What can I say?

Corbett, Eric; Weber, Astrid

doi:10.1145/2935334.2935386

Cited by 120 publications

(42 citation statements)

References 28 publications

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“…Six speech systems were mobile applications or IPAs on smartphones, including existing mobile IPAs (e.g. Porcheron et al, 2017), and a mobile interface using speech input (Corbett & Weber, 2016). Four of the systems were vehicle-based systems, where studies examined the user responses to system speech within driving simulation tasks (e.g.…”

Section: Device Contextsmentioning

confidence: 99%

“…A number of system focused research papers explored the deployment of bespoke and prototypical systems. Corbett & Weber (2016), for example, conducted usability studies of a system designed specifically for motor-impaired users. Similar approaches were adopted in exploring speech interface systems for users with other specific accessibility requirements (e.g.…”

Section: Type Of Workmentioning

confidence: 99%

“…Two papers explored system prototypes designed for people with physical impairments. One of the papers assessed a speech interface with a smartphone (Corbett & Weber, 2016), finding that existing approaches in voice interaction design do not necessarily translate into mobile interaction spaces. The authors highlight the need to explore mobilespecific theories, rather than always borrowing those from desktop-based interaction.…”

Section: Assistive Technology and Accessibilitymentioning

confidence: 99%

“…We found few design papers in the ones reviewed (e.g. Corbett & Weber, 2016;Yankelovich et al, 1995). Approaches commonly used in interaction design research such as cultural probes (DeHaemer & Wallace, 1992), contextual inquiry (Holtzblatt & Jones, 1993), and participatory design more generally (Schuler & Namioka, 1993) tended not to be used in the research we reviewed.…”

Section: Speech Interaction Design Work Is Requiredmentioning

confidence: 99%

See 3 more Smart Citations

The State of Speech in HCI: Trends, Themes and Challenges

Clark

Doyle

Garaialde

et al. 2019

Interacting With Computers

145

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Speech interfaces are growing in popularity. Through a review of 68 research papers this work maps the trends, themes, findings and methods of empirical research on speech interfaces in HCI. We find that most studies are usability/theory-focused or explore wider system experiences, evaluating Wizard of Oz, prototypes, or developed systems by using self-report questionnaires to measure concepts like usability and user attitudes. A thematic analysis of the research found that speech HCI work focuses on nine key topics: system speech production, modality comparison, user speech production, assistive technology & accessibility, design insight, experiences with interactive voice response (IVR) systems, using speech technology for development, people's experiences with intelligent personal assistants (IPAs) and how user memory affects speech interface interaction. From these insights we identify gaps and challenges in speech research, notably the need to develop theories of speech interface interaction, grow critical mass in this domain, increase design work, and expand research from single to multiple user interaction contexts so as to reflect current use contexts. We also highlight the need to improve measure reliability, validity and consistency, in the wild deployment and reduce barriers to building fully functional speech interfaces for research. Author Keywords Speech interfaces; speech HCI; review; speech technology; voice user interfaces Research Highlights• Most papers focused on usability/theory-based or wider system experience research with a focus on Wizard of Oz and developed systems, though a lack of design work • Questionnaires on usability and user attitudes often used but few were reliable or validated • Thematic analysis showed nine primary research topics • Gaps in research critical mass, speech HCI theories, and multiple user contexts

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Section: Device Contextsmentioning

confidence: 99%

Section: Type Of Workmentioning

confidence: 99%

Section: Assistive Technology and Accessibilitymentioning

confidence: 99%

Section: Speech Interaction Design Work Is Requiredmentioning

confidence: 99%

See 2 more Smart Citations

The State of Speech in HCI: Trends, Themes and Challenges

Clark

Doyle

Garaialde

et al. 2019

Interacting With Computers

145

View full text Add to dashboard Cite

show abstract

“…For this reason, some older adults are enthusiastic about joining LivingLab ICT initiatives [7] despite some barriers to their involvement in ICT [6,10]. Although there are previous studies on VA usability [9], also with older adults in the context of SH [12] it is worth to further investigate this problem in multiple cultural contexts in order to suggest how to make Voice Interfaces more accessible [3] in general to facilitate different groups of older adults' interaction with ICT-enhanced solutions.…”

Section: Related Workmentioning

confidence: 99%

Older Adults and Voice Interaction

Kowalski

Jaskulska²,

Skorupska

et al. 2019

Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems

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In this paper we present the results of an exploratory study examining the potential of voice assistants (VA) for some groups of older adults in the context of Smart Home Technology (SHT). To research the aspect of older adults' interaction with voice user interfaces (VUI) we organized two workshops and gathered insights concerning possible benefits and barriers to the use of VA combined with SHT by older adults. Apart from evaluating the participants' interaction with the devices during the two workshops we also discuss some improvements to the VA interaction paradigm.

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Exploring the context of use for voice user interfaces: Toward context‐dependent user experience quality testing

Klein,

Deutschländer,

Kölln

et al. 2023

J Software Evolu Process

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Voice user interface (VUI) systems, such as Alexa, Siri, and Google Assistant, are popular and widely available. Still, challenges such as privacy and the ability to have a dialog remain. In the latter example, the user expects a human‐like conversation, that is, that the VUI understands the dialog and its context. However, this VUI feature of context‐aware interaction is rather error prone. For this reason, we intend to explore the VUI context of use and its impact on interaction, that is, relevant user experience (UX). We see a demand for context‐dependent UX measurement because analyzing the context of use and UX assessment are both critical human‐centered design (HCD) methods. Therefore, we examine the VUI context of use by asking users about how, where, and for what they use VUIs, as well as their UX and improvement proposals. We interviewed people with disabilities who rely on VUIs and people without disabilities who use VUIs for convenience or fun. We identified VUI context‐of‐use categories and factors and explored their impacts on relevant UX qualities. Our result is a matrix containing these elements; thus, it provides an overview of the contextual UX of our target group's VUI interaction. We intend to develop a VUI context‐of‐use conceptual structure in the future based on this matrix, which is needed to create an automated context‐dependent UX measurement recommendation tool for VUIs. This conceptual structure could also be useful for automated UX testing in the context of VUI.

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What can I say?

Cited by 120 publications

References 28 publications

The State of Speech in HCI: Trends, Themes and Challenges

The State of Speech in HCI: Trends, Themes and Challenges

Older Adults and Voice Interaction

Exploring the context of use for voice user interfaces: Toward context‐dependent user experience quality testing

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