Driver psychology is one of the most difficult phenomena to model in the realm of traffic flow theory because mathematics often cannot capture the human factors involved with driving a car. Over the past several decades, many models have attempted to model driver aggressiveness with varied results. The recently proposed Longitudinal Control Model (LCM) makes such an attempt, and this paper offers evidence of the LCM's usefulness in modeling road dynamics by analyzing deceleration rates that are commonly associated with various levels of aggression displayed by drivers. The paper is roughly divided into three sections, one outlining the LCM's ability to quantify forces between passive and aggressive drivers on a microscopic level, one describing the LCM's ability to measure aggressiveness of platoons of drivers, and the last explaining the meaning of the model’s derivative. The paper references some attempts to capture driver aggressiveness made by classic car-following models, and endeavors to offer some new ideas in study of driver characteristics and traffic flow theory.

Studien belyser flygtrafikledningssystemet Mil i-ATC och flygledares upplevelser av systemet och larmhanteringen. Arbetet genomfördes på uppdrag av Combitech med syfte att undersöka och skapa förståelse för hur flygledare interagerar med systemet och fattar beslut i samband med inkommande larm. För att fånga användarens perspektiv genomfördes två observationer och tolv semistrukturerade intervjuer med erfarna flygledare, och för att analysera data tillämpades metoderna Cognitive Task Analysis (CTA) och Tematisk analys. Resultatet av CTA presenterades i form av ett flödesschema, vilket tillsammans med den tematiska analysen och tidigare forskning bidrog till en diskussion kring vidmakthållande ur ett användarperspektiv samt framtagandet av förbättringsförslag.Resultatet indikerade att det är en komplex uppgift att designa användargränssnitt för ett system som kantas och är beroende av användares egna erfarenheter och bedömningar. Larmtext i kombination med färgkodning visade sig vara ett effektivt verktyg för att ge användaren en snabb överblick och bedöma allvarlighetsgraden av ett inkommande larm. En risk som identifierades var fenomenet Cry Wolf, där flygledare tenderade att underskatta allvarlighetsgraden vid upprepade larm inom korta tidsintervaller. Förslag på åtgärder för att undvika risken för Cry Wolf-fenomenet är att skapa en lista för långtidskvittering samt implementera en ny larmsignal för kritiska larm. Vid implementering av nya funktioner är det av yttersta vikt att genomföra noggranna tester för att undvika tvetydigheter och alternativa tolkningar av informationen som presenteras. Felaktig eller otydlig design kan orsaka problem, och eftersom människan är en essentiell del inom flygledning är det nödvändigt och betydelsefullt att utveckla system som betraktar människan som en del av systemet, med syfte att förebygga mänskligt felhandlande.

Indiana University-Purdue University Indianapolis (IUPUI) / Empirical research on the uncanny valley has primarily been concerned with visual elements. The current study is intended to show how manipulating auditory variables of the stimuli affect participant’s ratings. The focus of research is to investigate whether an uncanny valley effect occurs when humans are exposed to stimuli that have an incongruity between auditory and visual aspects. Participants were exposed to sets of stimuli which are both congruent and incongruent in their levels of audio/visual humanness. Explicit measures were used to explore if a mismatch in the human realism of facial and vocal aspects produces an uncanny valley effect and attempt to explain a possible cause of this effect. Results indicate that an uncanny valley effect occurs when humans are exposed to stimuli that have an incongruity between auditory and visual aspects.

<p>Despite its status as a commonly used and seemingly vital talent management system, performance management has received an abundance of criticism surrounding its effectiveness and utility in organizations. Existing deficiencies in performance management are largely attributed to gaps in its strategy and implementation, with researchers arguing that organizations need to spend more effort supporting personnel engagement in <em>informal</em>, “everyday” performance management behaviors to drive performance. The present study sought to expand on existing performance management research by investigating: 1) how supervisor engagement in <em>informal </em>performance management behaviors influences employee perceptions of <em>overall </em>performance management and 2) how <em>employee </em>feedback orientation and implicit person theory potentially alter those perceptions. The hypothesized model was tested using an online survey sent through Prolific academic to a random sample of 351 full-time United States employees. A series of hierarchical regressions revealed that employee perceptions of performance management were positively predicted by supervisor engagement in informal performance management behaviors. However, employee feedback orientation and implicit person theory were not found to significantly moderate these effects. The present study contributes to performance management literature by examining the degree to which informal supervisor performance management behaviors shape employee reactions to performance management. Implications, limitations, and directions for future research are discussed. </p>

This dissertation contributes an enhanced understanding of team cognition, in general, and collaborative problem solving (CPS), specifically, through an integration of methods that measure team interaction dynamics and knowledge building as it occurs during a complex CPS task. The need for better understanding CPS has risen in prominence as many organizations have increasingly worked to address complex problems requiring the combination of diverse sets of individual expertise to achieve solutions for novel problems. Towards this end, the present research drew from theoretical and empirical work on Macrocognition in Teams that describes the knowledge coordination arising from team communications during CPS. It built from this by incorporating the study of team interaction during complex collaborative cognition. Interaction between team members in such contexts has proven to be inherently dynamic and exhibiting nonlinear patterns not accounted for by extant research methods. To redress this gap, the present research drew from work in cognitive science designed to study social and team interaction as a nonlinear dynamical system. CPS was examined by studying knowledge building and interaction processes of 43 dyads working on NASA's Moonbase Alpha simulation, a CPS task. Both non-verbal and verbal interaction dynamics were examined. Specifically, frame-differencing, an automated video analysis technique, was used to capture the bodily movements of participants and content coding was applied to the teams' communications to characterize their CPS processes. A combination of linear (i.e., multiple regression, t-test, and time-lagged cross-correlation analysis), as well as nonlinear analytic techniques (i.e., recurrence quantification analysis; RQA) were applied. In terms of the predicted interaction dynamics, it was hypothesized that teams would exhibit synchronization in their bodily movements and complementarity in their communications and further, that teams more strongly exhibiting these forms of coordination will produce better problem solving outcomes. Results showed that teams did exhibit a pattern of bodily movements that could be characterized as synchronized, but higher synchronization was not systematically related to performance. Further, results showed that teams did exhibit communicative interaction that was complementary, but this was not predictive of better problem solving performance. Several exploratory research questions were proposed as a way of refining the application of these techniques to the investigation of CPS. Results showed that semantic code-based communications time-series and %REC and ENTROPY recurrence-based measures were most sensitive to differences in performance. Overall, this dissertation adds to the scientific body of knowledge by advancing theory and empirical knowledge on the forms of verbal and non-verbal team interaction during CPS, but future work remains to be conducted to identify the relationship between interaction dynamics and CPS performance.

Raising the bar in safety performance is a critical challenge for many organizations. Contributing factor taxonomies organize information on why accidents occur. Therefore, they are essential elements of accident investigations and safety reporting systems. Organizations must balance efforts to identify causes of specific accidents with efforts to evaluate systemic safety issues in order to become more proactive about improving safety. This research successfully addressed two problems: (1) limited methods and metrics exist to support the design of effective taxonomies, and (2) influence relationships between contributing factors are not explicitly modeled within a taxonomy. The primary result of the taxonomic relationship modeling efforts was an innovative "dual role" contributing factor taxonomy with significant improvements in comprehensiveness and diagnosticity over existing taxonomies. The influence map methodology was the result of a unique graphical and analytical combination of the dual role taxonomy and influence relationship models. Influence maps were developed for several safety incidents at Kennedy Space Center. An independent assessment was conducted by a team of experts using the new dual role taxonomy and influence chain methodology to evaluate the accuracy and completeness of contributing factors identified during the formal incident investigations. One hundred and sixteen contributing factors were identified using the influence map methodology. Only 16% of these contributing factors were accurately identified with traditional tools, and over half of the 116 contributing factors were completely unaddressed by the findings and recommendations of the formal incident reports. The new methodology is being applied to improve spaceport operations and enhance designs of future NASA launch systems.

Since human errors are one of the major causes of flight accidents, the design and operation of the modern aircraft system deals with them seriously. Particularly, the pilot workload on aviation causes human errors. Whenever new procedures are introduced and operated, the aircraft capabilities have been checked in every aspect. However, there has been little study on the impact of the new procedures such as LDLP, SCDA, SATS, and Steep Angle approach on the pilot performance, workload, and stress. In this study, different methods have been tried to understand the relationship between new procedures and the pilots in terms of performance, workload, and stress. The flight factors (e.g. flight experience, gliding angle, and approach area) were examined by the pilot performance, workload, and stress at the "Final Approach to L/D" phase using the single engine Cessna 172R type flight simulator. Five students and five instructor pilots from Embry-Riddle Aeronautical University in Dayton Beach, Florida, participated and they flew under four different simulation tasks of gliding angle and approach area. Their Heart Rate Variability (HRV) and NASA-Task Load Index (TLX) were measured to determine their stress level and subjective workload, respectively. In addition, Landing Performance (LP) data (e.g. landing distance, landing speed) and Above Glide Path Tracking Performance (AGPTP) data were also collected to evaluate pilot performance. As a result, the type of approach area showed a significant effect on pilot performance, workload, and stress determined by ANOVA (HRV, TLX, LP, AGPTP: all are p < .05). Flying over "Populated" area (e.g. a large city) resulted in lower pilot performance and higher pilot workload and stress than that over "Non-Populated" area (e.g. a grass field). Similarly, the levels of a gliding angle showed the statistical difference on the performance, workload, and stress (HRV, TLX, and LP: all are p < .05). During the flight with 4.5 degree, the pilots showed lower performance with higher workload and stress. However, the levels of the flight experience did not have any influence on the performance, workload, and stress levels (AGPTP, LP, TLX, HRV: all are p > .05). In conclusion, flying in Populated area and flying with a 4.5 degree gliding angle increases the workload and stress level of the pilots. In addition, when the pilots were flying over Populated area at Final Approach to L/D phase, they showed lower performance on tracking the glide path. Based on the results, stresses and workload can have a significant impact on flight performance. Therefore, in order to reduce the workload and stress that can cause human errors, it is highly recommended to carefully examine the impact of new flight procedures on pilot workload and stress before they are implemented.

When it comes to video games, immersion is key. All types of games aim to keep the player immersed in some form or another. A common aspect of the immersive world in most role-playing games -- but not exclusive to the genre -- is the non-playable character (NPC). At their best, NPCs play an integral role to the sense of immersion the player feels by behaving in a way that feels believable and fits within the world of the game. However, due to lack of innovation in this area of video games, at their worst NPCs can jar the player out of the immersive state of flow with unnatural behavior. In an effort towards making non-playable characters (NPCs) in games smarter, more believable, and more immersive, a method based in psychological theory for controlling the behavior of NPCs was developed. Based on a behavior model similar to most modern games, our behavior model for NPCs traverses a behavior tree. A novel method was introduced using the five-factor model of personality (also known as the big-five personality traits) and the circumplex model of affect (a model of emotion) to inform the traversal of the behavior tree of NPCs. This behavior model has two main beneficial outcomes. The first is emergent gameplay, resulting in unplanned, unpredictable experiences in games which feel closer to natural behavior, leading to an increase in immersion. This can be used for complex storytelling as well by offering information about an NPC's personality to be used in the narrative of games. Secondly, the model is able to provide the emotional status of an NPC in real time. This capability allows developers to programmatically display facial and body expression, eschewing the current time-consuming approach of artist-choreographed animation. Finally, a maze simulation environment was constructed to test the results of our behavior model and procedural animation. The data collected from 100 iterations in our maze simulation environment about our behavior model found that a correlation can be observed between traits and actions, showing that emergent gameplay can be achieved by varying personality traits. Additionally, by incorporating a novel method for procedural animation based on real-time emotion data, a more realistic representation of human behavior is achieved.

Human factors and ergonomics (HF/E) plays a crucial role in business success but is particularly vital to the furniture manufacturing industry. Unfortunately, the furniture manufacturing industry suffers from occupational injuries and illnesses resulting from ergonomically poorly designed systems. This thesis’s objective was to better understand HF/E through the furniture manufacturing industry’s managerial knowledge and opinions in order to design more productive, safer, and healthier systems. The study also aimed to raise manager awareness in the industry and introduce the potential HF/E benefits by providing current literature. Sixtyour American furniture manufacturing industry managers participated in a web-based questionnaire survey. The survey revealed that managers’ demographic properties and companies’ characteristics were some factors that affect managers’ awareness, knowledge, and opinions on HF/E. In general, managers were unfamiliar with HF/E and lacked a broad background on and knowledge of HF/E. In addition, companies, particularly small companies, lacked sufficient resources for HF/E.

No description available.