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检索条件"任意字段=4th International Conference on Intelligent Computing and Human-Computer Interaction, ICHCI 2023"

共 312 条记录，以下是81-90 订阅

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Automatic Understanding of Affective and Social Signals by Multimodal Mimicry Recognition

Automatic Understanding of Affective and Social Signals by M...

引用

4th Bi-Annual international conference of the Humaine Association on Affective computing and intelligent interaction (ACII 2011)

作者： Sun, Xiaofan Nijholt, Anton Truong, Khiet P. Pantic, Maja Univ Twente NL-7500 AE Enschede Netherlands

ISBN: (纸本)9783642245701

human mimicry is one of the important behavioral cues displayed during social interaction that inform us about the interlocutors' interpersonal states and attitudes. For example, the absence of mimicry is usually associated with negative attitudes. A system capable of analyzing and understanding mimicry behavior could enhance social interaction, both in human-human and human-machine interaction, by informing the interlocutors about each other's interpersonal attitudes and feelings of affiliation. Hence, our research focus is the investigation of mimicry in social human-human and human-machine interactions with the aim to help improve the quality of these interactions. In particular, we aim to develop automatic multimodal mimicry analyzers, to enhance affect recognition and social signal understanding systems through mimicry analysis, and to implement mimicry behavior in Embodied Conversational Agents. this paper surveys and discusses the recent work we have carried out regarding these aims. It is meant to serve as an ultimate goal and a guide for determining recommendations for the development of automatic mimicry analyzers to facilitate affective computing and social signal processing.

关键词： Mimicry detection mimicry expression information extraction mimicry behavior encoding mimicry expression classification affective computing social signal processing embodied conversational agent

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Collapsible user interfaces for information retrieval agents 99

Collapsible user interfaces for information retrieval agents

引用

4th international conference on intelligent User Interfaces, IUI 1999

作者： Frank, Martin Szekely, Pedro USC/ISI 4676 Admiralty Way Marina del Rey90292 United States

ISBN: (纸本)9781581130980

this paper presents an architecture for information retrieval agents in which each agent declaratively describes its domain, input, output, and user interface. A mediating piece of software can then assemble software agents for a given information retrieval task, and produce a single, unified user interface for that task from the individual agents' descriptions. © 1998 Association for computing Machinery. All rights reserved.

关键词： human computer interaction

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Enhanced Implicit Collaborative Knowledge Graph for Recommendation

Enhanced Implicit Collaborative Knowledge Graph for Recommen...

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intelligent computing and human-computer interaction (ichci), international conference on

作者： Hao Guo Yicheng Sheng School of Computer Science and Information Engineering Hefei University of Technology Hefei China

Knowledge-aware Recommendation (KGR) with Graph Neural Network (GNN) aggregates information on the knowledge graph to capture high-order knowledge representations for the recommendation task, which becomes the mainstream approaches in the field of KGR. While these studies have achieved great success, we emphasize that strict supervision signals of training can have negative impacts on the model. Specifically, the supervision signals force the model to align constantly with sparse positive interaction data, which can result in the loss of valuable knowledge semantics. Moreover, it may also weaken model's ability to explore the potential interests for user. To address the aforementioned issues, we propose a new model named Enhanced Implicit Collaborative Knowledge Graph for Recommendation (EICKR), which uses a multi-task learning schema to extract user interests. this model calculates implicit relations among users, items, and entities to structure rich implicit features across different views. Subsequently, it leverages the knowledge graph and users' historical interaction data to generate an implicit collaborative knowledge graph, bridging the semantic difference between the knowledge graph and interaction data. Furthermore, a graph-enhanced completion task based on implicit relations is introduced to explore unobserved yet valuable interaction features among users, items, and entities, which can be complementary to the recommendation task. We conduct extensive experiments on benchmark datasets, which demonstrates the effectiveness of our approach and its components.

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Facial Recognition and Gesture-Based PC Interface with Voice Command Integration 4

Facial Recognition and Gesture-Based PC Interface with Voice...

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4th international conference on Ubiquitous computing and intelligent Information Systems, ICUIS 2024

作者： Deshmukh, Mandar Pothawale, Aatif Bedre, Piyush Dange, Anup G. H. Raisoni College of Engineering and Management Department of Computer Engineering Pune India

ISBN: (纸本)9798331529635

this integrated system uses the basis of integrating facial recognition, gesture-based control, and voice command execution to further human-computer interaction. this paper introduces an integrated system combining facial recognition, gesture-based control, and voice command execution. Traditional input devices, such as keyboard and mouse, often pose problems about usability, hygiene, and accessibility and are especially sensitive in cases such as hospitals and for people with disabilities. We have created a tri-modal interface that translates hand gestures to mouse movement or clicks, voice commands for hands-free operation, and ensures security through facial recognition. the system optimizes interaction efficiency and increases user security through access and setting up personalization for recognized users. It opens an intuitive and accessible interaction paradigm that will make PC operations less laborious, more hygienic, and secure in various settings. In conclusion, our proposed solution allows opening the doors to a more inclusive, efficient digital environment toward furthering modern human-computer interfaces. © 2024 IEEE.

关键词： Gesture recognition

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Feedback information expression and fusion method for human-robot interaction

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4th international conference on intelligent computing

作者： Zhao, Qijie Tu, Dawei Lu, Jianxia Huang, Zhihua Shanghai Univ Sch Mechatron Engn & Automat Shanghai 200072 Peoples R China

ISBN: (纸本)9783540874409

On the basis of analyzing the information fusion method for human-robot interaction, a kind of information feedback structure for human--robot interaction platform has been provided, the source feedback information is handled with multi-layer processed structure, and the processed multi-mode information is integrated with certain interactive rules and knowledge in interaction knowledge database. A set of feedback information expression and fusion method has been presented in information integration process, the abstract information from feedback multimodality is expressed by the situation of task execution process and the stability of feedback modality, and then these information is fused in light of the result of task execution, at last, the fusion result is delivered to user by the most stable feedback modality. Some experiments have been done with the provided methods in the human-robot interaction system, and parts of the experiment results show that user's cognition loads can be decreased by this semantic information fusion and feedback method, moreover, high work efficiency also can be gotten in human-robot interaction.

关键词： Feedback information human-robot interaction Information fusion Multi modality

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Analysis of Face Recognition Technique: Plastic Surgery Altered Face 4

Analysis of Face Recognition Technique: Plastic Surgery Alte...

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4th IEEE international conference on computing, Communication, and intelligent Systems, ICCCIS 2023

作者： Agarwal, Khushboo Dixit, Manish MITS Department of Computer Science and Engineering Gwalior India

ISBN: (纸本)9798350306118

human face recognition is used as an efficient tool in criminal identification but it deals with several challenges. One of the challenges that face by the face recognition system is plastic surgery. Plastic surgery is a sub-specialty of general surgery that focuses on correcting, repairing, or recreating defects or abnormalities in the human body, most commonly through the use of surgical techniques. Plastic surgery involves a wide range of subspecialties, such as breast augmentation, body contouring, and reconstructive surgery;however, it may also comprise treatments that are performed on the face. Enhancing face characteristics, fixing flaws, or enhancing attractiveness are the goals of facial plastic surgery. Recently their abrupt change in the field of plastic surgery it become easier to the criminal to pose a new face. In literature several face recognition challenges are addressed but problems in recognition of surgical altered face are not addressed thoroughly. In this paper, I will try to explore all the challenges of plastic surgery on human face recognition systems. © 2023 IEEE.

关键词： Face recognition

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Time Series-Based Electric Load Forecasting with Mixture of Expert System

Time Series-Based Electric Load Forecasting with Mixture of ...

引用

intelligent computing and human-computer interaction (ichci), international conference on

作者： Xinyi Chen Yi Yu Qingqing Huang Mingxi Shen Shuyun Wang Linhai Zhang Jiangsu Frontier Electric Technology Co. Ltd. Nanjing China School of Computer Science and Engineering Southeast University Nanjing China

In this paper, a novel approach for electric energy prediction utilizing a hybrid expert system integrated with a time series model is introduced. the proposed method leverages the concept of a hybrid expert system to construct multiple time series expert models, each equipped with its corresponding gating module, thereby enabling the selection of diverse expert models for enhanced electric energy prediction accuracy. the methodology comprises several key steps. First, the construction of a time series expert model involving the integration of three distinct time series methods. Second, the training of the time series expert model, encompassing hyperparameter optimization and parameter optimization procedures for each constructed model. third, the model blending process is based on the hybrid expert system, wherein the gating module is jointly trained alongside the time series expert models, allowing for the dynamic mixing of expert models based on varying input characteristics. Finally, the electric energy prediction is executed using the mixed expert combination within the hybrid expert system. Experimental results on real-world datasets demonstrated the effectiveness compared to competitive baselines.

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Visual presentation agents for 3D environments 99

Visual presentation agents for 3D environments

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4th international conference on intelligent User Interfaces, IUI 1999

作者： Paelke, Volker University of Paderborn C-LAB Füstenallee 11 Paderborn33094 Germany

We describe a platform independent system that provides reusable visual presentation techniques for use in highly interactive 3D environments like 3D interfaces. © 1998 Association for computing Machinery. All ri... 详细信息

ISBN: (纸本)9781581130980

关键词： Interactive computer graphics

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WordView: Understanding Words in Context 99

WordView: Understanding Words in Context

引用

4th international conference on intelligent User Interfaces, IUI 1999

作者： Normore, Lorraine Bendig, Mark Godby, Carol Jean OCLC - Online Computer Library Center Office of Research 6565 Frantz Road DublinOH43017 United States

WordView is a tool that shows how words are used in naturally occurring phrases to support the intelligent parsing of such phrases. It embodies an easy to understand graphic summary and a user-controllable inspection ... 详细信息

ISBN: (纸本)9781581130980

关键词： Information systems

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intelligent User Interfaces: An Introduction 99

Intelligent User Interfaces: An Introduction

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4th international conference on intelligent User Interfaces, IUI 1999

作者： Maybury, Mark Information Technology Center The MITRE Corporation 202 Burlington Road BedfordMA01730 United States

ISBN: (纸本)9781581130980

intelligent user interfaces promise to improve the interaction for all. Drawing upon material from the recently completed Readings in intelligent User Interfaces (IUI) (Maybury and Wahlster, 1998), this tutorial will define terms, outline the history, describe key subfields, and exemplify and demonstrate intelligent user interfaces in action. © 1998 Association for computing Machinery. All rights reserved.

关键词： user and discourse modelling intelligent user interfaces model-based interfaces intelligent multimedia interpretation and generation agent-based interfaces

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