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11th RSI International Conference on Robotics and Mechatronics, ICRoM 2023

作者： Ghasemi, Hamed Balazadeh, Elnaz Malekpour, Shayan Kalhor, Ahmad Masouleh, Mehdi Tale University of Tehran Human and Robot Interaction Laboratory School of Electrical and Computer Engineering Tehran Iran University of Tehran Human and Robot Interaction Laboratory Tehran Iran University of Tehran School of Electrical and Computer Engineering Department of Electrical and Computer Engineering Tehran Iran

ISBN: (纸本)9798350308105

This article presents two approaches based on deep learning for achieving autonomous navigation and subsequently, conducts an in-depth comparative analysis to elaborate their respective performance. Both methods leverage neural networks to facilitate navigation. The first approach employs a deep convolutional neural network to identify suitable areas for forward movement, while the second method utilizes the drone's front camera to capture images, which are then processed by a generative network to generate corresponding depth images. Importantly, both approaches rely solely on an RGB camera, resulting in cost savings for the robot and reduced energy consumption. The training data used for classifying collision-free and appropriate paths were gathered from simulated environments closely resembling real indoor settings. The proposed model calculates the probability associated with each segment of the input image, enabling the selection of the most viable area for drone flight. Incorporating generative networks as a depth estimation module enhances flight accuracy, making navigation in uncharted environments more straightforward. The accuracy of depth estimation was evaluated using standard criteria, achieving an accuracy rate of 84%. This result underscores the effectiveness of the proposed method. © 2023 IEEE.

关键词： Drones

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"This really lets us see the entire world:" Designing a conversational telepresence robot for homebound older adults

"This really lets us see the entire world:" Designing a conv...

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2024 ACM Designing Interactive Systems Conference, DIS 2024

作者： Hu, Yaxin Stegner, Laura Kotturi, Yasmine Zhang, Caroline Peng, Yi-Hao Huq, Faria Zhao, Yuhang Bigham, Jefrey P. Mutlu, Bilge Department of Computer Sciences University of Wisconsin–Madison United States Human-Computer Interaction Institute Carnegie Mellon University United States Department of Mathematics University of Wisconsin–Madison United States

ISBN: (纸本)9798400705830

In this paper, we explore the design and use of conversational telepresence robots to help homebound older adults interact with the external world. An initial needfnding study (N=8) using video vignettes revealed older adults’ experiential needs for robot-mediated remote experiences such as exploration, reminiscence and social participation. We then designed a prototype system to support these goals and conducted a technology probe study (N=11) to garner a deeper understanding of user preferences for remote experiences. The study revealed user interactive patterns in each desired experience, highlighting the need of robot guidance, social engagements with the robot and the remote bystanders. Our work identifes a novel design space where conversational telepresence robots can be used to foster meaningful interactions in the remote physical environment. We ofer design insights into the robot’s proactive role in providing guidance and using dialogue to create personalized, contextualized and meaningful experiences. © 2024 Copyright held by the owner/author(s).

关键词： Robots

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First or Third-Person Hearing? A Controlled Evaluation of Auditory Perspective on Embodiment and Sound Localization Performance 23

First or Third-Person Hearing? A Controlled Evaluation of Au...

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23rd IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2024

作者： Cheng, Yi Fei Heller, Laurie M. Cho, Stacey Lindlbauer, David Human-Computer Interaction Institute Carnegie Mellon University United States Carnegie Mellon University Department of Psychology United States

ISBN: (纸本)9798331516475

Virtual Reality (VR) allows users to flexibly choose the perspective through which they interact with a synthetic environment. Users can either adopt a first-person perspective, in which they see through the eyes of their virtual avatar, or a third-person perspective, in which their viewpoint is detached from the virtual avatar. Prior research has shown that the visual perspective affects different interactions and influences core experiential factors, such as the user's sense of embodiment. However, there is limited understanding of how auditory perspective mediates user experience in immersive virtual environments. In this paper, we conducted a controlled experiment $(N=24)$ on the effect of the user's auditory perspective on their performance in a sound localization task and their sense of embodiment. Our results showed that when viewing a virtual avatar from a third-person visual perspective, adopting the auditory perspective of the avatar may increase agency and self-avatar merging, even when controlling for variations in task difficulty caused by shifts in auditory perspective. Additionally, our findings suggest that differences in auditory perspective generally have a smaller effect than differences in visual perspective. We discuss the implications of our empirical investigation of audio perspective for designing embodied auditory experiences in VR. © 2024 IEEE.

关键词： Virtual environments

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Rehearsal Reality: Exploring the Visualization of Experts’ Mental Rehearsals from a First-Person Perspective to Support the Motor Learning of Novices

Rehearsal Reality: Exploring the Visualization of Experts’ ...

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2025 CHI Conference on human Factors in Computing Systems, CHI EA 2025

作者： Suzuki, Yuto Sakamoto, Daisuke Ono, Tetsuo Human-Computer Interaction Lab. Hokkaido University Sapporo Japan Division of Computer Science and Information Technology Hokkaido University Sapporo Japan

ISBN: (纸本)9798400713958

Understanding the cognitive aspects of motor learning is crucial for novices to enhance learning and performance. One approach is mental rehearsal—"the cognitive rehearsal of a task prior to performance"—which pre-activates neural pathways and fosters deeper cognitive understanding. Although highly efficient, mental rehearsal can be challenging for novices, who often struggle to form vivid imagery of unfamiliar skills. We propose a concept of rehearsal reality, an XR-based application that overlays the mental rehearsals of experts onto real practice environment. We developed rehearsal reality for golf putting based on expert golfers’ pre-putt mental imagery and conducted a qualitative study with 36 novice participants to understand novices’ subjective learning experiences. The results suggest that visualizing the mental rehearsals of experts can enhance the motor skills and external cognitive understanding of novices in golf putting. This finding can guide the potential of the mental rehearsals of experts as visual cues for motor learning. © 2025 Copyright held by the owner/author(s).

关键词： Visualization

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Segmentation and Immersive Visualization of Brain Lesions Using Deep Learning and Virtual Reality 19

Segmentation and Immersive Visualization of Brain Lesions Us...

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19th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry, VRCAI 2024

作者： Kelley, Brendan Plabst, Lucas Plabst, Lena Natural User Interaction Lab Colorado State University Fort CollinsCO United States Department of Human-Computer Interaction Julius Maximilian University of Würzburg Würzburg Germany

ISBN: (纸本)9798400713484

Magnetic resonance imaging (MRIs) are commonly used for diagnosing potential neurological disorders, however preparation and interpretation of MRI scans requires professional oversight. Additionally, MRIs are typically viewed as single cross sections of the affected regions which does not always capture the full picture of brain lesions and can be difficult to understand due to 2D's inherent abstraction of our 3D world. To address these challenges we propose a immersive visualization pipeline that combines deep learning image segmentation techniques using a VGG-16 model trained on MRI fluid attenuated inversion recovery (FLAIR) with virtual reality (VR) immersive analytics. Our visualization pipeline begins with our VGG-16 model predicting which regions of the brain are potentially affected by a disease. This output, along with the original scan, are then volumentrically rendered. These renders can then be viewed in VR using an head mounted display (HMD). Within the HMD users can move through the volumentric renderings to view the affected regions and utilize planes to view cross sections of the MRI scans. Our work provides a potential pipeline and tool for diagnosis and care. © 2024 ACM.

关键词： Image segmentation

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Planet Purifiers: A Collaborative Immersive Experience Proposing New Modifications to HOMER and Fishing Reel interaction Techniques

Planet Purifiers: A Collaborative Immersive Experience Propo...

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

作者： Alexander Giovannelli Fionn Murphy Trey Davis Chaerin Lee Rehema Abulikemu Matthew Gallagher Sahil Sharma Lee Lisle Doug A. Bowman Department of Computer Science Center for Human-Computer Interaction Virginia Tech Blacksburg VA USA

ISBN: (数字)9798331514846

ISBN: (纸本)9798331525637

This paper presents our solution to the 2025 3DUI Contest challenge. We aimed to develop a collaborative, immersive experience that raises awareness about trash pollution in natural landscapes while enhancing traditional interaction techniques in virtual environments. To achieve these objectives, we created an engaging multiplayer game where one user collects harmful pollutants while the other user provides medication to impacted wildlife using enhancements to traditional interaction techniques: HOMER and Fishing Reel. We enhanced HOMER to use a cone volume to reduce the precise aiming required by a selection raycast to provide a more efficient means to collect pollutants at large distances, coined as FLOW-MATCH. To improve the animal feed distribution to wildlife far away from the user with Fishing Reel, we created RAWR-XD, an asymmetric bi-manual technique to more conveniently adjust the reeling speed using the non-selecting wrist rotation of the user.

关键词： Wrist Three-dimensional displays Pollution Planets Wildlife Collaboration Virtual environments Immersive experience Games Food products

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Trust in and Acceptance of Video-based AAL Technologies 9

Trust in and Acceptance of Video-based AAL Technologies

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9th International Conference on Information and Communication Technologies for Ageing Well and e-Health, ICT4AWE 2023

作者： Otten, Sophia Wilkowska, Wiktoria Offermann, Julia Ziefle, Martina Communication Science Human-Computer Interaction Centre RWTH Aachen University Campus-Boulevard 57 Aachen Germany

ISBN: (纸本)9789897586453

Due to a growing demand and need for solutions that alleviate the strain on the overburdened healthcare system, video-based ambient assisted living (VAAL) technologies offer a good alternative to support individuals in need of help. In order to successfully implement such technologies into the living spaces of individuals with care needs, factors that determine their trust in, and acceptance of, such technology need to be examined in more detail. This study investigates perceptions on trust and its relationship with the acceptance criteria of VAAL technologies. In a mixed-methods design approach using focus groups and a questionnaire study, participants evaluated their trust and acceptance perceptions of VAAL technology and assessed its benefits and barriers. Results revealed significant relationships between the variables, signalling the relevance of understanding of how trust may influence the overall acceptance of VAAL technologies. Recommendations for future studies as well as applications of the findings are made. Copyright © 2023 by SCITEPRESS - science and Technology Publications, Lda. Under CC license (CC BY-NC-ND 4.0)

关键词： Assisted living

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AMachine Learning Approach to User Profiling for Data Annotation of Online Behavior

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computers, Materials & Continua 2024年第2期78卷 2419-2440页

作者： Moona Kanwal Najeed AKhan Aftab A.Khan Computer Science and Information Technology Department NED University of Engineering and TechnologyKarachiPakistan Computer Engineering Department Sir Syed University of Engineering and TechnologyKarachiPakistan College of Education Health and Human ServicesLongwood UniversityFarmvilleVAUSA

The user’s intent to seek online information has been an active area of research in user *** profiling considers user characteristics,behaviors,activities,and preferences to sketch user intentions,interests,and *** user characteristics can help capture implicit and explicit preferences and intentions for effective user-centric and customized content *** user’s complete online experience in seeking information is a blend of activities such as searching,verifying,and sharing it on social ***,a combination of multiple behaviors in profiling users has yet to be *** research takes a novel approach and explores user intent types based on multidimensional online behavior in information *** research explores information search,verification,and dissemination behavior and identifies diverse types of users based on their online engagement using machine *** research proposes a generic user profile template that explains the user characteristics based on the internet experience and uses it as ground truth for data *** feedback is based on online behavior and practices collected by using a survey *** participants include both males and females from different occupation sectors and different *** data collected is subject to feature engineering,and the significant features are presented to unsupervised machine learning methods to identify user intent classes or profiles and their *** techniques are evaluated,and the K-Mean clustering method successfully generates five user groups observing different user characteristics with an average silhouette of 0.36 and a distortion score of *** average is computed to identify user intent type *** user intent classes are then further generalized to create a user intent template with an Inter-Rater Reliability of 75%.This research successfully extracts different user types based on th

关键词： User intent cluster user profile online search information sharing user behavior search reasons

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Breath Tools: Exploring the Effects on Adherence and User Experience of 4 Sounds Assisting Runners with Coupling Breath to Steps

Breath Tools: Exploring the Effects on Adherence and User Ex...

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Extended Abstracts of the 2023 CHI Conference on human Factors in Computing Systems, CHI EA 2023

作者： Van Rheden, Vincent Harbour, Eric Finkenzeller, Thomas Meschtscherjakov, Alexander Human Computer Interaction Division Department of Artificial Intelligence and Human Interfaces University of Salzburg Salzburg Austria Department of Sport and Exercise Science University of Salzburg Rif Hallein Austria

ISBN: (纸本)9781450394222

Running is a popular sport worldwide. Locomotor-Respiratory Coupling (LRC), a breathing technique in which the breath is coupled to steps, can positively impact running experience and economy. LRC may be difficult to learn and maintain during a run. Sound cues are a promising method to guide LRC while running. We designed four guiding sounds and evaluated these in a preliminary study (N=9). All sounds supported participants with LRC (on average 74.9±16.2% of time attached to the LRC rhythm). Based on our findings we advocate sound guidance for LRC and present directions to improve adherence and run experience. © 2023 Owner/Author.

关键词： Sports

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CrowdSolve: Managing Tensions in an Expert-Led Crowdsourced Investigation

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Proceedings of the ACM on human-computer interaction 2021年第CSCW1期5卷 1-30页

作者： Venkatagiri, Sukrit Gautam, Aakash Luther, Kurt Department Of Computer Science Center For Human-Computer Interaction Virginia Tech-1 ArlingtonVA United States

Investigators in fields such as journalism and law enforcement have long sought the public's help with investigations. New technologies have also allowed amateur sleuths to lead their own crowdsourced investigations-that have traditionally only been the purview of expert investigators-with mixed results. Through an ethnographic study of a four-day, co-located event with over 250 attendees, we examine the human infrastructure responsible for enabling the success of an expert-led crowdsourced investigation. We find that the experts enabled attendees to generate useful leads;the attendees formed a community around the event;and the victims' families felt supported. Additionally, the co-located setting, legal structures, and emergent social norms impacted collaborative work practice. We also surface three important tensions to consider in future investigations and provide design recommendations to manage these tensions. © 2021 ACM.

关键词： Crowdsourcing

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