Digital Commons Network^™

Does Ai-Driven Empathy Work In Healthcare Marketing? The Impact Of Cognitive And Affective Empathy In Chatbots And The Moderating Role Of Illness Type, Jee Won Kim, Yeonsoo Kim, Jino Chung

Asia Marketing Journal

Recognizing the growing potential of AI-generated chatbots in healthcare and healthcare marketing, this study investigates how different types of chatbot-expressed empathy influence user responses in stigmatized versus non-stigmatized health contexts. Perceived authenticity is introduced as a key mediator. Drawing on Mind Perception Theory, a 3 (empathy: none, cognitive, affective) × 2 (illness type: stigmatized, non-stigmatized) online experiment was conducted. The findings show that affective empathy reduced perceived authenticity, which subsequently decreased user satisfaction, perceived understanding, reuse intention, and follow intention. These indirect effects varied by illness type: in stigmatized contexts, non-empathetic communication was viewed most favorably, whereas in non-stigmatized contexts, …

Unpacking Virtual Influencer Persuasiveness: Effects Of Social Attributes, Self-Congruence, And Attachment On Brand Attitude And Purchase Intention, You Jin Song, Sejung Marina Choi

Asia Marketing Journal

As virtual influencers (VIs) increasingly function as prominent intermediaries in brand–consumer interactions, there is a critical need for systematic investigation into their impact on consumer behavior. This study empirically explores how specific attributes of VIs—competence, warmth, and eeriness—shape consumer perceptions, attachment, and brand engagement. Results indicate that competence and warmth significantly enhance VI attractiveness, whereas eeriness diminishes attractiveness and weakens consumer responses. Furthermore, attractiveness emerges as a primary determinant of consumer attachment to VIs, with actual self-congruence acting as a moderator that reduces this attachment. Notably, stronger consumer attachment fosters more positive brand attitudes, which subsequently elevate purchase intention. These …

Are You Ready To Embrace Ai-Generated Art? Exploring The Differential Effects Of Ai Versus Human Agents On Consumer Response, Seojin Stacey Lee, Yaeri Kim, Kiwan Park

Asia Marketing Journal

With a growing integration of artificial intelligence (AI) into creative domains, understanding its impact on consumer responses remains a critical area of inquiry. This research examines how agent type (AI vs. human) and art type (fine art vs. art-infused product) influences consumer purchase intention, along with the underlying psychological mechanism. Across three empirical studies, we find that consumers report higher purchase intention for art-infused products compared to fine art when created by AI. In contrast, this difference in purchase intention is diminished when the products are created by human artists. Perceived incompatibility functions as a moderated mediator in this process. …

Lessons Learned From Global Responses To Criminal Abortion Laws, Cynthia Soohoo

Fordham Law Review Online

No abstract provided.

Abortion, Power And The Future Of Healthcare, Elizabeth Kukura

Fordham Law Review Online

No abstract provided.

Deferred Action Theory As A Framework For Adaptive Educational Procurement: Navigating Uncertainty And Digital Transformation In Education Systems, Herdiana Herdiana, B. Yuliarto Nugroho, Andreo Wahyudi Atmoko

Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan

Public procurement constitutes a significant portion of national expenditure and directly affects economic growth, service delivery, and governance quality. In Indonesia, education sector procurement absorbs more than half of the allocated budget but remains vulnerable to inefficiencies, rigid procedures, and corruption risks. This study aims to conceptualize an adaptive framework for Public Procurement Business Process Management (PP-BPM) that addresses environmental uncertainty, digital transformation, and governance challenges. This conceptual study integrates Deferred Action Theory (DAT), Emergent Business Processes (EBP), and Business Process Management (BPM) to develop a multi-level framework for procurement. The analysis covers strategic, managerial, and operational dimensions, emphasizing deferment …

Condition Monitoring Of Induction Motor Using Motor Current Signature Analysis, Francis Ikechukwu Obianke, Joseph Okhaifoh, Benjamin Akinloye

Al-Bahir

Induction machines serve as the cornerstone and driving force of modern manufacturing and production systems. This research aims to monitor and analyse the operating performance of induction motors using motor current signature analysis (MCSA). MCSA is employed to process the current signal of a motor into a frequency spectrum, known as the current signature by applying the Fast Fourier Transform (FFT) algorithm. The underlying principle is that vibration generated in a motor is closely related to the changes of the magnetic field density, and the induced voltage varies with the stator current.

A simulation model replicating the behaviour of an …

Reimagining Instructional Planning: Balancing Real-Life Experiences With Ai Instantaneity, Shaanii-Grace Robinson-Ritzdorf

Essays in Education

Instructional planning challenges teachers to balance creativity, time, and application of real-life experiences. Artificial intelligence (AI) offers rapid lesson ideas, personalized resources, and adaptive tools, yet uncritical use risks generic, disengaging instruction. This essay was based on the background study that examined elementary teachers’ integration of real-life experiences in science and math lessons in northwestern New Mexico through lesson plans, professional development materials, and interviews. Results revealed teacher-centered, procedural approaches with limited connection to students’ lived experiences, while personally designed lessons allowed greater flexibility for meaningful examples. Thoughtfully guided AI can bridge this gap, supporting scenario-based learning, differentiation, and student …

Choose Your Story: An Interactive Guide To Management Methods For Technical Gis Staff, Nathan Langdon, Phillip Leveille

GIS/ValuationTechnologies Conference 2026

This presentation will be a fun, highly interactive discussion that will aim to equip any leader with a comprehensive framework for managing technical staff effectively in today’s office landscape. As the audience, you will help guide the room and presentation through a series of decisions that will demonstrate the importance of a well-trained, productive team who are held accountable through meaningful performance metrics and data quality standards. During our journey we explore managing a remote workforce and the impact of technology like AI and machine learning.

Beyond The Acre, James Werner

GIS/ValuationTechnologies Conference 2026

The presentation will focus on a recent project done for the Tippecanoe County Assessor's Office using Blackshark Ai ORCA HUNTER Artificial Intelligence technology integrated with ESRI ARC GIS Online in order to determine land use for assessment purposes and assignments of homestead outlined in the following story map https://storymaps.arcgis.com/stories/e622370b225b480286ee3de074050a0b/print

Building Ground Work Agency: The Power Of Applied Learning Through A Student-Run Marketing Agency, Laurie Michaelson

Atlantic Marketing Association Proceedings

No abstract provided.

Tribal Sovereignty In The 21st Century: The Divergence Of The Founder’S Vision To Embracing Tribal Exclusivity, Travis Younce

Helms School of Government Spring Public Policy Conference

No abstract provided.

Security Partnerships In West Africa And The Sahel: Strategies To Prevent Violent Extremism And Terrorism Spillover Into Ghana, Afua Boatemaa Yakohene, Mary Prentice, Peter Joilah Lambon, Ben Ellis

Helms School of Government Spring Public Policy Conference

No abstract provided.

Deterrence Under Strain: Assessing Us-Japan Strategic Alignment, Kaitlyn Elizabeth Early, Carl Rehberg

Helms School of Government Spring Public Policy Conference

No abstract provided.

The Trap Of A Multipolar World – Brics Using Reflexive Control To Lure Usa And Europe Into Liberal Self-Defeating Assumptions, Boyan N. Mitrakiev Mr.

Helms School of Government Spring Public Policy Conference

No abstract provided.

Proactive Disruption Of Adversarial Learning Via Systematic Feedback Loop Corruption, Google Case Managers Picozzi, Dishant Mathur

Defensive Publications Series

Modern fraud prevention is often limited by a reactive approach that inadvertently provides training data to adversaries, allowing them to refine tactics whenever a detection signal or account block occurs. To address this feedback loop, a framework is disclosed for the proactive disruption of fraudulent operations by systematically corrupting internal adversarial learning processes. The method involves mapping entry vectors, identifying behavioral heuristics used by operators, and injecting inconsistent success signals, such as decoy enthusiasm and variable response compliance, into the interaction flow. Additionally, operational workflows are desynchronized to increase coordination friction and propagate stress across the scam network. By rendering …

Telemedicine Kiosks: Can Technology Solve Rural Mississippi's Healthcare Crisis?, Babu George, Martha Ravola

Journal of Public Health in the Deep South

Background: Mississippi’s rural counties face hospital gaps, clinician shortages, and limited broadband/device access that collectively delay care and constrain telehealth uptake.

Purpose: This paper assesses whether telemedicine kiosks can improve rural healthcare access in Mississippi while also supporting viable local entrepreneurship and community development.

Methods: A conceptual, policy-and-market analysis integrated narrative literature synthesis, secondary data and policy review, and 5-year financial modeling under two cost-allocation scenarios: an Operator Model (subscription fees covered by partners/grants) and a Network Model (subscription fees borne by the kiosk operator).

Results: Kiosks with embedded connectivity and diagnostic peripherals can deliver device-independent virtual care and directly …

Promoting A Culture Of Academic Integrity In The Context Of Artificial Intelligence: Lessons From One School Of Public Health In The Southeast, Gregory Pavela, Lindsay C. Aycock, Mercy Aula, Angela Sullivan, Matthew Fifolt

Journal of Public Health in the Deep South

No abstract provided.

Empowering Educators With Generative Ai In Higher Education: Design Patterns For Visible Learning, Jeanne Charles

Essays in Education

A student submits a paper that reads smooth and confident. With generative AI, that polish no longer proves learning. Higher education now needs course designs that keep student thinking visible and assessable.

This literature review synthesizes 39 empirical studies (2024 through early 2026) on generative AI in higher education. It treats 22 learner-facing classroom studies as design cases and codes task type, permitted AI use, instructor guardrails, and measured outcomes. It uses the remaining studies to situate adoption, policy, and academic integrity risks.

Across the evidence, outcomes follow the design more than the tool. AI supports learning when it expands …

Therepairer_Vol29no11_Nov1924

The Repairer

No abstract provided.

Therepairer_Vol29no5_May1924

The Repairer

No abstract provided.

Heliophysics Enhanced Learning For Intelligent Orbits (Helio), Kylie Nager, Akash Joseph, James Kirk, Payton Miller

Student Research Symposium (SRS)

Satellite constellations in near-Earth orbit are increasingly vulnerable to solar flares, coronal mass ejections, and high-speed solar wind streams that disrupt communications, power systems, and orbital stability. Current mission architectures rely on delayed ground intervention and do not leverage predictive solar data for autonomous response. The HELIO project addresses this gap by developing an AI-driven resilience layer that converts real-time heliophysics forecasts into coordinated operational decisions for CubeSat swarms. HELIO integrates pretrained solar forecasting models such as NASA and IBM’s SURYA foundation model to predict active-region evolution, flare probability, and solar-wind velocity. A lightweight decision-intelligence framework interprets these forecasts and …

Silencing The Space Invaders: Disrupting Quorum Sensing To Halt Microbial Virulence In Space, Heather Mari Hall Alcala

Student Research Symposium (SRS)

Silencing the Space Invaders: Disrupting Quorum Sensing to Halt Microbial Virulence in Space Heather Mari Hall Alcala and Alba Chavez Department of Human factors and Neurobiology, College of Arts and Sciences, Embry-Riddle Aeronautical University. 1 Aerospace Blvd, Daytona Beach, 32114, FL, USA. Previous research has identified virulence properties in fungal isolates from the International Space Station (ISS) mycobiome, highlighting significant health risks to astronauts during long-term missions. Yeasts exposed to space conditions exhibit enhanced resilience to extreme environments, including microgravity and radiation, while showing increased expression of virulence-related phenotypes such as filamentation, biofilm formation, and community development. Microbial communication via …

Autonomous Robotic Assembly Stations For Planetary Missions: A Simulation Driven Study With Lego Manipulation, Dheer Chhabria

Student Research Symposium (SRS)

Autonomous robotic assembly is critical for constructing infrastructure on lunar and Martian surfaces, where human intervention is limited by communication delays and extreme environments. This study presents a comprehensive simulation framework using physics based robotic arm simulations to validate dual arm robotic assembly with LEGO based modular blocks under simulated planetary conditions. The system integrates RGB-D perception, vision based object detection, 7-DOF arm control, and coordinated pick and place tasks to achieve autonomous stacking and assembly of the blocks. Preliminary results demonstrate robust block detection, collision free trajectories, and high grasp accuracy in reduced gravity. The methodology surveys state of …

Openarm, Elijah Iwanoff, Killian Embler, Salvatore Pizzurro, Manuel Buenrostro Macedo

Student Research Symposium (SRS)

This undergraduate research project advances a low-cost, open-source manipulation system for a university-scale quadruped, extending the Embry-Riddle OpenMutt platform with a compact 3-R arm and modular end-effectors. Motivated by the high purchase price and limited extensibility of commercial quadrupeds, we target a reproducible, student-serviceable alternative that supports loco-manipulation research and hands-on learning in controls, kinematics, and mechatronics. Open quadruped efforts such as Stanford Doggo demonstrate that transparent, replicable designs can deliver serious research capability at student budgets [1]. Our arm leverages lightweight cycloidal gearing to achieve high torque density in a printable form factor suitable for rapid iteration and repair, …

Hybrid Hierarchical Swarm Robots For Planetary Exploration, Eeman Abid

Student Research Symposium (SRS)

This project proposes a novel approach to planetary exploration utilizing a hybrid hierarchical swarm robotic system inspired by social insect colonies. The project will develop a centralized 'queen' robot that provides high-level direction to a team of semi-autonomous 'worker' robots, each capable of making local decisions while following the queen's strategic guidance. This structure aims to enhance adaptability and efficiency by balancing centralized coordination with decentralized execution. The approach aligns with NASA's CADRE mission, which uses coordinated rovers to map the lunar surface. By combining simulation in ROS2/Gazebo with physical testing on lunar regolith simulant, this research will evaluate how …

Low Temperature Plasma Simulation Using The Lattice Boltzmann Method, Shepard Summers, Christopher Anderson

Student Research Symposium (SRS)

Pulsed Low-Temperature Plasma (LTP) has become a subject of interest in various fields, including propulsion, material processing, and medical technology. LTP flows are challenging to accurately simulate due to their physical complexities and multiscale nature, spanning scales ranging from meters on the system level to nanoscale when investigating the interactions between ions and electrons. The conventional models for simulating LTP flow are not able to handle this wide range of scales in a computationally efficient manner. The Boltzmann method, which is rooted in kinetic theory rather than Newtonian, can efficiently tackle the multiscale properties of LTP flow by directly solving …

Differential Treatment Responses Among Comorbidity-Based Subgroups In Individuals With Autism Spectrum Disorder And Clinical Epilepsy, Jenna E. Franklin, Richard E. Frye Md, Phd

Cumberland Medica

Children with Autism Spectrum Disorder (ASD) have elevated rates of epilepsy, seizures, and abnormal electroencephalograms compared to the general population. Many also experience co-occurring comorbidities, which have been associated with epilepsy severity. Although various treatments have shown improvements in seizures and ASD symptomatology, there is limited research on how treatment effectiveness varies by comorbidity profiles. In this study, we characterized individuals with ASD and clinical seizures into specific patient cohorts based on comorbidities and evaluated the responses to traditional antiepileptic drugs (AEDs), non-AED seizure treatments, and non-traditional ASD interventions. Data were collected from a parent-reported, cross-sectional survey previously used to …

Radiation Station, Maybelline Flesher, Conner Callahan, Madison Smith, Elizabeth Emison, Ava Vazquez, Lily Caramagna, Jeremy Rice, Axon Deadrick, Demiya Wright, Rilie Nye, Anthony Raduazzo, Rowan Combs

Student Research Symposium (SRS)

With the advent of the solar maximum and frequent coronal mass ejections, world governments are in search of mitigation and damage control methods in case of such an event. These methods could protect against communication disruptions, fried satellites, and destroy technology on Earth. Hazardous Materials (hazmat) teams and Emergency Medical Service (EMS) teams need to be protected from the many risks that could arise in the event of a high energy solar flare or coronal mass ejection. Testing different types of materials for the Personal Protective Equipment (PPE) of EMS workers is vitally important, especially with advancement of new materials …

Building Trust Through Outreach: The Skagit County Experience, Danny Hagen

GIS/ValuationTechnologies Conference 2026

Property assessment is often seen as a technical, back-office function — until taxpayers receive their value notices. At that point, communication and trust matter as much as statistical accuracy. This session will highlight practical outreach strategies from Skagit County, Washington, where the Assessor’s Office has rebuilt its approach to public engagement. From senior exemption workshops and online portals to community presentations, social media, and partnerships with local councils, we’ll explore how proactive communication can reduce appeals, improve transparency, and build long-term public trust. Participants will leave with a playbook of strategies for engaging their own communities, tailored to different audiences …