Job Openings
PhD Thesis Positions
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PhD Thesis
Augmented Vision - Applying Multiple Vision Styles to Industrial Contexts
Human-Computer Interaction Augmented Reality Computer Vision Industrial Applications User Experience PhD Thesis
This PhD thesis explores how artificial vision styles can augment human perception in industrial contexts through Augmented Reality. The objective of this research is to design, implement, and evaluate interactive vision styles that enhance users' perception and decision-making during industrial tasks such as maintenance, inspection, and object identification. Particular attention will be paid to situations where operators' hands, ensuring that interaction remains efficient, intuitive and minimally intrusive.
How to apply: Send a CV, motivation letter, academic transcripts, and any relevant projects or publications to w.delamare@estia.fr and n.couture@estia.fr. Please also provide contact information for two references. Review of applications will begin immediately and continue until the position is filled. Shortlisted candidates will be invited for an interview.
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Internship Positions
Open Positions
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Internship
Mid-Air Selection Techniques in XR
Human-Computer Interaction Extended Reality Mid-Air Interaction Selection Techniques Internship
This internship focuses on exploring and developing mid-air selection techniques in Extended Reality (XR) environments. The project aims to implement and evaluate novel interaction techniques that allow users to select virtual objects or interface using mid-air pointing techniques - with and without AI assistance. The goal is to bring new insights into the design of mid-air selection techniques and to contribute to the advancement of interaction methods in XR.
Objectives
- (optional) Perform literature review on existing mid-air selection techniques in XR.
- Find relevant baselines to compare to and implement them.
- Conduct user studies to evaluate the effectiveness and user experience of the developed techniques.
- (optional) Perform statistical analysis of user study data.
- Write a comprehensive report documenting the research process, findings, and conclusions.
Requirements
- Strong motivation and will to learn.
- Strong interest in human-computer interaction and extended reality.
- Willing to learn how to implement mid-air selection techniques (e.g., using Unity).
- Basic knowledge of programming (e.g., C#, Unity).
- Willing to run user studies involving human participants.
How to apply: Send a CV and a motivation letter to w.delamare@estia.fr
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Internship
Augmented Reality Guiding System
Human-Computer Interaction Augmented Reality User Experience Guiding Systems Assembly Tasks Internship
This internship focuses on developing an augmented reality (AR) guiding system to assist users in performing assembly tasks (e.g., Ikea furniture). The project aims to create an AR application that provides step-by-step instructions and visual cues to guide users through the assembly process, improving efficiency and reducing errors. Multiple approaches will be explored - such as visual cues or audio instructions - to determine the most effective method for guiding users in AR environments.
Objectives
- (optional) Perform literature review on existing AR guiding systems and related technologies.
- Design and implement an AR guiding system prototype for assembly tasks.
- Iteratively refine the system based on preliminary testing (creativity required).
- Conduct user studies to evaluate the effectiveness and user experience of the developed system against baselines.
- (optional) Perform statistical analysis of user study data.
- Write a comprehensive report documenting the research process, findings, and conclusions.
Requirements
- Strong motivation and will to learn.
- Strong interest in human-computer interaction and augmented reality.
- Willing to learn how to implement AR applications (e.g., using Unity).
- Basic knowledge of programming (e.g., C#, Unity) is a plus.
- Willing to run user studies involving human participants.
How to apply: Send a CV and a motivation letter to w.delamare@estia.fr
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Internship
Multimodal Interaction: Combining Gaze and Hand Gestures
Human-Computer Interaction Gaze Interaction Gesture Interaction Multimodal Interaction Desktop Virtual Reality Augmented Reality Internship
This internship focuses on exploring the combination of gaze and hand gestures for 2D gestures (e.g., desktop), and to extend this to 3D gestures (e.g., VR/AR). The core idea is to leverage the correlation between gaze and hand movements to enhance the accuracy, speed, and user experience of gesture-based interactions. The project aims to develop novel interaction techniques that utilize both modalities effectively.
Objectives
- (optional) Perform literature review on existing multimodal interaction techniques combining gaze and hand gestures.
- Implement the synchronization between gaze tracking and hand gesture recognition systems.
- Find relevant baselines to compare to and implement them.
- Conduct user studies to evaluate the effectiveness and user experience of the developed techniques.
- (optional) Perform statistical analysis of user study data.
- Write a comprehensive report documenting the research process, findings, and conclusions.
- Extend the concepts to 3D gestures in VR/AR environments.
Requirements
- Strong motivation and will to learn.
- Strong interest in human-computer interaction and multimodal interfaces.
- Willing to learn how to implement gaze tracking and hand gesture recognition (algorithms).
- Basic knowledge of programming (e.g., Python, C#, Unity) is a plus.
- Willing to run user studies involving human participants.
How to apply: Send a CV and a motivation letter to w.delamare@estia.fr and d.gomez@estia.fr
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Internship
Modelisation of the Impact of the Walking Speed on Augmented Reality Selection Tasks
Human-Computer Interaction Augmented Reality User Studies Mathematical Modeling Walking Pointing Internship
This internship focuses on studying the impact of walking speed on selection tasks in Augmented Reality (AR) environments. The project aims to develop a predictive model that quantifies how different walking speeds affect user performance and accuracy during selection tasks in AR. This model could help HCI researchers to select appropriate parameters for their AR applications involving walking users during user studies.
Objectives
- (optional) Perform literature review on existing studies related to walking speed and AR interaction.
- Design and implement user studies to collect data on selection task performance at various walking speeds.
- (optional) Perform statistical analysis of user study data.
- Write a comprehensive report documenting the research process, findings, and conclusions.
Requirements
- Strong motivation and will to learn.
- Strong interest in human-computer interaction, augmented reality, and mathematical modeling.
- Willing to learn how to design and conduct user studies.
- Basic knowledge of programming (e.g., Python, C#, Unity) is a plus.
- Willing to run user studies involving human participants.
How to apply: Send a CV and a motivation letter to w.delamare@estia.fr
Closed Positions
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Internship
'Touching The Void' in VR
Human-Computer Interaction Virtual Reality Interaction Techniques User Experience Mid-Air Interaction Internship
'Touching The Void' refers to the challenge of enabling users to perceive and interact with virtual objects in VR without physical feedback. This internship focuses on exploring innovative interaction techniques in virtual reality (VR) environments. The project aims to develop and evaluate novel methods for enhancing user immersion and interaction within VR settings. But instead of trying to solve the 'Touching The Void', we will explore how to leverage this limitation to create engaging and novel interaction techniques.
Objectives
- (optional) Perform literature review on existing interaction techniques in VR and related fields.
- Explore and develop innovative interaction techniques that leverage the lack of physical feedback in VR.
- Design and implement prototypes to test these techniques in VR environments.
- Conduct user studies to evaluate the effectiveness and user experience of the developed techniques.
- (optional) Perform statistical analysis of user study data.
- Write a comprehensive report documenting the research process, findings, and conclusions.
Requirements
- Strong motivation and will to learn.
- Strong interest in virtual reality and human-computer interaction.
- Willing to learn how to implement interaction techniques in VR.
- Basic knowledge of VR development (e.g., Unity, Unreal Engine) is a plus.
- Willing to run user studies involving human participants.
How to apply: Send a CV and a motivation letter to w.delamare@estia.fr and m.daniel@estia.fr
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Internship
Smooth Gaze Continuous Control
Human-Computer Interaction Gaze Interaction Continuous Control User Experience Accessibility Desktop Internship
This internship focuses on improving the smoothness and stability of gaze-based continuous control in human-computer interaction. Gaze-based continuous control could for instance allow paralyzed users to control a cursor to draw, paint, or even sculpt 3D objects using only their eyes. The project aims to develop novel techniques to allow such smooth continuous control using gaze input only.
Objectives
- (optional) Perform literature review on existing gaze-based continuous control techniques.
- Develop and implement the technique as a prototype system.
- Iteratively refine the technique based on preliminary testing (creativity required).
- Conduct user studies to evaluate the effectiveness and user experience of the developed technique against baselines.
- (optional) Perform statistical analysis of user study data.
- Write a comprehensive report documenting the research process, findings, and conclusions.
Requirements
- Strong motivation and will to learn.
- Strong interest in human-computer interaction and gaze interaction.
- Willing to learn how to implement gaze tracking and continuous control algorithms.
- Basic knowledge of programming (e.g., Python, C#, Unity) is a plus.
- Willing to run user studies involving human participants.
How to apply: Send a CV and a motivation letter to w.delamare@estia.fr
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Internship
Augmenting Existing Objects with Smart Interfaces
Human-Computer Interaction Internet of Things Smart Interfaces 3D Modeling Microcontrollers Tool Augmented Objects Internship
The Internet of Things (IoT) is a rapidly growing field that aims to connect everyday objects to the internet, enabling them to communicate and interact with each other. However, many existing objects are not designed with this capability in mind. This project aims to bridge the gap between traditional objects and the IoT by creating a system that can augment existing objects with smart interfaces. The core idea of this project is to create a system that can augment existing objects by adding sensors and actuators to their physical interface. To this end, we propose to facilitate this process with a set of open-source hardware and software tools.
Objectives
- Implement an image processing pipeline to detect objects and their physical interfaces from images.
- Automatically generate 3D models of a layer adapted to the detected physical interfaces, ready to be 3D printed.
- Automatically generate diagrams and schematics of the sensors and actuators that can be attached to the objects.
- Develop an API for a microcontroller (e.g., Arduino, ESP32) that can control the sensors and actuators.
- (optional) Implement a feature detection algorithm to map the physical interface to the sensors and actuators.
- Build a working prototype of the augmented object, demonstrating the functionality of the sensors and actuators.
- Document the entire process, including the neural network training, 3D modeling, and hardware building, ready to be shared with the community.
Requirements
- Strong motivation and will to learn (both hardware and software aspects).
- Strong interest in human-computer interaction and Internet of Things (IoT).
- Basic knowledge of programming (e.g., Python, C/C++) is a plus.
- Basic knowledge of 3D modeling and 3D printing is a plus.
- Basic knowledge of microcontrollers (e.g., Arduino, ESP32) is a plus.
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Internship
Gaze-based Interaction System using Deep Learning
Human-Computer Interaction Gaze Interaction Deep Learning Midas Accessibility Desktop Internship
The most common use of eye tracking technology is to provide a more natural way of interacting with computers: users can control the cursor with their eyes, click on buttons, or scroll through a webpage. However, since the eyes are used to both get information (e.g., a user scanning available interactive objects) and transmit information (e.g., a user looking at a specific object to select it), the interaction can be challenging. This is the Midas Touch effect: the system cannot distinguish between the user's intention to get information and the user's intention to transmit information. In this project, we aim to explore a new approach based on deep learning to create a gaze-based interaction system that can better understand the user's intentions.
Objectives
- Develop a software to capture gaze and mouse data in the background.
- Develop a deep learning model to predict the user's intention based on the gaze and mouse data.
- Evaluate the performance of the deep learning model on various dataset, and potentially directly in a user study.
- (optional) Generalize the approach to various contexts and applications (e.g., Virtual Reality, Augmented Reality, or mobile devices).
- Write a comprehensive report documenting the research process, findings, and conclusions.
Requirements
- Strong motivation and will to learn.
- Strong interest in human-computer interaction and gaze interaction.
- Willing to learn how to implement deep learning algorithms.
- Basic knowledge of programming (e.g., Python) is a plus.
- Basic knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch) is a plus.