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PurposeVirtual assistants are increasingly used for persuasive purposes, employing the different modalities of voice and text (or a combination of the two). In this study, the authors compare the persuasiveness of voice-and text-based virtual assistants.
Carolin Ischen +2 more
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A Virtual Assistant for Cybersickness Care
2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS), 2020We present an avatar and task-oriented dialog agent for monitoring user discomfort during a virtual reality (VR) cognitive exercise and providing personalized information and advice on its relief. The goal of this approach is to provide instantaneous assistance to users for a more comfortable VR experience, thereby enabling them to spend more time on ...
Harmouche, Rola +5 more
openaire +2 more sources
Tourist-virtual assistant communication: the power of attachment and authenticity
Anatolia, 2023Muhammad Ashfaq +1 more
exaly +2 more sources
More trust or more risk? User acceptance of artificial intelligence virtual assistant
Human Factors and Ergonomics in Manufacturing & Service Industries, 2023Artificial intelligence (AI) virtual assistants are rapidly growing, permeating people's daily lives and work. However, some trust and risk issues prevent the acceptance and use of AI virtual assistants by users.
Yiwei Xiong, Yan Shi, Quanlin Pu, Na Liu
semanticscholar +1 more source
Applied Ergonomics, 2023
This study examines the effects of noise and the use of an Intelligent Virtual Assistant (IVA) on the task performance and workload of office workers. Data were collected from forty-eight adults across varied office task scenarios (i.e., sending an email,
Parian Haghighat +6 more
semanticscholar +1 more source
This study examines the effects of noise and the use of an Intelligent Virtual Assistant (IVA) on the task performance and workload of office workers. Data were collected from forty-eight adults across varied office task scenarios (i.e., sending an email,
Parian Haghighat +6 more
semanticscholar +1 more source
Chess Game Therapy to Improve the Mental Ability of Dementia‘s Patients using AI Virtual Assistant
2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS), 2023Dementia is a term used to describe cognitive decline sufficiently severe to cause problems with daily functioning, such as remembrance, language, real concern, and other brain abilities. This research looks into how to treat them with game therapy.
Joypriyanka M, S. R
semanticscholar +1 more source
Voice-based Virtual Assistant with Security
2023 Second International Conference on Electronics and Renewable Systems (ICEARS), 2023With the advancements in speech recognition and AI technology, there is a growing demand for convenient and efficient ways to interact with technology.
Cintamaria Simon, M. Rajeswari
semanticscholar +1 more source
Mobile Virtual Assistant for Multi-Modal Depression-Level Stratification
IEEE Transactions on Affective ComputingDepression not only afflicts hundreds of millions of people but also contributes to a global disability and healthcare burden. The primary method of diagnosing depression relies on the judgment of medical professionals in clinical interviews with ...
Eric Hsiao-Kuang Wu +5 more
semanticscholar +1 more source
An Efficient, Precise and User Friendly AI based Virtual Assistant
2023 International Conference on the Confluence of Advancements in Robotics, Vision and Interdisciplinary Technology Management (IC-RVITM), 2023Artificial intelligence (AI) developments in recent years have enabled the creation of virtual assistants that can mimic human communication and interaction. The creation of a virtual assistant has the power to completely alter how people use technology.
Aman Anand +4 more
semanticscholar +1 more source
SELMA: A Speech-Enabled Language Model for Virtual Assistant Interactions
IEEE International Conference on Acoustics, Speech, and Signal ProcessingIn this work, we present and evaluate SELMA, a Speech-Enabled Language Model for virtual Assistant interactions that integrates audio and text as inputs to a Large Language Model (LLM).
Dominik Wagner +3 more
semanticscholar +1 more source

