Triggermuscle: Exploring Weight Perception for Virtual Reality Through Adaptive Trigger Resistance in a Haptic VR Controller

It is challenging to provide users with a haptic weight sensation of virtual objects in VR since current consumer VR controllers and software-based approaches such as pseudo-haptics cannot render appropriate haptic stimuli. To overcome these limitations, we developed a haptic VR controller named Triggermuscle that adjusts its trigger resistance according to the weight of a virtual object. Therefore, users need to adapt their index finger force to grab objects of different virtual weights. Dynamic and continuous adjustment is enabled by a spring mechanism inside the casing of an HTC Vive controller. In two user studies, we explored the effect on weight perception and found large differences between participants for sensing change in trigger resistance and thus for discriminating virtual weights. The variations were easily distinguished and associated with weight by some participants while others did not notice them at all. We discuss possible limitations, confounding factors, how to overcome them in future research and the pros and cons of this novel technology

Understanding Fitness Tracker Users’ and Non-Users’ Requirements for Interactive and Transparent Privacy Information

While ftness tracker users consent to the processing of their sensitive data based on privacy policies, previous research has demonstrated that legal texts often remain unread or incomprehensible. This questions whether the given consent is indeed informed. While past research concentrated on improving privacy comprehension, our research aims to better understand user requirements for interactive and transparent privacy information and control systems. We mainly focus on users’ assessment of contextual and functional aspects. Findings from an online survey with ftness tracker users and non-users (. = 204) reveal that such systems need to support users and potential users throughout the usage life cycle, illustrating a dynamic change in requirements and their prioritization of information transparency and privacy control. Design recommendations derived from our results support the development of interactive and comprehensible privacy systems that enable more knowledgeable decisions on sharing and processing ftness tracker data

Comparing Pedestrian Navigation Methods in Virtual Reality and Real Life

Mobile navigation apps are among the most used mobile applications and are often used as a baseline to evaluate new mobile navigation technologies in field studies. As field studies often introduce external factors that are hard to control for, we investigate how pedestrian navigation methods can be evaluated in virtual reality (VR). We present a study comparing navigation methods in real life (RL) and VR to evaluate if VR environments are a viable alternative to RL environments when it comes to testing these. In a series of studies, participants navigated a real and a virtual environment using a paper map and a navigation app on a smartphone. We measured the differences in navigation performance, task load and spatial knowledge acquisition between RL and VR. From these we formulate guidelines for the improvement of pedestrian navigation systems in VR like improved legibility for small screen devices. We furthermore discuss appropriate low-cost and low-space VR-locomotion techniques and discuss more controllable locomotion techniques