This paper investigates how PhD students in software engineering perceive and navigate science communication, revealing motivations, communication channels, and barriers.

This study explores why and how users customize social AI, identifying motivations and contributions to a closer relationship.

This paper introduces a formal framework using multiparty session types to model and verify purpose compliance in distributed systems under GDPR.

The paper introduces Context-Dependent Argumentation Frameworks (CDAFs) to model how an agent strategically manipulates the success of arguments by choosing the external evaluation context.

This paper introduces a welfare-centric framework for designing institutional incentives, showing that optimizing for total social welfare often requires different incentive levels than those optimize…

This study surveyed Icelandic organizations to find that human factors, such as poor training and culture, pose significant cybersecurity risks that often bypass technical controls.

The paper introduces a secure, manifest-based framework that allows unprivileged processes to safely update and promote narrowly scoped privileged software components without requiring full administra…

This paper provides a theoretical analysis of Cumulative Prospect Theory (CPT) for multi-objective and multi-criteria decision-making under risk, focusing on Neilson's definitions of aversion and prop…

This paper introduces the because-calculus, a calculus that structurally separates registration and attestation using dual effect rows and level-indexed typing, and proves the Conflation Theorem.

The paper proposes a formal verification framework for statistical programs in Python using Why3-py and extends StatWhy to verify meta-analysis methods.

This paper explores the effectiveness of diverse LLM-generated explanations versus generic explanations in computer science education, finding that diverse explanations led to higher open-ended respon…

This paper extends gradient boosting to functions of vector inputs using a simple algorithm with histogram-based decision trees.

This paper studies the tension between speed and safety in technological races using a framed behavioral experiment on artificial intelligence development.

This study proposes a negotiation framework, using composite indices (RBTI and CATI), to explain how youth navigate competing privacy pressures when using smart voice assistants, finding that high usa…

This paper proposes an evolutionary framework for discovering developmental reward schedules in reinforcement learning, using three motivational components: agency, novelty, and reactivity.

This paper investigates the impact of performance-based financial incentives on task performance in visualization studies.

This survey systematically reviews resource consumption threats in large language models (LLMs) to provide a unified view of the problem landscape, from threat induction to mitigation.

The paper argues that current AI systems create an 'illusion of opting,' giving the appearance of meaningful choice while eroding genuine agency, and proposes new ethical frameworks to address this.