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1,120 results on '"User input"'

1. Wordsphere: virtual reality text input interface.

Author

Montoya Esquer, Jesús Emmanuel and Lara López, Graciela

Subjects
FANTASY fiction, BUSINESSPEOPLE, VIRTUAL reality, PERSONAL computers, SCIENCE fiction, SHARED virtual environments, TOURISM websites
Abstract

In recent years, virtual reality has moved from a fantasy or science fiction theme to a reality increasingly closer to our homes and computers. As is the case of various technological advances, from military and scientific use to casual and routine use, which are increasingly adapted to day-to-day use cases, as is observed with the announcement of a new fashionable term, the metaverse. In the same way, this possibility today in the sight of innovators, entrepreneurs, merchants, and businesspeople, among others, begins to generate applications that show benefits in different branches such as education, medicine, psychology, human resources, real estate, tourism. The detail is that within the innovation, very little is being done for an improvement in text input, which generates a stagnation for continuing with a method of capturing text, even already known with lack of intuition and not optimal, such as the provided by the QWERTY keyboard. This article presents a proposal for a new text input method, a three-dimensional (3D) text input prototype focused on immersion in virtual reality, Wordsphere, which takes advantage of the need for technological adoption for novice users in virtual reality and, in turn, leaves on the table future lines of work and research. [ABSTRACT FROM AUTHOR]

Published
2023
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2. Tapping Along to the Difficult Ones: Leveraging User-Input for Beat Tracking in Highly Expressive Musical Content

Author

Sá Pinto, António, Davies, Matthew E. P., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Kronland-Martinet, Richard, editor, Ystad, Sølvi, editor, and Aramaki, Mitsuko, editor

Published
2021
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4. Digital Investigation and Forensic User Analysis

Author

Olajide, Funminiyi, Al-Hadrami, Tawfik, James-Taylor, Anne, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Saeed, Faisal, editor, Gazem, Nadhmi, editor, Mohammed, Fathey, editor, and Busalim, Abdelsalam, editor

Published
2019
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5. Direct Control of 3D Models Through User Input to Simulate the Behavior of Mechatronic Systems

Author

Anokhin, Oleg, Anderl, Reiner, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Karwowski, Waldemar, editor, Trzcielinski, Stefan, editor, Mrugalska, Beata, editor, Di Nicolantonio, Massimo, editor, and Rossi, Emilio, editor

Published
2019
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7. Your mileage may vary: impact of data input method for a deep learning bone age app's predictions.

Author

Yi, Paul H., Yu, Alice C., Dunn, Emily A., and Sair, Haris I.

Subjects
*DEEP learning, *AGE groups, *MOBILE apps, *AGE, *FORECASTING, *SIGNAL convolution
Abstract

Objective: The purpose of this study was to evaluate agreement in predictions made by a bone age prediction application ("app") among three data input methods. Methods: The 16Bit Bone Age app is a browser-based deep learning application for predicting bone age on pediatric hand radiographs; recommended data input methods are direct image file upload or smartphone-capture of image. We collected 50 hand radiographs, split equally among 5 bone age groups. Three observers used the 16Bit Bone Age app to assess these images using 3 different data input methods: (1) direct image upload, (2) smartphone photo of image in radiology reading room, and (3) smartphone photo of image in a clinic. Results: Interobserver agreement was excellent for direct upload (ICC = 1.00) and for photos in reading room (ICC = 0.96) and good for photos in clinic (ICC = 0.82), respectively. Intraobserver agreement for the entire test set across the 3 data input methods was variable with ICCs of 0.95, 0.96, and 0.57 for the 3 observers, respectively. Discussion: Our findings indicate that different data input methods can result in discordant bone age predictions from the 16Bit Bone Age app. Further study is needed to determine the impact of data input methods, such as smartphone image capture, on deep learning app performance and accuracy. [ABSTRACT FROM AUTHOR]

Published
2022
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8. Towards Accessible Automatically Generated Interfaces Part 1: An Input Model that Bridges the Needs of Users and Product Functionality

Author

Jordan, J. Bern, Vanderheiden, Gregg C., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Zhou, Jia, editor, and Salvendy, Gavriel, editor

Published
2017
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10. An Efficient Ranking Model for Multiuser Social Media applications using Customized Page Rank Method.

Author

T., Satish Kumar, R. C., Narayanan, P., Immaculate Rexi Jenifer, and R. S., Mohana

Subjects
INTERNET forums, EXTREMISTS, INTERNET users, CUSTOMIZATION, SOCIAL media
Abstract

It has been found that the web is being used as a tool by radical or extremist groups and users to carry out a variety of acts with hidden agendas and promote their ideas in every part of the world. Some web forums are mainly used for open discussion on serious issues influenced by radical ideas. Influential users dominate and influence newly connected innocent users through their radical ideas. This paper introduces a principle for identifying radically influential users in web forums. Posts commented with a list of threats are captured by the user by a criterion based on the degree of match. This web forum basically identifies influential users. Eleven different collocation metrics are formulated to identify the association between users, and they are finally embedded in a customized page rank algorithm to create a numbered list of basic influential users. Connection theory is more effective in dealing with such ranking problem than measures based on tactical and temporal equality. [ABSTRACT FROM AUTHOR]

Published
2021

11. Smart virtual assistant

Author

Pavani Kollamudi, Bharathi Poranki, Bhargavi Koduru, and Madhu Priya Golla

Subjects
business.industry, Computer science, Context (language use), General Medicine, Voice command device, Automation, User input, Remote assistance, law.invention, Entertainment, Calculator, law, Human–computer interaction, Key (cryptography), business
Abstract

Various attempts are being carried out for automating the applications of house. Automation itself has many limitations with respect to cost and accuracy. In this context, virtual assistant plays a key role. In this work, we are planning a smart virtual assistant to illustrate the implementation of various voice commands and perform various tasks or services to an individual. The functions of these tasks or services are based on user input and mainly depends on the ability to access information from an enormous online sources (such as weather report, time and playing music for us etc). Raspberry Pi is used as the key hardware for implementing this project and its essential primary input considered is user’s voice. Whenever the information is fetched through the voice commands, it will produce the appropriate output. In-addition to this, some extra modules have been used for implementing voice to text conversions and controlling home appliances. This type of application will be more helpful for the persons who are partially or completely blind, by giving them access to Wikipedia, Calculator, Email and Music. From the results, we could attain the features like knowing the time and date, switching on and off of the lights, making a call to a registered mobile number and start/stop of fan. Finally, it can act as a main source of information and entertainment for visually impaired persons.

Published
2023

12. Population Coding: A New Design Paradigm for Embodied Distributed Systems

Author

Hamann, Heiko, Valentini, Gabriele, Dorigo, Marco, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Dorigo, Marco, editor, Birattari, Mauro, editor, Li, Xiaodong, editor, López-Ibáñez, Manuel, editor, Ohkura, Kazuhiro, editor, Pinciroli, Carlo, editor, and Stützle, Thomas, editor

Published
2016
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13. Interactive 3D Segmentation of Lymphatic Valves in Confocal Microscopic Images

Author

Jones, Jonathan-Lee, Xie, Xianghua, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Campilho, Aurélio, editor, and Karray, Fakhri, editor

Published
2016
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17. Interactive Multi-organ Segmentation Based on Multiple Template Deformation

Author

Gauriau, Romane, Lesage, David, Chiaradia, Mélanie, Morel, Baptiste, Bloch, Isabelle, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Navab, Nassir, editor, Hornegger, Joachim, editor, Wells, William M., editor, and Frangi, Alejandro F., editor

Published
2015
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21. Integration and Implementation

Author

Amon, Francine, Gehandler, Jonatan, Stahl, Selim, Tomida, Mai, Meacham, Brian, Milke, James A., Series editor, Amon, Francine, Gehandler, Jonatan, Stahl, Selim, Tomida, Mai, and Meacham, Brian

Published
2016
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22. Introducing Consciousnet : Internet Content as an Environment for Human-Machine Interaction

Author

Catania, Vincenzo, Patti, Davide, Sciacca, Mariagrazia, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Kobsa, Alfred, editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Weikum, Gerhard, editor, and Kurosu, Masaaki, editor

Published
2014
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23. Implementing a Main Loop in Dart : John McCutchan, Software Engineer, Google

Author

McAnlis, Colt, Lubbers, Petter, Jones, Brandon, Tebbs, Duncan, Manzur, Andrzej, Bennett, Sean, d’Erfurth, Florian, Garcia, Bruno, Lin, Shun, Popelyshev, Ivan, Gauci, Jason, Howard, Jon, Ballantyne, Ian, Freeman, Jesse, Kihira, Takuo, Smith, Tyler, Olmstead, Don, McCutchan, John, Austin, Chad, Pagella, Andres, McAnlis, Colt, Lubbers, Petter, Jones, Brandon, Tebbs, Duncan, Manzur, Andrzej, Bennett, Sean, d’Erfurth, Florian, Garcia, Bruno, Lin, Shun, Popelyshev, Ivan, Gauci, Jason, Howard, Jon, Ballantyne, Ian, Freeman, Jesse, Kihira, Takuo, Smith, Tyler, Olmstead, Don, McCutchan, John, Austin, Chad, and Pagella, Andres

Published
2014
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25. Comparative Evaluation of Interactive Segmentation Algorithms Using One Unified User Interactive Type.

Author

Soo See Chai, Kok Luong Goh, Hui Hui Wang, and Yin Chai Wang

Subjects
AUTOMATION, IMAGE processing, IMAGE databases, IMAGE storage & retrieval systems, IMAGE segmentation
Abstract

In interactive segmentation, user inputs are required to produce cues for the algorithms to extract the object of interest. Different input types were recommended by the researchers in their developed algorithms. The most common input types are points, strokes and bounding box. Different evaluation parameters were used in the researches in this field for comparison. Our previous work shows that, for non-complex image, segmentation result will not be affected by the user input type used. Complex images are defined as images whereby the colors of the objects of interest and the background are similar and vice-versa. In some of the complex images, parts of the color of the objects of interest are present in the background. This paper extends our previous work by using the proposed unified input types, which consists of a bounding box to locate the object of interest range and a stroke for the foreground, on three interactive segmentation algorithms for non-complex and complex image. Three different evaluation measures are computed to compare the segmentation quality: Variation of Information (VI), Global Consistency Error (GCE) and Jaccard index (JI). From the experiment results, it is noticed that, all three algorithms perform well for non-complex images but could not perform as good for complex images. [ABSTRACT FROM AUTHOR]

Published
2019

26. Program development and testing

Author

Andrew P. King and Paul Aljabar

Subjects
Iterative and incremental development, Computer science, Programming language, media_common.quotation_subject, Real-time computing, computer.software_genre, User input, Program analysis, Debugging, Program development, MATLAB, computer, media_common, computer.programming_language, Type I and type II errors
Abstract

This chapter covers the topic of program development and testing. An incremental approach to program development is introduced, in which a working version of the program is always maintained, starting with a trivial program, with additions to the program being made incrementally. Testing and validation are always performed after each increment. Error handling is also discussed, including ways to check that user input is valid, and MATLAB functions for reporting errors are described: the ‘error’, ‘warning’ and ‘try–catch’ statements. Program debugging is revisited and discussed in more detail along with common types of error that prevent programs from running successfully.

Published
2023

27. Starting Conversations with Search Engines -- Interfaces that Elicit Natural Language Queries

Author

Norbert Fuhr, Daniel Hienert, Alfred Sliwa, Dagmar Kern, Andrea Papenmeier, and Ahmet Aker

Subjects
FOS: Computer and information sciences, Information retrieval, Interface (Java), Computer science, business.industry, 05 social sciences, Information needs, 02 engineering and technology, E-commerce, User input, Computer Science - Information Retrieval, Informatik, Search engine, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, 0501 psychology and cognitive sciences, Product (category theory), business, 050107 human factors, Natural language, Information Retrieval (cs.IR), User-centered design
Abstract

Search systems on the Web rely on user input to generate relevant results. Since early information retrieval systems, users are trained to issue keyword searches and adapt to the language of the system. Recent research has shown that users often withhold detailed information about their initial information need, although they are able to express it in natural language. We therefore conduct a user study (N = 139) to investigate how four different design variants of search interfaces can encourage the user to reveal more information. Our results show that a chatbot-inspired search interface can increase the number of mentioned product attributes by 84% and promote natural language formulations by 139% in comparison to a standard search bar interface., Comment: In CHIIR '21: Proceedings of the 2021 Conference on Human Information Interaction and Retrieval

Published
2023
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32. Minimizing Human Effort in Reconciling Match Networks

Author

Quoc Viet Nguyen, Hung, Wijaya, Tri Kurniawan, Miklós, Zoltán, Aberer, Karl, Levy, Eliezer, Shafran, Victor, Gal, Avigdor, Weidlich, Matthias, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Ng, Wilfred, editor, Storey, Veda C., editor, and Trujillo, Juan C., editor

Published
2013
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33. MVIC – An MVC Extension for Interactive, Multimodal Applications

Author

Hesenius, Marc, Gruhn, Volker, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, and Drira, Khalil, editor

Published
2013
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34. Dynamic Label Propagation in Social Networks

Author

Du, Juan, Zhu, Feida, Lim, Ee-Peng, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Meng, Weiyi, editor, Feng, Ling, editor, Bressan, Stéphane, editor, Winiwarter, Werner, editor, and Song, Wei, editor

Published
2013
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35. Cross Anisotropic Cost Volume Filtering for Segmentation

Author

Kramarev, Vladislav, Demetz, Oliver, Schroers, Christopher, Weickert, Joachim, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Lee, Kyoung Mu, editor, Matsushita, Yasuyuki, editor, Rehg, James M., editor, and Hu, Zhanyi, editor

Published
2013
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40. Background

Author

Heinroth, Tobias, Minker, Wolfgang, Heinroth, Tobias, and Minker, Wolfgang

Published
2013
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41. Use of annual surveying to identify technology trends and improve service provision

Author

Hannah F. Norton, Michele R. Tennant, Mary E. Edwards, and Ariel Pomputius

Subjects
Mobile Technology, Surveys and Questionnaires, User Input, Bibliography. Library science. Information resources, Medicine
Abstract

Objective: At an academic health sciences library serving a wide variety of disciplines, studying library users’ technology use provides necessary information on intersection points for library services. Administering a similar survey annually for five years generated a holistic view of users’ technology needs and preferences over time. Methods: From 2012 to 2016, the University of Florida Health Science Center Library (HSCL) annually administered a sixteen-to-twenty question survey addressing health sciences users’ technology awareness and use and their interest in using technology to engage with the library and its services. The survey was distributed throughout the HSC via email invitation from liaison librarians to their colleges and departments and advertisement on the HSCL home page. Results: Smartphone ownership among survey respondents was nearly universal, and a majority of respondents also owned a tablet. While respondents were likely to check library hours, use medical apps, and use library electronic resources from their mobile devices, they were unlikely to friend or follow the library on Facebook or Twitter or send a call number from the catalog. Respondents were more likely to have used EndNote than any other citation management tool, but over 50% of respondents had never used each tool or never heard of it. Conclusions: Annual review of survey results has allowed librarians to identify users’ needs and interests, leading to incremental changes in services offered. Reviewing the aggregate data allowed strategic consideration of how technology impacts library interactions with users, with implications toward library marketing, training, and service development. This article has been approved for the Medical Library Association’s Independent Reading Program.

Published
2018
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42. Search for Minority Information from Wikipedia Based on Similarity of Majority Information

Author

Hattori, Yuki, Nadamoto, Akiyo, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Sheng, Quan Z., editor, Wang, Guoren, editor, Jensen, Christian S., editor, and Xu, Guandong, editor

Published
2012
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46. Survey of Pseudo-Haptics: Haptic Feedback Design and Application Proposals

Author

Yusuke Ujitoko and Yuki Ban

Subjects
Visual perception, Computer science, media_common.quotation_subject, Workaround, User input, Feedback, Computer Science Applications, Human-Computer Interaction, User-Computer Interface, Presentation, Feedback, Sensory, Research Design, Human–computer interaction, Haptic Technology, Humans, media_common, Haptic technology
Abstract

In the last two decades, the design of pseudo-haptics as a haptic presentation method that does not require a mechanical feedback device has been proposed in various research papers. Moreover, applications using pseudo-haptics have been proposed and evaluated in various contexts. However, the findings from these studies have not yet been comprehensively organized in a survey paper in the recent times. In this article, findings from a series of individual prior studies were summarized from the design through to the application proposals. First, we summarize visual stimuli designs based on the target haptic object properties to induce pseudo-haptics. Second, we summarize two special issues when designing pseudo-haptics; (1) workaround design for the visualized mismatch of visual stimuli and user input; and (2) the combination design of pseudo-haptics and physical stimuli. Third, application proposals that use pseudo-haptics for training, assistance, and entertainment are presented. This survey paper would help not only researchers in academia but also application developers who intend to use pseudo-haptics as a haptic presentation method.

Published
2021

47. Your mileage may vary: impact of data input method for a deep learning bone age app’s predictions

Author

Paul H. Yi, Emily Dunn, Haris I. Sair, and Alice C. Yu

Subjects
business.industry, Deep learning, Pattern recognition, Bone age, computer.file_format, Image capture, Mobile Applications, User input, Upload, Deep Learning, Test set, Humans, Medicine, Radiology, Nuclear Medicine and imaging, Smartphone, Artificial intelligence, Image file formats, Data input, Child, business, computer
Abstract

The purpose of this study was to evaluate agreement in predictions made by a bone age prediction application (“app”) among three data input methods. The 16Bit Bone Age app is a browser-based deep learning application for predicting bone age on pediatric hand radiographs; recommended data input methods are direct image file upload or smartphone-capture of image. We collected 50 hand radiographs, split equally among 5 bone age groups. Three observers used the 16Bit Bone Age app to assess these images using 3 different data input methods: (1) direct image upload, (2) smartphone photo of image in radiology reading room, and (3) smartphone photo of image in a clinic. Interobserver agreement was excellent for direct upload (ICC = 1.00) and for photos in reading room (ICC = 0.96) and good for photos in clinic (ICC = 0.82), respectively. Intraobserver agreement for the entire test set across the 3 data input methods was variable with ICCs of 0.95, 0.96, and 0.57 for the 3 observers, respectively. Our findings indicate that different data input methods can result in discordant bone age predictions from the 16Bit Bone Age app. Further study is needed to determine the impact of data input methods, such as smartphone image capture, on deep learning app performance and accuracy.

Published
2021

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