What Will Your Robot Servant Look Like?
As we inch closer to the day when we can go online and buy personal robot servants (and, perhaps, an insurrection in which these same robo-workers take over), it’s worth thinking about what these machines should look like.
Fortunately, there’s already a study with a few ideas: Georgia Institute of Technology’s School of Psychology is presenting results of a study this week that explores whether two groups of people (young adults and senior citizens) prefer a robot with a more human or mechanical face, or something in between.
The results are interesting, as they reveal not just different preferences for each age group but also for the job the robot is assigned–which might offer some insights for how to design more advanced robots that people will feel comfortable using.
Researchers found that, generally, the majority of college students surveyed preferred faces that look more robotic, while older study participants gravitated toward human-like faces.
Their preferences changed somewhat depending on what the robot was helping with, though. For example, for help in making decisions (like investing), younger people preferred a face with an in-between human/robot look. The study also found that for a robot that could help with personal care (like taking a bath), people surveyed either wanted it to look very robotic to preserve their privacy or extremely human since that would make the robot seem more caring or trustworthy. Nobody seemed to care what a robot that helped with chores looked like, however.
The paper, written by graduate student Akanksha Prakash and psychology professor Wendy Rogers, is being presented at the annual meeting of the Human Factors and Ergonomics Society in San Diego this week.
Geoffrey Hinton tells us why he’s now scared of the tech he helped build
“I have suddenly switched my views on whether these things are going to be more intelligent than us.”
Meet the people who use Notion to plan their whole lives
The workplace tool’s appeal extends far beyond organizing work projects. Many users find it’s just as useful for managing their free time.
Learning to code isn’t enough
Historically, learn-to-code efforts have provided opportunities for the few, but new efforts are aiming to be inclusive.
Deep learning pioneer Geoffrey Hinton has quit Google
Hinton will be speaking at EmTech Digital on Wednesday.
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.