Psychology Commons^™

Designing Explainable Ai To Improve Human-Ai Team Performance: A Medical Stakeholder-Driven Scoping Review, Harishankar V. Subramanian, Casey I. Canfield, Daniel Burton Shank

Engineering Management and Systems Engineering Faculty Research & Creative Works

The rise of complex AI systems in healthcare and other sectors has led to a growing area of research called Explainable AI (XAI) designed to increase transparency. In this area, quantitative and qualitative studies focus on improving user trust and task performance by providing system- and prediction-level XAI features. We analyze stakeholder engagement events (interviews and workshops) on the use of AI for kidney transplantation. From this we identify themes which we use to frame a scoping literature review on current XAI features. The stakeholder engagement process lasted over nine months covering three stakeholder group's workflows, determining where AI could …

Does Health Oriented Leadership And Access To On-Demand Mental Health Therapists Via Employee Assistance Programs Improve Employee Well-Being And Engagement?, Amber Rachelle Davis

Masters Theses

"Employee mental health effects are informally relevant in all facets of working adults’ lives. Considering the life-altering effects of the 2019 pandemic on work and society, mental health and work share applicability in conversations related to organizational outcomes. Based on the job demands-resource theory, personal demands are high in organizations where workers must adjust to returning to onsite work, in settings occupied by varying personalities, and ever-present political tension. These adjustments can be stressful for people and add new workplace challenges.

Work stress was found to be an antecedent for burnout (Tummers & Bakker, 2021), and leaders play an essential …

Class Size And Teacher Effects On Non-Cognitive Outcomes In Grades K-3: A Fixed Effects Analysis Of Ecls-K:2011 Data, Spyros Konstantopoulos, Ting Shen

Psychological Science Faculty Research & Creative Works

This study examines the association between class size, teacher characteristics and five non-cognitive student outcomes (i.e., self-control, interpersonal skills, approaches to learning, externalizing and internalizing problem behaviors) in grades K-3. Individual fixed-effects, that control for observed and unobserved time-invariant factors, including student and school time-constant variables, are employed to analyze national data from the Early Childhood Longitudinal Study, Kindergarten Class of 2010–11 (ECLS-K:2011). Results suggest a significant linear association between reducing class size and interpersonal skills. Teacher experience is saliently, positively and significantly related with student self-control, interpersonal skills, and approaches to learning, and negatively associated with externalizing problem behaviors. …

Detecting Mental Distresses Using Social Behavior Analysis In The Context Of Covid-19: A Survey, Sahraoui Dhelim, Liming Chen, Sajal K. Das, Huansheng Ning, Chris Nugent, Gerard Leavey, Dirk Pesch, Eleanor Bantry-White, Devin Michael Burns

Computer Science Faculty Research & Creative Works

Online social media provides a channel for monitoring people's social behaviors from which to infer and detect their mental distresses. During the COVID-19 pandemic, online social networks were increasingly used to express opinions, views, and moods due to the restrictions on physical activities and in-person meetings, leading to a significant amount of diverse user-generated social media content. This offers a unique opportunity to examine how COVID-19 changed global behaviors regarding its ramifications on mental well-being. In this article, we surveyed the literature on social media analysis for the detection of mental distress, with a special emphasis on the studies published …

Don’T Touch That Dial: Psychological Reactance, Transparency, And User Acceptance Of Smart Thermostat Setting Changes, Matthew Heatherly, Denise A. Baker, Casey I. Canfield

Psychological Science Faculty Research & Creative Works

Automation inherently removes a certain amount of user control. If perceived as a loss of freedom, users may experience psychological reactance, which is a motivational state that can lead a person to engage in behaviors to reassert their freedom. In an online experiment, participants set up and communicated with a hypothetical smart thermostat. Participants read notifications about a change in the thermostat's setting. Phrasing of notifications was altered across three dimensions: strength of authoritative language, deviation of temperature change from preferences, and whether or not the reason for the change was transparent. Authoritative language, temperatures outside the user's preferences, and …

Guest Editor’S Introduction April 2023, Amy M. Belfi

Psychological Science Faculty Research & Creative Works

One of the most commonly reported reasons for listening to music is simply because people find it enjoyable (Sanflippo et al., 2020). Despite aesthetic appreciation playing an important role in the motivation to listen to music, aesthetic responses to music have not been investigated as frequently as in other types of artistic modalities. This is perhaps due to the history of the field of music perception and cognition, which has traditionally focused more on basic perceptual functions and components of music, such as perception of pitch and rhythm, rather than aesthetic aspects of music listening. At this point, the study …

Comparing Music- And Food-Evoked Autobiographical Memories In Young And Older Adults: A Diary Study, Kelly Jakubowski, Amy M. Belfi, Lia Kvavilashvili, Abbigail Ely, Mark Gill, Gemma Herbert

Psychological Science Faculty Research & Creative Works

Previous Research Has Found that Music Brings Back More Vivid and Emotional Autobiographical Memories Than Various Other Retrieval Cues. However, Such Studies Have Often Been Low in Ecological Validity and Constrained by Relatively Limited Cue Selection and Predominantly Young Adult Samples. Here, We Compared Music to Food as Cues for Autobiographical Memories in Everyday Life in Young and Older Adults. in Two Separate Four-Day Periods, 39 Younger (Ages 18–34) and 39 Older (Ages 60–77) Adults Recorded their Music- and Food-Evoked Autobiographical Memories in Paper Diaries. Across Both Age Groups, Music Triggered More Frequent Autobiographical Memories, a Greater Proportion of Involuntary …

Zoom Fatigue And Virtual Interviewing: The Effects Of Interpersonal Distance, Lillian Rose Schell

Masters Theses

"This research examines breaches of interpersonal distance, one of the proposed causes of Zoom fatigue, within the context of a job interview. It is proposed that when an interviewer perceives a job applicant to be close to them, Zoom fatigue increases and ratings of the applicant decrease. Participants completed a Zoom Exhaustion and Fatigue scale before and after watching an asynchronous video interview in which the size of the job applicant’s face varied between conditions. It was found that breaches of interpersonal distance did not influence self-reported Zoom fatigue. However, breaches of interpersonal distance did influence ratings of the job …

Perceptions Of Violations By Artificial And Human Actors Across Moral Foundations, Timothy Maninger, Daniel Burton Shank

Psychological Science Faculty Research & Creative Works

Artificial agents such as robots, chatbots, and artificial intelligence systems can be the perpetrators of a range of moral violations traditionally limited to human actors. This paper explores how people perceive the same moral violations differently for artificial agent and human perpetrators by addressing three research questions: How wrong are moral foundation violations by artificial agents compared to human perpetrators? Which moral foundations do artificial agents violate compared to human perpetrators? What leads to increased blame for moral foundation violations by artificial agents compared to human perpetrators? We adapt 18 human-perpetrated moral violation scenarios that differ by the moral foundation …

Perceptions Of Violations By Artificial And Human Actors Across Moral Foundations, Timothy Maninger, Daniel Burton Shank

Psychological Science Faculty Research & Creative Works

Artificial agents such as robots, chatbots, and artificial intelligence systems can be the perpetrators of a range of moral violations traditionally limited to human actors. This paper explores how people perceive the same moral violations differently for artificial agent and human perpetrators by addressing three research questions: How wrong are moral foundation violations by artificial agents compared to human perpetrators? Which moral foundations do artificial agents violate compared to human perpetrators? What leads to increased blame for moral foundation violations by artificial agents compared to human perpetrators? We adapt 18 human-perpetrated moral violation scenarios that differ by the moral foundation …

Measurement Effects In Decision-Making, Devin Michael Burns, Charlotte Hohnemann

Psychological Science Faculty Research & Creative Works

When participants are shown a series of stimuli, their responses differ depending on whether they respond after each stimulus or only at the end of the series, in what we call a measurement effect. These effects have received paltry attention compared with more well-known order effects and pose a unique challenge to theories of decision-making. In a series of two preregistered experiments, we consistently find measurement effects such that responding to a stimulus reduces its impact on later stimuli. While previous research has found such effects in noncumulative tasks, where participants are instructed only to respond to the most recent …

Guiding A Human Follower With Interaction Forces: Implications On Physical Human-Robot Interaction, George L. Holmes, Keyri Moreno Bonnett, Amy Costa, Devin Michael Burns, Yun Seong Song

Psychological Science Faculty Research & Creative Works

This work challenges the common assumption in physical human-robot interaction (pHRI) that the movement intention of a human user can be simply modeled with dynamic equations relating forces to movements, regardless of the user. Studies in physical human-human interaction (pHHI) suggest that interaction forces carry sophisticated information that reveals motor skills and roles in the partnership and even promotes adaptation and motor learning. In this view, simple force-displacement equations often used in pHRI studies may not be sufficient. To test this, this work measured and analyzed the interaction forces (F) between two humans as the leader guided the blindfolded follower …

Sensing Small Interaction Forces Through Proprioception, Fazlur Rashid, Devin Michael Burns, Yun Seong Song

Psychological Science Faculty Research & Creative Works

Understanding the human motor control strategy during physical interaction tasks is crucial for developing future robots for physical human-robot interaction (pHRI). In physical human-human interaction (pHHI), small interaction forces are known to convey their intent between the partners for effective motor communication. The aim of this work is to investigate what affects the human's sensitivity to the externally applied interaction forces. The hypothesis is that one way the small interaction forces are sensed is through the movement of the arm and the resulting proprioceptive signals. A pHRI setup was used to provide small interaction forces to the hand of seated …

Reducing Kidney Discard With Artificial Intelligence Decision Support: The Need For A Transdisciplinary Systems Approach, Richard Threlkeld, Lirim Ashiku, Casey I. Canfield, Daniel Burton Shank, Mark A. Schnitzler, Krista L. Lentine, David A. Axelrod, Anil Choudary Reddy Battineni, Henry Randall, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

Purpose of Review: A transdisciplinary systems approach to the design of an artificial intelligence (AI) decision support system can more effectively address the limitations of AI systems. By incorporating stakeholder input early in the process, the final product is more likely to improve decision-making and effectively reduce kidney discard.

Recent Findings: Kidney discard is a complex problem that will require increased coordination between transplant stakeholders. An AI decision support system has significant potential, but there are challenges associated with overfitting, poor explainability, and inadequate trust. A transdisciplinary approach provides a holistic perspective that incorporates expertise from engineering, social science, and …

Music And Autobiographical Memory, Amy M. Belfi, Kelly Jakubowski

Psychological Science Faculty Research & Creative Works

Listening to music can bring back vivid memories from one's past. In recent years there has been an increase in both scientific and public interest in the ability of music to evoke vivid, emotional, and rich autobiographical memories. For example, several “viral” videos have taken the internet by storm, illustrating powerful instances of music evoking memories in individuals with dementia – perhaps the most recent example is a clip of a former ballerina with Alzheimer's disease who recalls her dance movements at the sound of “Swan Lake.” Current scientific work in this area informs the mechanisms by which music induces …

Outcomes Of Training In Smart Home Technology Adoption: A Living Laboratory Study, David Wright, Daniel Burton Shank, Thomas Yarbrough

English and Technical Communication Faculty Research & Creative Works

While various forms of smart home technology have been available for decades, they have yet to achieve widespread adoption. Although they have risen in popularity during recent years, the general public continue to rate smart home devices as overly complex compared to their benefits. This article reports the results of an eight-month study into the effects of training on smart home technology adoption. Building upon the results of a previous study, and using the same living laboratory approach, we studied the effects of training on the attitudes of a group of residents toward use of smart home technology. Results show …

Evaluating A Game Designed To Teach Gender Bias, Jessica Frame

Undergraduate Research Conference at Missouri S&T

Gender bias is prevalent in today's work force; while it doesn't look like it did a few decades ago, it is still very critical to detect and address it. With how unconscious and covert gender bias can be, it is difficult to teach in a normal environment without some backlash and varying information due to teaching styles, leading to differed outcomes of processing information. The WAGES Project, WAGES standing for Workshop Activity for Gender Equity Simulation, is an interactive research-based activity that showcases how gender bias within the workforce is relevant in a manner different than that of a basic …

Communicating Uncertain Information From Deep Learning Models To Users, Harishankar Vasudevanallur Subramanian

Masters Theses

“The use of Artificial Intelligence (AI) decision support systems is increasing in high-stakes contexts, such as healthcare, defense, and finance. Uncertainty information may help users better leverage AI predictions, especially when combined with domain knowledge. I conducted two human-subject experiments to examine the effects of uncertainty information with AI recommendations. The experimental stimuli are from an existing image recognition deep learning model, one popular approach to AI. In Paper I, I evaluated the effect of the number of AI recommendations and provision of uncertainty information. For a series of images, participants identified the subject and rated their confidence level. Results …

The Technology Fast: Transformational Learning As Changes In Behavior And Perception Beyond The Classroom, Daniel Burton Shank, Nathan Shank, Mallory North

Psychological Science Faculty Research & Creative Works

Digital technology has become an integral, if not overwhelming, part of many people’s lives. As the use and pervasiveness of technology has increased, the popularity of taking a sabbath from it has also increased. In this paper we ask if and how a technology fast assignment influences students’ lives beyond the classroom. Transformative learning, supported by active and experiential learning, suggests that in order for students to reap the greatest benefits of education, learning must influence perceptions and behavior outside of the class environment. In two semesters of “Human-Computer Interaction” classes, students were assigned a technology fast in which they …

A Markov Chain Approach For Forecasting Progression Of Opioid Addiction, Abhijit Gosavi, Susan L. Murray, N. Karagiannis

Engineering Management and Systems Engineering Faculty Research & Creative Works

The U.S. is currently facing an opioid crisis. Naltrexone is a common treatment for drug addiction; it reduces the desire to take opiates. However, addicts often stop treatment or continue to use opioids while in treatment. This results in increased fatalities and associated costs. A Markov-chain model is presented to analyze the progression of opioid addiction to assist the medical community in developing appropriate treatments. The model includes patients who continue opiate use while on naltrexone (blocked patients) and those who use opiates after missing naltrexone doses (unblocked patients). The other types of patients are abstinent (the best-case scenario) and …

Communicating Uncertain Information From Deep Learning Models In Human Machine Teams, Harishankar V. Subramanian, Casey I. Canfield, Daniel Burton Shank, Luke Andrews, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

The role of human-machine teams in society is increasing, as big data and computing power explode. One popular approach to AI is deep learning, which is useful for classification, feature identification, and predictive modeling. However, deep learning models often suffer from inadequate transparency and poor explainability. One aspect of human systems integration is the design of interfaces that support human decision-making. AI models have multiple types of uncertainty embedded, which may be difficult for users to understand. Humans that use these tools need to understand how much they should trust the AI. This study evaluates one simple approach for communicating …

Erratum: Causal Knowledge Promotes Behavioral Self-Regulation: An Example Using Climate Change Dynamics (Plos One (2017) 12:9 (E0184480) Doi: 10.1371/Journal.Pone.0184480), David K. Sewell, Peter J. Rayner, Daniel Burton Shank, Sophie Guy, Simon D. Lilburn, Saam Saber, Yoshihisa Kashima

Psychological Science Faculty Research & Creative Works

In the Task overview: Managing a dynamic human-climate system subsection of the Introduction, there is an error in equation 4. There is a factor of τ that is missing from the denominator of the first term that appears on the right-hand side of the equation. Please view the complete, correct equation here [Formula Presented].

Games For Organizational Training: Gamer Motivation Profile And Organizational Training Climate Effect Of Trainee Preference For Gamified Training, Brooke-Nicole Woods Ruffin

Masters Theses

“Gamified training is often utilized in organizations as a way to revamp their training and gain the attention of their employees. However, this training is expensive, and research is needed to help ensure that this training delivery is successful. In this study, first an individual’s gamer motivation profile is compared with learning outcomes that share the same elements. This was completed to determine if the elements that they looked for in playing video games were in alignment with those same elements in training In addition, it was explored whether the preference for participating in video games based on an individual’s …

A Systems Factorial Technology Dataset Using Visual And Tactile Cues To Guide Balance, Devin Michael Burns

Psychological Science Faculty Research & Creative Works

This data contains response times for 19 participants from a Systems Factorial Technology paradigm using visual and vibratory cues, as described in "The Balance Between Vision and Touch [1]". These cues could indicate one of four directions, and participants responded by shifting their weight in that direction. This was detected using a Wii Balance Board. Each participant has 720 trials: 1/3 with only a haptic cue, 1/3 with only vision, and 1/3 with both. Cues were equally divided into high and low salience versions.

Trunk Velocity-Dependent Light Touch Reduces Postural Sway During Standing, Anirudh Saini, Devin Michael Burns, Darian Emmett, Yun Seong Song

Psychological Science Faculty Research & Creative Works

Light Touch (LT) has been shown to reduce postural sway in a wide range of populations. While LT is believed to provide additional sensory information for balance modulation, the nature of this information and its specific effect on balance are yet unclear. In order to better understand LT and to potentially harness its advantages for a practical balance aid, we investigated the effect of LT as provided by a haptic robot. Postural sway during standing balance was reduced when the LT force (~ 1 N) applied to the high back area was dependent on the trunk velocity. Additional information on …

The Default-Mode Network Represents Aesthetic Appeal That Generalizes Across Visual Domains, Edward A. Vessel, Ayse Ilkay Isik, Amy M. Belfi, Jonathan L. Stahl, G. Gabrielle Starr

Psychological Science Faculty Research & Creative Works

Visual aesthetic evaluations, which impact decision-making and well-being, recruit the ventral visual pathway, subcortical reward circuitry, and parts of the medial prefrontal cortex overlapping with the default-mode network (DMN). However, it is unknown whether these networks represent aesthetic appeal in a domain-general fashion, independent of domain-specific representations of stimulus content (artworks versus architecture or natural landscapes). Using a classification approach, we tested whether the DMN or ventral occipitotemporal cortex (VOT) contains a domain-general representation of aesthetic appeal. Classifiers were trained on multivoxel functional MRI response patterns collected while observers made aesthetic judgments about images from one aesthetic domain. Classifier performance …

People's Self-Reported Encounters Of Perceiving Mind In Artificial Intelligence, Daniel Burton Shank, Alexander Gott

Psychological Science Faculty Research & Creative Works

This article presents the data from two surveys that asked about everyday encounters with artificial intelligence (AI) systems that are perceived to have attributes of mind. In response to specific attribute prompts about an AI, the participants qualitatively described a personally-known encounter with an AI. In survey 1 the prompts asked about an AI planning, having memory, controlling resources, or doing something surprising. In survey 2 the prompts asked about an AI experiencing emotion, expressing desires or beliefs, having human-like physical features, or being mistaken for a human. The original responses were culled based on the ratings of multiple coders …

Final A&Oer Report: Psych 6700 Training And Development, Taught In Spring 2019, Nathan W. Weidner

Resources

No abstract provided.

The Effects Of Ambient Benevolent Sexism And Its Implications In The Workplace, Amanda E. Mosier

Masters Theses

"The purpose of this study was to examine women's reactions to witnessing benevolent sexism (i.e., ambient benevolent sexism). Female participants (n = 59) witnessed another woman being treated with hostile sexism (HS), benevolent sexism (BS), or no sexism and their reactions were examined in respect to a) working memory capacity, b) task-specific self-efficacy, c) mental intrusions of incompetence, and d) negative affect. The study also examined how participants' personal endorsement of BS impacted the relationship between sexism condition and the outcome variables. Results indicate that there were no direct effects of sexism condition on the outcome variables, though there was …

Comparing Groups' Affective Sentiments To Group Perceptions, Daniel Burton Shank, Alexander Burns

Psychological Science Faculty Research & Creative Works

Affect control theory focuses on interaction among individuals, not groups. Groups, like individual identities, vary in affective sentiments across the dimensions of evaluation, potency, and activity, but a separate literature shows the importance of the group perceptions of entitativity, homogeneity, essentialism, and agency. Therefore, to consider affect control theory's applicability to groups, we compare these principal group perceptions to affective sentiments for 64 group concepts. The results reveal that affective sentiments correlate with all four group perceptions in meaningful ways.