activity
20192026
most citedDetecting Personality and Emotion Traits in Crowds from Video Sequences

22 citations · 34 across the 13 of their papers we have counts for

collaborators

13 papers

cs.CV2026

Computer Vision for Wildlife Monitoring: Detecting Brown Howler Monkeys using YOLO

Gabriel Ferri Schneider, Guido Luis Glufke Mainardi, Paulo Ricardo Knob +4

Urban expansion threatens global biodiversity, especially affecting arboreal species due to the fragmentation of forest habitats. The movement of arboreal species across disjointed…

cs.GR2026

LLM-Driven Personalities for Decision Making in Emergency Simulations

Stefano Calzolari, Rubens Montanha, Gabriel Schneider +5

For virtual humans to appear believable, they must exhibit agency and spatial awareness while interacting with their environment in ways that reflect competence and intelligence. A…

cs.CV2026

True to Tone? Quantifying Skin Tone Fidelity and Bias in Photographic-to-Virtual Human Pipelines

Gabriel Ferri Schneider, Erick Menezes, Rafael Mecenas +3

Accurate reproduction of facial skin tone is essential for realism, identity preservation, and fairness in Virtual Human (VH) rendering. However, most accessible avatar creation pi…

cs.HC2025★ 1 cited

Are You Listening to Me? Fine-Tuning Chatbots for Empathetic Dialogue

Paulo Ricardo Knob, Leonardo Scholler, Juliano Rigatti +1

Conversational agents have made significant progress since ELIZA, expanding their role across various domains, including healthcare, education, and customer service. As these agent…

cs.GR2024★ 2 cited

Evaluating and Comparing Crowd Simulations: Perspectives from a Crowd Authoring Tool

Gabriel Fonseca Silva, Paulo Ricardo Knob, Rubens Halbig Montanha +1

Crowd simulation is a research area widely used in diverse fields, including gaming and security, assessing virtual agent movements through metrics like time to reach their goals,…

cs.HC2023

Study of Non-Verbal Behavior in Conversational Agents

Camila Vicari Maccari, Gustavo Galle de Melo, Paulo Ricardo Knob +1

This paper studies the non-verbal behavior of a conversational agent named Arthur. We propose the development of body movements for this agent, which interacts solely through voice…

cs.HC2023★ 2 cited

Crafting Realistic Virtual Humans: Unveiling Perspectives on Human Perception, Crowds, and Embodied Conversational Agents

Rubens Montanha, Victor Araujo, Paulo Knob +4

Virtual Humans (VHs) were first developed more than 50 years ago and have undergone significant advancements since then. In the past, creating and animating VHs was a complex task.…

cs.MA2022★ 2 cited

Moving Virtual Agents Forward in Space and Time

Gabriel F. Silva, Paulo Knob, Carlos G. Johansson +2

This article proposes an adaptation from the model of Bianco for fast-forwarding agents in crowd simulation, which enables us to accurately fast forward agents in time. Besides bei…

cs.HC2022★ 1 cited

WebCrowds: An Authoring Tool for Crowd Simulation

Gabriel Silva, Paulo Knob, Rubens Montanha +1

Crowd simulation is an area of research largely used in the game industry. From the movement of a single NPC to the movement of an entire army, crowd simulation methods can be used…

cs.HC2021

Is my agent good enough? Evaluating Embodied Conversational Agents with Long and Short-term interactions

Juliane B. S. dos Santos, Paulo Ricardo Knob, Victor Putrich Scherer +1

The use of digital resources has been increasing in every instance of todays society, being it in business or even ludic purposes. Despite such ever increasing use of technologies…

cs.HC2021★ 4 cited

Arthur: a new ECA that uses Memory to improve Communication

Paulo Knob, Willian S. Dias, Natanael Kuniechick +2

This article proposes an embodied conversational agent named Arthur. In addition to being able to talk to a person (using text and voice), he is also able to recognize the person h…

cs.CV2021★ 22 cited

Detecting Personality and Emotion Traits in Crowds from Video Sequences

Rodolfo Migon Favaretto, Paulo Knob, Soraia Raupp Musse +2

This paper presents a methodology to detect personality and basic emotion characteristics of crowds in video sequences. Firstly, individuals are detected and tracked, then groups a…

cs.GR2019

How much do you perceive this? An analysis on perceptions of geometric features, personalities and emotions in virtual humans (Extended Version)

Victor Araujo, Rodolfo Migon Favaretto, Paulo Knob +3

This work aims to evaluate people's perception regarding geometric features, personalities and emotions characteristics in virtual humans. For this, we use as a basis, a dataset co…