Session:「Devices and Interactions for Care」

Feel My Pain: Design and Evaluation of Painpad, a Tangible Device for Supporting Inpatient Self-Logging of Pain

論文URL: http://dl.acm.org/citation.cfm?doid=3173574.3173743

論文アブストラクト: Monitoring patients' pain is a critical issue for clinical caregivers, particularly among staff responsible for providing analgesic relief. However, collecting regularly scheduled pain readings from patients can be difficult and time-consuming for clinicians. In this paper we present Painpad, a tangible device that was developed to allow patients to engage in self-logging of their pain. We report findings from two hospital-based field studies in which Painpad was deployed to a total of 78 inpatients recovering from ambulatory surgery. We find that Painpad results in improved frequency and compliance with pain logging, and that self-logged scores may be more faithful to patients' experienced pain than corresponding scores reported to nurses. We also show that older adults may prefer tangible interfaces over tablet-based alternatives for reporting their pain, and we contribute design lessons for pain logging devices intended for use in hospital settings.

日本語のまとめ:

病院内でおける患者の痛みの定期的なロギング方法として、患者がタンジブルデバイスを使ったセルフロギングを提案。看護師によるロギングよりも本デバイスを使うほうが定刻通りに記録され、かつ記録の信頼性が高いことが確認された。

Seismo: Blood Pressure Monitoring using Built-in Smartphone Accelerometer and Camera

論文URL: http://dl.acm.org/citation.cfm?doid=3173574.3173999

論文アブストラクト: Although cost-effective at-home blood pressure monitors are available, a complementary mobile solution can ease the burden of measuring BP at critical points throughout the day. In this work, we developed and evaluated a smartphone-based BP monitoring application called textitSeismo. The technique relies on measuring the time between the opening of the aortic valve and the pulse later reaching a periphery arterial site. It uses the smartphone's accelerometer to measure the vibration caused by the heart valve movements and the smartphone's camera to measure the pulse at the fingertip. The system was evaluated in a nine participant longitudinal BP perturbation study. Each participant participated in four sessions that involved stationary biking at multiple intensities. The Pearson correlation coefficient of the blood pressure estimation across participants is 0.20-0.77 ($mu$=0.55, $sigma$=0.19), with an RMSE of 3.3-9.2 mmHg ($mu$=5.2, $sigma$=2.0).

日本語のまとめ:

スマホを利用した血圧計測。胸の前にスマホを置いて加速度センサーで心臓の弁の動きをとる。同時にライトを点灯した状態で指でカメラを塞いで指の脈をとる。キャリブレーション後、心臓の弁と指の脈の励起時間から血圧を推定する。

Exploring the Design of Tailored Virtual Reality Experiences for People with Dementia

論文URL: http://dl.acm.org/citation.cfm?doid=3173574.3174088

論文アブストラクト: Despite indications that recreational virtual reality (VR) experiences could be beneficial for people with dementia, this area remains unexplored in contrast to the body of work on neurological rehabilitation through VR in dementia. With recreational VR applications coming to the market for dementia, we must consider how VR experiences for people with dementia can be sensitively designed to provide comfortable and enriching experiences. Working with seven participants from a local dementia care charity, we outline some of the opportunities and challenges inherent to the design and use of VR experiences with people with dementia and their carers through an inductive thematic analysis. We also provide a series of future directions for work in VR and dementia: 1) careful physical design, 2) making room for sharing, 3) utilizing all senses, 4) personalization, and 5) ensuring the active inclusion of the person with dementia.

日本語のまとめ:

認知症患者が楽しめるVRのデザインの模索。患者&介護者ペアからどういったVR体験をしたいかをリスニングして環境を作成し、実際に彼らに体験してもらうワークショップを開催。今後のVR体験のデザインの方向性を明らかにした。

Fast & Furious: Detecting Stress with a Car Steering Wheel

論文URL: http://dl.acm.org/citation.cfm?doid=3173574.3174239

論文アブストラクト: Stress affects the lives of millions of people every day. In-situ sensing could enable just-in-time stress management interventions. We present the first work to detect stress using the movements of a car's existing steering wheel. We extend prior work on PC peripherals and demonstrate that stress, expressed through muscle tension in the limbs, can be measured through the way we drive a car. We collected data in a driving simulator under controlled circumstances to vary the levels of induced stress, within subjects. We analyze angular displacement data to estimate coefficients related to muscle tension using an inverse filtering technique. We prove that the damped frequency of a mass spring damper model representing the arm is significantly higher during stress. Stress can be detected with only a few turns during driving. We validate these measures against a known stressor and calibrate our sensor against known stress measurements.

日本語のまとめ:

車のハンドルの回転からドライバーのストレスを計測する試み。マウスの動きをばね質量系でモデル化したとき、減衰固有振動数がストレスに相関するという知見に基づき、ハンドルの回転を同様にモデル化。シミュレータで被験者実験した。