User-Defined Game Input for Smart Glasses in Public Space

Abstract

Smart glasses, such as Google Glass, provide alwaysavailable displays not offered by console and mobile gaming devices, and could potentially offer a pervasive gaming experience. However, research on input for games on smart glasses has been constrained by the available sensors to date. To help inform design directions, this paper explores userdefined game input for smart glasses beyond the capabilities of current sensors, and focuses on the interaction in public settings. We conducted a user-defined input study with 24 participants, each performing 17 common game control tasks using 3 classes of interaction and 2 form factors of smart glasses, for a total of 2448 trials. Results show that users significantly preferred non-touch and non-handheld interaction over using handheld input devices, such as in-air gestures. Also, for touch input without handheld devices, users preferred interacting with their palms over wearable devices (51% vs 20%). In addition, users preferred interactions that are less noticeable due to concerns with social acceptance, and preferred in-air gestures in front of the torso rather than in front of the face (63% vs 37%).

Performance Analysis of Interaction between Smart Glasses and Smart Objects Using Image-Based Object Identification

“…Possible solutions include the application of the accelerometer [22], smart fabrics [23], or eye-tracker [24]. Other methods and comparison study were presented in [25]. In this study we verified the fundamental interaction procedure using the eyetracker, which is a part of the eGlasses platform.…”

Challenges in mobile multi-device ecosystems

“…One such example is the transition between touch and mid-air interaction. While recent research has shown that for some tasks (e.g., gaming) users would prefer mid-air input for smartglasses [96], there are clearly benefits of haptic qualities of surfaces [97], which are evident in touch being the dominant interaction mode for smartphones and smartwatches. While researchers have begun to investigate the joint interaction space of touch and free-space input (e.g., [42,43,98]), there is clearly a larger design space to explore in highly mobile multi-device scenarios.…”

Understanding freehand gestures: a study of freehand gestural interaction for immersive VR shopping applications

“…Recently, some researchers [26,[37][38][39][40] proposed a new "1-to-3" experimental protocol for gesture elicitation, in which participants were required to derive three gesture candidates for each target task. They speculated that such a method may prompt end-users to think more deeply about which gestures were most appropriate for specified tasks, rather than directly using those legacy-inspired gestures popped out of their minds easily.…”