Search Word(s) in Title, Keywords, Authors, and Abstract: Human Factor

Task Assignment Model for Crowdsourcing Software Development: TAM
Muhammad Zahid Tunio, Haiyong Luo, Cong Wang, Fang Zhao, Abdul Rehman Gilal and Wenhua Shao
Page: 621~630, Vol. 14, No.3, 2018
10.3745/JIPS.04.0064

Keywords: Crowdsourced, Human Factor, Personality Type, Software Development, Task Assignment
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Selection of a suitable task from the extensively available large set of tasks is an intricate job for the developers in crowdsourcing software development (CSD). Besides, it is also a tiring and a time-consuming job for the platform to evaluate thousands of tasks submitted by developers. Previous studies stated that managerial and technical aspects have prime importance in bringing success for software development projects, however, these two aspects can be more effective and conducive if combined with human aspects. The main purpose of this paper is to present a conceptual framework for task assignment model for future research on the basis of personality types, that will provide a basic structure for CSD workers to find suitable tasks and also a platform to assign the task directly. This will also match their personality and task. Because personality is an internal force which whittles the behavior of developers. Consequently, this research presented a Task Assignment Model (TAM) from a developers point of view, moreover, it will also provide an opportunity to the platform to assign a task to CSD workers according to their personality types directly.


A Dual Modeling Method for a Real-Time Palpation Simulator
Sang-Youn Kim, Sekil Park and Jinah Park
Page: 55~66, Vol. 8, No.1, 2012
10.3745/JIPS.2012.8.1.055
Keywords: Haptic Feedback, Dual Model, Palpation, Real-Time Simulation, S-chain Model
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This paper presents a dual modeling method that simulates the graphic and haptic behavior of a volumetric deformable object and conveys the behavior to a human operator. Although conventional modeling methods (a mass-spring model and a finite element method) are suitable for the real-time computation of an object"'"s deformation, it is not easy to compute the haptic behavior of a volumetric deformable object with the conventional modeling method in real-time (within a 1kHz) due to a computational burden. Previously, we proposed a fast volume haptic rendering method based on the S-chain model that can compute the deformation of a volumetric non-rigid object and its haptic feedback in real-time. When the S-chain model represents the object, the haptic feeling is realistic, whereas the graphical results of the deformed shape look linear. In order to improve the graphic and haptic behavior at the same time, we propose a dual modeling framework in which a volumetric haptic model and a surface graphical model coexist. In order to inspect the graphic and haptic behavior of objects represented by the proposed dual model, experiments are conducted with volumetric objects consisting of about 20,000 nodes at a haptic update rate of 1000Hz and a graphic update rate of 30Hz. We also conduct human factor studies to show that the haptic and graphic behavior from our model is realistic. Our experiments verify that our model provides a realistic haptic and graphic feeling to users in real-time.