Work

Master your practice! A quantitative analysis of Device and system handling training to enable competent interactions with intelligent voice assistants

Year: 2025

Type: article

Abstract: Intelligent voice assistants (IVAs), such as Siri or Alexa, are voice-based artificial intelligence (AI) systems that help users solve everyday tasks using voice commands. Users often have a superficial understanding of the full range of functions IVAs can be used for and how to use them effectively. Since higher knowledge of device and system handling is fundamental for positive interaction quality and self-determined use of IVAs, this study examines how training can contribute to the promotion of variables such as usage aspects, social perception, and self-determined interaction and how such training can be designed. Based on an established competence framework and the principles of learning psychology and media didactics, three online training modules were developed to strengthen the user's device and system handling competence, and their effects on the parameters of competent AI interaction were investigated. A total of 110 students took part in the three training studies. Results of dependent t -tests show that completing training modules improves device and system handling and increases the intention to use IVAs more self-determined. In detail, participants perceive IVAs as more useful, tend to be more explorative and indulgent, feel more competent to use IVAs, and perceive them as less disturbing. Overall, the paper demonstrates the effectiveness of training in improving the perceived usefulness of IVAs, exploratory and indulgent behavioral intentions, and decreasing the disturbance of IVAs. This work has great potential for research and education to improve, explore, and advance user behavior and competent interaction with IVAs, as well as for broader AI applications. • Three training modules improve the use of intelligent voice assistants (IVAs) . • Training promotes competent and self-determined IVA user interactions . • After training, IVAs appear more useful and easier to use . • Training encourages users to explore IVA functions .

Source: Computers in Human Behavior Reports

DOI: 10.1016/j.chbr.2025.100610

Authors: Maximilian Baumann, André Markus, Jan Pfister, Astrid Carolus, Andreas Hotho, Carolin Wienrich

Institution: University of Würzburg

Language: English

Topic: Usability and User Interface Design

Subfield: Human-Computer Interaction

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: gold

Estimated APC paid: $1,880