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Giving human touch to Alexa or Siri can backfire

Giving human touch to Alexa or Siri can backfire

Giving human touch to Alexa or Siri can backfire
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By IANS  Apr 21, 2019 1:26:17 PM IST (Updated)

Just giving a chatbot human name or adding human-like features to its avatar might not be enough to win over a user if the device fails to maintain a conversational back-and-forth with that person.

An Indian American researcher-led team has found that giving a human touch to chatbots like Apple Siri or Amazon Alexa may actually disappoint users.

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Just giving a chatbot human name or adding human-like features to its avatar might not be enough to win over a user if the device fails to maintain a conversational back-and-forth with that person, according to S  Shyam Sundar, Co-director of Media Effects Research Laboratory at Pennsylvania State University.
"People are pleasantly surprised when a chatbot with fewer human cues has higher interactivity," said Sundar.
"But when there are high human cues, it may set up your expectations for high interactivity - and when the chatbot doesn't deliver that - it may leave you disappointed," he added.
In fact, human-like features might create a backlash against less responsive human-like chatbots.
During the study, Sundar found that chatbots that had human features -- such as a human avatar -- but lacked interactivity, disappointed people who used it.
However, people responded better to a less-interactive chatbot that did not have human-like cues.
High interactivity is marked by swift responses that match a user's queries and feature a threaded exchange that can be followed easily.
According to Sundar, even small changes in the dialogue, like acknowledging what the user said before providing a response, can make the chatbot seem more interactive.
Because there is an expectation that people may be leery of interacting with a machine, developers typically add human names to their chatbots -- for example, Apple's Siri -- or programme a human-like avatar to appear when the chatbot responds to a user.
The researchers, who published their findings in the journal Computers in Human Behavior, also found that just mentioning whether a human or a machine is involved -- or, providing an identity cue -- guides how people perceive the interaction.
For the study, the researchers recruited 141 participants through Amazon Mechanical Turk, a crowd-sourced site that allows people to get paid to participate in studies.
Sundar said the findings could help developers improve acceptance of chat technology among users.
"There's a big push in the industry for chatbots," said Sundar.
"They're low-cost and easy-to-use, which makes the technology attractive to companies for use in customer service, online tutoring and even cognitive therapy -- but we also know that chatbots have limitations," he added.
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