Graphical user interfaces for mobile devices have several drawbacks in mobile situations. In this paper, we present Foogue, an eyes-free interface that utilizes spatial audio and gesture input. Foogue does not require visual attention and hence does not divert visual attention from the task at hand

, closed-loop, eyes-free interactions with a mobile device. Author Keywords Eyes-free interaction, non-visual gestures, wearable

Environmental factors in mobile scenarios often prevent the user from being able to interact with a device via visual interfaces. Tactile feedback offers a promising eyes-free alternative. However, haptic research typically focuses on increasing the bandwidth of the tactile communication channel

Smart phones and tablet computers are becoming increasingly ubiquitous and powerful. They can serve as replacements for currently used input devices, and provide novel functionality not achieved with traditional devices. Furthermore, their ubiquity ensures that they scale well to multi-user environments, where users can use their own devices. Several attempts have already been made to use smart phones and tablets as input devices, but all of these have been one-shot and problem-specific. We present an applicationindependent way to integrate smart phones and tablets into existing systems, using a rapid development process. This approach is based on Marking Menus, but extends the basic idea by employing the special capabilities of current consumerlevel smart phones and tablets.

Haptic feedback provides an additional interaction channel when auditory and visual feedback may not be appropriate. We present a novel haptic feedback system that changes its elasticity to convey information for eyes-free interaction. SqueezeBlock is an electro-mechanical system that can realize a

by visually impaired users. The ViPong proof of concept application uses a mouse instru-mented with a custom built lateral vibrator to enable a person to compete eyes-free in a game of pong using only haptic feedback linked to the position of the ball. A preliminary user study shows that it is possible

Abstract. Large displays are helpful tools for knowledge discovery applications. The increased screen real estate allows for more data to be shown at once. In some cases using virtual reality visualizations helps in creating more useful visualizations. In such settings, traditional input devices are not well-suited. They also do not scale well to multiple users, effectively limiting collaborative knowledge discovery scenarios. Smart phones and tablet computers are becoming increasingly ubiquitous and powerful, even having multi-core CPUs and dedicated Graphic Processing Units (GPUs). Given their built-in sensors they can serve as replacements for currently-used input devices, and provide novel functionality not achieved with traditional devices. Furthermore, their ubiquity ensures that they scale well to multi-user environments, where users can use their own devices. We present an application-independent way to integrate smart phones and tablets into knowledge discovery applications as input devices with additional functionality. This approach is based on Marking Menus, but extends the basic idea by employing the special capabilities of current consumer-level smart phones and tablets.

While there is increasing interest in creating eyes-free interaction technologies, a solid analysis of why users need or desire eyes-free interaction has yet to be presented. To gain a better understanding of such user motivations, we conducted an exploratory study with four focus groups

clothing. Two user studies evaluate ideal placement and orientation of Pinstripe elements on the users ’ garments as well as acceptance and perceived ease of use of this novel textile input technique. Author Keywords smart textiles, wearable computing, eyes-free interaction, continuous input. ACM

As mobile devices increase in functionality, users perform more tasks when on the move. Spatial audio interfaces offer a solution for eyes-free interaction. However, such interfaces face a number of challenges when supporting multiple and simultaneous tasks, namely: 1) interference amongst multiple