Proceedings of the Human Factors and Ergonomics Society Annual Meeting

Journal Information
ISSN / EISSN: 21695067 / 10711813
Published by: SAGE Publications
Total articles ≅ 11,890

Latest articles in this journal

Seobin Choi, Jieon Lee, Gwanseob Shin
Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Volume 65, pp 1490-1493; https://doi.org/10.1177/1071181321651197

Abstract:
Stiff-knee, which indicates reduced range of knee flexion, may decrease gait stability. Although it is closely related to an increase in fall risk, the effect of limited knee flexion on the balance capacity during walking has not been well studied. This study aimed at examining how walking with limited knee flexion would influence the center of pressure (COP) trajectory and spatiotemporal gait parameters. Sixteen healthy young participants conducted four different walking conditions: normal walking and walking with limited knee flexion of their left knee up to 40 and 20 degrees, respectively. Results show that the participants walked significantly (p<0.05) slower with shorter stride length, wider step width, less cadence, and decreased stance phase when walking with limited knee flexion, compared to normal walking. The increase in the asymmetry and variability of the COP was also observed. It indicates that limited knee flexion during walking might affect the dynamic balance.
Nita Lewis Shattuck, Matsangas Panagiotis
Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Volume 65, pp 1470-1474; https://doi.org/10.1177/1071181321651076

Abstract:
The Crew Endurance Team at the Naval Postgraduate School led a 3-year project to develop and deliver crew endurance and sleep hygiene training to support the US Navy’s implementation of circadian-based watchbills. As part of this effort, 16 training sessions were delivered to 362 active-duty service members (ADSMs) of the USN, including senior Navy leaders (n=249), prospective commandingIexecutive officers (PCOIPXOs) (n=30) at the Surface Warfare Officers School (SWOS) and students (n=83) attending SWOS Department Head School. Overall, responses from all audiences were positive indicating a high level of satisfaction with the training. We identified the need to expand two parts of the training: stimulants and sleep-promoting medications, and tips for sleeping in military environments. We will continue to tailor the training to the specific needs of ADSMs. We continue to train military audiences to increase awareness of the critical importance of sleep for operational performance and resilience.
Jessica Williams, Rhyse Bendell, Stephen M. Fiore, Florian Jentsch
Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Volume 65, pp 807-811; https://doi.org/10.1177/1071181321651343

Abstract:
Current approaches to player profiling are limited in that they typically employ only a single one of numerous of available techniques shown to have utility for categorizing and explaining player behavior. We propose a more comprehensive Video Game Player Profile Framework that considers the demographic, psychographic, mental model, and behavioral modeling approaches shown to be effective for describing gamer populations. We suggest that our proposed approach can improve the efficacy of video game player profiles by grounding data-driven techniques in game analytics with the theoretical backing of demographic, psychometric, and psychographic measurements. We provide an overview of our proposed framework, discuss the usage and relevance of each component technique, and provide a proof-of-concept demonstration with archived data.
Travis Kadylak, Megan A. Bayles, Leonardo Galoso, Maxwell Chan, Harshal Mahajan, Charles C. Kemp, Aaron Edsinger2, Wendy A. Rogers
Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Volume 65, pp 442-446; https://doi.org/10.1177/1071181321651093

Abstract:
Assistive and mobile robots have potential to support everyday domestic tasks and enable independence for persons in the home. As a first step to evaluating this potential, we assessed the initial unboxing and setup of Hello Robot’s Stretch RE1– a novel mobile manipulator designed for domestic settings. All study procedures took place in the McKechnie Family LIFE Home, which is a smart home research facility on the University of Illinois Urbana-Champaign campus. We used subject matter experts (SMEs) and followed human factors principles to consider obstacles users with diverse needs and capabilities (e.g., older adults, persons with mobility disabilities) might encounter during the unboxing process. We then conducted 50 trials of user testing and critical task analyses in the LIFE home to assess the feasibility and usability for different use cases. Research team members controlled Stretch by using a game controller. We used Stretch to manipulate 15 different types of objects that would be part of domestic activities needed to live independently, such as tasks needed for meal preparation. We documented the frequency of errors, time spent manipulating the object, and informal qualitative feedback from teleoperators during and after each trial (using a think-aloud protocol). Implications for future domestic robot design using human factors approaches are discussed.
Hansol Rheem, Kelly S. Steelman, Robert S. Gutzwiller
Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Volume 65, pp 675-679; https://doi.org/10.1177/1071181321651276

Abstract:
The SEEV model of visual scanning offers a quick and easy way of evaluating the attentional demands of various tasks and displays. A SEEV model can be developed without relying on complicated mathematical software or background, making the conceptual model highly accessible. Implementation of SEEV modeling can further be improved by easing the process of running simulations and providing actionable information. In this paper, we showcase the SEEV Modeler, a GUI-based prototype of the computational SEEV model that lowers the technical barriers for human factors practitioners. Furthermore, the prototype’s ability to predict eye movements in dynamic driving scenarios was tested, with an emphasis on the impacts of the attention shifting effort and inhibition of return (IOR) on the model’s prediction performance. The SEEV Modeler produced model fits comparable to those of previous mathematical modeling approaches but also revealed limitations and practical issues to be addressed in the final version.
Nayara De Oliveira Faria, Coleman Merenda, Richard Greatbatch, Kyle Tanous, Chihiro Suga, Kumar Akash, Teruhisa Misu, Joseph Gabbard
Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Volume 65, pp 1342-1346; https://doi.org/10.1177/1071181321651004

Abstract:
In the present paper, we present a user study with an advanced-driver assistance system (ADAS) using augmented reality (AR) cues to highlight pedestrians and vehicles when approaching intersections of varying complexity. Our major goal is to understand the relationship between the presence and absence of AR, driver-initiated takeover rates and glance behavior when using a SAE Level 2 autonomous vehicle. Therefore, a user-study with eight participants on a medium-fidelity driving simulator was carried out. Overall, we found that AR cues can provide promising means to increase the system transparency, drivers’ situation awareness and trust in the system. Yet, we suggest that the dynamic glance allocation of attention during partially automated vehicles is still challenging for researchers as we still have much to understand and explore when AR cues become a distractor instead of an attention guider.
Shiyan Yang, Brook Shiferaw, Trey Roady, Jonny Kuo, Michael G. Lenné
Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Volume 65, pp 1410-1414; https://doi.org/10.1177/1071181321651147

Abstract:
Head pose has been proposed as a surrogate for eye movement to predict areas of interest (AOIs) where drivers allocate their attention. However, head pose may disassociate with AOIs in glance behavior involving zero or subtle head movements, commonly known as “lizard” glance pattern. In contrast, “owl” glance pattern is used to describe glance behavior along with larger head movements. It remains unclear which glance pattern is prevalent during driver cell phone distraction and what are appropriate metrics to detect such distraction. To address this gap, we analyzed the gaze direction and head pose of 36 participants who completed an email-sorting task using a cell phone while driving a Tesla on the test track in Autopilot mode. The dispersion-threshold algorithm identified driver gaze fixations and synchronized them with head movements. The results showed that when using a cell phone either near the lap or behind the steering wheel, participants exhibited a dominant lizard-type glance pattern with minimal shift in head position. As a result, head pose alone may not provide sufficient information for cell phone distraction detection, and gaze metrics should be involved in enhancing this application.
Huao Li, Keyang Zheng, Michael Lewis, Dana Hughes, Katia Sycara
Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Volume 65, pp 648-652; https://doi.org/10.1177/1071181321651269

Abstract:
The ability to make inferences about other’s mental state is referred to as having a Theory of Mind (ToM). Such ability is the foundation of many human social interactions such as empathy, teamwork, and communication. As intelligent agents being involved in diverse human-agent teams, they are also expected to be socially intelligent to become effective teammates. To provide a feasible baseline for future social intelligent agents, this paper presents a experimental study on the process of human ToM reference. Human observers’ inferences are compared with participants’ verbally reported mental state in a simulated search and rescue task. Results show that ToM inference is a challenging task even for experienced human observers.
Kyle Hickerson, Yi-Ching Lee
Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Volume 65, pp 977-981; https://doi.org/10.1177/1071181321651321

Abstract:
Our objective was to examine how the Big Five personality traits affected driving behavior during the early phase of the COVID-19 pandemic. Data was collected online via Amazon Mechanical Turk. Chi-Squared Tests with bootstrapping revealed a significant pandemic effect on driving frequency with a moderate effect size. However, insignificant results of the Big Five were found relative to the weekly driving frequency. Simple Correspondence Analysis was used to examine patterns between the Big Five and driving frequency graphically. Individuals high in Agreeableness, Openness, Conscientiousness, and Neuroticism were more likely to drive less frequently and therefore comply with isolation guidelines. However, there were conflicting results in Neuroticism. Some of the High and Medium Low groups were grouped closely with lower driving frequencies. To explain this result, there may be a mediating or moderating factor that was not captured in this analysis, which requires more research to examine.
Mundhir Nasser Al Alawi, Suman Kanti Chowdhury
Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Volume 65, pp 482-483; https://doi.org/10.1177/1071181321651021

Abstract:
An occupational fatigue risk management system (FRMS) framework can aid practitioners to reduce the fatigue-induced human error, poor performance, and the risk of injury in the industrial settings. However, the current state-of-knowledge on different theoretical frameworks of FRMS adopted in various occupational settings has not been systematically mapped in terms of risk factors, industrial sector types, activity types, and interventions. Therefore, this study aimed to review and characterize the previous literature on FRMS available in the ISI Web of Science (WoS) database and applied various bibliometric approaches to explore current state-of-knowledge, emerging trends and future directions. The data for the analyses were collected from the 68 articles published in 24 various journals between 2001 and 2021. The trend showed a rapid increase in FRMS research in the last seven years, especially in healthcare and aviation industries. Future studies should consider environmental stressors while designing a holistic framework of FRMS.
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