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Giordano Cabral

CIN0055 · Undergraduate, CIn/UFPE · 2026.1 – 2026.2

Tendências em Mídia e Interação (CIN0055)

Students survey tens of thousands of tools with AI assistance and choose an emerging topic. They build their own tool for imagining the future — a skill — and compare the map it produces with the professor's map in class. In the third stage, they build an experiment for the class to test.

An empty classroom at the end of the day: rows of chairs, a blank board, a louvered window; one red chair turned to face the others.

01 · Teaching

The course

Tendências em Mídia e Interação (Trends in Media and Interaction, CIN0055) is a 60-hour undergraduate course in CIn/UFPE's new curriculum, taught by Giordano Cabral since 2026.1, with Jefferson Marcelo da Paixão Santos as teaching assistant. It succeeds Introdução à Multimídia (Introduction to Multimedia), which he taught for 21 editions, and keeps the same structure: students identify the trends and the professor provides the framework to analyze them. The field spans multimedia, XR, computer graphics, audio, games, animation, and interaction; rather than covering it in full, each student picks a topic and goes deep into it.

02 · Teaching

Semesters

Two editions: 2026.1, from March to July, with around 41 students; and 2026.2, currently underway, with 14 students, remote by default. Each edition has its own website, with submissions, galleries, and future maps made available to the class on presentation day; the current edition is at www.cin.ufpe.br/~grec/tmi/26-2/.

03 · Teaching

What students do

In 2026.2, three assignments weighted 2, 4, and 4: sweeping tens of thousands of tools with an AI and narrowing down to one, inside the Hiper Deep Research system, which logs the time spent on each item; building your own futurization skill and producing a future map of your topic, confronted in class with a map made beforehand by the professor, blind, from the same briefing; and an executable experiment, accessible to people outside the class, tested in class for 25 minutes by classmates. A criterion common to all three: the technology must not be mature. What is assessed is the process, and the pedagogical contract is written for the students' AIs, in an llms.txt file that states what they must and must not do. In 2026.1, the design was still an adapted version of Introdução à Multimídia: seminars by area, one individual experiment per student, and one group project.

04 · Teaching

Materials and records

  • https://farol-jogo.vercel.app/
Course plan published on the website
Course plan published on the website
Hiper Deep Research system
Hiper Deep Research system
Assignment brief
Assignment brief
Examples of each requested component
Examples of each requested component
The 19 topics and their future maps
The 19 topics and their future maps
Topic page open to the class
Topic page open to the class
Movement 3 page
Movement 3 page
Movement 3 assignment brief published
Movement 3 assignment brief published

Student work8 submissions · 2026.1

FitFlow

Tendências em Mídia e Interação 2026.1

A platform that uses AI to generate personalized workout plans based on biometric data, goals, and constraints, with a RAG layer drawing on scientific literature and safeguards against harmful exercise prescriptions.

Jogo Narrativo com IA

Tendências em Mídia e Interação 2026.1

A browser-based text RPG in which AI acts as the game master: the player defines the protagonist and literary genre, and the system generates scenes, branching paths, images, and ambient sound in real time (Next.js, Vercel AI SDK).

Kineo-AI
Tendências em Mídia e Interação 2026.1

Kineo-AI

Murilo Ventura, Natan Frederico, Vinícius Rodrigues

A smart rehabilitation mirror: the webcam tracks the patient's posture in real time (MediaPipe Pose, running on the device itself), calculates joint angles, and corrects home physical therapy exercises with visual and voice feedback.

LLMs as autonomous agents in games (Meownarch)
Tendências em Mídia e Interação 2026.1

LLMs as autonomous agents in games (Meownarch)

A survival game built as a test environment for LLM-controlled agents, each with a personality (cooperative, selfish, aggressive, strategic), to observe when an agent acts selfishly or altruistically depending on the prompt and environment.

Micro Expressions Utility

Tendências em Mídia e Interação 2026.1

João Henrique Portela, Matheus Borges, Rodrigo Rossister, Eduardo Vinnícius

A local tool for analyzing recorded sales meetings: it extracts audio, transcribes speech, detects nonverbal cues and facial microexpressions, and generates a report on the observed behavior.

github.com
Mock Interview AI
Tendências em Mídia e Interação 2026.1

Mock Interview AI

Anne Pereira Collier de Mendonça, Antonio Henrique Souza Lima, João Luís Gomes Agra, João Victor Ribeiro Costa de Omena, Maria Clara Albuquerque Moura, Renato Moreira Serrano de Andrade

A technical and behavioral interview simulator: audio responses are transcribed with Whisper and assessed by a language model using the STAR framework, alongside programming problems organized by difficulty.

Smart DJ
Tendências em Mídia e Interação 2026.1

Smart DJ

AI-guided music curation: based on a written brief, it plans a musical journey with a progression in energy, finds tracks on Spotify, and plays them one by one in an embedded player.

github.com

SoundScape AI

Tendências em Mídia e Interação 2026.1

The city narrated by AI in real time: audio as the primary medium for describing the urban environment to anyone, with accessibility as the starting point.

05 · Teaching

Course offerings

2026.2 — in progress: nineteen topics, one map per student, one experiment per student

A class of 14 students, remote by default.

Course hub
Course hub
Page listing the 19 topics
Page listing the 19 topics
Topic selection and cross-testing page
Topic selection and cross-testing page
Public inspiration gallery
Public inspiration gallery
Public development tools gallery
Public development tools gallery
Course materials
Course materials
Topic 4 made available to the class on September 17
Topic 4 made available to the class on September 17
Overview board of the professor's map for topic 4
Overview board of the professor's map for topic 4
Central wheel for topic 4
Central wheel for topic 4
Overview board for topic 8, generative narrative and coauthorship
Overview board for topic 8, generative narrative and coauthorship

Public links (mirror on the CIn server, published on September 17, 2026):

  • hub: https://www.cin.ufpe.br/~grec/tmi/26-2/
  • the 19 topics: https://www.cin.ufpe.br/~grec/tmi/26-2/temas/
  • galleries (inspiration and development): https://www.cin.ufpe.br/~grec/tmi/26-2/galeria/
  • Hiper Deep Research: https://www.cin.ufpe.br/~grec/tmi/26-2/hdr/
  • examples: https://www.cin.ufpe.br/~grec/tmi/26-2/exemplos/
  • activity 01 instructions: https://www.cin.ufpe.br/~grec/tmi/26-2/atividade/
  • materials (course plan, activity 03, document format, movement 3): https://www.cin.ufpe.br/~grec/tmi/26-2/materiais/
  • movement 3: https://www.cin.ufpe.br/~grec/tmi/26-2/experimento/
  • futures (maps by topic, made available on each presentation date): https://www.cin.ufpe.br/~grec/tmi/26-2/futuros/
  • original site on Vercel: https://tendencias-midia-interacao.vercel.app/

2026.1 — seminars by field and one experiment per student

First edition, from March to July 2026, with around 41 students — the count comes from the random allocation of individual presentations: 14, 14, and 13 per day.

Infographic for the Futures Wheel exercise on geolocation (page 1)
Infographic for the Futures Wheel exercise on geolocation (page 1)
Infographic (page 2)
Infographic (page 2)

Individual experiments (April–May):

  • PlAIne — AI-generated travel itineraries presented as narratives, grouped by geographic proximity and climate. Author: Anne Collier. PlAIne
  • EchoFeed AI — a simulator of personalized feeds and algorithmic bubbles: the same topic framed for two profiles. EchoFeed AI
  • Flash Mind — generates structured flashcards from medical PDFs. Flash Mind
  • O Olhar Normativo XR — a live demonstration of algorithmic bias in computer vision and augmented reality. O Olhar Normativo XR
  • HobbyHub — cross-recommendations among books, films, and music by "vibe" (Lovable, Gemini, Spotify, Google Books, and TMDB APIs). HobbyHub
  • Dungeon Forge — a dungeon generator with a tactical map for tabletop RPGs (Gemini, Canvas API). Dungeon Forge
  • Gerador Dinâmico de Conteúdo — the prompt defines the behavior of an animated scene in real time, rather than generating media. Gerador Dinâmico de Conteúdo
  • PGPresença Geo — automated spatial verification and privacy in academic administration. PGPresença Geo
  • Você já foi reprovado por um robô sem saber? — generative AI and computer vision for image interpretation. Slide do experimento
  • Also submitted: Mechanistic Interpretability (IOI, activation patching), Lore Forge, a maze, and a public tender analyzer. Final projects (June–July):
  • Mock Interview AI — technical and behavioral interview simulator with transcription (Whisper) and assessment by GPT-4o, built with Next.js on Vercel. Team: Anne Pereira Collier de Mendonça, Antonio Henrique Souza Lima, João Luis Gomes Agra, João Victor Ribeiro Costa de Omena, Maria Clara Albuquerque Moura, Renato Moreira Serrano de Andrade. Mock Interview AI
  • Smart DJ — from a camera-based idea to AI music curation: users describe the occasion and the app creates a journey with arrival, warm-up, peak and closing stages, playing music through Spotify. Link: https://github.com/virolivs/smart_dj. Smart DJ
  • SoundScape AI — the city narrated by AI in real time: combines weather, traffic, events and points of interest into spoken narration, designed with accessibility in mind. SoundScape AI
  • LLMs as Autonomous Agents in Games — a survival game with a procedurally generated world for observing selfish or altruistic behavior in LLM-controlled agents. LLMs como Agentes Autônomos em Jogos
  • Meownarch — a game in which a cat monarch commands LLM-controlled dinosaurs with distinct personalities.
  • FitFlow — personalized workout generation using RAG over a scientific knowledge base, with safety guardrails.
  • AI Narrative Game — a text RPG in which AI acts as the game master, generating scenes, choices, images and atmosphere (Next.js, Vercel AI SDK).
  • Microexpression analysis in sales meetings — a video pipeline using MediaPipe and Whisper. Team: João Henrique Portela, Matheus Borges, Rodrigo Rossiter, Eduardo Vinnícius.
  • Kineo-AI, Civilization (the Games & Engines group's GDD, in Notion), DJ Interativo and a game in Unreal Engine.

Frequently asked questions

What is Tendências em Mídia e Interação (CIN0055)?

Students survey tens of thousands of tools with AI assistance and choose an emerging topic. They build their own tool for imagining the future — a skill — and compare the map it produces with the professor's map in class. In the third stage, they build an experiment for the class to test.

When was Tendências em Mídia e Interação offered?

2 cohorts, from 2026.1 to 2026.2.

Where can I find the materials for Tendências em Mídia e Interação?

In 2026.2 edition (course website, at CIn), Repository.