Session:「Sensing and Input」

ForceEdge: Controlling Autoscroll on Both Desktop and Mobile Computers Using the Force

論文URL: http://dl.acm.org/citation.cfm?doid=3025453.3025605

論文アブストラクト: Operating systems support autoscroll to allow users to scroll a view while in dragging mode: the user moves the pointer near the window's edge to trigger an "automatic" scrolling whose rate is typically proportional to the distance between the pointer and the window's edge. This approach suffers from several problems, especially when the window is maximized, resulting in a very limited space around it. Another problem is that for some operations, such as object drag-and-drop, the source and destination might be located in different windows, making it complicated for the computer to understand user's intention. In this paper, we present ForceEdge, a novel autoscroll technique relying on touch surfaces with force-sensing capabilities to alleviate the problems related to autoscroll. We report on the results of three controlled experiments showing that it improves over macOS and iOS systems baselines for top-to-bottom select and move tasks.

日本語のまとめ:

新たなスクロール操作の開発.新手法は2本の指で行うタッチ操作によるスクロール.従来だと該当箇所からマウスポインタを離した距離に応じてスクロール速度が変化するが,今回はタッチの圧力によって行う.

Finding Common Ground: A Survey of Capacitive Sensing in Human-Computer Interaction

論文URL: http://dl.acm.org/citation.cfm?doid=3025453.3025808

論文アブストラクト: For more than two decades, capacitive sensing has played a prominent role in human-computer interaction research. Capacitive sensing has become ubiquitous on mobile, wearable, and stationary devices - enabling fundamentally new interaction techniques on, above, and around them. The research community has also enabled human position estimation and whole-body gestural interaction in instrumented environments. However, the broad field of capacitive sensing research has become fragmented by different approaches and terminology used across the various domains. This paper strives to unify the field by advocating consistent terminology and proposing a new taxonomy to classify capacitive sensing approaches. Our extensive survey provides an analysis and review of past research and identifies challenges for future work. We aim to create a common understanding within the field of human-computer interaction, for researchers and practitioners alike, and to stimulate and facilitate future research in capacitive sensing.

日本語のまとめ:

静電容量センシングの研究分野における「単語の統一」のための「新たな分類方法」の提案を行う.様々な分野で用いられる同じことを示す単語を8種の分類方法にて,236個の参考文献から単語を抽出し,集約して分類を行う.

bioSync: A Paired Wearable Device for Blending Kinesthetic Experience

論文URL: http://dl.acm.org/citation.cfm?doid=3025453.3025829

論文アブストラクト: We present a novel, paired, wearable system for combining the kinesthetic experiences of two persons. These devices allow users to sense and combine muscle contraction and joint rigidity bi-directionally. This is achieved through kinesthetic channels based on electromyogram (EMG) measurement and electrical muscle stimulation (EMS). We developed a pair of wearable kinesthetic input-output (I/O) devices called bioSync that uses specially designed electrodes to perform biosignal measurement and stimulation simultaneously on the same electrodes.In a user study, participants successfully evaluated the strength of their partners' muscle contractions while exerting their own muscles. We confirmed that the pair of devices could help participants synchronize their hand movements through tapping, without visual and auditory feedback. The proposed interpersonal kinesthetic communication system can be used to enhance interactions such as clinical gait rehabilitation and sports training, and facilitate sharing of physical experiences with Parkinson's patients, thereby enhancing understanding of the physical challenges they face in daily life.

日本語のまとめ:

筋電図(EMG)測定および電気的筋肉刺激(EMS)に基づく運動感覚をリンクさせるウェアラブルデバイスを開発した.3枚の電極で電気信号のI/Oを実現することで,リアルタイムに運動感覚をリンクさせることができる.

Modeling Cumulative Arm Fatigue in Mid-Air Interaction based on Perceived Exertion and Kinetics of Arm Motion

論文URL: http://dl.acm.org/citation.cfm?doid=3025453.3025523

論文アブストラクト: Quantifying cumulative arm muscle fatigue is a critical factor in understanding, evaluating, and optimizing user experience during prolonged mid-air interaction. A reasonably accurate estimation of fatigue requires an estimate of an individual's strength. However, there is no easy-to-access method to measure individual strength to accommodate inter-individual differences. Furthermore, fatigue is influenced by both psychological and physiological factors, but no current HCI model provides good estimates of cumulative subjective fatigue. We present a new, simple method to estimate the maximum shoulder torque through a mid-air pointing task, which agrees with direct strength measurements. We then introduce a cumulative fatigue model informed by subjective and biomechanical measures. We evaluate the performance of the model in estimating cumulative subjective fatigue in mid-air interaction by performing multiple cross-validations and a comparison with an existing fatigue metric. Finally, we discuss the potential of our approach for real-time evaluation of subjective fatigue as well as future challenges.

日本語のまとめ:

空中インタラクションの累積疲労の評価方法を提案した.時間と疲労の関係式を用いて最大肩部のモーメントを推定し,累積疲労を評価する.インタラクション時間と休憩時間の両方を考慮したため,従来の測定方法より効果的である.