Improving technology of remote communication, human will be free from “transfer”. This term, I mainly researched and made a conclusion about the problems of current telepresence systems. Based on that, I found existing opposite background decreasing the experiences of video chats. Therefore, I will continue research about extracting and replacing background on video chats by using tablet’s camera
We collect robot-like “shapes” and “movements” in daily life with photos, videos, sometimes sketches.
Then we categorize and analyze those data from many viewpoints, and consider what “robot-like objects” is.
On the contrary, by doing so, it helps to understand what humans or living things- “like” object is.
Today’s telecommunication systems have been greatly evolving, while the video calls used on telepresence robots still seems bland. We hypothesize that the augmentation of video calls with Manga-Effects will help users attain a sense of familiarity and find entertaining components within their conversations. In specific, adding various Manga-Effects over the video call, respectively selected upon the users’ facial expression, will help visually emphasize certain emotions. This experiment analyzes the level of users’ involvement in the conversation, and verifies our hypothesis.
IoT devices which display life-support information to users is increasing. However, it is difficult to add information-giving function to the product which close to user’s life, i.e. commodity. In fact, this information is given from the device which have a wealth computation source. In this research, we propose the approach which add information-giving function to those IoT introduction difficult things, using augmented reality technology. This system enables right things to give right information in right timing.
Inadequate variety of personalities for communication robots may cause unnatural interac- tion with them and reduction in attachment. This paper proposes C2 AT2 HUB, where communication robots are characterized by changing tendency of affect transition based on long-term interaction with users. In C2AT2 HUB, robots’ affect is defined as two types; “interpersonal affect” and “emotions”, and transition of each type of affect is adjusted by history of users’ actions to robots in order to characterize robots gradually. Evaluation experiment revealed our approach characterizes robots naturally and improves impression of robots.
In the future, communication robots are expected to join many-to-many human-robot interactions. Thus, robots must handle interruptions requesting a new task outside of the current conversation. In this paper, we propose a novel scheduler which decides switch timing of conversational tasks when a robot is interrupted. The model grasps the structure of the conversation and finds its breakpoints based on adjacency pairs. In order to decide whether to switch conversational tasks on each breakpoint or not, the model prioritizes conversational tasks considering an importance of its topic and a length as contexts of each conversational task. The model also uses human relationships and emotional behaviors to decide priority of conversational tasks. The result of an evaluation experiment shows that our proposed scheduler could impress subjects more favorably than that which always prioritizes an interrupter.
This research proposes a solution to the declining labor force of Japanese fishing industry through the implementation of aquatic swarm robots, or swarm Unmanned Surface Vehicle (USV). As a target, we primarily focus on the makiami style fishing, where with the implementation of this system, the amount of workers required can be significantly reduced. As a preliminary step, a prototype of swarm USV that can adjust its position as a swarm on the surface of water will be made.
In a robot and human conversation the robot’s voice is so flat that human can’t calm down. There are robots that can adjust it’s voice. However it is hard and endless works that adjusting them in manually. This research verifies influence that automatically changing robot’s voice tone by reading mind itself.