US based search engine giant Google is planning to launch a second-generation Chromecast Ultra this year based on Android TV with an external remote.
The device is codenamed “sabrina,” and will support 4K HDR content as well as has the usual Chromecast Bluetooth and WiFi connectivity, 9To5Google reported on Tuesday.
As per report, the external remote will control the device, and resembles a cross between the Daydream View remote and an Apple TV remote. The remote will also have a microphone and a dedicated Google Assistant button for controlling content with users voice.
The device is expected to have rounder finish with a typical “G” logo, and an HDMI connector similar to the current Chromecast Ultra.
Additionally, the device will give users access to apps such as YouTube TV, Netflix, Disney+, Hulu, and more.
Currently, there is no information related to pricing or availability for the second gen Chromecast, but it was originally planned to launch at Google I/O 2020 alongside the Pixel 4a.
As more and more people use video conferencing tools to stay connected in social distancing times, neuroscientists from Florida Atlantic University have found that a person’s gaze is altered during tele-communication if they think that the person on the other end of the conversation can see them.
The phenomenon known as “gaze cueing,” a powerful signal for orienting attention, is a mechanism that likely plays a role in the developmentally and socially important wonder of “shared” or “joint” attention where a number of people attend to the same object or location.
“Because gaze direction conveys so much socially relevant information, one’s own gaze behaviour is likely to be affected by whether one’s eyes are visible to a speaker,” said Elan Barenholtz, associate professor of psychology. For example, people may intend to signal that they are paying more attention to a speaker by fixating their face or eyes during a conversation.
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“Conversely, extended eye contact also can be perceived as aggressive and therefore noticing one’s eyes could lead to reduced direct fixation of another’s face or eyes. Indeed, people engage in avoidant eye movements by periodically breaking and reforming eye contact during conversations,” explained Barenholtz.
People are very sensitive to the gaze direction of others and even two-day-old infants prefer faces where the eyes are looking directly back at them. Social distancing across the globe due to coronavirus (COVID-19) has created the need to conduct business “virtually” using Skype, web conferencing, FaceTime and any other means available.
For the study, published in the journal Attention, Perception & Psychophysics, the team compared fixation behaviour in 173 participants under two conditions: one in which the participants believed they were engaging in a real-time interaction and one in which they knew they were watching a pre-recorded
The researchers wanted to know if face fixation would increase in the real-time condition based on the social expectation of facing one’s speaker in order to get attention or if it would lead to greater face avoidance, based on social norms as well as the cognitive demands of encoding the conversation.
Results showed that participants fixated on the whole face in the real-time condition and significantly less in the pre-recorded condition. In the pre-recorded condition, time spent fixating on the mouth was significantly greater compared to the real-time condition. There were no significant differences in time spent fixating on the eyes between the real-time and the pre-recorded conditions. To simulate a live interaction, the researchers convinced participants that they were engaging in a real-time, two-way video interaction (it was actually pre-recorded).
When the face was fixated, attention was directed toward the mouth for the greater percentage of time in the pre-recorded condition versus the real-time condition. “Given that encoding and memory have been found to be optimized by fixating the mouth, which was reduced overall in the real-time condition, this suggests that people do not fully optimize for speech encoding in a live interaction,” the authors wrote. (IANS)