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Atsuhiko Maeda


Publications by Atsuhiko Maeda (bibliography)

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Maeda, Atsuhiko, Hara, Kenji, Kobayashi, Minoru and Abe, Masanobu (2011): "ClearPlate" for capturing printed information: a scanner and viewfinder in one optical unit. In: Proceedings of ACM CHI 2011 Conference on Human Factors in Computing Systems 2011. pp. 2737-2740. http://dx.doi.org/10.1145/1978942.1979346

As it is becoming more common for various handheld devices to be equipped with a camera, applications that use image recognition are increasing. Therefore, improving the usability of these devices by enhancing their image capture characteristics is becoming more important. We present ClearPlate -- a new optical unit for image capture. It has a physically transparent viewfinder through which the user can observe the target directly without offset; the framed image is captured by the built-in camera. We also present a user study that evaluates ClearPlate performance in the 2D barcode acquisition task. Results show that ClearPlate significantly outperforms the camera-phone-based approach with regard to 2D barcode acquisition.

© All rights reserved Maeda et al. and/or their publisher

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Chigira, Hiroshi, Maeda, Atsuhiko and Kobayashi, Minoru (2011): Area-based photo-plethysmographic sensing method for the surfaces of handheld devices. In: Proceedings of the 2011 ACM Symposium on User Interface Software and Technology 2011. pp. 499-508. http://dx.doi.org/10.1145/2047196.2047262

Capturing the user's vital signs is an urgent goal in the HCI community. Photo-plethysmography (PPG) is one approach; it can collect data from the finger tips that indicate the user's autonomic nervous system (ANS) and offers new potentials such as mental stress measurement and drowsy state detection. Our goal is to set PPG sensors on the surfaces of ordinary devices such as mice, smartphones, and steering wheels. This will offer smart monitoring without the burden of additional wearable sensors. Unfortunately, current PPG sensors are very narrow, and even if the sensor is attached to the surface of a device, the user is forced to align and hold the finger to the sensor point, which degrades device usability. To solve this problem, we propose an area-based sensing method that relaxes the alignment requirement. The proposed method uses two thin acrylic plates, a diffuser plate and a detection plate, as an IR waveguide. The proposed method can yield very thin sensing surfaces and gentle curvatures are possible. An experiment compares the proposed method to the conventional point-sensor in terms of LF/HF discrimination performance with the participant in the resting state, and the proposed method is shown to offer comparable sensing performance with superior usability.

© All rights reserved Chigira et al. and/or ACM Press

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Maeda, Atsuhiko, Inagaki, Hirohito and Abe, Masanobu (2009): Arrow tag: a direction-key-based technique for rapidly selecting hyperlinks while gazing at a screen. In: Proceedings of ACM CHI 2009 Conference on Human Factors in Computing Systems 2009. pp. 1025-1028. http://doi.acm.org/10.1145/1518701.1518857

Television sets and video game consoles equipped with a web browser have appeared, and we are now able to browse web pages on television screens. However, existing navigation techniques are too difficult in this situation. In this paper, we propose Arrow Tag, a new link selection technique for web browsers on TV. In this technique, sequences of arrow signs called Arrow Tags are assigned to the links of the web pages, so users can select the links by pushing the four direction keys a few times, while keeping her/his gaze fixed on the television screen. User studies show that Arrow Tag significantly outperforms the conventional techniques of Focus Move and Number Tag. Moreover, most participants preferred Arrow Tag over either Focus Move or Number Tag.

© All rights reserved Maeda et al. and/or ACM Press

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