Michele Masterson

Nagoya University, Fujitsu Create Technology to Detect Over Trust Situations Based on Voice Pitch and Level

Nagoya University and Fujitsu have developed what they say is the world’s first technology to analyze phone conversations that automatically detect situations in which one party might “over trust” scammers.

Over trust, the organizations said, might involve in a situation in which an individual may have a diminished capacity and can’t objectively evaluate an explanation being given another party. Nagoya University and Fujitsu created a function that, by detecting changes in voice pitch and level, is able to infer situations of over trust on the part of the intended victim when overwhelmed by distressing information from a fraudster.

Nagoya University and Fujitsu have also developed basic technology for detecting remittance-soliciting phone phishing scams by combining this technology for detecting situations of over trust from voices over the phone with the detection of characteristic keywords. The technology uses a keyword list provided by The National Police Academy and recordings of actual remittance-solicitation phone scams.

 

“There are limits to human powers of perception and judgment,” the researchers said. “When overwhelmed with information that may be distressing, some individuals, without knowing it, may have a diminished capacity to objectively evaluate information provided by another party—a situation known as “over trust.” In situations of over trust, there is the risk of believing everything another person is saying, even in cases of remittance-soliciting phone phishing scams, for example. In order to prevent such scams, there is a need to detect such situations and provide appropriate support.”

 

The organizations said that in cases of remittance-solicitation phone phishing scams, a perpetrator might pretend to be an acquaintance of the victim or a person, or be in a position of authority, such as a police officer or lawyer. Nagoya University and Fujitsu developed a function using word spotting voice recognition technology to identify when the suspected perpetrator uses special keywords from a pre-registered list, such as “indebtedness” or “compensation.” The function using word spotting voice recognition technology, which ignores everything except the keywords on the pre-registered list, detects the number of times keywords relating to remittance-solicitation scams are spoken.

The university and Fujitsu said that they will continue verification testing of the technology using mobile phones with the technology for detecting remittance-solicitation phone scams. The organizations are collaborating with The National Police Academy and The Bank of Nagoya.