I am a Ph.D. student at Human-Computer Interaction Institute (HCII) at Carnegie Mellon University (CMU), advised by Prof. Jeffrey Bigham. My current research focuses on designing and building accessible and assistive interactive tools to help users make sense of media.

Before joining CMU, I was a member of HCI Lab at National Taiwan University (NTU), advised by Prof. Mike Y. Chen and Prof. Lung-Pan Cheng. As an undergraduate research assistant, I explored and developed several different enabling and inclusive systems across mixed-reality, mobile and wearable interfaces (see publication page for details).

profile shot taken when Yi Hao presented at CHI 2019.

| Email: yihaop [at] cs.cmu.edu | Curriculum Vitæ | Linkedin |

Selected Research

StrengthGaming: Enabling Dynamic Repetition Tempo in Strength Training-based Exergame Design

A novel approach to provide tempo variation to strength training in order to enable the design of more entertaining strength training-based exergames.

Full paper accepted to ACM MobileHCI 2020, Oldenburg, Germany

WalkingVibe: Reducing Virtual Reality Sickness and Improving Realism while Walking in VR using Unobtrusive Head-mounted Vibrotactile Feedback

An unobtrusive head-mounted vibro-tactile stimulation to reduce VR sickness and improve realism for VR navigation.

Full paper presented at ACM CHI 2020, Hawaii, USA

PersonalTouch: Improving Touchscreen Usability by Personalizing Accessibility Settings based on Individual User’s Touchscreen Interaction

A recommendation pipeline which suggests personalized, optimal touchscreen accessibility settings based on individual touchscreen behavior.

Full paper presented at ACM CHI 2019, Glasgow, England

PhantomLegs: Reducing Virtual Reality Sickness using Head-Worn Haptic Devices

A head-mounted haptic device which applies alternating haptic cues synchronized to users’ footsteps in virtual reality.

Full paper presented at IEEE VR 2019, Osaka, Japan

PeriText: Utilizing Peripheral Vision for Reading Text on Augmented Reality Smart Glasses

A multiword rapid-serial-visual-presentation (RSVP) AR interface which allows users to read virtual context with periphery meanwhile observe physical environment via central vision.

Full paper presented at IEEE VR 2019, Osaka, Japan

SpeechBubbles: Enhancing Captioning Experiences for Deaf and Hard-of-Hearing People in Group Conversations

A real-time speech recognition AR interface aiming to provide desirable caption visualization for deaf and hard of hearing (DHH) users during group conversations with hearing people.

Full paper presented at ACM CHI 2018, Montréal, Canada

GestureTag: Combining Gaze with Touch Gestures to Acquire Targets for People with Motor Impairments

A novel selection technique which aids motor impaired users to select targets on desktops by combining gaze pointing and simple touch swipe gestures for tagging and triggering.

Collaboroated project with CSE student Tony Tung and Prof. Jacob Wobbrock from University of Washington