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Alexa, Who Am I Speaking To?: Understanding Users’ Ability to Identify Third-Party Apps on Amazon Alexa

Authors:

Danny Yuxing Huang,

Marshini Chetty,

Nick FeamsterAuthors Info & Claims

ACM Transactions on Internet Technology (TOIT), Volume 22, Issue 1

Article No.: 11, Pages 1 - 22

https://doi.org/10.1145/3446389

Published: 14 September 2021 Publication History

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Abstract

Many Internet of Things devices have voice user interfaces. One of the most popular voice user interfaces is Amazon’s Alexa, which supports more than 50,000 third-party applications (“skills”). We study how Alexa’s integration of these skills may confuse users. Our survey of 237 participants found that users do not understand that skills are often operated by third parties, that they often confuse third-party skills with native Alexa functions, and that they are unaware of the functions that the native Alexa system supports. Surprisingly, users who interact with Alexa more frequently are more likely to conclude that a third-party skill is a native Alexa function. The potential for misunderstanding creates new security and privacy risks: attackers can develop third-party skills that operate without users’ knowledge or masquerade as native Alexa functions. To mitigate this threat, we make design recommendations to help users better distinguish native functionality and third-party skills, including audio and visual indicators of native and third-party contexts, as well as a consistent design standard to help users learn what functions are and are not possible on Alexa.

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Cited By

Reddy ALikhitha JAlla YReeja S(2024)AI-Powered Laptop Companions: Bridging the Human-Machine Gap2024 4th International Conference on Data Engineering and Communication Systems (ICDECS)10.1109/ICDECS59733.2023.10503472(1-6)Online publication date: 22-Mar-2024
https://doi.org/10.1109/ICDECS59733.2023.10503472
Mari AMandelli AAlgesheimer R(2024)Empathic voice assistants: Enhancing consumer responses in voice commerceJournal of Business Research10.1016/j.jbusres.2024.114566175(114566)Online publication date: Mar-2024
https://doi.org/10.1016/j.jbusres.2024.114566
Gardecki ARut JKlin BPodpora MBeniak R(2023)Implementation of a Hybrid Intelligence System Enabling the Effectiveness Assessment of Interaction Channels Use in HMISensors10.3390/s2308382623:8(3826)Online publication date: 8-Apr-2023
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Index Terms

Alexa, Who Am I Speaking To?: Understanding Users’ Ability to Identify Third-Party Apps on Amazon Alexa
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
      1. User studies
2. Security and privacy
  1. Human and societal aspects of security and privacy
    1. Usability in security and privacy

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Published In

cover image ACM Transactions on Internet Technology

ACM Transactions on Internet Technology Volume 22, Issue 1

February 2022

717 pages

ISSN:1533-5399

EISSN:1557-6051

DOI:10.1145/3483347

Editor:
Ling Liu
Georgia Institute of Technology, USA

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Copyright © 2021 Association for Computing Machinery.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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New York, NY, United States

Publication History

Published: 14 September 2021

Accepted: 01 December 2020

Revised: 01 November 2020

Received: 01 June 2020

Published in TOIT Volume 22, Issue 1

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Cited By

Reddy ALikhitha JAlla YReeja S(2024)AI-Powered Laptop Companions: Bridging the Human-Machine Gap2024 4th International Conference on Data Engineering and Communication Systems (ICDECS)10.1109/ICDECS59733.2023.10503472(1-6)Online publication date: 22-Mar-2024
https://doi.org/10.1109/ICDECS59733.2023.10503472
Mari AMandelli AAlgesheimer R(2024)Empathic voice assistants: Enhancing consumer responses in voice commerceJournal of Business Research10.1016/j.jbusres.2024.114566175(114566)Online publication date: Mar-2024
https://doi.org/10.1016/j.jbusres.2024.114566
Gardecki ARut JKlin BPodpora MBeniak R(2023)Implementation of a Hybrid Intelligence System Enabling the Effectiveness Assessment of Interaction Channels Use in HMISensors10.3390/s2308382623:8(3826)Online publication date: 8-Apr-2023
https://doi.org/10.3390/s23083826
Bispham MSattar SZard CFerrer-Aran XEdu JSuarez-Tangil GSuch J(2023)Misinformation in Third-party Voice ApplicationsProceedings of the 5th International Conference on Conversational User Interfaces10.1145/3571884.3604307(1-6)Online publication date: 19-Jul-2023
https://dl.acm.org/doi/10.1145/3571884.3604307
Long YLuo XZhu YLee KWang S(2023)Data Transparency Design in Internet of Things: A Systematic ReviewInternational Journal of Human–Computer Interaction10.1080/10447318.2023.2228997(1-23)Online publication date: 18-Jul-2023
https://doi.org/10.1080/10447318.2023.2228997
Malkin NWagner DEgelman SChiasson SKapadia A(2022)Runtime permissions for privacy in proactive intelligent assistantsProceedings of the Eighteenth USENIX Conference on Usable Privacy and Security10.5555/3563609.3563643(633-651)Online publication date: 8-Aug-2022
https://dl.acm.org/doi/10.5555/3563609.3563643
Natatsuka AIijima RWatanabe TAkiyama MSakai TMori T(2022)Understanding the Behavior Transparency of Voice Assistant Applications Using the ChatterBox FrameworkProceedings of the 25th International Symposium on Research in Attacks, Intrusions and Defenses10.1145/3545948.3545970(143-159)Online publication date: 26-Oct-2022
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Bispham MZard CSattar SFerrer-Aran XSuarez-Tangil GSuch J(2022)Leakage of Sensitive Information to Third-Party Voice ApplicationsProceedings of the 4th Conference on Conversational User Interfaces10.1145/3543829.3544520(1-4)Online publication date: 26-Jul-2022
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Le THuang DApthorpe NTian Y(2022)SkillBot: Identifying Risky Content for Children in Alexa SkillsACM Transactions on Internet Technology10.1145/353960922:3(1-31)Online publication date: 25-Jul-2022
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Sabir ALafontaine EDas A(2022)Hey Alexa, Who Am I Talking to?: Analyzing Users’ Perception and Awareness Regarding Third-party Alexa SkillsProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517510(1-15)Online publication date: 29-Apr-2022
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