School of Electronic Engineering and Computer Science

Miss Feng Feng

Feng

Email: f.feng@qmul.ac.uk
Room Number: Peter Landin, CS 321

Teaching

Interaction Design (Undergraduate)

Traditionally, interactive systems design has focused on enhancing people's efficiency or productivity. For example, to increase the speed with which tasks can be completed or to minimise the number of errors people make. Economic and social changes have led to a situation in which the primary use of many technologies is for fun; ie. in which there is no quantifiable output and no clear goal other than enjoyment. Computer games, mobile music players and online communities are all examples where the quality of the experience is the primary aim of the interaction. This module explores the challenges these new technologies, and the industries they have created, present for the design and evaluation of interactive systems. It moves away from a human computer interaction model, which is too constrained for real world problems and provides you with an opportunity to engage with theories relating to cultural dynamics, social activity, and live performance. It explores the nature of engagement with interactive systems and between people when mediated by interactive systems.

Research

Research Interests:

Research Interest: Human-computer interaction; Multimodal perception, embodied cognition, and computational modelling; Tangible interfaces; Motor training and assistive technology; Information visualisation

Research Topic: Examine the effect of crossmodal perception and implicit memory on gestural input behaviour

Brief description: I have a particular interest in multisensory experience in both the physical world and digital environment. This interest motivated my research engagement on leveraging the everyday perceptual experience for the design of assistive technology, as well as natural and effective user interfaces.
During the research, I have explored and developed different types of crossmodal interface prototype, which supports fine and gross gestural inputs that were performed at different time scales. I used the research method of experimental user study and evaluation to draw correlation between crossmodal perception, memory and gestural motion features during interaction tasks. Outcomes of my research can inform the design of assistive gadgets for visually impaired people to locate and fetch objects, and of multimodal wearable devices for upper extremity motor skill training.