Hey Alexa ... examine the variables influencing the use of artificial intelligent in-home voice assistants

By Graeme McLean, Kofi Osei-Frimpong. Computers in Human Behavior, 2019

636 citations recorded by the source corpus.

Abstract Artificial Intelligent (AI) In-home Voice Assistants have seen unprecedented growth. However, we have little understanding on the factors motivating individuals to use such devices. Given the unique characteristics of the technology, in the main hands free, controlled by voice, and the presentation of a voice user interface, the current technology adoption models are not comprehensive enough to explain the adoption of this new technology. Focusing on voice interactions, this research combines the theoretical foundations of U> with technology theories to gain a clearer understanding on the motivations for adopting and using in-home voice assistants. This research presents a conceptual model on the use of voice controlled technology and an empirical validation of the model through the use of Structural Equation Modelling with a sample of 724 in-home voice assistant users. The findings illustrate that individuals are motivated by the (1) utilitarian benefits, (2) symbolic benefits and (3) social benefits provided by voice assistants, the results found that hedonic benefits only motivate the use of in-home voice assistants in smaller households. Additionally, the research establishes a moderating role of perceived privacy risks in dampening and negatively influencing the use of in-home voice assistants.

Subfields: Artificial Intelligence, Information Systems and Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/588a87fdf09069ffbf9a670d616b23826218e0b1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. V. Pitardi
2. Jesse Fox
3. Rabindra (robby) Ratan
4. Arun Ross
5. Hannah R. Marriott
6. Prabu David
7. Hyesun Choung

In Information Systems and Management

1. V. Pitardi
2. Jesse Fox
3. Arun Ross
4. Hannah R. Marriott
5. Prabu David
6. Hyesun Choung

In Sociology and Political Science

1. V. Pitardi
2. Jesse Fox
3. Rabindra (robby) Ratan
4. Arun Ross
5. Andrew Gambino
6. Hannah R. Marriott
7. Prabu David
8. Hyesun Choung

Citations in the corpus

• Alexa, she's not human but… Unveiling the drivers of consumers' trust in voice‐based artificial intelligence (2021, background): “This is particularly relevant in the interaction between humans and VAs as users are not naïve of privacy implications of using them (McLean & Osei ‐ Frimpong, 2019).”
• Trust in AI and Its Role in the Acceptance of AI Technologies (2022, methodology): “Voice assistants are designed to be more human-like (McLean & Osei-Frimpong, 2019), with their voice feature encouraging users to adopt the same social responses that they habitually use in their interpersonal relationships (Reeves & Nass, 1996).”
• Building a Stronger CASA: Extending the Computers Are Social Actors Paradigm (2020, background): “Additionally, it has become more common for people to have repeated, ongoing interactions with media agents, such as Amazon’s Alexa, to fulfill utilitarian as well as social needs (Ammari et al., 2019; McLean & Osei-Frimpong, 2019).”