Social and Behavioral Sciences Commons^™

Allograft Anterior Cruciate Ligament Reconstruction Fails At A Greater Rate In Patients Younger Than 34 Years, Camryn B. Petit, Jed A. Diekfuss, Shayla M. Warren, Kim D. Barber Foss, Melanie Valencia, Staci M. Thomas, Erich Petushek, Spero G. Karas, Kyle E. Hammond, Mathew W. Pombo, Sameh A. Labib, Timothy S. Maughon, Bryan J. Whitfield, Gregory D. Myer, John W. Xerogeanes, Joseph D. Lamplot

Michigan Tech Publications

Purpose: The purposes of this study were to characterize the secondary anterior cruciate ligament (ACL) injury rates after primary allograft anterior cruciate ligament reconstruction (ACLR) and to identify the age cut-score at which the risk of allograft failure decreases. Methods: All patients who underwent primary ACLR within a single orthopaedic department between January 2005 and April 2020 were contacted at a minimum of 2 years post-ACLR to complete a survey regarding complications experienced post-surgery, activity level, and perceptions of knee health. Patients were excluded for incidence of previous ACLR (ipsilateral or contralateral) and/or age younger than 14 years. Relative proportions …

Increasing The Value Of Xai For Users: A Psychological Perspective, Robert R. Hoffman, Timothy Miller, Gary Klein, Shane T. Mueller, William J. Clancey

Michigan Tech Publications

This paper summarizes the psychological insights and related design challenges that have emerged in the field of Explainable AI (XAI). This summary is organized as a set of principles, some of which have recently been instantiated in XAI research. The primary aspects of implementation to which the principles refer are the design and evaluation stages of XAI system development, that is, principles concerning the design of explanations and the design of experiments for evaluating the performance of XAI systems. The principles can serve as guidance, to ensure that AI systems are human-centered and effectively assist people in solving difficult problems.

The Plausibility Transition Model For Sensemaking, Gary Klein, Mohammadreza Jalaeian, Robert R. Hoffman, Shane Mueller

Michigan Tech Publications

When people make plausibility judgments about an assertion, an event, or a piece of evidence, they are gauging whether it makes sense that the event could transpire as it did. Therefore, we can treat plausibility judgments as a part of sensemaking. In this paper, we review the research literature, presenting the different ways that plausibility has been defined and measured. Then we describe the naturalistic research that allowed us to model how plausibility judgments are engaged during the sensemaking process. The model is based on an analysis of 23 cases in which people tried to make sense of complex situations. …

The Plausibility Transition Model For Sensemaking, Gary Klein, Mohammadreza Jalaeian, Robert R. Hoffman, Shane T. Mueller

Michigan Tech Publications

When people make plausibility judgments about an assertion, an event, or a piece of evidence, they are gauging whether it makes sense that the event could transpire as it did. Therefore, we can treat plausibility judgments as a part of sensemaking. In this paper, we review the research literature, presenting the different ways that plausibility has been defined and measured. Then we describe the naturalistic research that allowed us to model how plausibility judgments are engaged during the sensemaking process. The model is based on an analysis of 23 cases in which people tried to make sense of complex situations. …

Evaluating Machine-Generated Explanations: A “Scorecard” Method For Xai Measurement Science, Robert R. Hoffman, Mohammadreza Jalaeian, Connor Tate, Gary Klein, Shane T. Mueller

Michigan Tech Publications

Introduction: Many Explainable AI (XAI) systems provide explanations that are just clues or hints about the computational models-Such things as feature lists, decision trees, or saliency images. However, a user might want answers to deeper questions such as How does it work?, Why did it do that instead of something else? What things can it get wrong? How might XAI system developers evaluate existing XAI systems with regard to the depth of support they provide for the user's sensemaking? How might XAI system developers shape new XAI systems so as to support the user's sensemaking? What might be a useful …

Executive Functions And Psychopathology Dimensions In Deficit And Non-Deficit Schizophrenia, Maksymilian Bielecki, Ernest Tyburski, Piotr Plichta, Monika Mak, Jolanta Kucharska-Mazur, Piotr Podwalski, Katarzyna Rek-Owodziń, Katarzyna Waszczuk, Leszek Sagan, Shane Mueller, Anna Michalczyk, Błażej Misiak, Jerzy Samochowiec

Michigan Tech Publications

This study: (a) compared executive functions between deficit (DS) and non-deficit schizophrenia (NDS) patients and healthy controls (HC), controlling premorbid IQ and level of education; (b) compared executive functions in DS and NDS patients, controlling premorbid IQ and psychopathological symptoms; and (c) estimated relationships between clinical factors, psychopathological symptoms, and executive functions using structural equation modelling. Participants were 29 DS patients, 44 NDS patients, and 39 HC. Executive functions were measured with the Mazes Subtest, Spatial Span Subtest, Letter Number Span Test, Color Trail Test, and Berg Card Sorting Test. Psychopathological symptoms were evaluated with the Positive and Negative Syndrome …

Measures For Explainable Ai: Explanation Goodness, User Satisfaction, Mental Models, Curiosity, Trust, And Human-Ai Performance, Robert R. Hoffman, Shane Mueller, Gary Klein, Jordan Litman

Michigan Tech Publications

If a user is presented an AI system that portends to explain how it works, how do we know whether the explanation works and the user has achieved a pragmatic understanding of the AI? This question entails some key concepts of measurement such as explanation goodness and trust. We present methods for enabling developers and researchers to: (1) Assess the a priori goodness of explanations, (2) Assess users' satisfaction with explanations, (3) Reveal user's mental model of an AI system, (4) Assess user's curiosity or need for explanations, (5) Assess whether the user's trust and reliance on the AI are …

When Self-Driving Fails: Evaluating Social Media Posts Regarding Problems And Misconceptions About Tesla’S Fsd Mode, Anne Linja, Tauseef Mamun, Shane Mueller

Michigan Tech Publications

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 …

Inconsistent Seduction: Addressing Confounds And Methodological Issues In The Study Of The Seductive Detail Effect, Kay L. Tislar, Kelly S. Steelman

Michigan Tech Publications

Introduction: The inclusion of interesting but irrelevant details in instructional materials may interfere with recall and application of the core content. Although this seductive detail effect is well researched, recent research highlights factors that may influence the effect size.

Objectives: The current study discusses confounds and methodological issues in the study of seductive details and outlines strategies for over coming them. These practices were then applied in a study that examined the role of learning objectives on the seductive detail effect.

Met hods: Seductive details were selected on the basis of interest and importance level and matched forword count and …

Kiss Goodbye To The ‘Kissing Knees’: No Association Between Frontal Plane Inward Knee Motion And Risk Of Future Non-Contact Acl Injury In Elite Female Athletes, Agnethe Nilstad, Erich Petushek, Kam Ming Mok, Roald Bahr, Tron Krosshaug

Michigan Tech Publications

The aim of this study was to investigate if frontal plane knee and hip control in single-leg squats or vertical drop jumps with an overhead target were associated with future non-contact anterior cruciate ligament (ACL) injury in elite female athletes. Of the 429 handball and 451 football athletes (age 21.5 ± 4.0 years, height 169.6 ± 6.4 cm, body weight 67.1 ± 8.0 kg), 722 non-injured and 56 non-contact ACL injured participants were eligible for analysis. We calculated lateral pelvic tilt, frontal plane knee projection angle, medial knee position, and side-to-side asymmetry in these from 2D videos recorded at baseline, …