Understanding the Role of Privacy and Trust in Intelligent Personal Assistant Adoption

Liao, Yuting; Vitak, Jessica; Kumar, Priya; Zimmer, Michael; Kritikos, Katherine

doi:10.1007/978-3-030-15742-5_9

Cited by 79 publications

(86 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…With a rise in information science and human-computer interaction, various social dimensions have been explored with the usage of voice assistances (Liao, Vitak, Kumar, Zimmer, & Kritikos, 2019). The uncertainty of how VAs work raises implications for privacy and security, since these devices rely on collecting and processing potentially sensitive data from users in a private setting (e.g., the home).…”

Section: Perceived Risk and Expvamentioning

confidence: 99%

“…Studies in the health care industry have expressed concern over electronic health records (Angst & Agarwal, 2009), software firewalls (Kumar, Mohan, & Holowczak, 2008), and product risks (Bhatnagar & Ghose, 2004). With a rise in information science and human–computer interaction, various social dimensions have been explored with the usage of voice assistances (Liao, Vitak, Kumar, Zimmer, & Kritikos, 2019). The uncertainty of how VAs work raises implications for privacy and security, since these devices rely on collecting and processing potentially sensitive data from users in a private setting (e.g., the home).…”

Section: Theoretical Frameworkmentioning

confidence: 99%

See 1 more Smart Citation

An empirical study on anthropomorphism and engagement with disembodied AIs and consumers' re‐use behavior

Moriuchi

2020

Psychology and Marketing

103

View full text Add to dashboard Cite

The integration of artificial intelligence (AI) into the human race has gradually become a norm. AI entails technology assemblages such as machine learning, natural language processing, and reasoning. The influence of AI systems has intensified in consumers' daily lives. Many consumers have interacted with the notions of AI through advertisements or having personal experiences. Many consumers are curious about the use of AI. This paper reports three studies conducted to determine whether anthropomorphism (ANTH) and engagement play a role in consumers' intention to re-use a voice assistant (VA; a machine-learning AI). The second study will determine if ANTH and engagement play a role when consumers are using the VAs for different activities (task completion vs. information gathering). In addition, in Study 2, actual re-use behavior was also tested in the model, which encouraged a stronger overall model fit. The results show that in general effort expectation (EE) has a strong positive impact on consumers' usage experience of the VA. However, between the two types of activities, EE has a stronger impact on consumers' usage experience for information-gathering activities, whereas performance expectation has a stronger impact on usage experience when consumers use the VA for taskcompletion purposes. The third study used internet usage experience as a moderating variable to determine the boundaries of the mediating effects in the study. The results show that the mediators yield results similar to prior studies.

show abstract

Section: Perceived Risk and Expvamentioning

confidence: 99%

Section: Theoretical Frameworkmentioning

confidence: 99%

An empirical study on anthropomorphism and engagement with disembodied AIs and consumers' re‐use behavior

Moriuchi

2020

Psychology and Marketing

103

View full text Add to dashboard Cite

show abstract

“…Trust and privacy are identified across user groups as being a pervasive concern affecting adoption of VAPAs in daily life [1,4,11,19,22]. Speech recognition errors are known to degrade user trust [1].…”

Section: Trust and Privacymentioning

confidence: 99%

Reading Between the Guidelines

Branham

Roy

2019

The 21st International ACM SIGACCESS Conference on Computers and Accessibility

View full text Add to dashboard Cite

Voice-Activated Personal Assistants (VAPAs)-like Apple Siri and Amazon Alexa-have rapidly become common features on mobile devices and in homes of millions of people around the world. They have proven to be particularly valuable to people with disabilities, chiefly among people with visual impairments. Yet, we still know relatively little about the fundamental metaphors and guidelines for designing voice assistants, and how they might empower and constrain visually impaired users. To address this need, we conducted a qualitative document review of VAPA design guidelines published by top commercial vendors Amazon, Google, Microsoft, Apple and Alibaba. We found that guidelines have many commonalities that surface an underlying assumption that VAPA interfaces should be modeled after human-human conversation. We draw on prior work about needs of people with visual impairments to critique this taken-for-granted human-human conversation metaphor and offer amendments to prevailing design guidelines that can make this now-pervasive platform more fully achieve its potential to become universally usable.

show abstract

“…One important aspect that has received substantial attention in the media and academic literature is user privacy (Alepis and Patsakis 2017;Liao et al 2019). When operational, smart speakers remain in a continuous listening-mode, awaiting audio recognition of a designated "wake-word" to activate and begin interacting with the user.…”

Section: Introductionmentioning

confidence: 99%

Privacy and smart speakers: A multi-dimensional approach

Lutz

Newlands

2021

The Information Society

View full text Add to dashboard Cite

Over the last few years, smart speakers such as Amazon Echo and Google Home have become increasingly present within British households. Yet, privacy remains a prominent concern in the public discourse about smart speakers, as well as in the nascent academic literature. We argue that privacy in the context of smart speakers is more complex than in other settings due to smart speakers' specific technological affordances and also the axial relationships between users, the device, device manufacturers, application developers, and other third parties such as moderation contractors and data brokers. With survey data from Amazon Echo and Google Home users in the UK, we explore users' privacy concerns and privacy protection behaviors related to smart speakers. We rely on a contextual understanding of privacy, assessing the prevalence of seven distinct privacy concern types as well as three privacy protection behaviors. The results indicate that concerns about third parties, such as contractors listening to smart speaker recordings, are most pronounced. Privacy protection behaviors are uncommon but partly affected by privacy concerns and motives such as social presence and utilitarian benefits. Taken together, our research paints a picture of privacy pragmatism or privacy cynicism among smart speaker users.

show abstract

Understanding the Role of Privacy and Trust in Intelligent Personal Assistant Adoption

Cited by 79 publications

References 23 publications

An empirical study on anthropomorphism and engagement with disembodied AIs and consumers' re‐use behavior

An empirical study on anthropomorphism and engagement with disembodied AIs and consumers' re‐use behavior

Reading Between the Guidelines

Privacy and smart speakers: A multi-dimensional approach

Contact Info

Product

Resources

About