Browsing by Author "Gong, Jun"

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Aarnio: Passive Kinesthetic Force Output for Foreground Interactions on an Interactive Chair
(2019-01-01)
Teng, Shan-Yuan
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Huang, Da-Yuan
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Wang, Chi
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Gong, Jun
;
Seyed, Teddy
We propose a new type of haptic output for foreground interactions on an interactive chair, where input is carried out explicitly in the foreground of the user's consciousness. This type of force output restricts a user's motion by modulating the resistive force when rotating a seat, tilting the backrest, or rolling the chair. These interactions are useful for many applications in a ubiquitous computing environment, ranging from immersive VR games to rapid and private query of information for people who are occupied with other tasks (e.g. in a meeting). We carefully designed and implemented our proposed haptic force output on a standard office chair and determined the recognizability of five force profiles for rotating, tilting, and rolling the chair. We present the result of our studies, as well as a set of novel interaction techniques enabled by this new force output for chairs.
AutoFritz: Autocomplete for Prototyping Virtual Breadboard Circuits
(2019-01-01)
Lo, Jo-Yu
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Huang, Da-Yuan
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Kuo, Tzu-Sheng
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Sun, Chen-Kuo
;
Gong, Jun
We propose autocomplete for the design and development of virtual breadboard circuits using software prototyping tools. With our system, a user inserts a component into the virtual breadboard, and it automatically provides a user with a list of suggested components. These suggestions complete or extend the electronic functionality of the inserted component to save the user's time and reduce circuit error. To demonstrate the effectiveness of autocomplete, we implemented our system on Fritzing, a popular open source breadboard circuit prototyping software, used by novice makers. Our autocomplete suggestions were implemented based upon schematics from datasheets for standard components, as well as how components are used together from over 4000 circuit projects from the Fritzing community. We report the results of a controlled study with 16 participants, evaluating the effectiveness of autocomplete in the creation of virtual breadboard circuits, and conclude by sharing insights and directions for future research.
Orecchio: Extending Body-Language through Actuated Static and Dynamic Auricular Postures
(2018-01-01)
Huang, Da-Yuan
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Seyed, Teddy
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Li, Linjun
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Gong, Jun
;
Yao, Zhihao
In this paper, we propose using the auricle - the visible part of the ear - as a means of expressive output to extend body language to convey emotional states. With an initial exploratory study, we provide an initial set of dynamic and static auricular postures. Using these results, we examined the relationship between emotions and auricular postures, noting that dynamic postures involving stretching the top helix in fast (e.g., 2Hz) and slow speeds (1Hz) conveyed intense and mild pleasantness while static postures involving bending the side or top helix towards the center of the ear were associated with intense and mild unpleasantness. Based on the results, we developed a prototype (called Orrechio) with miniature motors, custom-made robotic arms and other electronic components. A preliminary user evaluation showed that participants feel more comfortable using expressive auricular postures with people they are familiar with, and that it is a welcome addition to the vocabulary of human body language.