Alexa, Siri, Cortana, and More: An Introduction to Voice Assistants

@article{Hoy2018AlexaSC,
  title={Alexa, Siri, Cortana, and More: An Introduction to Voice Assistants},
  author={Matthew B Hoy},
  journal={Medical Reference Services Quarterly},
  year={2018},
  volume={37},
  pages={81 - 88}
}
  • Matthew B Hoy
  • Published 2 January 2018
  • Computer Science
  • Medical Reference Services Quarterly
ABSTRACT Voice assistants are software agents that can interpret human speech and respond via synthesized voices. Apple’s Siri, Amazon’s Alexa, Microsoft’s Cortana, and Google’s Assistant are the most popular voice assistants and are embedded in smartphones or dedicated home speakers. Users can ask their assistants questions, control home automation devices and media playback via voice, and manage other basic tasks such as email, to-do lists, and calendars with verbal commands. This column will… 
Greeting, Function, and Music: How Users Chat with Voice Assistants
TLDR
The essence and construct of conversational AI is covered, a classification method to deal with user utterances is developed, and Chinese users like to interact with voice assistants at night from 7 PM to 10 PM, and they are polite toward the assistants.
Privacy Issues in Voice Assistant Ecosystems
TLDR
This work presents the types and location of such personal data artifacts within the ecosystems of three popular voice assistants, after having set up their own testbed, and using IoT forensic procedures.
User Experience Comparison of Intelligent Personal Assistants: Alexa, Google Assistant, Siri and Cortana
TLDR
An evaluation of these four smart personal assistants in two dimensions: the correctness of their answers and how natural the responses feel to users shows that Alexa and Google Assistant are significantly better than Siri and Cortana.
"Hey, Siri", "Ok, Google", "Alexa". Acceptance-Relevant Factors of Virtual Voice-Assistants
TLDR
A Choice-Based-Conjoint Analysis with three attributes and three levels each found out that not the price of a voice assistant is the most important factor for its acceptance, but privacy.
Browsing with Alexa: Interrogating the impact of voice assistants as web interfaces
TLDR
Three key issues that have to do with long-standing discussions about the social and political impact of the internet are focused on: the role of web platforms in shaping information access, the relationship between production and consumption online, and therole of affect in informing engagement with web resources.
On the Security and Privacy Challenges of Virtual Assistants
TLDR
There is a gap in the current state of the art in VA research, and no current literature reviews on the topic exist, which sheds light on future research directions, such as providing solutions to perform voice authentication without an external device, and the compliance of VAs with privacy regulations.
Algorithm Awareness as an Important Internet Skill: The Case of Voice Assistants
TLDR
This article focuses on people’s algorithm skills in the domain of voice assistants, and discusses the relevance of being aware of algorithms as one dimension of Internet skills.
It’s Time to Personalise the Voice: Designing for the Voice in Voice Technology
TLDR
While voice cloning can create a more personalised and natural experience for the user, voice identity can be a very sensitive topic and can cause serious problems if not developed correctly.
With One Voice: Composing a Travel Voice Assistant from Re-purposed Models
TLDR
This paper compares the achieved performance and development efforts in ded-icated tailor-made solutions against existing re-purposed models and shows that a fully functional Machine-Learning product can be built from existing models.
SeeSpeech: an Android application for the hearing impaired
TLDR
The SeeSpeech application implements an interface for a simple dialogue with a deaf or hearing-impaired person in different languages, integrating two APIs for transforming speech to text, making it a very competitive application in the arena of similar scope applications.
...
...

References

SHOWING 1-10 OF 14 REFERENCES
DolphinAttack: Inaudible Voice Commands
TLDR
A totally inaudible attack, DolphinAttack, that modulates voice commands on ultrasonic carriers to achieve inaudibility and is validated on popular speech recognition systems, including Siri, Google Now, Samsung S Voice, Huawei HiVoice, Cortana and Alexa.
Use of Google Translate in medical communication: evaluation of accuracy
TLDR
A complex and nuanced medical, ethical, and treatment discussion with patients whose knowledge of the local language is inadequate remains challenging.
Advances on natural language processing
Designing a spoken dialogue interface to an intelligent cognitive assistant for people with dementia
TLDR
Analysis of the focus group data showed that voice and interaction style should be chosen based on the preferences of the user, not those of the carer, and the intelligent cognitive assistant should be able to adapt to cognitive decline.
Windows Phone Is Dead, Long Live Microsoft’s Smartphone Dream.
  • Forbes (July
  • 2017
The Most Useful Skills for Google Home.
  • Digital Trends (May
  • 2017
How A Few Words to Apple’s Siri Unlocked a Man’s Front Door.
  • Forbes (September
  • 2016
Google Home Mini Flaw Left Smart Speaker Recording Everything.
  • ZDNet (October
  • 2017
Google Assistant on the iPhone Is Better than Siri, but Not Much.
  • Engadget (May
  • 2017
An Amazon Echo May Be the Key to Solving a Murder Case.
  • TechCrunch (December 27,
  • 2016
...
...