This study examines humorous interactions with intelligent personal assistants (IPA/IPAs). The respective IPAs include Google Assistant, Amazon Alexa, Microsoft Cortana, and Apple Siri. Many discussions of a wide-ranging review helped to define the goal to classify user utterances, IPA responses, and user ratings of IPA responses.

Resulting user ratings and joke descriptions from online diaries and paper questionnaires. The content analysis method led the examination and categorization of this data.Findings suggest that users are disposed to question and test the IPAs. These tests attempt to help the user determine inherent characteristics and perspectives. In essence, users are interested in the personalities of these systems. Joke requests also appear with a high frequency. These requests are met with pre-programmed replies that users generally find funny.The published datasets not only validate but also expand upon the initial classification of humorous utterances. The findings can be applied in an effort to immediately improve IPA performance to alleviate user experiences. The study also supports the long-term development of IPA personas and algorithms.

Presentation

Research team: Dr. Irene Lopotovska, Katherine Curran, Armando Garcia, Mary Mann, Shannon Mish, Alexandra Srp, Sydney Stewart, Alanood Al Thani, Wanyi Wang

Special thanks to Alice Griffin

#infoshow Presenters: Katie Curran, Armando Garcia, Shannon Mish

Supported by: Wanyi Wang

Katie Curran

Katie Curran

Katherine Curran has just finished her master in Museums and Digital Culture at Pratt. Throughout her studies she focused on helpful applications of digitizations, honed her coding skills and found her passion for website usability.
Armando Garcia
Hello, I’m Armando. I’m based in NYC. I design rich information experiences to communicate the value of your brand, organization, product, or service.
Mary Mann
Mary Mann is an LIS student at Pratt, focusing on research & instructional services in archives and academic institutions. She works as a reference associate at the Brooklyn Historical Society, and her essays and articles have appeared in Smithsonian and The New York Times.
Mary Mann
Shannon Mish

Shannon Mish

Shannon is in the Museums and Digital Culture Program and set to graduate in May of 2019. She is the Digital Marketing Intern at the American Museum of Natural History, the Digital Engagement intern at the Rubin Museum of Art, and works with the ASK App at the Brooklyn Museum. She has interests in brand communications, visitor engagement, and film history.
Shannon Mish

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Alexandra Srp

Alexandra Srp

I am currently a graduate student at Pratt Institute's School of Information, working towards a degree in Library and Information Science as well as an advanced certificate in User Experience. Through my love for public libraries and user experience, I want to help people find information in more meaningful and effective ways.