activity
20192022
most citedUsing Big Five Personality Model to Detect Cultural Aspects in Crowds

25 citations · 48 across the 9 of their papers we have counts for

collaborators

13 papers

cs.MA20222 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.MA20225 cited

LODUS: A Multi-Level Framework for Simulating Environment and Population -- A Contagion Experiment on a Pandemic World

Gabriel Fonseca Silva, Vinícius Cassol, Amyr Borges Fortes Neto +4

Nowadays we are experiencing a way of life that never existed before. The pandemic has sharply changed our habits, customs, and behavior. In addition, a lot of work was suddenly re…

cs.HC20221 cited

Perception of Personality Traits in Crowds of Virtual Humans

Lucas Nardino, Enzo Krzmienszki, Vinícius Jurinic Cassol +6

This paper proposes a perceptual visual analysis regarding the personality of virtual humans. Many studies have presented findings regarding the way human beings perceive virtual h…

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

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

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…