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IEEE Transactions on Artificial Intelligence 2024年第11期5卷 5709-5719页

作者： Ashwini, B. Deeptanshu Gulati, Sheffali Shukla, Jainendra Human-Machine Interaction Laboratory Delhi New Delhi110020 India All India Institute of Medical Sciences Department of Pediatrics Child Neurology Division Centre of Excellence and Advanced Research for Childhood Neurodevelopmental Disorders New Delhi110029 India Department of Computer Science and Engineering Delhi New Delhi110020 India

The identification of autism spectrum disorder (ASD) faces challenges due to the lack of reliable biomarkers and the subjectivity in diagnostic procedures, necessitating improved tools for objectivity and efficiency. Being a key characteristic of autism, language impairments are regarded as potential markers for identifying ASD. However, current research predominantly focuses on analyzing language characteristics in English, overlooking linguistic and contextual specificities in other resource-constrained languages. Motivated by these, we developed an artificial intelligence (AI)-based system to detect ASD, utilizing a range of acoustic and linguistic features extracted from dyadic conversations between a child and their communication partner. Validating our model on 76 English-speaking children [35 ASD and 41 typically developing (TD)] and 33 Hindi-speaking children (15 ASD and 18 TD), our extensive analysis of a diverse and comprehensive set of acoustic and linguistic speech attributes, including lexical, syntactic, semantic, and pragmatic elements revealed reliable speech attributes as predictors of ASD. This comprehensive analysis achieved a remarkable macro F1-score of approximately ∼91.30%. We further addressed the influence of linguistic diversity on speech-based ASD assessment by examining speech behaviors in both English and the low-resource language, Hindi. Specific features such as adverbs and distinct roots contributed significantly to ASD classification in English, while the proportion of unintelligible utterances and adposition use held greater importance in Hindi. This study underscores the reliability of speech-based biomarkers in ASD assessment, emphasizing their effectiveness across diverse linguistic backgrounds and highlighting the need for language-specific research in this domain. © 2024 IEEE.

关键词： Semantics

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Evaluating the Feasibility of Predicting Information Relevance During Sensemaking with Eye Gaze Data

Evaluating the Feasibility of Predicting Information Relevan...

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International Symposium on Mixed and Augmented Reality (ISMAR)

作者： Ibrahim A. Tahmid Lee Lisle Kylie Davidson Kirsten Whitley Chris North Doug A. Bowman Department of Computer Science Center for Human-Computer Interaction Virginia Tech US Department of Defense

Eye gaze patterns vary based on reading purpose and complexity, and can provide insights into a reader’s perception of the content. We hypothesize that during a complex sensemaking task with many text-based documents, we will be able to use eye-tracking data to predict the importance of documents and words, which could be the basis for intelligent suggestions made by the system to an analyst. We introduce a novel eye-gaze metric called ‘GazeScore’ that predicts an analyst’s perception of the relevance of each document and word when they perform a sensemaking task. We conducted a user study to assess the effectiveness of this metric and found strong evidence that documents and words with high GazeScores are perceived as more relevant, while those with low GazeScores were considered less relevant. We explore potential real-time applications of this metric to facilitate immersive sensemaking tasks by offering relevant suggestions.

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CLUE HOG: An Immersive Competitive Lock-Unlock Experience using Hook On Go-Go Technique for Authentication in the Metaverse

CLUE HOG: An Immersive Competitive Lock-Unlock Experience us...

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Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), IEEE Conference on

作者： Alexander Giovannelli Francielly Rodrigues Shakiba Davari Ibrahim A. Tahmid Logan Lane Cherelle Connor Kylie Davidson Gabriella N. Ramirez Brendan David-John Doug A. Bowman Department of Computer Science Center for Human-Computer Interaction Virginia Tech Blacksburg VA USA

This paper presents our solution to the 2023 3DUI Contest challenge. Our goal was to provide an immersive VR experience to engage users in privately securing and accessing information in the Metaverse while improving authentication-related interactions inside our virtual environment. To achieve this goal, we developed an authentication method that uses a virtual environment's individual assets as security tokens. To improve the token selection process, we introduce the HOG interaction technique. HOG combines two classic interaction techniques, Hook and Go-Go, and improves approximate object targeting and further obfuscation of user password token selections. We created an engaging mystery-solving mini-game to demonstrate our authentication method and interaction technique.

关键词： Three-dimensional displays Metaverse Conferences Authentication Passwords User interfaces Observers

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A Communication-Focused Framework for Understanding Immersive Collaboration Experiences

A Communication-Focused Framework for Understanding Immersiv...

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Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), IEEE Conference on

作者： Jerald Thomas Sang Won Lee Alexander Giovannelli Logan Lane Doug Bowman Department of Computer Science Center for Human-Computer Interaction Virginia Tech Blacksburg VA USA

The ability to collaborate with other people across barriers created by time and/or space is one of the greatest features of modern communication. Immersive technologies are positioned to enhance this ability to collaborate even further. However, we do not have a firm understanding of how specific immersive technologies, or components thereof, alter the ability for two or more people to communicate, and hence collaborate. In this work-in-progress position paper, we propose a new framework for immersive collaboration experiences and provide an example of how it could be used to understand a hybrid collaboration among two co-located users and one remote user. We are seeking feedback from the community before conducting a formal evaluation of the framework. We also present some future work that this framework could facilitate.

关键词： Social computing Solid modeling Three-dimensional displays Conferences Computational modeling Collaboration Virtual reality

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Real-Time Facial Expression Recognition using Facial Landmarks and Neural Networks 12

Real-Time Facial Expression Recognition using Facial Landmar...

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12th Iranian/2nd International Conference on Machine Vision and Image Processing, MVIP 2022

作者： Haghpanah, Mohammad A. Saeedizade, Ehsan Masouleh, Mehdi Tale Kalhor, Ahmad University of Tehran Human and Robot Interaction Lab School of Electrical and Computer Engineering Tehran Iran University of Nevada Department of Computer Science and Engineering Reno United States

ISBN: (纸本)9781665412162

This paper presents a lightweight algorithm for feature extraction, classification of seven different emotions, and facial expression recognition in a real-time manner based on static images of the human face. In this regard, a Multi-Layer Perceptron (MLP) neural network is trained based on the foregoing algorithm. In order to classify human faces, first, some pre-processing is applied to the input image, which can localize and cut out faces from it. In the next step, a facial landmark detection library is used, which can detect the landmarks of each face. Then, the human face is split into upper and lower faces, which enables the extraction of the desired features from each part. In the proposed model, both geometric and texture-based feature types are taken into account. After the feature extraction phase, a normalized vector of features is created. A 3-layer MLP is trained using these feature vectors, leading to 96% accuracy on the test set. © 2022 IEEE.

关键词： Emotion Recognition

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Spaces to Think: A Comparison of Small, Large, and Immersive Displays for the Sensemaking Process

Spaces to Think: A Comparison of Small, Large, and Immersive...

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International Symposium on Mixed and Augmented Reality (ISMAR)

作者： Lee Lisle Kylie Davidson Leonardo Pavanatto Ibrahim A. Tahmid Chris North Doug A. Bowman Department of Computer Science Center for Human-Computer Interaction Virginia Tech Department of Computer Science Sanghani Center Virginia Tech

Analysts need to process large amounts of data in order to extract concepts, themes, and plans of action based upon their findings. Different display technologies offer varying levels of space and interaction methods that change the way users can process data using them. In a comparative study, we investigated how the use of single traditional monitor, a large, high-resolution two-dimensional monitor, and immersive three-dimensional space using the Immersive Space to Think approach impact the sensemaking process. We found that user satisfaction grows and frustration decreases as available space increases. We observed specific strategies users employ in the various conditions to assist with the processing of datasets. We also found an increased usage of spatial memory as space increased, which increases performance in artifact position recall tasks. In future systems supporting sensemaking, we recommend using display technologies that provide users with large amounts of space to organize information and analysis artifacts.

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Opportunities for Serious Game Technologies to Engage Children with Autism in a Pakistani Sociocultural and Institutional Context: An investigation of the design space for serious game technologies to enhance engagement of children with autism and to facilitate external support provided 34

Opportunities for Serious Game Technologies to Engage Childr...

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34th Australian computer-human interaction Conference: Connected Creativity, OzCHI 2022

作者： Muneeb, Sara Sitbon, Laurianne Ahmad, Faizan Research Center for Human Computer Interaction Comsats University Islamabad Lahore Campus Pakistan Department of Computer Science Queensland University of Technology Australia Department of Computer Science School of Technologies Cardiff Metropolitan University United Kingdom

ISBN: (纸本)9798400700248

Usability and design of serious game technologies have been widely investigated as academic interventions tools for children with autism. However, besides the technology, the sociocultural and institutional context also impacts the gameplay activities of children with autism as well as the external support provided by instructors. Therefore, this paper investigates i) the impact of sociocultural and institutional context over the engagement of children with autism with serious game technologies, ii) the types of external support children with autism are offered or require during gameplay session, and iii) the type of rewards and encouragers that can act as unbiased support to increase the engagement of the children with autism during gameplay. This paper investigates these factors with an inductive analysis of educational gameplay activities of 23 children with autism in Lahore, Pakistan. Our study found that sociocultural and institutional context has substantial impact over the gameplay activities of children with autism. Children required both physical and verbal support during the gameplay activities, and institutional context influences the behavior of instructors as well. Finally, dynamic animations, rewards and encouragers can keep the children engaged for longer in the gameplay. © 2022 ACM.

关键词： Serious games

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A Technical User Study on an Authoring Tool for Simplifying VR Study Setups in HRI Research 20

A Technical User Study on an Authoring Tool for Simplifying ...

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20th Annual ACM/IEEE International Conference on human-Robot interaction, HRI 2025

作者： Helgert, André Eimler, Sabrina C. Gross, Tom Institute of Computer Science Ruhr West University of Applied Sciences Bottrop Germany Human-Computer Interaction Group University of Bamberg Bamberg Germany

ISBN: (纸本)9798350378931

This paper presents a novel virtual reality (VR) authoring tool designed to simplify the creation of human-robot interaction (HRI) studies. The tool was developed to lower the technical barriers in VR development and allows researchers to simulate complex robot interactions without the need for advanced programming skills. It incorporates key HRI methods such as the Wizard of Oz (WoZ) technique, eye-tracking and motion tracking, and provides a comprehensive platform for data collection and study customization. A technical user study with computer scientists was carried out to evaluate the technical applicability of the tool. The participants confirmed the user-friendliness, flexibility and accessibility of the tool and furthermore found the tool efficient and expressed a strong interest in using it for future research. The results underline the tool's potential to expand the use of VR in HRI research, especially for non-technical researchers. © 2025 IEEE.

关键词： Robot programming

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Beyond Coding: Empowering HRI Researchers with an Authoring Tool for Simplified VR Studies

Beyond Coding: Empowering HRI Researchers with an Authoring ...

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IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)

作者： André Helgert Sabrina C. Eimler Tom Gross Institute of Computer Science Ruhr West University of Applied Sciences Bottrop Germany Human-Computer Interaction Group University of Bamberg Bamberg Germany

ISBN: (数字)9798331521578

ISBN: (纸本)9798331521585

Although Virtual Reality (VR) is a promising tool in today's human-Robot interaction (HRI) research, the technical hurdle of creating high-quality and customized VR applications for one's own research prevents its comprehensive use. To address this problem, we present a VR authoring tool for HRI research, allowing non-technical researchers to create individual study designs in a simplified manner with predefined environments, robots, and measurement methods. Furthermore, the authoring tool has a highly modularized structure so that it can be adapted to a wide range of use cases. Technical details are presented, covering UI/UX decisions in the study design process and the visual programming interface for the creation of the interaction scheme of the robot, as well as the data management system that transfers researchers' study setups into a suitable VR application. The VR authoring tool is intended to bridge the gap between the practical applicability of VR as a research tool and the required technical implementation expertise for VR applications.

关键词： Visualization Authoring systems human-robot interaction Virtual reality Programming Encoding Artificial intelligence Robots

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A Technical User Study on an Authoring Tool for Simplifying VR Study Setups in HRI Research 25

A Technical User Study on an Authoring Tool for Simplifying ...

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ACM/IEEE International Conference on human-Robot interaction (HRI)

ISBN: (数字)9798350378931

ISBN: (纸本)9798350378948

关键词： Authoring systems Tracking human-robot interaction Virtual reality Gaze tracking Programming Data collection Robots

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