Architecture for Automatic Generation of User Interaction Guides with Intelligent Assistant

2017 ◽  
Author(s):  
Inchul Hwang ◽  
Jinhe Jung ◽  
Jaedeok Kim ◽  
Youngbin Shin ◽  
Jeong-Su Seol
Keyword(s):  
User Interaction ◽  
Automatic Generation ◽  
Intelligent Assistant

scholarly journals Automatic Generation of Stippling Illustrations from two Photographs

2012 ◽  
Vol 3 (5) ◽  
pp. 89
Author(s):  
Germán Arroyo ◽  
Domingo Martín ◽  
M. Victoria Luzón
Keyword(s):  
3D Model ◽  
User Interaction ◽  
Software Tool ◽  
Automatic Generation ◽  
Level Of Detail

<p>In this paper we present a software tool that is able to reconstruct the depth field of the objects from two photographs and to obtain a pseudo 3D model. Using this information our system is able to difference background from foreground, and therefore, what are the interesting elements in the photographs and stipple them in different ways.<br />This tool needs almost no user interaction. The user simply has to align both photographs and indicate the level of detail according to the distance. The rest is decided by our software. Whereas a professional illustrator needs more than 20 hours to finish a similar illustration, our software is able to do it in just few seconds.</p>

scholarly journals Extending the Application of an Assistant Personal Robot as a Walk-Helper Tool

Robotics ◽  
2019 ◽  
Vol 8 (2) ◽  
pp. 27 ◽  
Author(s):  
Palacín ◽  
Clotet ◽  
Martínez ◽  
Martínez ◽  
Moreno
Keyword(s):  
Mobile Robot ◽  
User Interaction ◽  
Automatic Generation ◽  
Physical Support ◽  
Higher Weights ◽  
Personal Robot ◽  
Walking Aid ◽  
At Home

This paper presents the application of a mobile robot designed as an Assistant Personal Robot (APR) as a walk-helper tool. The hypothesis is that the height and weight of this mobile robot can be used also to provide a dynamic physical support and guidance to people while they walk. This functionality is presented as a soft walking aid at home but not as a substitute of an assistive cane or a walker device, which may withstand higher weights and provide better stability during a walking. The APR operates as a walk-helper tool by providing user interaction using the original arms of the mobile robot and by using the onboard sensors of the mobile robot in order to avoid obstacles and guide the walking through free areas. The results of the experiments conducted with the walk-helper have showed the automatic generation of smooth walking trajectories and a reduction in the number of manual trajectory corrections required to complete a walking displacement.

scholarly journals Transport behavior-mining from smartphones: a review

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Valentino Servizi ◽  
Francisco C. Pereira ◽  
Marie K. Anderson ◽  
Otto A. Nielsen
Keyword(s):  
Travel Behavior ◽  
Large Scale ◽  
User Interaction ◽  
Ground Truth ◽  
Automatic Generation ◽  
Machine Learning Algorithms ◽  
Behavior Mining ◽  
Travel Diaries ◽  
Field Experimentation ◽  
Transportation Research

Abstract Background Although people and smartphones have become almost inseparable, especially during travel, smartphones still represent a small fraction of a complex multi-sensor platform enabling the passive collection of users’ travel behavior. Smartphone-based travel survey data yields the richest perspective on the study of inter- and intrauser behavioral variations. Yet after over a decade of research and field experimentation on such surveys, and despite a consensus in transportation research as to their potential, smartphone-based travel surveys are seldom used on a large scale. Purpose This literature review pinpoints and examines the problems limiting prior research, and exposes drivers to select and rank machine-learning algorithms used for data processing in smartphone-based surveys. Conclusion Our findings show the main physical limitations from a device perspective; the methodological framework deployed for the automatic generation of travel-diaries, from the application perspective; and the relationship among user interaction, methods, and data, from the ground truth perspective.

scholarly journals Automatic generation of checklists from business process model and notation (BPMN) models for surgical assist systems

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Claudia Ryniak ◽  
Oliver Burgert
Keyword(s):  
Business Process ◽  
Process Model ◽  
User Interaction ◽  
Automatic Generation ◽  
Process Models ◽  
Context Aware ◽  
Business Process Model ◽  
End User ◽  
User Friendliness

AbstractChecklists are a valuable tool to ensure process quality and quality of care. To ensure proper integration in clinical processes, it would be desirable to generate checklists directly from formal process descriptions. Those checklists could also be used for user interaction in context-aware surgical assist systems. We built a tool to automatically convert Business Process Model and Notation (BPMN) process models to checklists displayed as HTML websites. Gateways representing decisions are mapped to checklist items that trigger dynamic content loading based on the placed checkmark. The usability of the resulting system was positively evaluated regarding comprehensibility and end-user friendliness.

scholarly journals Automated Specification-Based Testing of REST APIs

Sensors ◽  
2021 ◽  
Vol 21 (16) ◽  
pp. 5375
Author(s):  
Ovidiu Baniaș ◽  
Diana Florea ◽  
Robert Gyalai ◽  
Daniel-Ioan Curiac
Keyword(s):  
Web Applications ◽  
User Interaction ◽  
Automatic Generation ◽  
Test Case ◽  
Test Cases ◽  
Generation Process ◽  
Coverage Metrics ◽  
Representational State Transfer ◽  
Wide Range ◽  
And Performance

Nowadays, REpresentational State Transfer Application Programming Interfaces (REST APIs) are widely used in web applications, hence a plethora of test cases are developed to validate the APIs calls. We propose a solution that automates the generation of test cases for REST APIs based on their specifications. In our approach, apart from the automatic generation of test cases, we provide an option for the user to influence the test case generation process. By adding user interaction, we aim to augment the automatic generation of APIs test cases with human testing expertise and specific context. We use the latest version of OpenAPI 3.x and a wide range of coverage metrics to analyze the functionality and performance of the generated test cases, and non-functional metrics to analyze the performance of the APIs. The experiments proved the effectiveness and practicability of our method.

The Role of Visual Distractors in the Simon Effect

2017 ◽  
Vol 64 (6) ◽  
pp. 387-397 ◽  
Author(s):  
Luisa Lugli ◽  
Stefania D’Ascenzo ◽  
Roberto Nicoletti ◽  
Carlo Umiltà
Keyword(s):  
Simon Effect ◽  
Simon Task ◽  
Automatic Generation ◽  
Spatial Code ◽  
Attentional Model ◽  
Previous Evidence ◽  
Spatial Stimulus ◽  
Attentional Resources ◽  
Code Changes

Abstract. The Simon effect lies on the automatic generation of a stimulus spatial code, which, however, is not relevant for performing the task. Results typically show faster performance when stimulus and response locations correspond, rather than when they do not. Considering reaction time distributions, two types of Simon effect have been individuated, which are thought to depend on different mechanisms: visuomotor activation versus cognitive translation of spatial codes. The present study aimed to investigate whether the presence of a distractor, which affects the allocation of attentional resources and, thus, the time needed to generate the spatial code, changes the nature of the Simon effect. In four experiments, we manipulated the presence and the characteristics of the distractor. Findings extend previous evidence regarding the distinction between visuomotor activation and cognitive translation of spatial stimulus codes in a Simon task. They are discussed with reference to the attentional model of the Simon effect.

Classification of means and methods of the Web semantic retrieval

2017 ◽  
pp. 030-050
Author(s):  
J.V. Rogushina ◽  
Keyword(s):  
Search Engines ◽  
Domain Knowledge ◽  
Information Needs ◽  
Web Search ◽  
User Interaction ◽  
Query Languages ◽  
Semantic Search ◽  
Semantic Retrieval ◽  
The Web

Problems associated with the improve ment of information retrieval for open environment are considered and the need for it’s semantization is grounded. Thecurrent state and prospects of development of semantic search engines that are focused on the Web information resources processing are analysed, the criteria for the classification of such systems are reviewed. In this analysis the significant attention is paid to the semantic search use of ontologies that contain knowledge about the subject area and the search users. The sources of ontological knowledge and methods of their processing for the improvement of the search procedures are considered. Examples of semantic search systems that use structured query languages (eg, SPARQL), lists of keywords and queries in natural language are proposed. Such criteria for the classification of semantic search engines like architecture, coupling, transparency, user context, modification requests, ontology structure, etc. are considered. Different ways of support of semantic and otology based modification of user queries that improve the completeness and accuracy of the search are analyzed. On base of analysis of the properties of existing semantic search engines in terms of these criteria, the areas for further improvement of these systems are selected: the development of metasearch systems, semantic modification of user requests, the determination of an user-acceptable transparency level of the search procedures, flexibility of domain knowledge management tools, increasing productivity and scalability. In addition, the development of means of semantic Web search needs in use of some external knowledge base which contains knowledge about the domain of user information needs, and in providing the users with the ability to independent selection of knowledge that is used in the search process. There is necessary to take into account the history of user interaction with the retrieval system and the search context for personalization of the query results and their ordering in accordance with the user information needs. All these aspects were taken into account in the design and implementation of semantic search engine "MAIPS" that is based on an ontological model of users and resources cooperation into the Web.

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