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    38978 research outputs found

    Evaluating Creativity of LLMs through Video Games

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    This research project investigates whether Large Language Models (LLMs) can produce creative outputs as judged by human evaluators, using the complex, multi-stage task of designing and building a video game. By tasking proprietary models with generating unconventional game concepts, requiring a structured self-evaluation phase to approximate recursive creative thinking, and using coding agents for implementation and revision, this study takes advantage of LLMs' relatively newer ability to not just generate ideas, but implement them with a higher degree of autonomy. The project employs a mixed-methods evaluation through Prolific participants to assess the video games for creativity and related dimensions including originality, effectiveness, and perceived authenticity, while also utilizing an AI-aware vs. AI-blind disclosure condition to explore how human perception of creativity shifts when the producer is known to be artificial. Exploratory analyses evaluate LLM reasoning traces and intermediate outputs to assess the process of video game generation. In operationalizing creativity as human judgment, this project also highlights longstanding tensions around how creativity is defined and measured, and how they are sharpened when the creator is non-human. Expected outcomes include empirical insights into whether humans attribute creativity to LLM-generated video games, and how these attributions differ based on awareness of AI involvement

    Employee moral emotions about unethical organizational practice as a stressor moderated by ethical leadership (Study 1 post-registration)

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    This project examined how employees react, when they perceive their organization has engaged in unethical practices. Further, the study aimed to: (a) examine whether guilt from unethical organization practices relate to mental health and attitudinal strains , and (b) test whether ethical leadership amplify or buffer those effects. Ultimately, the goal is to clarify when (and why) employees experience moral emotions, anger, shame, or contempt in response to organizational wrongdoing, and how those emotions translate into outcomes that matter for people and organizations (e.g., depression symptoms, psychological strain, affective commitment, turnover intentions, and psychological withdrawal). This is a post-registration for Study 1 of a two-part study

    ( PnP ) Structural Closure of the P versus NP Problem via Structural Variance Control

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    This registration presents a structural analysis of the P versus NP problem using the framework of Structural Variance Control (SVC). Rather than proposing a new algorithm, lower bound, or proof technique, the project examines whether a collapse of polynomial–time verification into deterministic polynomial–time computation is structurally admissible within the defining framework of computational complexity. By identifying and enforcing the intrinsic constraints that constitute the P versus NP problem—such as uniformity, verification–computation asymmetry, reduction invariance, machine independence, and encoding robustness—the analysis evaluates all conceivable collapse scenarios. The results indicate that no admissible structural variance remains along which P and NP could coincide. The work argues that the persistence of the P versus NP problem reflects a lack of structural latitude rather than a lack of technical ingenuity, reframing the problem as one of structural closure rather than unresolved proof

    Segmentation harmonization

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    This project aims to investigate the effectiveness of available harmonization tools for neuroimaging data when scanner and segmentation biases are compounded and when repeated measures of the same participants are present

    Homology and feature overlap in selective manual stopping

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    This study explored whether differences in selective stopping performance between homologous vs non-homologous effectors is shaped by the congruency vs. incongruency of visual consequences these effector movements produc

    Ultimate Ingestible Schema Language (UISL): A Deterministic Governance Architecture for Canonical Validation, Cryptographic Authority, and Immutable Continuity

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    The Ultimate Ingestible Schema Language (UISL) is a deterministic governance architecture for machine-interpreted artifacts. It enforces strict structural grammar, canonical byte construction, SHA-256 cryptographic hashing, ED25519 digital signature verification, append-only hash chaining, and custody preservation as mandatory conditions of validity. Validation is fail-closed. An artifact is considered valid only if structural compliance, canonical construction, cryptographic integrity, verified authority, and continuity alignment are satisfied. UISL is designed to eliminate semantic drift, silent mutation, and unverifiable modification in AI systems, enterprise compliance environments, licensing frameworks, and long-term digital record preservation. This project serves as a public technical disclosure aligned with a filed provisional patent application and associated Zenodo DOI publication

    Concept Containers as Representation-Level Regulation in Artificial Agents

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    We propose concept containers: reusable compressed representations that preserve causal structure while minimizing compute. Concept containers function as representation-level regulation by reducing repeated recomputation, stabilizing internal trajectories, and improving transfer at equal or lower cost. We formalize containers as intervention-relevant abstractions, propose measurable criteria (causal fidelity, transfer, compute reduction), outline architectural patterns for agent systems, and describe failure modes (especially over-compression) with practical guardrails (provenance and falsifiers). Container updates are treated as committed writes to a long-lived causal cache; judges/critics should be used only to rank candidates and estimate uncertainty, and high uncertainty (tie/abstain) should defer writes in favor of evidence-gathering or falsifier generation. Includes a concrete template and an instantiated example container

    Global Talent Management for an Age-inclusive Workforce - A Literature Review

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    This study systematically reviews the literature on older workers to examine how organizations manage, engage, and leverage late-career employees within global talent management systems

    Scoping Review: Consequences Of Open Mouth Posture

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    This Scoping Review aims to map health-related, functional, and participation-related consequences of mouth breathing and/or open mouth posture (Open Mouth Posture Syndrome, OMPS) as a primary habitual condition, based on primary studies from 2016–2026

    The Illusion of Political Power: Division, Democracy, and the Unconscious Citizen

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    This paper examines the paradox of democratic sovereignty: while citizens formally hold political power, they often experience collective powerlessness. Through philosophical and psychological analysis, the study argues that democratic weakness arises not only from institutional limitations but from internal division and conditioned political consciousness among citizens. The article explores voting as a moral transfer of authority, the psychological inversion of representation, and the structural effects of polarization. It proposes that genuine democratic strength depends on collective awareness, critical inquiry, and unity grounded in shared foundational principles

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