Escape the Lab
Escape the Lab
Escape the Lab
Escape the Lab
01 INTRODUCTION
Project Collaboration
Project Collaboration
AHO x Gamle Munch
AHO x Gamle Munch
Project Type
Project Type
Interaction-Driven Escape Room Experience Design
Interaction-Driven Escape Room Experience Design
Project Time
Project Time
Nov. - Dec.2023
Nov. - Dec.2023
Interaction-Driven Escape Room Experience Design
Interaction-Driven Escape Room Experience Design
Interaction-Driven Escape Room Experience
Redefine the concept of the "Escape Room" using the principles of interaction design. This escape experience doesn't need to be confined to a room.
Imagine a scenario where puzzles, engagement, and intrigue are centered around a central structure. Craft a story and create an environment that captivates your audience from start to finish.
Interaction-Driven Escape Room Experience
Redefine the concept of the "Escape Room" using the principles of interaction design. This escape experience doesn't need to be confined to a room.
Imagine a scenario where puzzles, engagement, and intrigue are centered around a central structure. Craft a story and create an environment that captivates your audience from start to finish.
01 INTRODUCTION
Project Collaboration
AHO x Gamle Munch
Project Type
Interaction-Driven Escape Room Experience Design
Project Time
Nov. - Dec.2023
Interaction-Driven Escape Room Experience Design
Interaction-Driven Escape Room Experience
Redefine the concept of the "Escape Room" using the principles of interaction design. This escape experience doesn't need to be confined to a room.
Imagine a scenario where puzzles, engagement, and intrigue are centered around a central structure. Craft a story and create an environment that captivates your audience from start to finish.
02 ShowCase
Puzzles
Engagement
Intrigue
03 Story Line
NeuroTech Inc. seeks the erpertise of a skilled. We were pretty close to a breakthrough, but one of ourerperiments. Meema to hawe gotten a bit out of control. Probably nothing serious. Anyway, we really need some acientists with nerwes of steel who can perform under pressure.
AI Captivity
Dangerous Experiments
Emergency Rescue
KEY CLUE 1
Experiment Data Chip
- Laboratory PIN ID Card
The identity card of the laboratory scientist can only be unlocked by placing it in the correct place and entering the password of the correct personnel number.
KEY CLUE 2
Unlock Code - The Key for Survive
The key was divided into three parts and scattered in the mad scientist's laboratory. Only by collecting all the key fragments and merging them in the AI synthesizer can the door to the outside world be truly opened.
KEY CLUE 3
Missing Scientist Recording
The key was divided into three parts and scattered in the mad scientist's laboratory. Only by collecting all the key fragments and merging them in the AI synthesizer can the door to the outside world be truly opened.
04 Tech
Puzzle Design
10 puzzles | 720 combinations
Based on puzzle types such as logical reasoning, graphics and spatial awareness, sequential unlocking, narrative-driven, behavioural interaction, and mathematics, I designed 10 puzzles, including reasoning, pattern matching, code-breaking, storyline-based puzzles, arithmetic challenges, and equation solving. The code ensures that each group of players encounters a completely different puzzle permutations of three new combinations compared to the previous group, guaranteeing variations in the final puzzle's password.
Interaction Strategy
Multimodal Pose Sensing | Somatic Interaction System
The system diagram outlines a technological setup for real-time pose recognition and interaction. It utilizes a webcam to detect motion, quantity, and distance, feeding data into PC 1 where PoseNet Model and CreateCapture(VIDEO) are used for real-time gesture recognition. The data influences a projection system displaying a puzzle, dynamically adjusting based on detected inputs. A separate decoder system involving PC 2 uses object-oriented programming with functions like CreateEyes(), Perlin Noise/Noise()/Smooth() to manage interactive elements. Control inputs are facilitated by a joystick, interfaced with Micro.
P5.js /PoseNet
physical control
Python and servo mechanisms, allowing user inputs to influence the projected environment. This setup combines AI-based gesture recognition with physical control devices for an immersive, interactive experience.
05 live gameplay
02 ShowCase
Puzzles
Engagement
Intrigue
03 Story Line
AI Captivity
Dangerous Experiments
Emergency Rescue
KEY CLUE 1
Experiment Data Chip
- Laboratory PIN ID Card
The identity card of the laboratory scientist can only be unlocked by placing it in the correct place and entering the password of the correct personnel number.
KEY CLUE 2
Unlock Code - The Key for Survive
The key was divided into three parts and scattered in the mad scientist's laboratory. Only by collecting all the key fragments and merging them in the AI synthesizer can the door to the outside world be truly opened.
KEY CLUE 3
Missing Scientist Recording
Here's a surveillance-recorded video of a missing neuroscientist who may be about to tell you some little-known lab truths.
04 Tech
Puzzle Design
10 puzzles | 720 combinations
Based on puzzle types such as logical reasoning, graphics and spatial awareness, sequential unlocking, narrative-driven, behavioural interaction, and mathematics, I designed 10 puzzles, including reasoning, pattern matching, code-breaking, storyline-based puzzles, arithmetic challenges, and equation solving. The code ensures that each group of players encounters a completely different puzzle permutations of three new combinations compared to the previous group, guaranteeing variations in the final puzzle's password.
Interaction Strategy
Multimodal Pose Sensing | Somatic Interaction System
The system diagram outlines a technological setup for real-time pose recognition and interaction. It utilizes a webcam to detect motion, quantity, and distance, feeding data into PC 1 where PoseNet Model and CreateCapture(VIDEO) are used for real-time gesture recognition. The data influences a projection system displaying a puzzle, dynamically adjusting based on detected inputs. A separate decoder system involving PC 2 uses object-oriented programming with functions like CreateEyes(), Perlin Noise/Noise()/Smooth() to manage interactive elements. Control inputs are facilitated by a joystick, interfaced with Micro.
P5.js /PoseNet
physical control
Python and servo mechanisms, allowing user inputs to influence the projected environment. This setup combines AI-based gesture recognition with physical control devices for an immersive, interactive experience.
05 live gameplay