Service Robot Target Identification for Human-Like Interaction
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Solution Overview
Problem
When service robots become ubiquitous, users may feel less satisfied with the service provided as they are surrounded by other robots, leading to a decrease in the perceived quality of the experience.
Innovation Solution
A service providing system that includes a mobile robot equipped with detection and output units capable of distinguishing between human and robot targets, allowing the system to output signals in different manners based on the target identified, ensuring a more satisfactory user experience by replacing robot images with human-like images when interacting with other robots.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If robots are made ubiquitous and deployed widely, then service coverage and accessibility are improved, but user satisfaction deteriorates due to users feeling surrounded by other robots
Solution Approach 1:
The system creates virtual human images as copies to replace actual robot appearances. When a robot detects another robot, it generates a virtual human representation that mimics human visual characteristics, allowing users to perceive robot interactions as human-like encounters rather than robot-to-robot interactions, thereby maintaining user satisfaction in ubiquitous robot environments
Solution Approach 2:
The image generation unit acts as an intermediary between the detection unit and the user's perception. It processes raw detection data and transforms it into human-like visual representations before presenting them to users, mediating the transition from actual robot appearances to perceived human appearances to resolve the contradiction between robot ubiquity and user satisfaction
2Loss of information
If the robot outputs signals showing actual robot images, then information accuracy is improved, but user experience deteriorates due to reduced sense of reality
Solution Approach 1:
The system applies different image processing qualities based on the target type. When detecting human targets, it preserves original detection accuracy. When detecting robot targets, it applies human-like image transformation locally to that specific target while maintaining accurate spatial and contextual information, thus achieving both information accuracy and enhanced user experience
Data Source
AI summary
A service providing system including: a mobile robot configured to act in response to an instruction from a user through wireless communication and including a sensor having a capability corresponding to a human sensing capability to perceive an external world; a target identifying unit configured to identify whether an action target of the robot is a human being or another robot; an user apparatus control portion configured to output the signal detected by the sensor in a first manner when the action target is identified to be a human being and output the signal detected by the sensor in a second manner when the action target is identified to be the other robot; and a user apparatus configured to act in a manner perceivable by the user based on a output signal.