Conversational artificial intelligence in the AEC industry: A review of present status, challenges and opportunities

The idea of developing a system that can converse and understand human languages has been around since the 1200 s. With the advancement in artificial intelligence (AI), Conversational AI came of age in 2010 with the launch of Apple’s Siri. Conversational AI systems leveraged Natural Language Processing (NLP) to understand and converse with humans via speech and text. These systems have been deployed in sectors such as aviation, tourism, and healthcare. However, the application of Conversational AI in the architecture engineering and construction (AEC) industry is lagging, and little is known about the state of research on Conversational AI. Thus, this study presents a systematic review of Conversational AI in the AEC industry to provide insights into the current development and conducted a Focus Group Discussion to highlight challenges and validate areas of opportunities. The findings reveal that Conversational AI applications hold immense benefits for the AEC industry, but it is currently underexplored. The major challenges for the under exploration were highlighted and discusses for intervention. Lastly, opportunities and future research directions of Conversational AI are projected and validated which would improve the productivity and efficiency of the industry. This study presents the status quo of a fast-emerging research area and serves as the first attempt in the AEC field. Its findings would provide insights into the new field which be of benefit to researchers and stakeholders in the AEC industry

FAME: supporting continuous requirements elicitation by combining user feedback and monitoring

© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Context: Software evolution ensures that software systems in use stay up to date and provide value for end-users. However, it is challenging for requirements engineers to continuously elicit needs for systems used by heterogeneous end-users who are out of organisational reach. Objective: We aim at supporting continuous requirements elicitation by combining user feedback and usage monitoring. Online feedback mechanisms enable end-users to remotely communicate problems, experiences, and opinions, while monitoring provides valuable information about runtime events. It is argued that bringing both information sources together can help requirements engineers to understand end-user needs better. Method/Tool: We present FAME, a framework for the combined and simultaneous collection of feedback and monitoring data in web and mobile contexts to support continuous requirements elicitation. In addition to a detailed discussion of our technical solution, we present the first evidence that FAME can be successfully introduced in real-world contexts. Therefore, we deployed FAME in a web application of a German small and medium-sized enterprise (SME) to collect user feedback and usage data. Results/Conclusion: Our results suggest that FAME not only can be successfully used in industrial environments but that bringing feedback and monitoring data together helps the SME to improve their understanding of end-user needs, ultimately supporting continuous requirements elicitation.Peer ReviewedPostprint (author's final draft

VOICE BASED FOR BANKING SYSTEM

The trouble with traditional banking system service resulted difficulties, latency and low quality of service, not suitable for disable people and require extra manpower to perform simple bank activities. The goal of this project is to build a voice recognition based system which specifies on the banking activities element and specializes in using voice as a medium to run bank activities via telephony network system. Three fundamental objectives were addressed in the study. First, to develop two-way interactive program of banking system, which use voice as importantmechanism to receive instruction and response to user. Second, it support to first objective which to develop such a user friendly andhighsecurity voice banking system which requires the user first logs on to the system by furnishing the assigned customer identification number and personal identification number before user proceed for further actions. And therefore, there must have a strong database structure development of the application in the voice banking system that purposely to maintain the integrity of the data stored and responds to authorized user only. For third objective, is to determine the best programming in order to implement in telephony network system. There is a study and architecture on how voice can be accepted, manipulated and generated by using combination two types of programming which are Cold Fusion and VoiceXML, which is goes to the third objective. The functions of this system is proved and demanded by user as it provides such convenience and easy services with just use voice to transmit the instruction. Hence, this strategy will grab large number of customers and simultaneously will generate huge profit too to the bank institution that applies this system. It is hoping that, by developing this system it will be a platform for next developer to host the system and can be use a large number of customers simultaneously and efficiently. Keyword: Voice based, telephony, combination of programming, architectur