Session:「Input: Targets and Selection」

Point-and-Shake: Selecting from Levitating Object Displays

論文URL: http://dl.acm.org/citation.cfm?doid=3173574.3173592

論文アブストラクト: Acoustic levitation enables a radical new type of human-computer interface composed of small levitating objects. For the first time, we investigate the selection of such objects, an important part of interaction with a levitating object display. We present Point-and-Shake, a mid-air pointing interaction for selecting levitating objects, with feedback given through object movement. We describe the implementation of this technique and present two user studies that evaluate it. The first study found that users could accurately (96%) and quickly (4.1s) select objects by pointing at them. The second study found that users were able to accurately (95%) and quickly (3s) select occluded objects. These results show that Point-and-Shake is an effective way of initiating interaction with levitating object displays.

日本語のまとめ:

音波による物体の浮遊技術を使用した3D物理ディスプレイにおける、浮遊オブジェクト選択手法の提案。指をさすジェスチャで選択し、オブジェクトの振動でフィードバックする。浮遊オブジェクトとのインタラクションの基礎を築く研究。

Pinpointing: Precise Head- and Eye-Based Target Selection for Augmented Reality

論文URL: http://dl.acm.org/citation.cfm?doid=3173574.3173655

論文アブストラクト: Head and eye movement can be leveraged to improve the user's interaction repertoire for wearable displays. Head movements are deliberate and accurate, and provide the current state-of-the-art pointing technique. Eye gaze can potentially be faster and more ergonomic, but suffers from low accuracy due to calibration errors and drift of wearable eye-tracking sensors. This work investigates precise, multimodal selection techniques using head motion and eye gaze. A comparison of speed and pointing accuracy reveals the relative merits of each method, including the achievable target size for robust selection. We demonstrate and discuss example applications for augmented reality, including compact menus with deep structure, and a proof-of-concept method for on-line correction of calibration drift.

日本語のまとめ:

ウェアラブルARの高精度なポインティング手法の提案。視線や頭部ポインティングにより大まかな位置を決め、ジェスチャやポインティングデバイスで微調整を行うことで高精度を実現。提案手法に適した応用アプリも作成。※動画視聴推奨

Understanding the Uncertainty in 1D Unidirectional Moving Target Selection

論文URL: http://dl.acm.org/citation.cfm?doid=3173574.3173811

論文アブストラクト: In contrast to the extensive studies on static target pointing, much less formal understanding of moving target acquisition can be found in the HCI literature. We designed a set of experiments to identify regularities in 1D unidirectional moving target selection, and found a Ternary-Gaussian model to be descriptive of the endpoint distribution in such tasks. The shape of the distribution as characterized by μ and σ in the Gaussian model were primarily determined by the speed and size of the moving target. The model fits the empirical data well with 0.95 and 0.94 R2 values for μ and σ , respectively. We also demonstrated two extensions of the model, including 1) predicting error rates in moving target selection; and 2) a novel interaction technique to implicitly aid moving target selection. By applying them in a game interface design, we observed good performances in both predicting error rates (e.g., 2.7% mean absolute error) and assisting moving target selection (e.g., 33% or a greater increase in pointing accuracy).

日本語のまとめ:

移動するターゲットの選択のモデル化。人間の移動ターゲット選択能力を理解し、エラーレートの予測や、選択の補助システムの作成に役立てる。今回は1D(直線移動)を想定していたが、今後は2Dや3Dへの応用を検討している。

Rolling-Menu: Rapid Command Selection in Toolbars Using Roll Gestures with a Multi-DoF Mouse

論文URL: http://dl.acm.org/citation.cfm?doid=3173574.3173941

論文アブストラクト: This paper presents Rolling-Menu, a technique for selecting toolbar items, based on the use of roll gestures with a multidimensional device, the Roly-Poly Mouse (RPM). Rolling-Menu reduces object-command transition, resulting in a better integration between command selection and direct manipulation of application objects. Selecting a toolbar item with Rolling-Menu requires rolling RPM in a predefined direction corresponding to the item. We propose a design space of Rolling-Menu that includes different roll mapping and validation modes. A first user's study, with a simple toolbar containing up to 14 items, establishes that the best version of Rolling-Menu takes, on average, up to 29% less time than the Mouse to select a toolbar item. Moreover accuracy of the selection with Rolling-Menu is above 90%. Both the validation mode and the mapping between roll direction and toolbar items influence the performance of Rolling-Menus. A second study compares the three best versions of Rolling-Menu with the Mouse to select an item in two types of multidimensional toolbars: a toolbar containing dropdown lists, and a grid toolbar. Results confirm the advantage of Rolling-Menu over a Mouse.

日本語のまとめ:

マルチDoFの半球型マウスを用いたツールバー選択手法の提案。Roll(傾けること)によりカーソルを動かさずにツールバーを選択する。作業領域とツールバーを行き来する必要がない為、通常のマウスより高速で快適。※動画視聴推奨