Emotions; affects; software productivity; developer productivity; measurement; influence; survey; coding.