"Play PRBLMS"

Springer, Aaron; Cramer, Henriette

doi:10.1145/3173574.3173870

Cited by 17 publications

(6 citation statements)

References 30 publications

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“…Several papers have explored users' patterns of everyday use with common voice assistants like Alexa, Siri, and the Google Assistant [3,44,66,70]. Others have considered usability challenges faced by natural language processing errors [58,74], and future use scenarios such as leveraging speech to navigate videos [13] or promote workplace reflection [36]. There have also been efforts to establish a more theoretical or vision-setting perspective on voice technology: for example, Cohen et al [18] and Shneiderman [72] have weighed in on the merits of voice as an interaction medium, while Murad et al [56] proposed an initial set of design guidelines for voice interfaces.…”

Section: Introductionmentioning

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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Section: Introductionmentioning

confidence: 99%

One Voice Fits All?

Cambre

Kulkarni

2019

Proc. ACM Hum.-Comput. Interact.

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“…Indeed, there has been a growing interest in voice-based interaction at CHI (e.g. papers [61,76,82], courses [57±60], workshops [54,56], and panels [55]). However, evaluation methods have not evolved in line with the advances made in voice output, and so less attention has been paid to properties of voice beyond intelligibility and naturalness [2].…”

Section: Introductionmentioning

confidence: 99%

Voice as a Design Material

Sutton

Foulkes

Kirk

et al. 2019

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

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While there is a renewed interest in voice user interfaces (VUI) in HCI, little attention has been paid to the design of VUI voice output beyond intelligibility and naturalness. We draw on the ield of sociophonetics-the study of the social factors that inluence the production and perception of speech-to highlight how current VUIs are based on a limited and homogenised set of voice outputs. We argue that current systems do not adequately consider the diversity of peoples' speech, how that diversity represents sociocultural identities, and how voices have the potential to shape user perceptions and experiences. Ultimately, as other technological developments have inluenced the ideologies of language, the voice outputs of VUIs will inluence the ideologies of speech. Based on our argument, we pose three design strategies for VUI voice output designindividualisation, context awareness, and diversiication-to motivate new ways of conceptualising and designing these technologies. CCS CONCEPTS • Human-centered computing → HCI theory, concepts and models; Sound-based input / output.

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“…Most current research on DPAs focuses on empirical studies investigating how digital personal assistants are used and perceived (Leahu et al 2013, Porcheron et al 2018, Pradhan et al 2018, Pyae & Joelsson 2018, Wulf et al 2014, the challenges surrounding speech interaction (Hong & Findlater 2018, Murad et al 2018, Myers et el. 2018, Springer & Cramer 2018, how to evaluate voiceinterfaces (Ghosh et al 2018, Hura 2017, as well as exploring DPAs future design considerations (Danielescu & Christian 2018, Fitton et al 2018, McGregor & Tang 2017, Vtyurina & Fourney 2018. Porcheron et al (2018) define a DPA as "embodying the idea of a virtual butler that helps you 'get things done'".…”

Section: Digital Personal Assistantsmentioning

confidence: 99%

“…The focus has often been on empirical studies investigating how DPAs are used and perceived by people (Leahu et al 2013, Porcheron et al 2018, Pradhan et al 2018, Purington et al 2017, Pyae & Joelsson 2018, Wulf et al 2014. Other studies focus on the challenges of speech interaction (Hong & Findlater 2018, Murad et al 2018, Myers et al 2018, Springer & Cramer 2018, for example, the challenges with specific types of words and named content, as well as how users overcome speech recognition errors. Speech interactions are also difficult to evaluate, as established techniques, like thinking aloud does not apply well due to the nature of speech interaction.…”

Section: Digital Personal Assistantsmentioning

confidence: 99%

Can digital personal assistants persuade people to exercise?

Paay

Kjeldskov²,

Papachristos³

et al. 2020

Behaviour & Information Technology

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Digital personal assistants (DPAs) have recently grown in popularity because they are both a commercially available new technology and reasonably affordable to the average household. This opens opportunities for new ways to assist people in everyday activities in their homes through voice-interaction. Physical activity has significant health benefits, and yet globally, 1 in 4 adults are not active enough. To address this, we investigate the persuasive potential of DPAs in increasing people's physical activity at home. We conducted a study with 48 participants to understand the effect of applying three of Fogg's persuasive principles to the design of a DPA exercise program: Suggestion, Virtual Reward, and Praise. Our findings show that DPAs have the potential, within their current technical and reactive capabilities, to persuade people to increase their physical activity at home, using Suggestion to encourage physical effort, Virtual Reward to encourage endurance, and Praise to create reassurance for beginners. Based on this, we offer three alternate perspectives for developing persuasive DPAs. We also discuss limitations of the study and suggest future research directions around using persuasion with DPAs.

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"Play PRBLMS"

Cited by 17 publications

References 30 publications

One Voice Fits All?

One Voice Fits All?

Voice as a Design Material

Can digital personal assistants persuade people to exercise?

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