Do Smart Speakers Respond to Their Errors Properly? A Study on Human-Computer Dialogue Strategy

Ge, Xiang; Li, Dan; Guan, Daisong; Xu, Shihui; Sun, Yanyan; Zhou, Moli

doi:10.1007/978-3-030-23541-3_32

Cited by 9 publications

(3 citation statements)

References 29 publications

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“…Studies have suggested that user interactions with IPAs include humor, both intentional, when a user requests a joke (Lopatovska, et al, 2019; Bentley et al, 2018; Beirl et al, 2019), and unintentional, when IPA uses humorous responses to compensate for its limitations (Ge et al, 2019) and/or develop a bond with the user (Knight, 2012). Users often find misunderstandings with IPAs and the incongruent nature of IPA responses amusing (Beirl et al, 2019).…”

Section: Literature Reviewmentioning

confidence: 99%

Assessing user reactions to intelligent personal assistants’ humorous responses

Lopatovska

Korshakova

Kubert

2020

Proc Assoc Inf Sci Technol

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The paper reports on the study that developed a classification of humorous interactions with intelligent personal assistants (IPAs) and applied the classification to compare four IPAs, Apple Siri, Google Assistant, Amazon Alexa and Microsoft Cortana, on their humor performance. The study relied on volunteer participants recruited through traditional academic channels (e.g. mailing lists) as well as Amazon Mechanical Turk (AMT). While AMT and non‐AMT participants differed on some demographic characteristics, their overall ratings of IPA humor were not significantly different and were analyzed jointly using descriptive and inferential statistics. The results revealed that Apple Siri and Google Assistant received higher average ratings on humorous IPA responses compared to Amazon Alexa and Microsoft Cortana. IPA responses to joke requests were judged as being funnier than IPA responses to questions related to the IPA's personality, rhetorical statements and other humor types. Consistent with previous studies on humor, our findings did not demonstrate strong relationships between select user demographics (age, gender and humor style) and their ratings of humorous IPA responses.

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Section: Literature Reviewmentioning

confidence: 99%

Assessing user reactions to intelligent personal assistants’ humorous responses

Lopatovska

Korshakova

Kubert

2020

Proc Assoc Inf Sci Technol

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“…This can include the use of puns, sarcasm, irony, or other forms of wordplay, as well as visual or audio cues that are intended to be amusing. CAs often use humor in an attempt to keep users engaged and entertained and compensate for performance limitations [19,21,34]. Just like human-human conversations, incorporating humor into interactions with CAs has been shown to enhance the user experience [44,47].…”

mentioning

confidence: 99%

“…In this sense, it is important to acknowledge that humor is a complex phenomenon that can even be challenging to grasp among humans [47,49]. This makes specifying and developing computational humor a highly difficult task [19]. But are technical limitations the main reason humor is not embraced more in CAs?…”

mentioning

confidence: 99%

“Funny How?” A Serious Look at Humor in Conversational Agents

Zargham

Avanesi

Reicherts

et al. 2023

Proceedings of the 5th International Conference on Conversational User Interfaces

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Conversational agents are rapidly advancing in terms of their capabilities and human likeness -both of which are intended to enhance the user experience and engagement. One human quality that can potentially increase trust and likeability is humor. However, what is considered humorous and what is not depends on many contextual and personal factors that are not only difficult for machines to detect, but even humans are still struggling to understand them. This makes training AI to be humorous highly challenging. But is this due only to the technical limitations? In this provocation paper, we discuss the hindrances to utilizing humor in commercial conversational agents and propose addressing this topic from a social and political perspective. CCS CONCEPTS• Human-centered computing → Natural language interfaces.

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