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A Human-Robot Interaction System Calculating Visual Focus of Human's Attention Level

Partha Chakraborty, Sabbir Ahmed, Mohammad Abu Yousuf, Akm Azad, Salem A. Alyami, Mohammad Ali Moni
2021 IEEE Access  
INDEX TERMS Human-robot interaction, attention level, visual focus of attention, concentration, ANN, RNN-LSTM. 93410 VOLUME 9, 2021  ...  Attention is the mental awareness of human on a particular object or a piece of information. The level of attention indicates how intense the focus is on an object or an instance.  ...  In our earlier study [4] , we have established a human-robot interaction system to detect the visual focus of attention (VFOA) based on human attention (in case of both reading and browsing purposes).  ... 
doi:10.1109/access.2021.3091642 fatcat:y47vhus2fncmbgfv5wfbanskv4

A New Focus Strategy for Efficient Dialog Management [chapter]

Xinqi Bao, Yunfang Wu, Xueqiang Lv
2016 Lecture Notes in Computer Science  
In our experiment of a real-world application in an image purchase domain, our proposed focus strategy is far faster than both the partition method and the naï ve algorithm with comparable quality.  ...  For the first time, we propose a new focus strategy to deal with the former problem, by reducing the full slots of the user's goal into a small subset focus slot.  ...  The intuition is that when two people talk in a task-oriented conversation, they focus their attention only on a small portion that they know or are interested in.  ... 
doi:10.1007/978-3-319-47674-2_23 fatcat:wik5br7iubgjvfqkqtavogdrsa

Where Should Mobile Health Application Providers Focus Their Goals?

Xiaojia Wang, Kuo Du, Keyu Zhu, Shen Xu, Shanshan Zhang
2021 International Journal of Computational Intelligence Systems  
Therefore, this study established a domain-adaptive mobile health application evaluation model based on users' experience, and used an interactive algorithm combining machine learning and Delphi method  ...  At the same time, the mobile health application evaluation system established in this study adopts human-computer interaction, which can not only ensure efficiency, but also add expertise in the field  ...  Level 2 is a test of task performance to evaluate system validation and human-computer interaction in a laboratory environment.  ... 
doi:10.2991/ijcis.d.210305.001 fatcat:5wjaf7vj7fbbrkobey3qp2hpsq

Artificial Intelligence and Human Trust in Healthcare: Focus on Clinicians

Onur Asan, Alparslan Emrah Bayrak, Avishek Choudhury
2020 Journal of Medical Internet Research  
In this paper, we focus on clinicians as the primary users of AI systems in health care and present factors shaping trust between clinicians and AI.  ...  However, assessing the magnitude and impact of human trust on AI technology demands substantial attention. Will a clinician trust an AI-based system?  ...  Trust is a crucial factor influencing interactions between human beings, including their interactions with AI.  ... 
doi:10.2196/15154 pmid:32558657 fatcat:xkxxoka2ejeb5g6ual5ujexs2a

Ontology Alignment—A Survey with Focus on Visually Supported Semi-Automatic Techniques

Michael Granitzer, Vedran Sabol, Kow Weng Onn, Dickson Lukose, Klaus Tochtermann
2010 Future Internet  
Particular attention is given to user interfaces and visualization techniques supporting involvement of humans in the alignment process.  ...  This paper gives an overview on the state of the art in the field of visually supported semi-automatic alignment techniques and presents recent trends and developments.  ...  The images were taken from original publications or were included as provided, in both cases without performing any modifications.  ... 
doi:10.3390/fi2030238 fatcat:ptc5mdtxbffnlk3shc6aywrr5q

A Machine-Learning Classification Tree Model of Perceived Organizational Performance in U.S. Federal Government Health Agencies

In-Gu Kang, Nayoung Kim, Wei-Yin Loh, Barbara A. Bichelmeyer
2021 Sustainability  
Complex interaction patterns in high- and moderate-risk subgroups, the importance of a machine-learning approach to sustainable human resource management in industry 4.0, and the limitations and future  ...  The machine-learning classification decision-tree modeling identified several tree-splitting variables and classified 33 subgroups of employees with 2 high-risk, 6 moderate-risk and 25 low-risk subgroups  ...  Informed Consent Statement: Not applicable. Data Availability Statement: Publicly available datasets were analyzed in this study.  ... 
doi:10.3390/su131810329 fatcat:lhqj6kcaprah3hbxlxtedgbbbm

Review of Three-Dimensional Human-Computer Interaction with Focus on the Leap Motion Controller

Daniel Bachmann, Frank Weichert, Gerhard Rinkenauer
2018 Sensors  
Thus, the purpose of this paper is to survey the state-of-the-art Human-Computer Interaction (HCI) techniques with a focus on the special field of three-dimensional interaction.  ...  The figure illustrates the partial components of interaction between human and computer in a wider view.  ...  Author Contributions: All authors contributed extensively to the work presented in this paper.  ... 
doi:10.3390/s18072194 pmid:29986517 pmcid:PMC6068627 fatcat:x527tlhyzjdjpdrlsppwgm57m4

Real Life Applications of Fuzzy Decision Tree

Kavita Sachdeva, Madasu Hanmandlu, Amioy Kumar
2012 International Journal of Computer Applications  
It is being actively used in fields as varied as intrusion detection, flexible querying (modus ponens), analysis of cognitive process (Human Computer Interaction), for user authentication in biometrics  ...  , as parallel processing support, in stock-market, for information retrieval and data mining.  ...  User Modeling from Human-Computer Interaction A fundamental objective of human-computer interaction research is to make systems more usable, more useful, and to provide users with experiences fitting their  ... 
doi:10.5120/5729-7800 fatcat:rtpkialjwngwxe2awql5wkyvki

The Tree of Knowledge Project

Dean A. F. Gui, Gigi AuYeung
2013 International Journal of Virtual and Personal Learning Environments  
David Herold and his team at the Applied Social Sciences Department (APSS) at the Hong Kong Polytechnic University for their invaluable assistance with the Tree of Knowledge project.  ...  desktop publishing and web design; and to develop competence and confidence in basic human-computer interaction.  ...  projects, and incorporating creative tasks which extend beyond student projects: currently, a multimodal task is in place, requiring students to match images of human facial expressions with the appropriate  ... 
doi:10.4018/jvple.2013040105 fatcat:mpz4q53tmvgybejf2q46h2dfiu

Web dynamics

Mark Levene, Alexandra Poulovassilis
2001 Software Focus  
In particular, there is an urgent need to understand and manage the dynamics of the Web, in order to develop new techniques which will make the Web tractable.  ...  Finally, we summarise the talks given in a recent workshop devoted to Web dynamics which was held in the beginning of January 2001 at the University of London.  ...  In order to realise Berners-Lee's vision of a semantic Web [14] , machine learning techniques are being developed to automate ontology learning tasks, with the aim of producing human readable and understandable  ... 
doi:10.1002/swf.30 fatcat:ypv4mkfed5gkhnh5phhj4dubdy

Structure-aware Pre-training for Table Understanding with Tree-based Transformers [article]

Zhiruo Wang, Haoyu Dong, Ran Jia, Jia Li, Zhiyi Fu, Shi Han, Dongmei Zhang
2020 arXiv   pre-print
First, we propose a novel tree-based structure called a bi-dimensional coordinate tree, to describe both the spatial and hierarchical information in tables.  ...  Upon this, we extend the pre-training architecture with two core mechanisms, namely the tree-based attention and tree-based position embedding.  ...  Smaller can make local cells more "focus", but when is large enough (16 is the maximum distance in our tree definition), tree attention will perform in the same way with global attention.  ... 
arXiv:2010.12537v2 fatcat:kli75htw6rbprecahx5zavk544

Combining Improvements for Exploiting Dependency Trees in Neural Semantic Parsing [article]

Defeng Xie and Jianmin Ji and Jiafei Xu and Ran Ji
2021 arXiv   pre-print
The dependency tree of a natural language sentence can capture the interactions between semantics and words.  ...  In this paper, we examine three methods to incorporate such dependency information in a Transformer based semantic parser and empirically study their combinations.  ...  It has shown that syntax information of input natural language sentences can be helpful for the encoder in neural machine translation (NMT) tasks [1].  ... 
arXiv:2112.13179v1 fatcat:speapueqczbnrohirakzqxw4fq

An adaptive focus-of-attention model for video surveillance and monitoring

James W. Davis, Alexander M. Morison, David D. Woods
2006 Machine Vision and Applications  
We address this issue by automatically building an adaptive, focusof-attention, scene-specific model using standard PTZ camera hardware.  ...  The adaptive model is constructed by first detecting local human activity (i.e., any translating object with a specific temporal signature) at discrete locations across a PTZ camera's entire viewable field  ...  Related work Our work spans several areas of computer and machine vision including human detection/activity recognition, scene modeling, and scene scanning as focus-of-attention.  ... 
doi:10.1007/s00138-006-0047-x fatcat:logpcaxqibbmrmz3hydhtxyf7a

Interleaving Monte Carlo Tree Search and Self-Supervised Learning for Object Retrieval in Clutter [article]

Baichuan Huang, Teng Guo, Abdeslam Boularias, Jingjin Yu
2022 arXiv   pre-print
In this study, working with the task of object retrieval in clutter, we have developed a robot learning framework in which Monte Carlo Tree Search (MCTS) is first applied to enable a Deep Neural Network  ...  (DNN) to learn the intricate interactions between a robot arm and a complex scene containing many objects, allowing the DNN to partially clone the behavior of MCTS.  ...  This S2→S1 thinking has gained significant attention and has been explored in many directions in machine learning, including attempts at building machines with consciousness [2] .  ... 
arXiv:2202.01426v3 fatcat:nh5jbfkzcnaebkuqjpiadwfo4a

Innovation trajectories for information visualizations: Comparing treemaps, cone trees, and hyperbolic trees

Ben Shneiderman, Cody Dunne, Puneet Sharma, Ping Wang
2011 Information Visualization  
This paper reviews the trajectory of three information visualization innovations: treemaps, cone trees, and hyperbolic trees.  ...  These three ideas were first published around the same time in the early 1990s, so we are able to track academic publications, patents, and trade press articles over almost two decades.  ...  The Technology Acceptance Model 9 focused on perceived usefulness and perceived ease of use, but later versions incorporated other parameters. 10 Measuring durability (also called sustainability) over  ... 
doi:10.1177/1473871611424815 fatcat:ikc5yhi4angbnhcjyucrdygf4m
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