SIMPLE CONVERSATION SYSTEM ON SOCIAL ROBOTS WITH LEVENSHTEIN ALGORITHM

Robots in the industrial era 4.0 are not only required to be able to help or replace human work. Humans have positioned robots not only as machines, but also as friends. Like a friend, the robot must be able to interact, communicate, and respond. This phenomenon raises the term social robot, which is a robot that can interact socially like humans do with each other. Robot interaction with humans can be verbal communication (conversation), text, social-media, physical movement, or artificial intelligence (AI). This paper focuses on discussing social robot interactions in (verbal) conversations. Robot conversation patterns can be built simply by applying the Levenshtein algorithm to the database search method to get conversation responses. With this method the robot can provide a response that relates to the topic that the opponent is talking about without going too far

An efficient record linkage scheme using graphical analysis for identifier error detection

Integration of information on individuals (record linkage) is a key problem in healthcare delivery, epidemiology, and "business intelligence" applications. It is now common to be required to link very large numbers of records, often containing various combinations of theoretically unique identifiers, such as NHS numbers, which are both incomplete and error-prone

Digital library search preferences amongst historians and genealogists: British History Online user survey

This paper presents the results of a study of 1,439 users of British History Online (BHO). BHO is a digital library of key printed primary and secondary sources for the history of Britain and Ireland, with a principal focus on the period between 1300 and 1800. The collection currently contains 1,250 volumes, and 120,000 web pages of material. During a website rebuild in 2014, the project team asked its registered users about their preferences for searching and browsing the content in the collection. Respondents were asked about their current search and browsing behaviour, as well as their receptiveness to new navigation options, including fuzzy searching, proximity searching, limiting search to a subset of the collection, searching by publication metadata, and searching entities within the texts such as person names, place names, or footnotes. The study provides insight into the unique and often converging needs of the site’s academic and genealogical users, noting that the former tended to respond in favour of options that gave them greater control over the search process, whereas the latter generally opted for options to improve the efficacy of targeted keyword searching. Results and recommendations are offered for managers of similar digitally-driven repositories interested in understanding and improving user experience.Peer reviewedFinal Published versio