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20172022
most citedCrowdsourcing the Perception of Machine Teaching

30 citations · 48 across the 5 of their papers we have counts for

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5 papers · 1 filter

cs.HC2022

Exploring Immersive Interpersonal Communication via AR

Kyungjun Lee, Hong Li, Muhammad Rizky Wellyanto +5

A central challenge of social computing research is to enable people to communicate expressively with each other remotely. Augmented reality has great promise for expressive commun…

cs.HC20227 cited

From the Lab to People's Home: Lessons from Accessing Blind Participants' Interactions via Smart Glasses in Remote Studies

Kyungjun Lee, Jonggi Hong, Ebrima Jarjue +2

Researchers have adopted remote methods, such as online surveys and video conferencing, to overcome challenges in conducting in-person usability testing, such as participation, use…

cs.HC20216 cited

Accessing Passersby Proxemic Signals through a Head-Worn Camera: Opportunities and Limitations for the Blind

Kyungjun Lee, Daisuke Sato, Saki Asakawa +2

The spatial behavior of passersby can be critical to blind individuals to initiate interactions, preserve personal space, or practice social distancing during a pandemic. Among oth…

cs.HC2020

Pedestrian Detection with Wearable Cameras for the Blind: A Two-way Perspective

Kyungjun Lee, Daisuke Sato, Saki Asakawa +2

Blind people have limited access to information about their surroundings, which is important for ensuring one's safety, managing social interactions, and identifying approaching pe…

cs.HC202030 cited

Crowdsourcing the Perception of Machine Teaching

Jonggi Hong, Kyungjun Lee, June Xu +1

Teachable interfaces can empower end-users to attune machine learning systems to their idiosyncratic characteristics and environment by explicitly providing pertinent training exam…