PSY Graduate Student Conference Papers

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    Preliminary evaluation of project Wichita Overdose Recovery Kit Expedited Delivery (WORKED)
    (Wichita State University, 2023-04-14) Vuong, Ngoc; Davis, Piper; Lewis, Rhonda K.
    Substantial increases in opioid overdose deaths underlie the need for the implementation of harm reduction strategies. One such harm reduction strategy entails improved access to naloxone, a medication that rapidly reverses an opioid overdose. However, naloxone remains largely inaccessible statewide and nationwide due to stigma and cost. In an effort to prevent opioid overdose deaths in Wichita and Sedgwick County, which has been disproportionately impacted by the opioid epidemic in Kansas, Safe Streets Wichita, a grassroots substance use prevention and harm reduction coalition, started a free volunteer-led intramuscular naloxone program. In January of 2023, the City of Wichita allocated funding toward Safe Streets Wichita to distribute 800 naloxone kits per month for five months, predominantly in overdose hotspots. The goals of this preliminary, mixed-methods process evaluation study were to determine whether Safe Streets Wichita met its program objectives, and more broadly, provide recommendations on how the free intramuscular naloxone program can improve. Using program data, outcomes to be measured are the number of kits distributed, whether they were distributed in overdose hotspots, and how many kits were reported to be used. Additionally, interviews will be conducted with program volunteers, partners, and naloxone kit recipients to solicit feedback on the free naloxone program. Early findings will be used to inform the fidelity, efficiency, accessibility, and sustainability of local naloxone access efforts in Wichita and Sedgwick County. A future evaluation study will determine the long-term impact of free intramuscular naloxone distribution on reducing opioid overdose deaths and building recovery capital in Wichita and Sedgwick County.
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    Judgments of difficulty in the presence of automation
    (Wichita State University, 2023-04-14) Driggs, Jade; Baldwin, Carryl L.
    As humans continue to incorporate automation into professional and personal settings, researchers are forced to reconsider how humans make judgments in a world where we are increasingly reliant on automated systems to meet our goals. 80 participants completed a visual search task. Critically, over 280 trials, participants alternated between performing the task themselves, and watching automation perform the same task. Task difficulty, a central cue to difficulty, was varied across four dimensions (i.e., clicks, feedback, set size, timing) and changed every five trials. Target identification, or whether a target was identified on a given trial, served as a peripheral cue to difficulty. After each trial, participants made a Judgment of Difficulty (JOD) by indicating if the trial was "easier" or "harder" than before. A multi-level logistic regression revealed significant differences in peripheral cue use (specifically weighting of misses) between participants who performed first and those who observed first (p < .001). Participants who performed first alternated to observing and began to continually down weight peripheral cues to difficulty for automation. Despite an identical task, these participants thought the task was easier for automation than it was for themselves. Participants who observed automation first reported depressed JODs which never reached the level of those who performed first. This suggests that initially observing automation can cause perceptions of ease to persist in one's own judgments of a task. Together, these results suggest that prior task experience serves as an important moderator in how humans make JODs for automated systems.
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    Identifying motivational factors in robot-based assist-as-needed rehabilitation
    (Wichita State University, 2022-04-29) Mosqueda, Gissele; Sutton, Rachel; Miranda, Virgil; Tri, Anna; Vangsness, Lisa; Yihun, Yimesker S.; Vangsness, Lisa; Yihun, Yimesker S.
    INTRODUCTION: Globally, 2.41 billion people can benefit from rehabilitation due to various injuries or diseases (WHO, 2019). Traditional rehabilitation relies on techniques that are physiological in nature (e.g., assisted stretching, tasks of everyday living; Langhorne, 2011). These exercises target physical needs but don't always mentally engage or motivate the patient fully in their rehabilitation. PURPOSE: It is important to understand the relationship between physical and mental factors as they relate to robot-based, assist-as-needed rehabilitation. This study was designed to determine how person based and task-based characteristics affected participants' performance or their judgements of difficulty (JODs) about the exercises. METHODS: Ten participants completed a 55-minute experiment in which they performed three tasks of daily living. The participants completed 8 sets of 5 repetitions of each task in a random order. After each of the 5 reps, the difficulty of the task was manipulated. Each level of difficulty was completed twice for each task. RESULTS: The results of the study indicated that participants' JODs did not affect their effort allocation decisions in relation to task engagement. On a metacognitive level, participants' JODs were most affected by the task's difficulty. To a lesser extent, JODs were also informed by performance-based feedback, which included task accuracy and physical effort. CONCLUSION: This pilot data indicates that JODs and task engagement decisions are distinct, but related constructs that are present during rehabilitation. Furthermore, the results present an introductory framework for understanding human engagement with assist-as-needed devices, particularly in the development of assist-as-needed exoskeletons.
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    Conspiracy beliefs, bullshit receptivity, & social media behaviors
    (Wichita State University, 2022-04-29) Canare, Rosalind H.; Lewis, Rhonda K.
    In the wake of the January 6th Insurrection of 2021, a new lens has been focused on conspiracy theories and their potential effects on public safety and civil discourse. From Pizzagate to Stop the Steal, a new body of literature is developing around conspiracy theories and their journey from the shadowy fringes of the internet to the bully pulpit of the Trump presidency. Conspiracy theories are nothing new, and even their promotion by a sitting president is not a unique occurrence, however, following the destruction and loss of life caused by the events of January 6th, a new facet of conspiracy theory has come under scrutiny: their means of dissemination. When statements are made without concern for the truth, those statements are bullshit. With Twitter users posting 350,000 tweets per minute, information can move faster than fact-checkers, which makes social media a breeding ground for bullshit that may be harder to detect by those who believe in conspiracy. The proposed study will incorporate the Generic Conspiracist Beliefs Scale, the Bullshit Receptivity Scale, and a novel Misinformation Detection Task that will have participants identify fake headlines presented as Twitter, Facebook, and Instagram posts. It is hypothesized that participants who endorse more conspiratorial beliefs will be more susceptible to bullshit, and therefore have lower levels of accuracy when it comes to identifying false information.
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    Holographic augmented reality visualization interface for exploration
    (Wichita State University, 2022-04-29) Bui, Bill; Hutton, Abbie; Adekalu, Oluwasayo; Hubener, Valerie; Zavala, P.; Hinshaw, Ramil; Karim, Radeef Ashhab Bin; Schoonover, Maggie; Smith, Kristyn; Patterson, Jeremy A.
    Based on Wichita's wheat harvesting nickname, Harvesters, Wichita State University NASA SUITS (Spacesuit User Interface Technologies for Students) team Harvestars proposed the integrated system H. A. R. V. I. E. (Holographic Augmented Reality Visualization Interface for Exploration) to prepare for the next Artemis moon landing. This design solution will assist astronauts with elevated demands of the lunar surface through navigation, terrain sensing, and an optimal display of suit status elements. Considering environmental constraints, the system architecture promotes efficient cross modal communication between the mission control center, other astronauts, and the user interface. Hands-free modality options are utilized such as gaze and speech recognition. To promote spatial learning, waypoint markers are displayed both in an allocentric world view map and egocentric first-person viewpoint. Spatial mapping, using depth sensing and 3D modeling, will read changes in displacement and elevation, and calculate the user's height to categorize hazardous objects. For pathfinding, our navigational system will create a directional arrow with the use of A* algorithm combined with spatial anchors. In the case of emergencies, distress beacons with color coded warning messages are displayed on navigational maps and displays. Throughout the design process, we conducted heuristic evaluations and Streamlined Cognitive Walkthroughs on a low fidelity prototype. Then, we implemented H.A.R.V.I.E into the HoloLens 2 and utilized the Rapid Iterative Testing & Evaluation method for human-in-the-loop testing. Our interface serves as a novel approach to enhance how astronauts navigate on missions using augmented reality. Final in-person testing will be conducted at NASA's Johnson Space Center.
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