Perceptions and reactions to conversational privacy initiated by a conversational user interface
Birgit Brüggemeier,Philip Lalone +1 more
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TLDR
In this article, the authors used a bespoke data collection interface to generate speaking chatbots and made them available as tasks on the crowd sourcing platform Mechanical Turk to simulate how privacy can be communicated in a dialogue between user and machine.About:
This article is published in Computer Speech & Language.The article was published on 2022-01-01 and is currently open access. It has received 9 citations till now. The article focuses on the topics: Computer science & Bespoke.read more
Citations
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Human-Computer Interaction in Customer Service: The Experience with AI Chatbots—A Systematic Literature Review
TL;DR: In this paper , the authors analyze the overall customer experience with customer service chatbots in order to identify the main influencing factors for customer experience, and identify the resulting dimensions of customer experience (such as perceptions/attitudes and feelings and also responses and behaviors).
Journal ArticleDOI
Text-Based Chatbot in Financial Sector: A Systematic Literature Review
TL;DR: A comprehensive systematic literature review of articles focused on text-based chatbots in the financial sector is presented in this paper , where the main findings regarding the use of text chatbots are presented; additionally, open issues in current research are highlighted and a number of research opportunities that can be pursued in the future are suggested.
Journal ArticleDOI
Chatbot Language - crowdsource perceptions and reactions to dialogue systems to inform dialogue design decisions
TL;DR: The Chatbot Language (CBL) as mentioned in this paper is a framework to quickly develop and deploy conversational user interfaces (CUI) on crowd sourcing platforms, without requiring a technical background, and it provides scripts that use the API of the crowd sourcing platform Mechanical Turk (MT) in order to create MT Human Intelligence Tasks and retrieve the results of those HITs.
Peer Review
Understanding Privacy and Security Postures of Healthcare Chatbots
TL;DR: Research gaps are identified and potential solutions to enable robust data security for sensitive healthcare data accessed by healthcare chatbots are provided by identifying research gaps and providing potential solutions that can secure user data.
Journal ArticleDOI
On the Potential of Mediation Chatbots for Mitigating Multiparty Privacy Conflicts - A Wizard-of-Oz Study
TL;DR: In this article , a mediator chatbot that encourages consent collection, enables users to explain their points of view, and proposes solutions to finding a middle ground is designed to support social media users against MPC.
References
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Amazon's Mechanical Turk A New Source of Inexpensive, Yet High-Quality, Data?
TL;DR: Findings indicate that MTurk can be used to obtain high-quality data inexpensively and rapidly and the data obtained are at least as reliable as those obtained via traditional methods.
Semantic priming effects in visual word recognition : A selective review of current findings and theories
TL;DR: This paper reported that subjects were faster and more accurate in responding to displays containing two semantically/associatively related words (e.g., bread and butter) than to displays with two unrelated words (i.e., doctor and butter).
Journal ArticleDOI
The role of security, privacy, usability and reputation in the development of online banking
TL;DR: The data showed that web site security and privacy, usability and reputation have a direct and significant effect on consumer trust in a financial services industry context and suggests that trust has a positive effect on consumers commitment.
Journal ArticleDOI
How Many Participants Do We Have to Include in Properly Powered Experiments? A Tutorial of Power Analysis with Reference Tables.
TL;DR: In this article, the authors describe reference numbers needed for the designs most often used by psychologists, including single-variable between-groups and repeated-measures designs with two and three levels, two-factor designs involving two repeated measures and one repeated measure, and split-plot design.
Journal ArticleDOI
Online panels in social science research: Expanding sampling methods beyond Mechanical Turk
TL;DR: It is concluded that online research panels offer a unique opportunity for research, yet one with some important trade-offs, as compared with traditional student subject pools.
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