A trash talking robot hurling ‘mild insults’ was able to put humans off their stride

Robo-troll! Scientists create trash-talking robot that hurls insults at people to make them worse at playing video games – showing that it’s not just humans who can throw us off our game

  • The robot was programmed to use a number of ‘mild insults’ when playing
  • One of the insults the robot was told to say was ‘you are a terrible player’
  • Researchers found that when the robot was abusive players performed worse
  • The team used a commercially available robot called Pepper for the study 

Trash talk has been part of sport and human competition for as long as people have been competitive, but now robots are getting in on the game.

Researchers from Carnegie Mellon University programmed a robot called Pepper to use mild insults such as ‘you are a terrible player’ and ‘your playing has become confused’.

It would then use these insults while challenging a human to a game called ‘Guards and Treasures’ that is designed to test rationality.

Even though the robot used very mild language, the human player’s performance got worse while they were being insulted, according to lead author Aaron M. Roth.

The team say tests like this could help work out how humans will respond in future if a robot assistant disagrees with a command, such as over whether to buy healthy or unhealthy food. 

The team used a commercially available humanoid robot called Pepper that is produced by SoftBank Robotics (pictured). They used a game designed to test rationality and had the robot abuse and praise its competitors

Some of the participants had enough technical knowledge to understand the insults had been pre-programmed into the robot.  

“One participant said, ‘I don’t like what the robot is saying, but that’s the way it was programmed so I can’t blame it,’” said Mr Roth.

But the researchers found that, overall, human performance changed in response to the robot’s comments regardless of technical sophistication.

‘This is one of the first studies of human-robot interaction in an environment where they are not cooperating,” said Fei Fang, one of the report’s authors.

She said it could have ‘enormous implications’ for a world where robots and internet of things devices with artificial intelligence is expected to grow exponentially.

‘We can expect home assistants to be cooperative, but in situations such as online shopping, they may not have the same goals as we do.’

This could include taking our health needs into account over our desire for an unhealthy treat.

Trash talking is a big part of the hype around sporting events, particularly boxing matches. Here boxers Canelo Alvarez (left) squares off against Gennady Golovkin during a news conference to announce a fight in 2018

Trash talking is a big part of the hype around sporting events, particularly boxing matches. Here boxers Canelo Alvarez (left) squares off against Gennady Golovkin during a news conference to announce a fight in 2018

The team used a commercially available humanoid robot called Pepper that is produced by SoftBank Robotics. 

Pepper is designed with the ability to read emotions and can be programmed by users to perform certain tasks, which the team say made it perfect for this study.

There were 40 participants and they each played the game 35 times with the Pepper while either being encouraged subjected to insults by the device.

Pepper (pictured) is able to detect emotions in humans it is talking to, which makes it perfect for a study designed to test human response to robotic insults say researchers

Pepper (pictured) is able to detect emotions in humans it is talking to, which makes it perfect for a study designed to test human response to robotic insults say researchers

Although the human players’ score improved with the number of games they played, those who were criticised didn’t score as well as those who were praised. 

‘It has already been shown that humans are affected by what other people say, but this study shows that humans also respond to what a machine says about them’, according to Afsaneh Doryab, a researcher on the study.

‘This machine’s ability to prompt responses could have implications for automated learning, mental health treatment and even the use of robots as companions.’ 

The team hope to look at nonverbal expression between robots and humans as well as whether people would react differently to a humanoid robot than a computer box in future studies.

WHAT ARE PEPPER ROBOTS?

Emotion-reading robots called ‘Pepper’ have been designed by Japanese company Softbank Robotics.

The expressive humanoid is designed to identify and react to human emotions.

Equipped with cameras and sensors the robots are 4ft (1.2 metres) tall and weigh 62lb (28kg).

They can react to human emotions by offering comfort or laughing if told a joke.

Developers say the robots can understand 80 per cent of conversations.

They also have the ability to learn from conversations in both Japanese and English. 

They have already been used in a number of places, including banks, shops and hotels. 

In 2016 SoftBank replaced staff at a new phone store in Tokyo with 10 humanoid Pepper robots to give suggestions and answer questions from customers.

And in December, Nescafe hired 1,000 Pepper robots to work in home appliance stores across Japan to help customers looking for a Nespresso coffee machine. 

Last month another robot developed by Softbank Robotics was deployed at a hotel on Lake Garda.

Named Robby Pepper, the robot has been taught a list of questions such as the locations of the spa and restaurants and their opening hours.

In September 2018, these robots are going to be used to helped look after elderly people in the UK. 

The firm says the humanoid companions have been programmed to recognise the needs of residents.

Tablets on the robots’ chests mean residents can Skype call people, watch or listen to something, or be reminded when to take pills. 

These robots represent an expansion in automation, but one that is likely to be scaled up only when better artificial intelligence is developed.

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