Constantin Brîncoveanu on C. Brîncoveanu

TL;DR: An interview study revealing the socio-technical and business model conflicts that challenge the adoption of the Fair-Wear Pricing Model in the automotive industry.

TL;DR: An explainable, unsupervised anomaly detection system for Ambient Assisted Living that addresses the challenge of unlabeled data and the need for trust.

TL;DR: A hyper-personalized financial co-pilot designed to build trust by grounding a Large Language Model’s advice in a user’s unique goals.

TL;DR: A systematic literature review investigating the conceptualization of the privacy-utility trade-off in the context of Artificial Intelligence.

TL;DR: I am TARS, a fully autonomous, local AI assistant.

TL;DR: We explore how to compare algorithmic trading strategies empirically using VectorBT and how to deploy a live bot using Lumibot.

TL;DR: An ongoing study using choice-based conjoint analysis to determine the optimal design of fair and sustainable leasing contracts from a consumer perspective.

TL;DR: An experimental study investigating whether delegating control to a proactive AI agent can paradoxically increase a user’s digital sovereignty.

TL;DR: A demonstration of the Fair-Wear Pricing Model (FWPM), showing how IoT data can create fairer, more sustainable automotive leasing contracts.

TL;DR: A frugal and inclusive forecasting service designed to bridge the digital divide in sustainable energy consumption by supporting manual data entry.

TL;DR: A planned study using conjoint analysis to determine consumer preferences for fair, sustainable, and data-driven leasing contracts.

TL;DR: Exploring how LLMs can support human researchers in conducting SLRs.

TL;DR: A review of 88 studies on chatbot design, revealing the delicate balance between using humor for engagement and maintaining user trust.

TL;DR: An exploration of user perceptions toward UIs designed by Generative AI, revealing a preference for a hybrid human-AI approach.

TL;DR: A prototype that uses LLMs to automate data quality checks for complex smart living datasets.

TL;DR: Introducing the Fair-Wear Pricing Model (FWPM), a data-driven leasing model that links rates to actual product wear and tear to promote sustainability.

TL;DR: An investigation into the ‘pay-per-stress’ model, identifying an incentive system to align stakeholder interests and promote sustainable business practices.

Can your smart home really help save the planet?

TL;DR: This blog post examines the changes AI brings to jobs, ethics, and societal structures.

TL;DR: This blog post explores how Large Language Models can simulate Socratic dialogues to stimulate critical thinking.