Owing to technological advancements in artificial intelligence, voice assistants (VAs) offer speech as a new interaction modality. Compared to text-based interaction, speech is natural and intuitive, which is why companies use VAs in customer service. However, we do not yet know for which kinds of tasks speech is beneficial. Drawing on task-technology fit theory, we present a research model to examine the applicability of VAs to different tasks. To test this model, we conducted a laboratory experiment with 116 participants who had to complete an information search task with a VA or a chatbot. The results show that speech exhibits higher perceived efficiency, lower cognitive effort, higher enjoyment, and higher service satisfaction than text-based interaction. We also find that these effects depend on the task’s goal-directedness. These findings extend task-technology fit theory to customers’ choice of interaction modalities and inform practitioners about the use of VAs for information search tasks.
Owing to rapidly increasing adoption rates of voice assistants (VAs), integrating voice commerce as a new customer channel is among the top objectives of businesses' current voice initiatives. However, customers are reluctant to use their VAs for shopping; a tendency not explained by extant literature. Therefore, this research aims to understand consumers' perceived benefits and costs when using voice commerce, based on a theoretical framework derived from prior literature and the theory of reasoned action. We evaluated and extended this framework by analyzing 30 semi-structured interviews with smart speaker users. According to our results voice commerce consumers perceive benefits in terms of efficiency, convenience, and enjoyment, and criticize the perceived costs of limited transparency, lack of trust, lack of control, and low technical maturity. The resulting model sheds light on the promoters and inhibitors of voice commerce and provides guidelines that enable practitioners to design and improve voice commerce applications.
One of the top reasons given for use of the internet is the ability to search for health information. However, much of the planning for web-based health information often fails to consider accessibility issues. If health care organizations and community agencies’ web sites have the latest, most wellresearched information on the health topics of the day, it is useless to those who cannot access it because of invisible technological barriers. Many flashy, high-tech sites were designed only to appeal to the needs of the mainstream population, with no consideration given to how people with disabilities must adapt their use of the web in order to access information. This article addresses issues of access specific to web site development, and will explore barriers to accessibility frequently experienced by web users with disabilities, requirements for ADA compliance, and how people with disabilities use the web. Web site accessibility guidelines, as well as simple evaluation tools, will be discussed. A thorough review of the article will enable even the least tech-savvy of health educators to enhance their skills in planning and evaluating web sites to promote access for people with disabilities.
Owing to increasing adoption rates of voice assistants (VAs), integrating voice commerce (VC) as a new consumer channel is among the top objectives of businesses' current voice initiatives. VC offers consumers a new way of shopping by using VAs, which comes with benefits but also entails risks that extant literature only partially examines. Therefore, this research seeks to understand consumers' perceived benefits and risks when using VC by means of a mixed-methods design. In the first study, we conducted 30 semi-structured interviews with VA users to develop a research model of VC risks and benefits. The second study empirically validated the research model using survey data from 176 participants. According to our results, consumers perceive VC as convenient and enjoyable but also perceive risks regarding the VA's reliability, opacity, and controllability. Thus, we shed light on the determinants of channel choice in e-commerce and provide guidelines for designing VC applications.
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