Hey Alexa, Who Am I Talking to?: Analyzing Users’ Perception and Awareness Regarding Third-party Alexa Skills

Sabir, Aafaq; Lafontaine, Evan; Das, Anupam

doi:10.1145/3491102.3517510

Cited by 9 publications

(4 citation statements)

References 22 publications

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“…A recurring example of this is the belief by users that VAs are actively listening all of the time, and events such as false activations during normal conversations (and the resulting recordings) often cast further doubt that vendors are acting in good faith [31]. Furthermore, users often believe that all skills for the Alexa platform are produced by Amazon [38]; if users…”

Section: Privacy and Security Concerns With Voice Assistantsmentioning

confidence: 99%

Legal Obligation and Ethical Best Practice: Towards Meaningful Verbal Consent for Voice Assistants

Seymour

Coté

Such

2023

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

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Section: Privacy and Security Concerns With Voice Assistantsmentioning

confidence: 99%

Legal Obligation and Ethical Best Practice: Towards Meaningful Verbal Consent for Voice Assistants

Seymour

Coté

Such

2023

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

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“…3) Security: The IoT also gives rise to a range of security issues [84], [85], [86], [87], [27], [82], [88]. IoT deployments may comprise a large number of different devices (perhaps manufactured by a range of organisations, with some having more stringent security practices than others), and thus potentially introducing numerous possible points of failure [9].…”

Section: A Specific User Concernsmentioning

confidence: 99%

A Room With an Overview: Toward Meaningful Transparency for the Consumer Internet of Things

Norval,

Singh

2024

IEEE Internet Things J.

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As our physical environments become ever-more connected, instrumented and automated, it can be increasingly difficult for users to understand what is happening within them and why. This warrants attention; with the pervasive and physical nature of the IoT comes risks of data misuse, privacy, surveillance, and even physical harm. Such concerns come amid increasing calls for more transparency surrounding technologies (in general), as a means for supporting scrutiny and accountability. This paper explores the practical dimensions to transparency mechanisms within the consumer IoT. That is, we consider how smart homes might be made more meaningfully transparent, so as to support users in gaining greater understanding, oversight, and control. Through a series of three user-centric studies, we (i) survey prospective smart home users to gain a general understanding of what meaningful transparency within smart homes might entail; (ii) identify categories of user-derived requirements and design elements (design features for supporting smart home transparency) that have been created through two co-design workshops; and (iii) validate these through an evaluation with an altogether new set of participants. In all, these categories of requirements and interface design elements provide a foundation for understanding how meaningful transparency might be achieved within smart homes, and introduces several wider considerations for doing so.

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Section: Privacy and Security Concerns With Voice Assistantsmentioning

confidence: 99%

Legal Obligation and Ethical Best Practice: Towards Meaningful Verbal Consent for Voice Assistants

Seymour,

Cote,

Such

2023

Preprint

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To improve user experience, Alexa now allows users to consent to data sharing via voice rather than directing them to the companion smartphone app. While verbal consent mechanisms for voice assistants (VAs) can increase usability, they can also undermine principles core to informed consent. We conducted a Delphi study with experts from academia, industry, and the public sector on requirements for verbal consent in VAs. Candidate requirements were drawn from the literature, regulations, and research ethics guidelines that participants rated based on their relevance to the consent process, actionability by platforms, and usability by end-users, discussing their reasoning as the study progressed. We highlight key areas of (dis)agreement between experts, deriving recommendations for regulators, skill developers, and VA platforms towards crafting meaningful verbal consent mechanisms. Key themes include approaching permissions according to the user's ability to opt-out, minimising consent decisions, and ensuring platforms follow established consent principles. CCS CONCEPTS• Security and privacy → Social aspects of security and privacy; Usability in security and privacy; • Human-centered computing → Natural language interfaces; • Applied computing → Law.

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Hey Alexa, Who Am I Talking to?: Analyzing Users’ Perception and Awareness Regarding Third-party Alexa Skills

Cited by 9 publications

References 22 publications

Legal Obligation and Ethical Best Practice: Towards Meaningful Verbal Consent for Voice Assistants

Legal Obligation and Ethical Best Practice: Towards Meaningful Verbal Consent for Voice Assistants

A Room With an Overview: Toward Meaningful Transparency for the Consumer Internet of Things

Legal Obligation and Ethical Best Practice: Towards Meaningful Verbal Consent for Voice Assistants

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