Hiroki Nozaki | Keio University (original) (raw)

Papers by Hiroki Nozaki

Proceedings of the extended abstracts of the 32nd annual ACM conference on Human factors in computing systems - CHI EA '14, 2014

ABSTRACT

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Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication - UbiComp '13 Adjunct, 2013

ABSTRACT The paper proposes EverCopter, which provides continuous and adaptive over-the-air sensi... more ABSTRACT The paper proposes EverCopter, which provides continuous and adaptive over-the-air sensing with detachable wired flying objects. While a major advantage of sensing systems with battery-operated MAVs is a wide sensing coverage, sensing time is limited due to its limited amount of energy. We propose dynamically rechargeable flying objects, called EverCopter. EverCopter achieves both long sensing time and wide sensing coverage by the following two characteristics. First, multiple EverCopters can be tied in a row by power supply cables. Since the root EverCopter in a row is connected to DC power supply on the ground, each EverCopter can fly without battery. This makes their sensing time forever, unless the power supply on the ground fails. Second, the leaf EverCopter can detach itself from the row in order to enjoy wider sensing coverage. An EverCopter, while it is detached, runs with its own battery-supplied energy. When the remaining energy becomes low, it flies back to the row to recharge the battery.

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Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing - UbiComp '14 Adjunct, 2014

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Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication - UbiComp '13 Adjunct, 2013

ABSTRACT This paper proposes FRAGWRAP which maps scent to real objects in real-time. To achieve t... more ABSTRACT This paper proposes FRAGWRAP which maps scent to real objects in real-time. To achieve this purpose, we leverage fragrance-encapsulated soap bubble with projection mapping technique. Since human olfaction is known as combined utilization of his/her eyes and nose, we encapsulate fragrance into bubble soap to stimulate the nose and also project 3D image of the fragrance to the bubble soap in real-time. In this video, we present our first prototype which automatically inserts fragrance into a soap bubble and also projects images to the moving bubble. All system is activated by speech recognition.

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In today’s ubiquitous computing environment where the number of devices, applications and web ser... more In today’s ubiquitous computing environment where the number of devices, applications and web services are ever increasing, human attention is the new bottleneck in computing. To minimize user cognitive load, we propose Attelia, a novel middleware that identifies breakpoints in user interaction and delivers notifications at these moments. Attelia works in real- time and uses only the mobile devices that users naturally use and wear, without any modifications to applications, and without any dedicated psycho-physiological sensors. Our evaluation proved the effectiveness of Attelia. A controlled user study showed that notifications at detected breakpoint timing resulted in 46% lower cognitive load compared to randomly-timed notifications. Furthermore, our “in-the-wild” user study with 30 participants for 16 days further validated Attelia’s value, with a 33% decrease in cognitive load compared to randomly-timed notifications.

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Proceedings of the extended abstracts of the 32nd annual ACM conference on Human factors in computing systems - CHI EA '14, 2014

ABSTRACT

Bookmarks Related papers MentionsView impact

Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication - UbiComp '13 Adjunct, 2013

ABSTRACT The paper proposes EverCopter, which provides continuous and adaptive over-the-air sensi... more ABSTRACT The paper proposes EverCopter, which provides continuous and adaptive over-the-air sensing with detachable wired flying objects. While a major advantage of sensing systems with battery-operated MAVs is a wide sensing coverage, sensing time is limited due to its limited amount of energy. We propose dynamically rechargeable flying objects, called EverCopter. EverCopter achieves both long sensing time and wide sensing coverage by the following two characteristics. First, multiple EverCopters can be tied in a row by power supply cables. Since the root EverCopter in a row is connected to DC power supply on the ground, each EverCopter can fly without battery. This makes their sensing time forever, unless the power supply on the ground fails. Second, the leaf EverCopter can detach itself from the row in order to enjoy wider sensing coverage. An EverCopter, while it is detached, runs with its own battery-supplied energy. When the remaining energy becomes low, it flies back to the row to recharge the battery.

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Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing - UbiComp '14 Adjunct, 2014

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Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication - UbiComp '13 Adjunct, 2013

ABSTRACT This paper proposes FRAGWRAP which maps scent to real objects in real-time. To achieve t... more ABSTRACT This paper proposes FRAGWRAP which maps scent to real objects in real-time. To achieve this purpose, we leverage fragrance-encapsulated soap bubble with projection mapping technique. Since human olfaction is known as combined utilization of his/her eyes and nose, we encapsulate fragrance into bubble soap to stimulate the nose and also project 3D image of the fragrance to the bubble soap in real-time. In this video, we present our first prototype which automatically inserts fragrance into a soap bubble and also projects images to the moving bubble. All system is activated by speech recognition.

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In today’s ubiquitous computing environment where the number of devices, applications and web ser... more In today’s ubiquitous computing environment where the number of devices, applications and web services are ever increasing, human attention is the new bottleneck in computing. To minimize user cognitive load, we propose Attelia, a novel middleware that identifies breakpoints in user interaction and delivers notifications at these moments. Attelia works in real- time and uses only the mobile devices that users naturally use and wear, without any modifications to applications, and without any dedicated psycho-physiological sensors. Our evaluation proved the effectiveness of Attelia. A controlled user study showed that notifications at detected breakpoint timing resulted in 46% lower cognitive load compared to randomly-timed notifications. Furthermore, our “in-the-wild” user study with 30 participants for 16 days further validated Attelia’s value, with a 33% decrease in cognitive load compared to randomly-timed notifications.

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