A proposal for the development of adaptive spoken interfaces to access the Web

Griol, David; Molina, José Manuel; Callejas, Zoraida

doi:10.1016/j.neucom.2014.09.087

Cited by 8 publications

(3 citation statements)

References 87 publications

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“…The former is used for describing human language, whereas the latter is used to translate natural language sentences into SQL-based queries aiming at retrieving information from a database. Also, Griol et al [13] presented ‘Let’s Go’, a spoken dialog system that can model user intentions and adapt the dialog’s model to user needs and preferences. To achieve this, Let’s Go uses neural networks that determine a user intention based on the history and current dialog state.…”

Section: Related Workmentioning

confidence: 99%

NaLa-Search: A multimodal, interaction-based architecture for faceted search on linked open data

Sánchez-Cervantes

Alor-Hernández

Paredes-Valverde

et al. 2020

Journal of Information Science

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Mobile devices are the technological basis of computational intelligent systems, yet traditional mobile application interfaces tend to rely only on the touch modality. That said, such interfaces could improve human–computer interaction by combining diverse interaction modalities, such as visual, auditory and touch. Also, a lot of information on the Web is published under the Linked Data principles to allow people and computers to share, use and/or reuse high-quality information; however, current tools for searching for, browsing and visualising this kind of data are not fully developed. The goal of this research is to propose a novel architecture called NaLa-Search to effectively explore the Linked Open Data cloud. We present a mobile application that combines voice commands and touch for browsing and searching for such semantic information through faceted search, which is a widely used interaction scheme for exploratory search that is faithful to its richness and practical for real-world use. NaLa-Search was evaluated by real users from the clinical pharmacology domain. In this evaluation, the users had to search and navigate among the DrugBank dataset through voice commands. The evaluation results show that faceted search combined with multiple interaction modalities (e.g. speech and touch) can enhance users’ interaction with semantic knowledge bases.

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Section: Related Workmentioning

confidence: 99%

NaLa-Search: A multimodal, interaction-based architecture for faceted search on linked open data

Sánchez-Cervantes

Alor-Hernández

Paredes-Valverde

et al. 2020

Journal of Information Science

View full text Add to dashboard Cite

show abstract

“…Furthermore, the operation of the systems was designed for users who are well-trained in computer use. Therefore, studies have recently started to focus on developing systems based on mobile devices or tablets [25], such as chatbot systems.…”

Section: Information Technology For Disaster Data Managementmentioning

confidence: 99%

Ask Diana: A Keyword-Based Chatbot System for Water-Related Disaster Management

Tsai

Chen

Kang

2019

Water

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This research developed a keyword-based chatbot system, Ask Diana, for water-related disaster management. Disaster management has been considered difficult and tedious due to the complex characteristics of disaster-related data. To deal with this problem, this research developed a chatbot system with a water-related disaster database, a user intent mechanism, and an intuitive mobile-device-based user interface. With such a system, users are able to access important data or information they need for decision making by directly asking the proposed chatbot or operating the image-based menus. The system was validated through a usability test and a six-month field test. The results demonstrated that Ask Diana can help related personnel access disaster data intuitively and develop corresponding response strategies efficiently.

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“…Electronic devices are adapted to constructions problems to eliminate the difficulty due to paperwork; for example, iSafe, an iPad application, improves day-to-day practices and management of safety inspections, and allows consistent data collection that can eventually be used to aid the development of advanced safety and health data analysis techniques [4]. However, despite the popularity of smart devices to access the web, traditional designs of user interfaces are not ideal for the reduced size of the screen and keyboards of smart devices [5]. Graphic user interfaces designed for tablets may not fit with smartphones, which are more popular than tablets [6].…”

Section: Introductionmentioning

confidence: 99%

A Conversation-based System for School Building Inspections

Chan¹,

Liang-yuan²,

Tsai³

2019

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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This research aims to develop a conversationbased system for school building safety inspections. The safety of school buildings requires routine and additional post-disaster inspections. However, the inspections are often complicated due to various timings and sets of checkpoints for different situations. In addition, the traditional paperwork process is not convenient for assessors to add additional images for detailed descriptions. Moreover, managers may face the inefficiency of grasping situations from numerous paper reports. To solve these problems, we developed a chatbot to notify, guide, and assist assessors to complete safety inspections, and a dashboard for managers to consume reports in order to determine whether further assessments or retrofits are required. In this research, we digitalized the process of safety inspections and developed a chatbot to notify and guide the assessors to complete their tasks. When an earthquake occurs, the chatbot notifies the assessor if the intensity scale of the earthquake meets the school building's safety threshold. The chatbot then guides the assessor to complete the inspection. The assessor may interact with the chatbot for further instructions and upload pictures of damaging. The system collects the reports from all schools, analyzes the data, and displays via the dashboard we designed for the managers which enables the managers to efficiently and correctly consume the reports for making decisions. The conversation-based system provides an effective interface for reducing the inefficiency of school buildings' inspections, featuring automatic notifications for assessors, a conversation-based interface for guiding assessors to accomplish inspections, the integration of intuitively concatenating the whole process of inspections, the acceptability of multimedia for lowering possibility of inspection mistakes, and the view of data visualization for decision supporting of the manager.

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A proposal for the development of adaptive spoken interfaces to access the Web

Cited by 8 publications

References 87 publications

NaLa-Search: A multimodal, interaction-based architecture for faceted search on linked open data

NaLa-Search: A multimodal, interaction-based architecture for faceted search on linked open data

Ask Diana: A Keyword-Based Chatbot System for Water-Related Disaster Management

A Conversation-based System for School Building Inspections

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