Winter 2024 Undergraduate Research Internship [Apply Now]
HCI Tech Lab, Graduate School of Culture Technology, KAIST, Winter 2024
As an interdisciplinary research group,
we build physical/digital interactive system empowered by novel sensing/haptic technologies.
In HCI Tech Lab, we aim to explore novel interactive technologies that directly benefits real-world users. Our research process generally includes:
Find gaps between interface/device and human
Bridge the gap with novel technical/social solution
Evaluate the solution with research methods
Deploy the solution with practical applications
You’ll be participating in ongoing research projects supervised by a graduate student mentor. Please refer to this document for project scope, required skills, and benefits. Below are titles for winter projects:
[Project #1] Creative authoring toolkit for tailorable dance lesson plan generation #Creativity Supporting tool #Authoring Toolkit #UI/UX
[Project #2] Interface for thermal haptic feedback in VR #Haptic Interaction #Thermal #Haptic Illusion
[Project #3] Exploring Haptic Design through Generative AI #Generative AI #Haptics
[Project #4] Wearable haptic device for finger-level force feedback for VR applications #Force Feedback #Haptics #VR
We are looking for students who are eager to learn and build physical & digital interactive systems. (Looking for students from diverse backgrounds & majors)
We are looking for students who are ready to get their hands dirty for prototyping.
We are looking for students to have prototyping experience or intro-level HCI knowledge. (Optional, but strongly recommended)
Only accept students who can participate full-time (40 hours per week) while physically present in the lab.
Flexible start/end dates + working hours.
Interns will be paid & personal office space will be provided in the N5 building
URP is a great option for undergraduate students at KAIST
Prefers students who are willing to extend the internship. At the end of the internship, we will discuss extending the internship. The decision will depend on various factors (Internship progress, fit to the lab, commitment, etc).