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ACSHF represented at Graduate Research Colloquium

Published March 29, 2023

Photo of Michigan Tech campus, water side

Each spring, Michigan Tech’s Graduate Student Government sponsors the Graduate Research Colloquium (GRC) Poster and Presentation Competition. The GRC offers a unique opportunity for graduate students to showcase their research with the University community and work on their presentation skills for other professional events. Students give oral presentations, present posters, or do both. Judges from a similar field as the presenters score the presentations. The judges also provide valuable insight and feedback on how the students can improve their presentations. The presenters are grouped into different technical sessions, according to their discipline of study.

Applied Cognitive Science and Human Factors (ACSHF) PhD students Anne Inger Mortvedt, Isaac Flint, and Lauren Sprague will give their oral presentations at 1:00pm Wednesday, March 29 in the MUB Alumni Lounge. Lauren will also participate in the poster presentations from 5:00-6:00pm in the Rozsa Lobby, along with ACSHF MS student Nishat Binte Alam.

See abstracts below for more details regarding their research.

Relationship between Program Usability Characteristics and Intention to Use: Preliminary Data Implementing a Sport Injury Prevention Program by Anne Inger Mortvedt.

Adherence to exercise programs is low across multiple populations. For example, within the target population for ACL injuries, only ~4-20 % of sports teams have implemented evidence-based injury prevention programs. This study explored the relationship between usability characteristics and implementation likelihood for a newly developed ACL injury prevention program.
Twenty-two female handball players, aged 14 to 16, participated in the intervention study. Data on usability characteristics was collected through a modified usability scale similar to the System Usability Scale. Subcomponents of the usability scale included learnability, perceived effectiveness, ease of use, enjoyability and efficiency. Analyses on the total usability scale score revealed a significant difference between pre and post intervention responses, indicating that overall usability decreased over time (p < 0.005). Enjoyability was the subcomponent that primarily drove this change.
Total scale scores were significantly correlated with intention to use/implementation likelihood (Spearman’s rho .54, p = .009). Perceived effectiveness and enjoyability were significantly correlated with intention to use the program (rho 0.50, p = 0.02 and rho 0.50, p= 0.02, respectively), indicating that program adherence is affected by whether they believe the program will work (e.g., reduce injuries) and whether they enjoy performing the program. We did not find any significant relationships between the three other subcomponents (e.g., learnability, ease of use and efficiency) and intention to use.
This preliminary data suggests that program designers may want to make sure participants understand why it is important to perform the program, in addition to developing an exercise program that they seem to enjoy performing. Future studies should capture more data on the usability scale/subscales to ensure the factor structure is consistent and items display appropriate psychometric properties.

Pilot test of critical flicker fusion in combination with functional near infrared spectroscopy (fNIRS) in order to accurately measure cognitive workload during a visuospatial vigilance task by Lauren Sprague [abstract unavailable prior to post]

Exploring the difference in Movement Corrections following Visual and Physical perturbations by Isaac Flint

Making online movement corrections is vital to a person’s ability to navigate the environments they live in. Failures often result in injury, such as tripping, car collisions, or bumping into hazardous surfaces. This experiment explores the behavioral (movement characteristics) and cortical (EEG) responses following two types of perturbations to arm-reaching movements, with a sample of young adult Michigan Tech students. Visual perturbations were administered by changing the visual location of a curser compared to a participant’s hand position during random experimental trials. Physical (mechanical) perturbations were administered via a robotic arm that unexpectedly moved participants’ arms during other random experimental trials. These experimental trials were further divided into two sizes of perturbations.
One size that placed the cursor outside of a set of obstacles, and one where the perturbation put the cursor on a collision course if the participant did not make a movement correction. Our results show that the type and size of perturbation had an impact on not only the behavioral characteristics of the movement corrections, but also the EEG event-related potentials that followed the perturbation. Differences were also observed for trials with collisions and trials without collisions. These results are a step toward understanding the neuro-cognitive correlates of online movement corrections. This knowledge will inform future work assessing how age and cognitive declines in an aging population may affect their ability to make successful movement corrections.

Types of Questions Teachers Ask to Engage Students in Making Sense of a Student Contribution by Nishant Binte Alam

In the student center classroom, where teachers constantly make decisions based on what is happening surrounding them, what they are noticing, and how they are interpreting student contributions, a teacher’s interpretation and response to student mathematical contributions plays an important role to shape and direct students’ thinking.
In particular, failing to ask productive questions that help students to engage in a sense-making discussion could deteriorate cognitive opportunities. This research is planning to study what types of questions teachers indicate they would ask to engage students in making sense of a high-leverage student mathematical contribution, what Leatham et al. (2015) refer to as a MOST (Mathematically Significant Pedagogical Opportunities to Build on Student Thinking) and their reasoning about why particular questions are or are not productive. In this study, a scenario-based survey questionnaire will be sent via email to 100 middle and high school teachers. In the given scenario, a MOST has surfaced, and teachers will be asked three questions about how they would respond in the scenario.
This research could lead us to determine if teachers are selecting the questions which are likely to be productive in supporting students’ mathematical thinking and why they select the questions that they do. Knowing this will inform future work with teachers to productively use student thinking in their teaching.

For a complete list of oral and poster presentations see 2023 Abstract Booklet.

No other graduate program influences the next generation like ACSHF. At Michigan tech, we address applied cognitive science problems by using basic research in applied settings to bridge the gap between people and technology. Program specializations span the interests of multiple faculty and research groups who work in state-of-the-art labs. For more information, contact ACSHF graduate program director Kevin Trewartha.

ACSHF Forum: Grad Student Presentations

Published March 23, 2023

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The Department of Cognitive and Learning Sciences will host two speakers at the next Applied Cognitive Science and Human Factors forum: Nishat Alam and Anne Inger Mørtvedt, both ACSHF graduate students. Their presentations will be from 2:00 to 3:00 p.m. Monday (March 27) in Meese 109 and via Zoom.

Alam will present “Types of Questions Teachers Ask to Engage Students in Making Sense of a Student Contribution.”

Abstract:

In the student center classroom, where teachers constantly make decisions based on what is happening surrounding them, what they are noticing, and how they are interpreting student contributions, a teacher’s interpretation and response to student mathematical contributions plays an important role to shape and direct students’ thinking. In particular, failing to ask productive questions that help students to engage in a sense-making discussion could deteriorate cognitive opportunities. This research is planning to study what types of questions teachers indicate they would ask to engage students in making sense of a high-leverage student mathematical contribution, what Leatham et al. (2015) refer to as a MOST (Mathematically Significant Pedagogical Opportunities to Build on Student Thinking) and their reasoning about why particular questions are or are not productive. In this study, a scenario-based survey questionnaire will be sent via email to 100 middle and high school teachers. In the given scenario, a MOST has surfaced, and teachers will be asked three questions about how they would respond in the scenario. This research could lead us to determine if teachers are selecting the questions which are likely to be productive in supporting students’ mathematical thinking and why they select the questions that they do. Knowing this will inform future work with teachers to productively use student thinking in their teaching.

Mørtvedt will present “Relationship between Program Usability Characteristics and Intention to Use: Preliminary Data Implementing a Sport Injury Prevention Program.”

Abstract:

Adherence to exercise programs is low across multiple populations. For example, within the target population for ACL injuries, only ~4-20 % of sports teams have implemented evidence based injury prevention programs. This study explored the relationship between usability characteristics and implementation likelihood for a newly developed ACL injury prevention program. Twenty-two female handball players, aged 16 to 18, participated in the intervention study. Data on usability characteristics was collected through a modified usability scale similar to the System Usability Scale. Subcomponents of the usability scale included
learnability, perceived effectiveness, ease of use, enjoyability and efficiency. Paired sample’s t-test revealed a significant difference between all constructs from pre to post intervention, except for the perceived effectiveness score. Enjoyability and efficiency were the constructs that changed the most, both scores going down post intervention. Perceived effectiveness, enjoyability and efficiency were significantly correlated with intention to use the program (rho 0.50, p = 0.02, rho 0.50, p= 0.02, rho 0.65, p < 0.001, respectively), indicating that program adherence is affected by whether they believe the program will work (e.g. reduce injuries),
whether they enjoy performing the program and whether they find it reasonable with regard to time use. We did not find any significant relationships between the two other subcomponents (e.g. learnability, ease of use) and intention to use. This preliminary data suggests that program designers may want to make sure participants understand why it is important to perform the program, in addition to developing an exercise program that they seem to enjoy performing and find worth their time. Future studies should capture more data on the usability scale/subscales to ensure the factor structure is consistent and items display appropriate psychometric properties.

MTU, MSU: Inaugural Research Symposium

Published March 23, 2023

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Kevin Trewartha (CLS/KIP) and Carolyn Duncan (KIP/CLS/BME) were part of the Inaugural Research Symposium titled “Engineering the Future of Human Health” held on March 13 at Michigan State University. A collaborative event spearheaded by Michigan Technological University Vice President for Global Campus and Continuing Education David Lawrence and planned by a joint MTU and MSU team.

Twelve researchers from MTU and 12 from MSU delivered presentations during the event’s six sessions. The event also featured an 18-poster display from faculty, researchers and M.D. students. Trewartha and Duncan represented the Neurological Disease and Aging Research session.

The purpose of this collaborative event was investigating areas of shared goals, mutual interests and possible research collaboration in crucial areas of human health. Or as Christopher Contag of MSU affirmed, the symposium “will help integrate the research aims of the two universities for a collective endeavor to develop the tools, technologies and knowledge that will impact human health across the state.”

The next step will be developing these research aims and shared human health initiatives in a second collaborative symposium hosted by MTU on October 27, 2023, which is timed to go along with the Upper Peninsula Medical Conference. In this symposium, researchers will elaborate on the theme of engineering the future of human health, but in these key areas: Big Data, Data Analytics, Artificial Intelligence, Image Processing, Epidemiology, Human Factors and Neural Engineering.

For full story see Tech Today: MTU, MSU Collaborate and Build Foundations in Inaugural Research Symposium

Hunter Malinowski, 2023 Department Scholar

Published March 20, 2023

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The Department of Cognitive and Learning Sciences (CLS) has selected Hunter Malinowski for the 2023 Department Scholar Award. This award, presented to a student entering their senior year, who best represents scholarship at Michigan Tech and is considered excellent not only by academic standards, but also for participation in research scholarship activity, levels of intellectual curiosity, creativity, and communication skills. All department scholars are also nominated for the Provost’s Award for Scholarship to be selected later this spring.

In Hunter’s nomination to the Provost, CLS chair Kelly Steelman wrote, “Hunter is well respected among department faculty for her creativity and problem solving skills that have made her an excellent student and scholar. Her research experience has involved three major projects. During our standard PSY 3000/3001 coursework, she conducted a research project that combined her interests in psychology and computer science by testing and evaluating a scale about AI and machine learning understanding. Following that, she took research credit in Professor Shane Mueller’s laboratory, contributing to a number of research projects on human-AI interaction and explainable AI. Hunter co-authored a Human Factors and Ergonomics Society proceedings paper based on the results of this work¹ which contributed to a larger project funded by DARPA. Following this, Hunter was supported through the URIP program to explore how different XAI feature visualization approaches interacted with example-based explanations–two distinct and popular forms of algorithmic explanation of AI that have not been fully combined.

Hunter’s accomplishments extend beyond the department and campus. She completed two internships with Ford Motor Company and received the award for Most Viable and Top Achiever in their 2022 Intern Innovation Challenges.”

Hunter, along with all 2023 department scholars, will be recognized at the Annual Student Leadership Awards Celebration on Friday, April 14, 2023.

Congratulations Hunter and best wishes for your senior year!

1 Mamun, T. I., Baker, K., Malinowski, H., Hoffman, R. R., & Mueller, S. T. (2021, September). Assessing collaborative
explanations of AI using explanation goodness criteria. In Proceedings of the Human Factors and Ergonomics
Society Annual Meeting (Vol. 65, No. 1, pp. 988-993). Sage CA: Los Angeles, CA: SAGE Publications.

ACSHF Forum: Paul Ward

Published March 15, 2023

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The Department of Cognitive and Learning Sciences will host Dr. Paul Ward at the next Applied Cognitive Science and Human Factors forum.

The presentation, “Beyond Academia: From Adaptivity to Augmented Decision Making and Back Again”, will be from 2:00 to 3:00 p.m. Monday March 20 via Zoom.

Abstract:

In this presentation, I will provide an overview of my research conducted on both sides of the research
isle—as a university academic and as a scientist supporting government sponsors. This overview will
span a range of topics from expertise and adaptive skill to technology-enabled decision superiority to
human-centered AI assurance. Specifically, I will summarize a handful of research projects examining
the training principles required to develop expert levels of adaptive skill, the impact of providing humans
with more AI-enabled courses of action than they could generate without technological support,
considerations for supporting human-machine teams, and end with a discussion of what it means to assure
human-centered AI. A common theme throughout this research is that context matters, irrespective of
whether we are concerned with developing expertise or human-centered systems, improving system
performance, or empowering humans to achieve their goals. As part of this talk, I will provide a brief
overview of MITRE, the capabilities we offer, and a description of my journey from University Professor
to Chief Scientist. I will end by posing some questions about the pressing future challenges where
transdisciplinary teams, including Human Factors and Applied Cognitive Scientists, could be leveraged to
produce more robust outcomes for a safer, more secure, and more equitable world.

BIO:

Dr. Paul Ward is Chief Scientist for the Social and Behavioral Sciences and Principal Cognitive Scientist
at The MITRE Corporation—a not-for-profit organization based in McLean VA that runs multiple
Federally Funded Research and Development Centers whose aim is to solve problems to create a safer
world. Since joining MITRE in 2019, Dr. Ward’s research has focused on issues related to decision
making, sensemaking, and adaptivity, and on using cognitive science and cognitive engineering methods
to address tough human-in-the-loop problems, such as human-machine teaming, artificial intelligence-
(AI-)enabled decision support, and human-centered AI. In his current role he is responsible for supporting
innovative Department- and Division-level research and developing transdisciplinary and transformative
research priorities, especially those related to enhancing and augmenting human cognition in complex
sociotechnical systems.
Dr. Ward is internationally known for his pioneering research on how expert decision makers think and
adapt to real-world complexity and uncertainty. He has published three books, including The Oxford
Handbook of Expertise, Accelerated Expertise, over 200 scientific papers and book chapters on related
topics, and received grant funding from a range of agencies internationally, including National Science
Foundation, US Office of Naval Research, UK Department for Transport, and UK Ministry of Defense. In
addition, he has also provided expert consultation on related topics to multiple agencies, including the
U.S. Olympic Committee, UK Sport, English Institute of Sport, US Soccer, New York Police
Department, Police Federation of England and Wales, and Norwegian Defence Cyber Academy.
Prior to joining MITRE, Dr. Ward held various university faculty appointments worldwide, including as
Professor of Applied Cognitive Science in the UK and USA. He has taught undergraduate and graduate
level courses in Cognition, Cognitive Task Analysis, Human Factors, Work Psychology, Expertise,
Research Methods, and Statistics. He currently holds an adjunct appointment at Michigan Technological
University as Professor of Psychology, serves on numerous editorial boards and, previously, served as
associate editor for the Journal of Cognitive Engineering and Decision Making and the Journal of
Expertise. Dr. Ward received his PhD in Applied Experimental Psychology in the UK and subsequently
completed two postdoctoral fellowships in Human Factors and Cognitive Science in the USA.

ACSHF Forum: Jason Archer

Published January 31, 2023

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The Department of Cognitive and Learning Sciences will host MTU Humanities Assistant Professor Jason Archer at the next Applied Cognitive Science and Human Factors forum.

The presentation, “The Embrace of the Surgical Machine: Touch, Practice, and Power in the Operating Room”, will be from 2:00 to 3:00 p.m. Monday (February 6) in Meese 109 and via Zoom

In this presentation, Jason Archer will talk about his work in the area of Human Machine Communication, focusing on research related to the da Vinci Surgical System (dVSS), a system widely used in robotic-assisted surgery. Dr. Archer will discuss how concerns with touch-oriented media sparked his investigation of the dVSS, explain the challenges of doing research in a surgical setting, and share stories from interviews with robotic surgeons, and observations from the OR, that help highlight some of his findings.

ACSHF Forum: Grad Student Presentations

Published January 19, 2023

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The Department of Cognitive and Learning Sciences will host ACSHF PhD Students Lauren Sprague and Brandon Woolman at the next Applied Cognitive Science and Human Factors forum. Their presentations will be from 2:00 to 3:00 p.m. Monday (January 23) in Meese 109 and via Zoom.

Sprague will present “Pilot test of critical flicker fusion in combination with functional near-infrared spectroscopy (fNIRS) in order to accurately measure cognitive workload during a visuospatial vigilance task.”

Abstract:
Vigilance tasks are largely considered to be stressful to perform, difficult to stay on task, and cognitively draining due to the mental demands of sustaining attention. These tasks, which involve the monitoring of an environment for critical signals while avoiding more frequent neutral signals, induce what has been dubbed the vigilance decrement. The vigilance decrement typically involves a decline in performance as well as an increase in response time. During the investigation of this decrement, some tools need to be validated before they should be used to investigate it. Functional near-infrared spectroscopy is a non-invasive brain imaging technique that provides real-time data on changes in light absorption caused by the hemodynamic activity of the brain region in question. This hemodynamic activity provides information about cognitive effort. The flicker fusion threshold is the frequency at which an observer perceives a flickering light as static. This threshold can provide information about cortical arousal, alertness, fatigue, and cognitive workload. This study seeks to determine if these two methods, utilized alongside the NASA-TLX a measure of mental workload, can provide detailed information about the cognitive effort of a task as well as any decline in mental resources due to the mental effort of a visuospatial vigilance task.

Woolman will present “Assessing Cognitive Impairment and Early Alzheimer’s Disease Using a Reverse Visually Guided Reaching Task.”

Abstract:
Alzheimer’s Disease (AD) is the most common form of dementia, which is known for its impacts on cognitive functions, especially memory. Early signs of AD can be difficult to diagnose (Porsteinsson et al., 2021), neuropsychological test batteries designed for dementia are only moderately reliable. Recent findings in the field of motor behavior have show novel motor tasks to be sensitive to cognitive differences between younger and older adults. Some motor tasks have shown to be more sensitive to cognitive deficits compared to neuropsychological test batteries (Watral & Trewartha, 2021). For example, tasks like the visuomotor rotation task, where participants adapt to a visuomotor perturbation, have been identified as a means for assessing cognition (Buch, Young & Contreras-Vidal, 2003). Recent work by Tippet and Sergio (2006) developed a reverse visually guided reaching task (rVGR) in which participants make a series of aimed movements toward a target. During the rVGR task, the visual cursor moves in the opposite direction of the physical reach, forcing the participant to correct their movements by reversing the reaching direction. Measures of performance in this task, such as movement speed and inconsistency of movements, have been shown to change in preclinical Alzheimer’s populations (Hawkins & Sergio, 2014). The current investigation seeks to further characterize rVGR performance differences between younger adults, older adults, and individuals with early AD (diagnosed with MCI or mild AD). For this purpose, we are recruiting 20 younger adults, 20 healthy older adults, and 20 early AD patients. We are testing the prediction that participants with AD should perform similarly to the controls on a VGR task but show significant deficits on the rVGR task. Additionally, correlations will be examined between performance on a neuropsychological battery and the rVGR task performance to test the prediction that performance on the motor task are related to changes in cognition in AD. This work may provide the foundation for using motor tasks as a diagnostic tool for cognitive impairments in preclinical stages of MCI and Alzheimer’s Disease. Early diagnosis of cognitive impairments due to MCI and AD could allow physicians to maximize the effectiveness of available treatment methods for slowing the progression of the disease.

ACSHF Forum: Destaney Sauls

Published January 5, 2023

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Destaney Sauls, Department of Cognitive and Learning Sciences (CLS) Visiting Instructor, will kick off the spring semester forums for Applied Cognitive Science and Human Factors (ACSHF) with her presentation, “Tried and True: The Role of Perceived Loyalty in Friendship Functioning,” from 2-3 p.m. Monday (January 9) in Meese 109 and via Zoom.

Abstract: Research concerning social relationships has often suggested that loyalty is an important feature of a wide variety of relationships – however, this research has also produced inconsistent results regarding the actual impact of loyalty. Generally speaking, much of the research concerning social relationships has focused on romantic relationships, rather than platonic. The current research utilizes the context of a platonic friendship to examine the possibility that perceived loyalty may be more impactful on a relationship than actual loyalty – essentially, how loyal someone is might matter, but what might matter more is how loyal their friend “thinks” they are.

Alexandra Watral Awarded Doctoral Finishing Fellowship

Published December 14, 2022

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photo of Alexandra Watral — Alexandra Watral, ACSHF PhD Candidate

Each semester, the Michigan Tech Graduate School awards Finishing Fellowships that provide support to PhD candidates who are close to completing their degrees. These fellowships are available through the generosity of alumni and friends of the University. They are intended to recognize outstanding PhD candidates who are in need of financial support to finish their degrees and are also contributing to the attainment of goals outlined in The Michigan Tech Plan.

This spring’s 2023 Doctoral Finishing Fellowship recipients include Applied Cognitive Science and Human Factors (ACSHF) PhD candidate Alexandra (Alex) Watral. Alex is advised by Dr. Kevin Trewartha and her research involves motor learning as a sensitive behavioral marker of early Alzheimer’s Disease. Read on for more details of Alex’s research in her personal statement as follows.

My interests lie at the intersection of accessibility and efficiency. For this reason, I transitioned away from clinical work and started my PhD in Applied Cognitive Science and Human Factors in January 2019 under the guidance of Dr. Kevin Trewartha. From day one, my research has focused on developing new tools for assessing cognitive decline in older adults through the study of motor skill learning using a specialized robotic device.

My dissertation research focuses on the use of two novel motor skill learning tasks to distinguish between healthy aging, mild cognitive impairment, and the early stages of Alzheimer’s disease. Cognitive decline associated with Alzheimer’s is typically measured using neuropsychological tests that lack sensitivity and specificity to subtle changes in cognitive function associated with disease progression. As such, these tests struggle to correctly diagnoses patients with pre-clinical dementia symptoms (such as mild cognitive impairment) or the early stage of Alzheimer’s disease. Recent research, however, has shown that the ability to adapt our movements to learn a new motor skill may relate to changes in learning and memory that occur early in the development of the disease. My dissertation will explore the relationship between data collected from two motor learning tasks and data collected through a typical battery of neuropsychological tests to diagnose Alzheimer’s-type dementia. We expect that these motor learning tasks can go above and beyond the ability of the neuropsychological battery to detect changes in cognitive functioning. Importantly, these motor learning tasks take about half the time to complete compared to the standard diagnostic procedures. By showing that these tasks are sensitive to subtle changes in cognitive decline, we can increase certainty in the proper diagnosis while minimizing the time and costs associated with the diagnostic procedure. This could lead to earlier and more efficient diagnoses and subsequent earlier treatment to slow the progression of cognitive decline, thereby improving patient and caregiver quality of life.

I would like to thank the Graduate School Awards Advisory Panel for this fellowship, and my advisor, Dr. Kevin Trewartha, for his consistent support and guidance over the last four years.

Michigan Tech’s Department of Cognitive and Learning Sciences offers bachelor of science degrees in Psychology and Human Factors, along with a Minor in Psychology. We also offer an Accelerated Masters degree in Applied Cognitive Science and Human Factors (ACSHF), which typically requires only one additional year of course work. Our graduate program includes masters and doctoral degrees in Applied Cognitive Science and Human Factors (ACSHF).

Questions? Contact us at cls@mtu.edu. And follow us @clsmtu on Instagram and Facebook for the latest happenings.

ACSHF Forum: Grad Student Presentations

Published November 18, 2022

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The Department of Cognitive and Learning Sciences will host ACSHF PhD Students Anne Linja and Alex Watral at the next Applied Cognitive Science and Human Factors forum. Their presentations will be from 2:00 to 3:00 p.m. Monday (November 28) in Meese 109 and via Zoom.

Linja will present her research titled “Through the Eyes of Tesla FSD Drivers: Tesla Drivers’ Social Media Posts Never Run Out of Gas”

Abstract: With the recent deployment of the latest generation of Tesla’s Full Self-Driving (FSD) mode, consumers are using semi-autonomous vehicles in both highway and residential driving for the
first time. As a result, drivers are facing complex and unanticipated situations with an unproven technology, which is a central challenge for cooperative cognition. One way to support cooperative
cognition in such situations is to inform and educate the user about potential limitations. Because these limitations are not always easily discovered, users have turned to the internet and social media
to document their experiences, seek answers to questions they have, provide advice on features to others, and assist other drivers with less FSD experience. In this presentation, I will explore a novel approach to supporting cooperative cognition: Using social media posts can help characterize the limitations of the automation in order to get information about the limitations of the system and explanations and workarounds for how to deal with these limitations. Ultimately, our goal is to determine the kinds of problems being reported via social media that might be useful in helping users anticipate and develop a better mental model of an AI system that they rely on. To do so, we examine a corpus of social media posts about FSD problems to identify (1) the typical problems reported, (2) the kinds of explanations or answers provided by users, and (3) the feasibility of using such user-generated information to provide training and assistance for new drivers. The results reveal a number of limitations of the FSD system (e.g., lane-keeping and phantom braking) that may be anticipated by drivers, enabling them to predict and avoid the problems, thus allowing better mental models of the system and supporting cooperative cognition of the human-AI system in more situations.

Watral will present her research titled “Sensitivity of a Robotic Hit & Avoid Task to Executive Control and Global Cognitive Changes in Healthy Aging and Cognitive Impairment”

Abstract: We recently found that a rapid motor decision-making task is sensitive to age differences in executive control and can isolate the cognitive from the sensorimotor contributions to task performance (Watral & Trewartha, 2021). However, we are also interested in this task’s ability to distinguish between healthy aging and cognitive impairment as seen in the early stages of Alzheimer’s. In this presentation, I will revisit the results from Watral & Trewartha (2021) and show preliminary findings comparing task performance between healthy older adults and those who exhibit cognitive impairment. Additionally, task parameters thought to be associated with executive control will be compared to a traditional measure of executive functioning (Trail Making Test) and a global measure of overall cognitive functioning (Montreal Cognitive Assessment).

Category: Research