In this project, we will recruit 20 participants to research the adaptability of the training procedure for a new user who’s never been exposed to IndexPen using the transfer learning accuracy after each time the user comes after the new data are available and how quickly the new user can learn this new interaction technique measured by the Levenstein distance from output sentences carried out with our real-time input system. Furthermore, we collect the response from the designed semi-structured after each session to evaluate the intuitiveness of IndexPen.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Wei, Haowen

Subject

• Well-Being
• Industry
• Learning
• Innovation
• Project-Based Learning
• Computing

Publisher

• Worcester Polytechnic Institute

Identifier

• 42946
• E-project-121321-153729

Keyword

• Deep Learning
• Mobile Computing and Human Computer Interaction
• Embedded System
• Real-time Signal Processing
• Transfer Learning
• Radio Frequency(RF) signal

Advisor

• Pahlavan, Kaveh
• Solovey, Erin

Year

• 2021

Sponsor

• Erin Solovey
• Kaveh Pahlavan

UN Sustainable Development Goals

• 9 - Industry, Innovation and Infrastructure

Date created

• 2021-12-13

Resource type

• Interactive Qualifying Project

Rights statement

• In Copyright

Last modified

• 2022-04-01