Proceedings of the ACM on Human-Computer Interaction最新文献_第4页

SeatmateVR: Proxemic Cues for Close Bystander-Awareness in Virtual Reality SeatmateVR:虚拟现实中近距离旁观者意识的邻近线索

Proceedings of the ACM on Human-Computer Interaction Pub Date : 2023-10-31 DOI: 10.1145/3626474

Jingyi Li, Hyerim Park, Robin Welsch, Sven Mayer, Andreas Butz

引用次数: 0

Reality and Beyond: Proxemics as a Lens for Designing Handheld Collaborative Augmented Reality 现实与超越:作为设计手持协作增强现实镜头的proxics

Proceedings of the ACM on Human-Computer Interaction Pub Date : 2023-10-31 DOI: 10.1145/3626463

Mille Skovhus Lunding, Jens Emil Sloth Grønbæk, Nicolai Grymer, Thomas Wells, Steven Houben, Marianne Graves Petersen

{"title":"Reality and Beyond: Proxemics as a Lens for Designing Handheld Collaborative Augmented Reality","authors":"Mille Skovhus Lunding, Jens Emil Sloth Grønbæk, Nicolai Grymer, Thomas Wells, Steven Houben, Marianne Graves Petersen","doi":"10.1145/3626463","DOIUrl":"https://doi.org/10.1145/3626463","url":null,"abstract":"Augmented Reality (AR) has shown great potential for supporting co-located collaboration. Yet, it is rarely articulated in the design rationales of AR systems that they promote a certain socio-spatial configuration of the users. Learning from proxemics, we argue that such configurations enable and constrain different co-located spatial behaviors with consequences for collaborative activities. We focus specifically on enabling different collaboration styles via the design of Handheld Collaborative Augmented Reality (HCAR) systems. Drawing upon notions of proxemics, we show how different HCAR designs enable different socio-spatial configurations. Through a design exploration, we demonstrate interaction techniques to expand on the notion of collaborative coupling styles by either deliberately designing for aligning with physical reality or going beyond. The main contributions are a proxemics-based conceptual lens and vocabulary for supporting interaction designers in being mindful of the proxemic consequences when developing handheld multi-user AR systems.","PeriodicalId":36902,"journal":{"name":"Proceedings of the ACM on Human-Computer Interaction","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135930028","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

1D-Touch: NLP-Assisted Coarse Text Selection via a Semi-Direct Gesture 1D-Touch:通过半直接手势的nlp辅助粗文本选择

Proceedings of the ACM on Human-Computer Interaction Pub Date : 2023-10-31 DOI: 10.1145/3626483

Jiang, Peiling, Feng, Li, Sun, Fuling, Sarkar, Parakrant, Xia, Haijun, Liu, Can

{"title":"1D-Touch: NLP-Assisted Coarse Text Selection via a Semi-Direct Gesture","authors":"Jiang, Peiling, Feng, Li, Sun, Fuling, Sarkar, Parakrant, Xia, Haijun, Liu, Can","doi":"10.1145/3626483","DOIUrl":"https://doi.org/10.1145/3626483","url":null,"abstract":"Existing text selection techniques on touchscreen focus on improving the control for moving the carets. Coarse-grained text selection on word and phrase levels has not received much support beyond word-snapping and entity recognition. We introduce 1D-Touch, a novel text selection method that complements the carets-based sub-word selection by facilitating the selection of semantic units of words and above. This method employs a simple vertical slide gesture to expand and contract a selection area from a word. The expansion can be by words or by semantic chunks ranging from sub-phrases to sentences. This technique shifts the concept of text selection, from defining a range by locating the first and last words, towards a dynamic process of expanding and contracting a textual semantic entity. To understand the effects of our approach, we prototyped and tested two variants: WordTouch, which offers a straightforward word-by-word expansion, and ChunkTouch, which leverages NLP to chunk text into syntactic units, allowing the selection to grow by semantically meaningful units in response to the sliding gesture. Our evaluation, focused on the coarse-grained selection tasks handled by 1D-Touch, shows a 20% improvement over the default word-snapping selection method on Android.","PeriodicalId":36902,"journal":{"name":"Proceedings of the ACM on Human-Computer Interaction","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135808583","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

WorldPoint: Finger Pointing as a Rapid and Natural Trigger for In-the-Wild Mobile Interactions WorldPoint:手指指向作为野外移动交互的快速和自然触发

Proceedings of the ACM on Human-Computer Interaction Pub Date : 2023-10-31 DOI: 10.1145/3626478

Daehwa Kim, Vimal Mollyn, Chris Harrison

引用次数: 0

Evaluating the Applicability of GUI-Based Steering Laws to VR Car Driving: A Case of Curved Constrained Paths 基于gui的转向规律在VR汽车驾驶中的适用性评估——以弯曲约束路径为例

Proceedings of the ACM on Human-Computer Interaction Pub Date : 2023-10-31 DOI: 10.1145/3626466

Shota Yamanaka, Takumi Takaku, Yukina Funazaki, Noboru Seto, Satoshi Nakamura

{"title":"Evaluating the Applicability of GUI-Based Steering Laws to VR Car Driving: A Case of Curved Constrained Paths","authors":"Shota Yamanaka, Takumi Takaku, Yukina Funazaki, Noboru Seto, Satoshi Nakamura","doi":"10.1145/3626466","DOIUrl":"https://doi.org/10.1145/3626466","url":null,"abstract":"Evaluating the validity of an existing user performance model in a variety of tasks is important for enhancing its applicability. The model studied in this work is the steering law for predicting the speed and time needed to perform tasks in which a cursor or a car passes through a constrained path. Previous HCI studies have refined this model to take additional path factors into account, but its applicability has only been evaluated in GUI-based environments such as those using mice or pen tablets. Accordingly, we conducted a user experiment with a driving simulator to measure the speed and time on curved roads and thus facilitate evaluation of models for pen-based path-steering tasks. The results showed that the best-fit models for speed and time had adjusted r^2 values of 0.9342 and 0.9723, respectively, for three road widths and eight curvature radii. While the models required some adjustments, the overall components of the tested models were consistent with those in previous pen-based experimental results. Our results demonstrated that user experiments to validate potential models based on pen-based tasks are effective as a pilot approach for driving tasks with more complex road conditions.","PeriodicalId":36902,"journal":{"name":"Proceedings of the ACM on Human-Computer Interaction","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135929883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

3D Finger Rotation Estimation from Fingerprint Images 基于指纹图像的三维手指旋转估计

Proceedings of the ACM on Human-Computer Interaction Pub Date : 2023-10-31 DOI: 10.1145/3626467

Yongjie Duan, Jinyang Yu, Jianjiang Feng, Ke He, Jiwen Lu, Jie Zhou

{"title":"3D Finger Rotation Estimation from Fingerprint Images","authors":"Yongjie Duan, Jinyang Yu, Jianjiang Feng, Ke He, Jiwen Lu, Jie Zhou","doi":"10.1145/3626467","DOIUrl":"https://doi.org/10.1145/3626467","url":null,"abstract":"Various touch-based interaction techniques have been developed to make interactions on mobile devices more effective, efficient, and intuitive. Finger orientation, especially, has attracted a lot of attentions since it intuitively brings three additional degrees of freedom (DOF) compared with two-dimensional (2D) touching points. The mapping of finger orientation can be classified as being either absolute or relative, suitable for different interaction applications. However, only absolute orientation has been explored in prior works. The relative angles can be calculated based on two estimated absolute orientations, although, a higher accuracy is expected by predicting relative rotation from input images directly. Consequently, in this paper, we propose to estimate complete 3D relative finger angles based on two fingerprint images, which incorporate more information with a higher image resolution than capacitive images. For algorithm training and evaluation, we constructed a dataset consisting of fingerprint images and their corresponding ground truth 3D relative finger rotation angles. Experimental results on this dataset revealed that our method outperforms previous approaches with absolute finger angle models. Further, extensive experiments were conducted to explore the impact of image resolutions, finger types, and rotation ranges on performance. A user study was also conducted to examine the efficiency and precision using 3D relative finger orientation in 3D object rotation task.","PeriodicalId":36902,"journal":{"name":"Proceedings of the ACM on Human-Computer Interaction","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135928983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

SurfaceCast: Ubiquitous, Cross-Device Surface Sharing SurfaceCast:无所不在的、跨设备的表面共享

Proceedings of the ACM on Human-Computer Interaction Pub Date : 2023-10-31 DOI: 10.1145/3626475

Florian Echtler, Vitus Maierhöfer, Nicolai Brodersen Hansen, Raphael Wimmer

{"title":"SurfaceCast: Ubiquitous, Cross-Device Surface Sharing","authors":"Florian Echtler, Vitus Maierhöfer, Nicolai Brodersen Hansen, Raphael Wimmer","doi":"10.1145/3626475","DOIUrl":"https://doi.org/10.1145/3626475","url":null,"abstract":"Real-time online interaction is the norm today. Tabletops and other dedicated interactive surface devices with direct input and tangible interaction can enhance remote collaboration, and open up new interaction scenarios based on mixed physical/virtual components. However, they are only available to a small subset of users, as they usually require identical bespoke hardware for every participant, are complex to setup, and need custom scenario-specific applications. We present SurfaceCast, a software toolkit designed to merge multiple distributed, heterogeneous end-user devices into a single, shared mixed-reality surface. Supported devices include regular desktop and laptop computers, tablets, and mixed-reality headsets, as well as projector-camera setups and dedicated interactive tabletop systems. This device-agnostic approach provides a fundamental building block for exploration of a far wider range of usage scenarios than previously feasible, including future clients using our provided API. In this paper, we discuss the software architecture of SurfaceCast, present a formative user study and a quantitative performance analysis of our framework, and introduce five example application scenarios which we enhance through the multi-user and multi-device features of the framework. Our results show that the hardware- and content-agnostic architecture of SurfaceCast can run on a wide variety of devices with sufficient performance and fidelity for real-time interaction.","PeriodicalId":36902,"journal":{"name":"Proceedings of the ACM on Human-Computer Interaction","volume":"158 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135928213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Seeing the Wind: An Interactive Mist Interface for Airflow Input 看到风:气流输入的交互式雾界面

Proceedings of the ACM on Human-Computer Interaction Pub Date : 2023-10-31 DOI: 10.1145/3626480

Tian Min, Chengshuo Xia, Takumi Yamamoto, Yuta Sugiura

引用次数: 0

Interactions across Displays and Space: A Study of Virtual Reality Streaming Practices on Twitch 跨显示和空间的交互:对Twitch上的虚拟现实流媒体实践的研究

Proceedings of the ACM on Human-Computer Interaction Pub Date : 2023-10-31 DOI: 10.1145/3626473

Liwei Wu, Qing Liu, Jian Zhao, Edward Lank

{"title":"Interactions across Displays and Space: A Study of Virtual Reality Streaming Practices on Twitch","authors":"Liwei Wu, Qing Liu, Jian Zhao, Edward Lank","doi":"10.1145/3626473","DOIUrl":"https://doi.org/10.1145/3626473","url":null,"abstract":"The growing live streaming economy and virtual reality (VR) technologies have sparked interest in VR streaming among streamers and viewers. However, limited research has been conducted to understand this emerging streaming practice. To address this gap, we conducted an in-depth thematic analysis of 34 streaming videos from 12 VR streamers with varying levels of experience, to explore the current practices, interaction styles, and strategies, as well as to investigate the challenges and opportunities for VR streaming. Our findings indicate that VR streamers face challenges in building emotional connections and maintaining streaming flow due to technical problems, lack of fluid transitions between physical and virtual environments, and not intentionally designed game scenes. As a response, we propose six design implications to encourage collaboration between game designers and streaming app developers, facilitating fluid, rich, and broad interactions for an enhanced streaming experience. In addition, we discuss the use of streaming videos as user-generated data for research, highlighting the lessons learned and emphasizing the need for tools to support streaming video analysis. Our research sheds light on the unique aspects of VR streaming, which combines interactions across displays and space.","PeriodicalId":36902,"journal":{"name":"Proceedings of the ACM on Human-Computer Interaction","volume":"301 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135929127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Interactive 3D Annotation of Objects in Moving Videos from Sparse Multi-view Frames 稀疏多视图帧运动视频中物体的交互式三维标注

Proceedings of the ACM on Human-Computer Interaction Pub Date : 2023-10-31 DOI: 10.1145/3626476

Kotaro Oomori, Wataru Kawabe, Fabrice Matulic, Takeo Igarashi, Keita Higuchi

{"title":"Interactive 3D Annotation of Objects in Moving Videos from Sparse Multi-view Frames","authors":"Kotaro Oomori, Wataru Kawabe, Fabrice Matulic, Takeo Igarashi, Keita Higuchi","doi":"10.1145/3626476","DOIUrl":"https://doi.org/10.1145/3626476","url":null,"abstract":"Segmenting and determining the 3D bounding boxes of objects of interest in RGB videos is an important task for a variety of applications such as augmented reality, navigation, and robotics. Supervised machine learning techniques are commonly used for this, but they need training datasets: sets of images with associated 3D bounding boxes manually defined by human annotators using a labelling tool. However, precisely placing 3D bounding boxes can be difficult using conventional 3D manipulation tools on a 2D interface. To alleviate that burden, we propose a novel technique with which 3D bounding boxes can be created by simply drawing 2D bounding rectangles on multiple frames of a video sequence showing the object from different angles. The method uses reconstructed dense 3D point clouds from the video and computes tightly fitting 3D bounding boxes of desired objects selected by back-projecting the 2D rectangles. We show concrete application scenarios of our interface, including training dataset creation and editing 3D spaces and videos. An evaluation comparing our technique with a conventional 3D annotation tool shows that our method results in higher accuracy. We also confirm that the bounding boxes created with our interface have a lower variance, likely yielding more consistent labels and datasets.","PeriodicalId":36902,"journal":{"name":"Proceedings of the ACM on Human-Computer Interaction","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135928378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0