We present a novel headband-type wearable device called FaceLooks, used for measuring the time of the face-to-face state with an identity of the partner, using an infrared emitter and receiver. It can also be used for behavioral healthcare applications, such as for children with developmental disorders who exhibit difficulties with the behavior, by providing awareness through the visual feedback from the partner’s device. Two laboratory experiments showed the device’s detection range and response time, tested with a pair of dummy heads. Another laboratory experiment was done with human participants with gaze trackers and showed the device’s substantial agreement with a human observer. We then conducted two field studies involving children with intellectual disabilities and/or autism spectrum disorders. The first study showed that the devices could be used in the school setting, observing the children did not remove the devices. The second study showed that the duration of children’s face-to-face behavior could be increased under a visual feedback condition. The device shows its potential to be used in therapy and experimental fields because of its wearability and its ability to quantify and shape face-to-face behavior.

Five Selected Papers

  1. Taku Hachisu, Yadong Pan, Soichiro Matsuda, Baptiste Bourreau, Kenji Suzuki: FaceLooks: a Smart Headband for Signaling Face-to-Face Behavior, MDPI Sensors, vol. 18, no. 7, 2066, 2018.
  2. 蜂須拓，潘雅冬，松田壮一郎，バティスト・ブロー，鈴木健嗣：複数人による双方向の対面行動を計量する頭部装着型デバイス，電子情報通信学会論文誌，vol. J101-D, no. 2, pp. 320-329, 2018．
  3. Yadong Pan, Taku Hachisu, Kenji Suzuki: Computational Modeling of Head-Eye Coordination in Face-to-Face Behavior, in Proceedings of IEEE International Conference on Systems, Man, and Cybernetics (SMC) 2017, pp. 1058-1063, Banff, Canada, Oct. 5-8, 2017.
  4. 蜂須拓，Yadong Pan，利根忠幸，Baptiste Bourreau，鈴木健嗣：赤外線通信により物理的対面を計量するウェアラブルデバイス，日本バーチャルリアリティ学会論文誌，vol. 22，no. 1，pp. 11-18，2017．
  5. 蜂須拓，潘雅冬，松田壮一郎，バティスト・ブロー，鈴木健嗣：対面行動を拡張するウェアラブルデバイス：赤外線通信による物理的対面の計測，電子情報通信学会HCGシンポジウム2016，高知，2016/12/7-9．

Videos

  • MDPI Sensors 2018
    • Short version

    • Long version