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Description
In this research work, a novel control system strategy for the robust control of an unmanned ground vehicle is proposed. This strategy is motivated by efforts to mitigate the problem for scenarios in which the human operator is unable to properly communicate with the vehicle. This novel control system strategy

In this research work, a novel control system strategy for the robust control of an unmanned ground vehicle is proposed. This strategy is motivated by efforts to mitigate the problem for scenarios in which the human operator is unable to properly communicate with the vehicle. This novel control system strategy consisted of three major components: I.) Two independent intelligent controllers, II.) An intelligent navigation system, and III.) An intelligent controller tuning unit. The inner workings of the first two components are based off the Brain Emotional Learning (BEL), which is a mathematical model of the Amygdala-Orbitofrontal, a region in mammalians brain known to be responsible for emotional learning. Simulation results demonstrated the implementation of the BEL model to be very robust, efficient, and adaptable to dynamical changes in its application as controller and as a sensor fusion filter for an unmanned ground vehicle. These results were obtained with significantly less computational cost when compared to traditional methods for control and sensor fusion. For the intelligent controller tuning unit, the implementation of a human emotion recognition system was investigated. This system was utilized for the classification of driving behavior. Results from experiments showed that the affective states of the driver are accurately captured. However, the driver's affective state is not a good indicator of the driver's driving behavior. As a result, an alternative method for classifying driving behavior from the driver's brain activity was explored. This method proved to be successful at classifying the driver's behavior. It obtained results comparable to the common approach through vehicle parameters. This alternative approach has the advantage of directly classifying driving behavior from the driver, which is of particular use in UGV domain because the operator's information is readily available. The classified driving mode was used tune the controllers' performance to a desired mode of operation. Such qualities are required for a contingency control system that would allow the vehicle to operate with no operator inputs.
ContributorsVargas-Clara, Alvaro (Author) / Redkar, Sangram (Thesis advisor) / McKenna, Anna (Committee member) / Cooke, Nancy J. (Committee member) / Arizona State University (Publisher)
Created2015
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Description
The 21st-century professional or knowledge worker spends much of the working day engaging others through electronic communication. The modes of communication available to knowledge workers have rapidly increased due to computerized technology advances: conference and video calls, instant messaging, e-mail, social media, podcasts, audio books, webinars, and much more. Professionals

The 21st-century professional or knowledge worker spends much of the working day engaging others through electronic communication. The modes of communication available to knowledge workers have rapidly increased due to computerized technology advances: conference and video calls, instant messaging, e-mail, social media, podcasts, audio books, webinars, and much more. Professionals who think for a living express feelings of stress about their ability to respond and fear missing critical tasks or information as they attempt to wade through all the electronic communication that floods their inboxes. Although many electronic communication tools compete for the attention of the contemporary knowledge worker, most professionals use an electronic personal information management (PIM) system, more commonly known as an e-mail application and often the ubiquitous Microsoft Outlook program. The aim of this research was to provide knowledge workers with solutions to manage the influx of electronic communication that arrives daily by studying the workers in their working environment. This dissertation represents a quest to understand the current strategies knowledge workers use to manage their e-mail, and if modification of e-mail management strategies can have an impact on productivity and stress levels for these professionals. Today’s knowledge workers rarely work entirely alone, justifying the importance of also exploring methods to improve electronic communications within teams.
ContributorsCounts, Virginia (Author) / Parrish, Kristen (Thesis advisor) / Allenby, Braden (Thesis advisor) / Landis, Amy (Committee member) / Cooke, Nancy J. (Committee member) / Arizona State University (Publisher)
Created2018
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Description在科创企业中,知识型员工占据绝大比重,如何调动知识型员工的工作积极性,激发其更有效地投入时间和精力、贡献知识对企业持续成长十分关键。现有研究关注到授权管理对员工激励的重要性,但仅强调制度形式上的授权,忽视了员工主观感知层面的授权,授权激励的有效性难以保障。另外,由于知识型员工的自主性、独立性较高,管理者仅强调结果性激励,忽视了员工在过程中需要的帮助和支持,从而难以提高工作效率。本研究从心理感知视角出发,探讨了知识型员工的心理授权和工作投入度之间的关系,并进一步分析组织创新氛围的调节作用。本研究收集了8家科创企业,共421份有效问卷,通过信度、效度和共同方法偏差分析后,利用回归分析验证了心理授权对工作投入度的促进作用。具体来看,心理授权前三个维度的工作意义、自主性、自我效能对工作投入度三个维度活力、奉献和专注都有正向的促进作用,而第四个维度工作影响对奉献的正向作用显著,对其他维度的影响不显著。在组织创新氛围的调节方面,发现领导躬行、上级支持、团队协力正向调节自主性与奉献之间的关系,而在其他关系中的影响不显著。意味着当员工能够自行安排工作实施方式和进度时,充分的组织支持能够提高其投入时间和精力意愿,而对于体现工作精神状态的活力和专注没有显著影响。另外,组织促进,即组织宽松自由的氛围,负向调节自主性与工作专注度的关系,意味着高度工作授权和过于宽松的氛围,容易滋生懒散行为,反而会降低工作效率。 在实践方面,科创企业需要充分关注员工主观感知到的工作授权,并在工作目标和内容明确的情况下,对工作方式和进度进行有效控制。其次,企业领导者要以身作则,打造和谐和互相帮助的文化氛围,以保证员工在日常工作可获得足够的帮助。另外,工作授权需要张弛有度,过度宽松的工作方式和氛围容易降低员工的专注度,反而会降低工作效率。
ContributorsFeng, Hua (Author) / Zhang, John (Thesis advisor) / Shi, Weilei (Thesis advisor) / Jiang, Zhan (Committee member) / Arizona State University (Publisher)
Created2022