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Topics of Concern: Identifying User Issues in Reviews of IoT Apps and Devices
Internet of Things (IoT) systems are bundles of networked sensors and ac...
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Towards Personalized Dialog Policies for Conversational Skill Discovery
Many businesses and consumers are extending the capabilities of voice-ba...
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Users Issues in using the Internet of Things Systems
Internet of Things (IoT) systems are bundles of networked sensors and ac...
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The Fault in the Stars: Understanding the Underground Market of Amazon Reviews
In recent times, the Internet has been plagued by a tremendous amount of...
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A Snooze-less User-Aware Notification System for Proactive Conversational Agents
The ubiquity of smart phones and electronic devices has placed a wealth ...
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MICROS: Mixed-Initiative ConveRsatiOnal Systems Workshop
The 1st edition of the workshop on Mixed-Initiative ConveRsatiOnal Syste...
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Using Latent Semantic Analysis to Identify Quality in Use (QU) Indicators from User Reviews
The paper describes a novel approach to categorize users' reviews accord...
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Examining user reviews of conversational systems: a case study of Alexa skills
Conversational systems use spoken language to interact with their users. Although conversational systems, such as Amazon Alexa, are becoming common and afford interesting functionalities, there is little known about the issues users of these systems face. In this paper, we study user reviews of more than 2,800 Alexa skills to understand the characteristics of the reviews and issues that are raised in them. Our results suggest that most skills receive less than 50 reviews. Our qualitative study of user reviews using open coding resulted in identifying 16 types of issues in the user reviews. Issues related to the content, integration with online services and devices, error, and regression are top issues raised by the users. Our results also indicate differences in volume and types of complaints by users when compared with more traditional mobile applications. We discuss the implication of our results for practitioners and researchers.
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