Immersive telepresence, when a user views the video stream of a $360^\circ$ camera in a remote environment using a Head Mounted Display (HMD), has great potential to improve the sense of being in a remote environment. In most cases of immersive robotic telepresence, the camera is mounted on a mobile robot which increases the portion of the environment that the remote user can explore. However, robot motions can induce unpleasant symptoms associated with Virtual Reality (VR) sickness, degrading the overall user experience. Previous research has shown that unwinding the rotations of the robot, that is, decoupling the rotations that the camera undergoes due to robot motions from what is seen by the user, can increase user comfort and reduce VR sickness. However, that work considered a virtual environment and a simulated robot. In this work, to test whether the same hypotheses hold when the video stream from a real camera is used, we carried out a user study $(n=36)$ in which the unwinding rotations method was compared against coupled rotations in a task completed through a panoramic camera mounted on a robotic arm. Furthermore, within an inspection task which involved translations and rotations in three dimensions, we tested whether unwinding the robot rotations impacted the performance of users. The results show that the users found the unwinding rotations method to be more comfortable and preferable, and that a reduced level of VR sickness can be achieved without a significant impact on task performance.

Mobile telepresence robots allow users to feel present and explore remote environments using technology. Traditionally, these systems are implemented using a camera onboard a mobile robot that can be controlled. Although high-immersion technologies, such as 360-degree cameras, can increase situational awareness and presence, they also introduce significant challenges. Additional processing and bandwidth requirements often result in latencies of up to seconds. The current delay with a 360-degree camera streaming over the internet makes real-time control of these systems difficult. Working with high-latency systems requires some form of assistance to the users. This study presents a novel way to utilize optical flow to create an illusion of self-motion to the user during the latency period between user sending motion commands to the robot and seeing the actual motion through the 360-camera stream. We find no significant benefit of using the self-motion illusion to performance or accuracy of controlling a telepresence robot with a latency of 500 ms, as measured by the task completion time and collisions into objects. Some evidence is shown that the method might increase virtual reality (VR) sickness, as measured by the simulator sickness questionnaire (SSQ). We conclude that further adjustments are necessary in order to render the method viable.

If, like me, you suffer from motion sickness, then you know just how quickly a trip down Britain's winding back roads can turn into a nausea-inducing nightmare. But if you struggle to hold on to your lunch as the car starts to lurch, there may soon be a solution. ClearMotion, a Boston-based startup, claims that its latest generation of cutting-edge suspension can'eliminate motion sickness' for good. So, with anti-nausea tablets in hand, MailOnline's reporter, Wiliam Hunter, took a trip to their Warwickshire testing facility to try it for himself. With compact motors tucked away above each wheel and a sophisticated onboard computer, the system can push and pull the wheels to cancel out bumps in the road.

The ability to engage in other activities during the ride is considered by consumers as one of the key reasons for the adoption of automated vehicles. However, engagement in non-driving activities will provoke occupants' motion sickness, deteriorating their overall comfort and thereby risking acceptance of automated driving. Therefore, it is critical to extend our understanding of motion sickness and unravel the modulating factors that affect it through experiments with participants. Currently, most experiments are conducted on public roads (realistic but not reproducible) or test tracks (feasible with prototype automated vehicles). This research study develops a method to design an optimal path and speed reference to efficiently replicate on-road motion sickness exposure on a small test track. The method uses model predictive control to replicate the longitudinal and lateral accelerations collected from on-road drives on a test track of 70 m by 175 m. A within-subject experiment (47 participants) was conducted comparing the occupants' motion sickness occurrence in test-track and on-road conditions, with the conditions being cross-randomized. The results illustrate no difference and no effect of the condition on the occurrence of the average motion sickness across the participants. Meanwhile, there is an overall correspondence of individual sickness levels between on-road and test-track. This paves the path for the employment of our method for a simpler, safer and more replicable assessment of motion sickness.

And, for the one in three people who are especially prone to motion sickness, the inevitable nausea can be an almost daily inconvenience. But now one company says it has the solution for beating travel sickness - and could even help with the juddering experience of driving along pothole-pocked terrains. ClearMotion - a Massachusetts-based startup which has locations in Birmingham, UK, and Shanghai, China - has just announced a $1 billion deal to create a futuristic chassis that claims to cancel unwanted car motion. By adapting the vehicle to the road, this high-tech suspension allows a car to actively cancel out bumps in the road. Car sickness is caused by small repeated motions in the vehicle.

Head motion is a key determinant of motion comfort and differs substantially from seat motion due to seat and body compliance and dynamic postural stabilization. This paper compares different human body model fidelities to transmit seat accelerations to the head for the assessment of motion comfort through simulations. Six-degree of freedom dynamics were analyzed using frequency response functions derived from an advanced human model (AHM), a computationally efficient human model (EHM) and experimental studies. Simulations of dynamic driving show that human models strongly affected the predicted ride comfort (increased up to a factor 3). Furthermore, they modestly affected sickness using the available filters from the literature and ISO-2631 (increased up to 30%), but more strongly affected sickness predicted by the subjective vertical conflict (SVC) model (increased up to 70%).

Researchers have used machine learning approaches to identify motion sickness in VR experience. These approaches demand an accurately-labeled, real-world, and diverse dataset for high accuracy and generalizability. As a starting point to address this need, we introduce `VR.net', a dataset offering approximately 12-hour gameplay videos from ten real-world games in 10 diverse genres. For each video frame, a rich set of motion sickness-related labels, such as camera/object movement, depth field, and motion flow, are accurately assigned. Building such a dataset is challenging since manual labeling would require an infeasible amount of time. Instead, we utilize a tool to automatically and precisely extract ground truth data from 3D engines' rendering pipelines without accessing VR games' source code. We illustrate the utility of VR.net through several applications, such as risk factor detection and sickness level prediction. We continuously expand VR.net and envision its next version offering 10X more data than the current form. We believe that the scale, accuracy, and diversity of VR.net can offer unparalleled opportunities for VR motion sickness research and beyond.

The metaverse may be on the horizon, but precursor and metaverse-like experiences are already a reality. Yet most people aren't sold on the concept of the metaverse. An early 2022 poll taken by news site Axios and AI platform maker Momentive found that most respondents were ambivalent about the metaverse, with 60% indicating they were unfamiliar with the idea of the metaverse. Although far more respondents were "scared" than "excited" about the metaverse, 58% said they were neither scared nor excited about the coming immersive digital world. As envisioned by analysts and researchers, the metaverse will be a persistent, immersive shared digital environment where people can interact with each other and transact with businesses.

Artificial intelligence can possibly oversee huge volumes of information to make reasonable examples for human arrangement and navigation. It can deal with information across various areas, which is incredibly dreary and tedious for people. This capacity of artificial intelligence to acclimatize information, digest and examine it to anticipate future pandemics and sickness spreads is fundamental. Technological change is formed and organized by cultural standards and relations, which are thus impacted by technological changes. An abundance of new technologies are opening up for quick subatomic distinguishing proof of microbes, yet additionally for the more exact observation of irresistible infections.

Computerized reasoning (AI) has turned into an ordinary reality as innovation propels. Medical services is one area that is rapidly changing on a major scale. From the issuance of electronic medical services cards to individual directing, telehealth is among the freshest areas to utilize AI widely. Man-made intelligence is quite possibly the main variable forming telehealth in the United States today. The utilization of AI in telehealth to permit specialists to make continuous, information driven rich decisions is a vital part in creating a superior patient encounter and further developed wellbeing results as professionals push toward extending virtual consideration choices all through the consideration continuum.