"Alexa is my new BFF"

Purington, Amanda; Taft, Jessie G.; Sannon, Shruti; Bazarova, Natalya N.; Taylor, Samuel Hardman

doi:10.1145/3027063.3053246

Cited by 342 publications

(111 citation statements)

References 13 publications

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“…For instance, vocal quality clearly maps to work on speech synthesis, where developing more human-like, expressive [1], emotive [39] and personality-filled [51] voices is currently underway. User research has also focused on exploring the role of humanness in partner knowledge assumptions [15], vocal quality [16,37], partner identity [4], linguistic content [13] and conversational interactivity [13,45]. Our work not only identifies the important dimensions of humanness when considering user perceptions, but formalises intuitions by researchers on the types of design decisions that may affect these perceptions.…”

Section: Discussionmentioning

confidence: 98%

“…This humanness seems to give users expectations as to the type of capabilities that a system may have as a dialogue partner [36,38]. Indeed, incongruence between expectations derived from humanness cues and the realities of interacting with speech-based systems is detrimental to speech interface user experience [17,38,40,45]. Qualitative work investigating the user experience of speech-based IPAs for both power users [38] and infrequent users [17], found that they seem to initially use human dialogue as a metaphor for interaction.…”

Section: Related Workmentioning

confidence: 99%

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Mapping Perceptions of Humanness in Intelligent Personal Assistant Interaction

Doyle

Edwards

Dumbleton

et al. 2019

Proceedings of the 21st International Conference on Human-Computer Interaction With Mobile Devices and Services

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Humanness is core to speech interface design. Yet little is known about how users conceptualise perceptions of humanness and how people define their interaction with speech interfaces through this. To map these perceptions n=21 participants held dialogues with a human and two speech interface based intelligent personal assistants, and then reflected and compared their experiences using the repertory grid technique. Analysis of the constructs show that perceptions of humanness are multidimensional, focusing on eight key themes: partner knowledge set, interpersonal connection, linguistic content, partner performance and capabilities, conversational interaction, partner identity and role, vocal qualities and behavioral affordances. Through these themes, it is clear that users define the capabilities of speech interfaces differently to humans, seeing them as more formal, fact based, impersonal and less authentic. Based on the findings, we discuss how the themes help to scaffold, categorise and target research and design efforts, considering the appropriateness of emulating humanness.

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Section: Discussionmentioning

confidence: 98%

Section: Related Workmentioning

confidence: 99%

Mapping Perceptions of Humanness in Intelligent Personal Assistant Interaction

Doyle

Edwards

Dumbleton

et al. 2019

Proceedings of the 21st International Conference on Human-Computer Interaction With Mobile Devices and Services

View full text Add to dashboard Cite

show abstract

“…Finally, other research has considered the design of voice interfaces through an ethnomethodological perspective. Such studies have considered the everyday, naturalistic usage of common voice assistants like Alexa and Google, focusing on common use cases, elements of anthropomorphism, and use in family or other multi-user contexts, especially through conversational analysis [3,8,66,68,70]. Such a perspective suggests that "conversations" with voice devices are qualitatively distinct from conversations among humans.…”

Section: Ethnomethodologies Of Voice Interactionmentioning

confidence: 99%

One Voice Fits All?

Cambre

Kulkarni

2019

Proc. ACM Hum.-Comput. Interact.

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When a smart device talks, what should its voice sound like? Voice-enabled devices are becoming a ubiquitous presence in our everyday lives. Simultaneously, speech synthesis technology is rapidly improving, making it possible to generate increasingly varied and realistic computerized voices. Despite the flexibility and richness of expression that technology now affords, today's most common voice assistants often have female-sounding, polite, and playful voices by default. In this paper, we examine the social consequences of voice design, and introduce a simple research framework for understanding how voice affects how we perceive and interact with smart devices. Based on the foundational paradigm of computers as social actors, and informed by research in human-robot interaction, this framework demonstrates how voice design depends on a complex interplay between characteristics of the user, device, and context. Through this framework, we propose a set of guiding questions to inform future research in the space of voice design for smart devices. CCS Concepts: • Human-centered computing → HCI theory, concepts and models.

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“…Prior research indicates that people tend to adapt how they interact with conversational agents depending on whether these are perceived as humanlike (Purington, Taft, Sannon, Bazarova, & Taylor, 2017). An impersonal character displayed in a lack of self-disclosure by the chatbot may affect such perceptions.…”

Section: Personal and Pleasant?mentioning

confidence: 99%

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2019

Human Technology

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"Alexa is my new BFF"

Cited by 342 publications

References 13 publications

Mapping Perceptions of Humanness in Intelligent Personal Assistant Interaction

Mapping Perceptions of Humanness in Intelligent Personal Assistant Interaction

One Voice Fits All?

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