Intelligent personal assistants: A systematic literature review

Silva, Allan de Barcelos; Gomes, Márcio Miguel; Costa, Cristiano André da; Righi, Rodrigo da Rosa; Barbosa, Jorge Luís Victória; Pessin, Gustavo; Doncker, G. De; Federizzi, Gustavo

doi:10.1016/j.eswa.2020.113193

Cited by 165 publications

(93 citation statements)

References 33 publications

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“…Current research on voice-assistants stress on three main aspects: (a) improving the technology empowering these devices with an aim to provide better voice recognition, ability to understand multiple languages, providing humanlike speech output, adding emotions to these devices, and likewise, (b) improving the privacy and security of these devices, so that the users can trust them in their daily usage, and (c) theoretical research focusing on the factors along with research models that explain the usage of these devices [17]. Although the indirect objective of the first research direction is to improve the usability of the voice-assistants by making them more user-friendly, yet these works focus on improving the technology, and not on the usability aspect per se.…”

Section: Current State-of-art Of Voice-assistantsmentioning

confidence: 99%

“…The voice-assistants must provide guidance to the users through their interactions, so that they are not easily lost. Interaction must be short for minimizing the acoustic confusability of vocabulary (i.e., short yes/no type) studies have revealed that users consider them to be their assistive companions [2,4,17,45]. Therefore, quality of the auditory feedback is an important issue that is another uniqueness of the voice-based systems.…”

Section: Usability Dimension Explanationmentioning

confidence: 99%

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Usability Evaluation of Artificial Intelligence-Based Voice Assistants: The Case of Amazon Alexa

2021

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Section: Current State-of-art Of Voice-assistantsmentioning

confidence: 99%

Section: Usability Dimension Explanationmentioning

confidence: 99%

Usability Evaluation of Artificial Intelligence-Based Voice Assistants: The Case of Amazon Alexa

2021

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“…The use of an Intelligent Personal Assistant (IPA) to improve learning is an emerging practice that, although not yet widespread, has an important future role. The implementation of IPAs through Voice User Interfaces (VUIs) (see Barcelos et al [ 16 ] for an analysis of the taxonomy of voice assistants) means that these assistants can give immediate and intuitive responses to natural language stimuli, so that the user can develop voice interaction through the computer system. In addition, many of them include the possibility of creating applications at no cost for their development and use, such as the Amazon Echo or the Google Home assistants.…”

Section: Introductionmentioning

confidence: 99%

Effectiveness of Using Voice Assistants in Learning: A Study at the Time of COVID-19

Manzanares

Sánchez

Ochoa-Orihuel

2020

IJERPH

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The use of advanced learning technologies in a learning management system (LMS) can greatly assist learning processes, especially when used in university environments, as they promote the development of Self-Regulated learning, which increases academic performance and student satisfaction towards personal learning. One of the most innovative resources that an LMS may have is an Intelligent Personal Assistant (IPA). We worked with a sample of 109 third-grade students following Health Sciences degrees. The aims were: (1) to verify whether there will be significant differences in student access to the LMS, depending on use versus non-use of an IPA. (2) To verify whether there will be significant differences in student learning outcomes depending on use versus non-use of an IPA. (3) To verify whether there will be significant differences for student satisfaction with teaching during the COVID-19 pandemic, depending on use versus non-use of an IPA. (4) To analyze student perceptions of the usefulness of an IPA in the LMS. We found greater functionality in access to the LMS and satisfaction with teaching, especially during the health crisis, in the group of students who had used an IPA. However, both the expansion of available information and the usability of the features embedded in an IPA are still challenging issues.

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“…The literature on assistant platforms presents a diverse picture, which is already reflected in the various definitions and notions of assistants (see [15], [16], [17]). Besides the most popular terms of virtual and personal assistants (see Table 1), similar terms are digital, intelligent and voice assistants as well as (less popular) combinations such as intelligent virtual assistants [18], intelligent personal assistants [17], personal digital assistants [19], virtual digital assistants [20] or smart personal assistants [16]. Among the main ideas of these terms are (1) the support of (human) users when (2) accessing digitally enabled services by (3) means of text, voice, and/or visual modes of input.…”

Section: Literature Review and Theoretical Backgroundmentioning

confidence: 99%

A Conceptual Model for Assistant Platforms

Alt

Zimmermann

2021

Proceedings of the Annual Hawaii International Conference on System Sciences

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Assistant platforms are becoming a key element for the business model of many companies. They have evolved from assistance systems that provide support when using information (or other) systems to platforms in their own. Alexa, Cortana, or Siri may be used with literally thousands of services. From this background, this paper develops the notion of assistant platforms and elaborates a conceptual model that supports businesses in developing appropriate strategies. The model consists of three main building blocks, an architecture that depicts the components as well as the possible layers of an assistant platform, the mechanism that determines the value creation on assistant platforms, and the ecosystem with its network effects, which emerge from the multi-sided nature of assistant platforms. The model has been derived from a literature review and is illustrated with examples of existing assistant platforms. Its main purpose is to advance the understanding of assistant platforms and to trigger future research.

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Intelligent personal assistants: A systematic literature review

Cited by 165 publications

References 33 publications

Usability Evaluation of Artificial Intelligence-Based Voice Assistants: The Case of Amazon Alexa

Usability Evaluation of Artificial Intelligence-Based Voice Assistants: The Case of Amazon Alexa

Effectiveness of Using Voice Assistants in Learning: A Study at the Time of COVID-19

A Conceptual Model for Assistant Platforms

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