Results 101 to 110 of about 4,962 (156)

Swarm Assistant: an intelligent personal assistant for the Swarm

2019 IEEE International Conference on Consumer Electronics (ICCE), 2019
Billions of devices belonging to different manufacturers and domains are connected to the Internet of Things. The amount of consumer equipment that a single person can manage, however, is limited. Additionally, personal information is spread across several sources, which prevents a seamless integration. Intelligent personal assistants are a solution to
Laisa Caroline Costa De Biase   +5 more
openaire   +1 more source

Personality Dimensions of Intelligent Personal Assistants

Proceedings of the 2020 Conference on Human Information Interaction and Retrieval, 2020
An earlier study of intelligent personal assistants (IPAs) identified a large number of user utterances aimed at understanding an IPA's personality by testing its responses to questions about itself and about users. Based on primary and secondary sources, we developed a dataset of IPA-directed personality utterances and analyzed IPA responses to such ...
openaire   +1 more source

User recommendations for intelligent personal assistants

Journal of Librarianship and Information Science, 2019
Adoption of intelligent personal assistants (IPA) is on the rise. Published studies on IPAs often focus on the analysis and critique of existing IPA features without understanding specific user needs that the technology aims to address. We present an exploratory study that gathered user recommendations for the design of their ideal IPA.
Irene Lopatovska   +5 more
openaire   +1 more source

User Perceptions of an Intelligent Personal Assistant's Personality

Proceedings of the 2021 Conference on Human Information Interaction and Retrieval, 2021
This paper reports on an experimental study that examined user perceptions of Amazon Alexa's personality, as well as influences of stressful or non-stressful interactions on personality perceptions. The study relied on the Five-Factor Model and the Stereotype Content Model personality frameworks.
Irene Lopatovska   +6 more
openaire   +1 more source

iAPERAS — Intelligent Athlete’s Personal Assistant

18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05), 2005
Non-professional athletes usually rely on the information about training methods and nutrition recommendations provided online. However, the quality of online information sources is extremely variable. iAPERAS is an expert system using Bayes networks and designed for athletes.
Mateja Verlic   +2 more
openaire   +1 more source

Intelligent personal assistants: A systematic literature review

Expert Systems with Applications, 2020
Abstract Natural Language Interfaces allow human-computer interaction through the translation of human intention into devices’ control commands, analyzing the user’s speech or gestures. This novel interaction mode arises from advancements of artificial intelligence, expert systems, speech recognition, semantic web, dialog systems, and natural ...
Allan de Barcelos Silva   +7 more
openaire   +1 more source

Comparing Intelligent Personal Assistants on Humor Function

2020
Intelligent personal assistants (IPA) use humor to engage and entertain users as well as mitigate performance limitations. In order to understand the types of users’ humorous interactions with IPA, we developed a classification of humorous utterances that included categories of questions about IPA personality, requests for jokes, rhetorical statement ...
Irene Lopatovska   +11 more
openaire   +1 more source

Usability of Voice-based Intelligent Personal Assistants

2020 International Conference on Information and Communication Technology Convergence (ICTC), 2020
Recently the emergence of speech-based Intelligent Personal Assistants (sIPA) has opened a new modality of user interaction with machines. However, till date research in human computer interaction (HCI) has largely focused on graphical user interfaces (GUIs), and not fully facilitate the design of the sIPA’s.
Dilawar Shah Zwakman   +3 more
openaire   +1 more source

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