論文アブストラクト： This paper introduces BIGnav, a new multiscale navigation technique based on Bayesian Experimental Design where the criterion is to maximize the information-theoretic concept of mutual information, also known as information gain. Rather than simply executing user navigation commands, BIGnav interprets user input to update its knowledge about the user's intended target. Then it navigates to a new view that maximizes the information gain provided by the user's expected subsequent input. We conducted a controlled experiment demonstrating that BIGnav is significantly faster than conventional pan and zoom and requires fewer commands for distant targets, especially in non-uniform information spaces. We also applied BIGnav to a realistic application and showed that users can navigate to highly probable points of interest on a map with only a few steps. We then discuss the tradeoffs of BIGnav--including efficiency vs. increased cognitive load--and its application to other interaction tasks.
論文アブストラクト： Object manipulation in 3D virtual environments demands a combined coordination of rotations, translations and scales, as well as the camera control to change the user's viewpoint. Then, for many manipulation tasks, it would be advantageous to share the interaction complexity among team members. In this paper we propose a novel 3D manipulation interface based on a collaborative action coordination approach. Our technique explores a smartphone -- the touchscreen and inertial sensors -- as input interface, enabling several users to collaboratively manipulate the same virtual object with their own devices. We first assessed our interface design on a docking and an obstacle crossing tasks with teams of two users. Then, we conducted a study with 60 users to understand the influence of group size in collaborative 3D manipulation. We evaluated teams in combinations of one, two, three and four participants. Experimental results show that teamwork increases accuracy when compared with a single user. The accuracy increase is correlated with the number of individuals in the team and their work division strategy.
論文アブストラクト： The rapid evolution of multi-display environments (MDEs) has created a vacuum in need of novel input devices to optimize interaction in MDEs. In this paper, we propose TDome, a novel touch-enabled 6DOF input and output device to facilitate interactions in MDEs. TDome offers a private display as output, and multiple degrees of freedom as input by combining touch gestures on the display with physical rotation, roll and translation manipulations of the device. TDome allows versatile interactions that address major MDE tasks, which we illustrate through various proof-of-concept implementations: detect surrounding displays, select one display, transfer data across displays, reach distant displays and perform private interactions. We explore TDome's usability and suitability for MDEs through three user studies. First we explore combined physical+touch gestures from which we discard uncomfortable combinations. We experimentally validate their feasibility and come up with a set of 71 combined gestures that are comfortable and ensure a high success rate, i.e. that can be easily performed and efficiently detected. Finally, we collect user feedback to identify natural mappings between gestures and MDE interactions.
論文アブストラクト： Finding (and re-finding) locations in text documents is a common activity for most computer users -- but tools for document navigation are still limited in many ways. Previous research has shown that a spatially-stable overview of the entire document can be substantially faster than any other navigation technique -- particularly when revisiting previous locations. However, the overview technique has only been tested in a limited laboratory study, so little is known about whether it works in more realistic contexts. To answer this question, we developed a PDF viewer that incorporates several document-navigation techniques, and carried out two studies. First, we ran a field experiment in which users carried out search tasks using an overview and other techniques -- on their own computers in a non-laboratory environment. Second, we ran a smaller field study in which people used our viewer (with choice of navigation techniques) for their own PDF tasks. In the field experiment, the overview was significantly and substantially faster than other techniques, and in the field study, the technique was frequently used for a wide variety of documents. Our work provides confirmation of the value of spatially stable overviews as a basis for document navigation.