Exploring Individual Differences in Workload Assessment

Air Force missions continue to increase in complexity often imposing higher levels of task load from cognitive tasks on the operators. This increased task load manifests itself in increased cognitive workload and potentially derogated performance. While cognitive workload has been studied for decades, recent advances in objective workload models and physiology monitoring have the potential to provide a more robust understanding of workload, potentially allowing systems to adaptively employ automation to maintain operator peak performance. The current research sought to provide insight into the relationship between subjective workload, task performance, objective workload, and select physiology measures. Analysis of an existing data set was performed to determine if individuals exhibiting low performance and high workload were more likely to have physiology responses that increased with workload due to a stress response than other participants. This analysis provides an approach to investigating the relationships among the four classes of workload information. However, the results indicate that certain physiology measures are significantly correlated with objective workload, regardless of the performance and workload range of the participants. Unfortunately, relatively low correlations were observed among all dependent measures and therefore, further research is necessary to confidently address the hypothesis of the current research

DEVELOPMENT AND ASSESSMENT OF ADVANCED ASSISTIVE ROBOTIC MANIPULATORS USER INTERFACES

Text BoxAssistive Robotic Manipulators (ARM) have shown improvement in self-care and increased independence among people with severe upper extremity disabilities. With an ARM mounted on the side of an electric powered wheelchair, an ARM may provide manipulation assistance, such as picking up object, eating, drinking, dressing, reaching out, or opening doors. However, existing assessment tools are inconsistent between studies, time consuming, and unclear in clinical effectiveness. Therefore, in this research, we have developed an ADL task board evaluation tool that provides standardized, efficient, and reliable assessment of ARM performance. Among powered wheelchair users and able-bodied controls using two commercial ARM user interfaces – joystick and keypad, we found that there were statistical differences between both user interface performances, but no statistical difference was found in the cognitive loading. The ADL task board demonstrated highly correlated performance with an existing functional assessment tool, Wolf Motor Function Test. Through this study, we have also identified barriers and limits in current commercial user interfaces and developed smartphone and assistive sliding-autonomy user interfaces that yields improved performance. Testing results from our smartphone manual interface revealed statistically faster performance. The assistive sliding-autonomy interface helped seamlessly correct the error seen with autonomous functions. The ADL task performance evaluation tool may help clinicians and researchers better access ARM user interfaces and evaluated the efficacy of customized user interfaces to improve performance. The smartphone manual interface demonstrated improved performance and the sliding-autonomy framework showed enhanced success with tasks without recalculating path planning and recognition

Flexible robotic control via co-operation between an operator and an ai-based control system

This thesis addresses the problem of variable autonomy in teleoperated mobile robots. Variable autonomy refers to the approach of incorporating several different levels of autonomous capabilities (Level(s) of Autonomy (LOA)) ranging from pure teleoperation (human has complete control of the robot) to full autonomy (robot has control of every capability), within a single robot. Most robots used for demanding and safety critical tasks (e.g. search and rescue, hazardous environments inspection), are currently teleoperated in simple ways, but could soon start to benefit from variable autonomy. The use of variable autonomy would allow Artificial Intelligence (AI) control algorithms to autonomously take control of certain functions when the human operator is suffering a high workload, high cognitive load, anxiety, or other distractions and stresses. In contrast, some circumstances may still necessitate direct human control of the robot. More specifically, this thesis is focused on investigating the issues of dynamically changing LOA (i.e. during task execution) using either Human-Initiative (HI) orMixed-Initiative (MI) control. MI refers to the peer-to-peer relationship between the robot and the operator in terms of the authority to initiate actions and LOA switches. HI refers to the human operators switching LOA based on their judgment, with the robot having no capacity to initiate LOA switches. A HI and a novel expert-guided MI controller are presented in this thesis. These controllers were evaluated using a multidisciplinary systematic experimental framework, that combines quantifiable and repeatable performance degradation factors for both the robot and the operator. The thesis presents statistically validated evidence that variable autonomy, in the form of HI and MI, provides advantages compared to only using teleoperation or only using autonomy, in various scenarios. Lastly, analyses of the interactions between the operators and the variable autonomy systems are reported. These analyses highlight the importance of personality traits and preferences, trust in the system, and the understanding of the system by the human operator, in the context of HRI with the proposed controllers

At-Risk Student-Athletes and Academic Achievement: Experiences of Successful and Unsuccessful First Year Collegiate Football Players

The academic development of collegiate football players has become a concern in higher education during recent years (Knight Commission, 2010; LaForge & Hodge, 2011; NCAA, 2009). The purpose of this qualitative study was to gain insight into the first semester experiences of academically successful and unsuccessful first year collegiate football players. In particular, this study attempted to identify the variables that academically successful and unsuccessful football players perceived to have impacted their academic performance during their first semester. An intensity sample of Division I freshman football players who performed well academically during the Fall 2010 semester ( n=6) and a sample of Division I freshman football players who did not perform well academically during the Fall 2010 semester (n=6) were interviewed for this study. Emergent themes that arose from the data analysis for the successful student-athlete group included: academic motivation, facilitators of academic success, time management, academic preparation, limited involvement, and academic skills. For the academically unsuccessful student-athlete group the relevant themes included: academic motivation, barriers to academic success, time management, academic preparation, limited involvement, and lack of autonomy. The findings from this study provide insight into potential factors that may be useful in identifying student-athletes at risk for academic problems and for designing interventions to address academic performance