I am currently a first-year Ph.D. student at the Human-Computer Interaction Institute at Carnegie Mellon University, working with Dr. Jeff Bigham and Dr. Amy Pavel. I am also an Adobe Research Ph.D. Fellow. Previously, I completed my B.S. in Computer Science at National Taiwan University, where I worked with Dr. Mike Chen and Dr. Lung-Pan Cheng.

My research lies at the intersection of inclusive and immersive experiences, with a recent focus on building systems to facilitate accessible content consumption and creation. I also did work in the fields of computational interaction, virtual and augmented reality, haptics and perception.


profile shot taken when Yi Hao presented at CHI 2019.

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

Selected Research
A presenter view of a slide from a lecture where most text is in black but some of the text has been colored green to represent that it has been spoken by the presenter (as the speaker said 'activity: create a colorful circle brush'). There is an image with a squiggly circle brush on the slide highligted with green border to indicate that the image has also been mentioned.
Say it all: Feedback for Improving Non-Visual Presentation Accessibility


An authoring system that visualizes real-time and post-hoc accessibility feedback for speakers to deliver more accessible presentations.

Presented at ACM CHI 2021, Yokohama, Japan

A user hold the dumbbell up and down to control the virtual character movements in the game to avoid obstacles and get coins.
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.

Presented at ACM MobileHCI 2020, Oldenburg, Germany

The vibration motors attached on two sides of the VR headset provide haptic feedback that is syncrhonized with user's virtual steps.
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.

Presented at ACM CHI 2020, Hawaii, USA

The optimal, personalized accessibility settings recommended by PersonalTouch enable users to move arbitrarily for 1.5 seconds before triggering the button on the mobile application.
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.

Presented at ACM CHI 2019, Glasgow, England

A user worn the VR headset coupled with our tapping devices near both of user's vestibular systems. The haptic cues are released and synchronized with every move user takes in VR.
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 VR.

Presented at IEEE VR 2019, Osaka, Japan

The overview of the an AR reading interface: PeriText, which provides real-time text information using rapid serial visual presentation, with words ('You' and 'Come') sequentially displayed below users' center gaze, represented by the red crosshair.
PeriText: Utilizing Peripheral Vision for Reading Text on Augmented Reality Smart Glasses


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

Presented at IEEE VR 2019, Osaka, Japan

The live demo AR view that augments conversations between two people using bubble-like visualization anchored near the individual face. The bubble will rise once new utternaces are visualized.
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.

Presented at ACM CHI 2018, Montréal, Canada