Product Characteristics Assessment and Wearing Evaluation of Waist-protection Corset Design

The summary of product characteristics from the European Medicines Agency is a reference document on medicines in the EU. It contains textual information for clinical experts on how to safely use medicines, including adverse drug reactions. Using natural language processing (NLP) techniques to automatically extract adverse drug reactions from such unstructured textual information helps clinical experts to effectively and efficiently use them in daily practices. Such techniques have been developed for Structured Product Labels from the Food and Drug Administration (FDA), but there is no research focusing on extracting from the Summary of Product Characteristics. In this work, we built a natural language processing pipeline that automatically scrapes the summary of product characteristics online and then extracts adverse drug reactions from them. Besides, we have made the method and its output publicly available so that it can be reused and further evaluated in clinical practices. In total, we extracted 32,797 common adverse drug reactions for 647 common medicines scraped from the Electronic Medicines Compendium. A manual review of 37 commonly used medicines has indicated a good performance, with a recall and precision of 0.99 and 0.934, respectively.

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Influence of Characteristics of the Internet of Things on Consumer Purchase Intention

Social Behavior and Personality An International Journal ◽

10.2224/sbp.2014.42.2.321 ◽

2014 ◽

Vol 42 (2) ◽

pp. 321-330 ◽

Cited By ~ 29

Author(s):

YaPing Chang ◽

XueBing Dong ◽

Wei Sun

Keyword(s):

Internet Of Things ◽

Product Design ◽

Purchase Intention ◽

Emotional Experience ◽

The Internet ◽

Product Characteristics ◽

Consumer Purchase Intention ◽

Functional Experience ◽

The Relationship ◽

The Internet Of Things

We studied the mechanism of the influence of the Internet of Things (IOT) product characteristics on consumer purchase intention. The results of a survey of 360 consumers showed that 6 dimensions of IOT product characteristics influence purchase intention; namely connectivity, interactivity, telepresence, intelligence, convenience, and security. We found that customer experience was the key mediating variable in the relationship between IOT product characteristics and purchase intention. Connectivity, interactivity, telepresence, intelligence, convenience, and security all positively influenced purchase intention via functional experience. Furthermore, connectivity, telepresence, convenience, and security positively influenced purchase intention via emotional experience. Our findings in the study provide some points of reference for improvement of IOT product design.

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