Socially assistive robotics: Human augmentation versus automation.
1Departments of Computer Science, Neuroscience, Pediatrics, Robotics Autonomous Systems Center, University of Southern California, Los Angeles, CA 90089, USA. mataric@usc.edu.
Science Robotics
|November 7, 2020
Summary
Intelligent systems are designed to help people interact socially, not to perform physical chores. This research explores the shift towards social facilitation in human-computer interaction.
Area of Science:
- Human-Computer Interaction
- Artificial Intelligence
- Social Robotics
Background:
- Traditional intelligent systems focused on task automation.
- Growing interest in systems that support social needs.
- Need for systems that enhance human connection.
Purpose of the Study:
- To investigate the role of intelligent systems in social interaction.
- To differentiate between task-oriented and socially-oriented AI.
- To highlight the potential of AI in facilitating social engagement.
Main Methods:
- Literature review of intelligent system applications.
- Analysis of system design principles for social interaction.
- Case studies of interactive systems.
Main Results:
- Intelligent systems increasingly facilitate social interactions.
- Shift from physical task automation to social support.
- Examples include AI companions and social robots.
Conclusions:
- Intelligent systems are evolving to support social needs.
- Focus on facilitating human connection is a key development.
- Future systems will likely prioritize social intelligence.
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