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检索条件"任意字段=Annual ACMsymposium on User Interface Software and Technology"

共 1578 条记录，以下是31-40 订阅

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UIClip: A Data-driven Model for Assessing user interface Design 24

UIClip: A Data-driven Model for Assessing User Interface Des...

引用

37th ACM annual Symposium on user interface software and technology (UIST)

作者： Wu, Jason Peng, Yi-Hao Li, Xin Yue Amanda Swearngin, Amanda Bigham, Jeffrey P. Nichols, Jeffrey Carnegie Mellon Univ HCI Inst Pittsburgh PA 15213 USA Apple Seattle WA USA Apple Pittsburgh PA USA

ISBN: (纸本)9798400706288

user interface (UI) design is a difficult yet important task for ensuring the usability, accessibility, and aesthetic qualities of applications. In our paper, we develop a machine-learned model, UIClip, for assessing the design quality and visual relevance of a UI given its screenshot and natural language description. To train UIClip, we used a combination of automated crawling, synthetic augmentation, and human ratings to construct a large-scale dataset of UIs, collated by description and ranked by design quality. Through training on the dataset, UIClip implicitly learns properties of good and bad designs by i) assigning a numerical score that represents a UI design's relevance and quality and ii) providing design suggestions. In an evaluation that compared the outputs of UIClip and other baselines to UIs rated by 12 human designers, we found that UIClip achieved the highest agreement with ground-truth rankings. Finally, we present three example applications that demonstrate how UIClip can facilitate downstream applications that rely on instantaneous assessment of UI design quality: i) UI code generation, ii) UI design tips generation, and iii) quality-aware UI example search.

关键词： UI Modeling UI Design Assessment Dataset

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WatchLink: Enhancing Smartwatches with Sensor Add-Ons via ECG interface 24

WatchLink: Enhancing Smartwatches with Sensor Add-Ons via EC...

引用

37th ACM annual Symposium on user interface software and technology (UIST)

作者： Waghmare, Anandghan Chatterjee, Ishan Iyer, Vikram Patel, Shwetak Univ Washington Paul G Allen Sch Comp Sci & Engn Seattle WA 98195 USA

ISBN: (纸本)9798400706288

We introduce a low-power communication method that lets smart-watches leverage existing electrocardiogram (ECG) hardware as a data communication interface. Our unique approach enables the connection of external, inexpensive, and low-power "add-on" sensors to the smartwatch, expanding its functionalities. These sensors cater to specialized user needs beyond those offered by pre-built sensor suites, at a fraction of the cost and power of traditional communication protocols, including Bluetooth Low Energy. To demonstrate the feasibility of our approach, we conduct a series of exploratory and evaluative tests to characterize the ECG interface as a communication channel on commercial smartwatches. We design a simple transmission scheme using commodity components, demonstrating cost and power benefits. Further, we build and test a suite of add-on sensors, including UV light, body temperature, buttons, and breath alcohol, all of which achieved testing objectives at low material cost and power usage. This research paves the way for personalized and user-centric wearables by offering a cost-efective solution to expand their functionalities.

关键词： ECG Sensing Low-power devices Wearable sensor add-ons usercentric wearables

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Towards Multimodal Interaction with AI-Infused Shape-Changing interfaces 37

Towards Multimodal Interaction with AI-Infused Shape-Changin...

引用

37th ACM annual Symposium on user interface software and technology (UIST)

作者： Gao, Chenfeng Qian, Wanli Liu, Richard Hanocka, Rana Nakagaki, Ken Univ Chicago Chicago IL 60637 USA

ISBN: (纸本)9798400707186

We present a proof-of-concept system exploring multimodal interaction with AI-infused Shape-Changing interfaces. Our prototype integrates inFORCE, a 10x5 pin-based shape display, with AI tools for 3D mesh generation and editing. users can create and modify 3D shapes through speech, gesture, and tangible inputs. We demonstrate potential applications including AI-assisted 3D modeling, adaptive physical controllers, and dynamic furniture. Our implementation, which translates text to point clouds for physical rendering, reveals both the potential and challenges of combining AI with shape-changing interfaces. This work explores how AI can enhance tangible interaction with 3D information and opens up new possibilities for multimodal shape-changing UIs.

关键词： Shape-Changing interface Multimodal Interaction Generative AI

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CARDinality: Interactive Card-shaped Robots with Locomotion and Haptics using Vibration 24

CARDinality: Interactive Card-shaped Robots with Locomotion ...

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37th ACM annual Symposium on user interface software and technology (UIST)

作者： Retnanto, Aditya Faracci, Emilie Sathya, Anup Hung, Yukai Nakagaki, Ken Univ Chicago Chicago IL 60637 USA Natl Taiwan Univ Taipei Taiwan

ISBN: (纸本)9798400706288

This paper introduces a novel approach to interactive robots by leveraging the form-factor of cards to create thin robots equipped with vibrational capabilities for locomotion and haptic feedback. The system is composed of fat-shaped robots with on-device sensing and wireless control, which offer lightweight portability and scalability. This research introduces a hardware prototype to explore the possibility of 'vibration-based omni-directional sliding locomotion'. Applications include augmented card playing, educational tools, and assistive technology, which showcase CARDinality's versatility in tangible interaction.

关键词： interaction design fat robot learning actuated tangible interface cards card robot

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user interface Constraints to Influence user Behaviour when Reading and Writing 36

User Interface Constraints to Influence User Behaviour when ...

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36th annual ACM Symposium on user interface software and technology (UIST)

作者： Joshi, Nikhita Univ Waterloo Cheriton Sch Comp Sci Waterloo ON Canada

ISBN: (纸本)9798400700965

Constraints are fundamental to human-centered design. Although by definition, constraints "limit" or "restrict" the capability of software, when designed correctly, they can have enabling characteristics as well. In my dissertation, I seek to understand how user interface constraints can influence user behaviour when reading and writing text. First, I discuss a document reader with auto-scrolling to facilitate time-bounded reading for increased focus. Second, I contribute the idea of limiting how much text can be highlighted in a document to encourage readers to think more about what is truly important in the document. Lastly, I discuss how constraining an AI writing assistant through prompts with varying levels of detail may improve a writer's feelings of ownership. Through these three projects, my dissertation will contribute novel constraints-based interaction techniques that can be integrated into new or existing systems, which is of interest to the UIST community and the HCI community more broadly.

关键词： interaction techniques interface design constraints

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SituationAdapt: Contextual UI Optimization in Mixed Reality with Situation Awareness via LLM Reasoning 24

SituationAdapt: Contextual UI Optimization in Mixed Reality ...

引用

37th ACM annual Symposium on user interface software and technology (UIST)

作者： Li, Zhipeng Gebhardt, Christoph Inglin, Yves Steck, Nicolas Streli, Paul Holz, Christian Swiss Fed Inst Technol Dept Comp Sci Zurich Switzerland

ISBN: (纸本)9798400706288

Mixed Reality is increasingly used in mobile settings beyond controlled home and office spaces. This mobility introduces the need for user interface layouts that adapt to varying contexts. However, existing adaptive systems are designed only for static environments. In this paper, we introduce SituationAdapt, a system that adjusts Mixed Reality UIs to real-world surroundings by considering environmental and social cues in shared settings. Our system consists of perception, reasoning, and optimization modules for UI adaptation. Our perception module identifies objects and individuals around the user, while our reasoning module leverages a Vision-and-Language Model to assess the placement of interactive UI elements. This ensures that adapted layouts do not obstruct relevant environmental cues or interfere with social norms. Our optimization module then generates Mixed Reality interfaces that account for these considerations as well as temporal constraints. For evaluation, we first validate our reasoning module's capability of assessing UI contexts in comparison to human expert users. In an online user study, we then establish SituationAdapt's capability of producing context-aware layouts for Mixed Reality, where it outperformed previous adaptive layout methods. We conclude with a series of applications and scenarios to demonstrate SituationAdapt's versatility.

关键词： Mixed Reality Adaptive user interfaces Large Language Models

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Pay Attention! Human-Centric Improvements of LLM-based interfaces for Assisting software Test Case Development 37

Pay Attention! Human-Centric Improvements of LLM-based Inter...

引用

37th annual ACM Symposium on user interface software and technology, UIST Adjunct 2024

作者： Shi, Billy Kristensson, Per Ola University of Cambridge Cambridge United Kingdom

ISBN: (纸本)9798400707186

Implementing automation testing is difficult and as a consequence there is a growing desire for semi-automated software testing systems with humans in the loop. Leveraging the growth of LLMs, recent research has demonstrated LLMs' potential to improve performance on test generation, reporting, and bug triaging. However, relatively little work has explored the interactivity issues that emerge in semi-automated LLM-assisted software test case development. To fill this gap, we present two user studies (N1 = 16, N2 = 24) that investigate productivity, creativity, and user attention in three semi-automated LLM-assisted interaction strategies: (1) pre-emptive prompting;(2) buffered response;and (3) guided input. We find that pre-emptively prompting the user significantly enhances branch coverage and task creativity by more than 30% while reducing user's off-task idle time by up to 48.7%. We conclude by suggesting concrete research directions applying mixed-initiative principles for LLM-based interactive systems for semi-automated software testing. © 2024 Copyright held by the owner/author(s).

关键词： software testing

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Can Capacitive Touch Images Enhance Mobile Keyboard Decoding? 24

Can Capacitive Touch Images Enhance Mobile Keyboard Decoding...

引用

37th ACM annual Symposium on user interface software and technology (UIST)

作者： Lertvittayakumjorn, Piyawat Cai, Shanqing Dou, Billy Ho, Cedric Zhai, Shumin Google Mountain View CA 94043 USA

ISBN: (纸本)9798400706288

Capacitive touch sensors capture the two-dimensional spatial profile (referred to as a touch heatmap) of a fingers contact with a mobile touchscreen. However, the research and design of touchscreen mobile keyboards one of the most speed and accuracy demanding touch interfaces has focused on the location of the touch centroid derived from the touch image heatmap as the input, discarding the rest of the raw spatial signals. In this paper, we investigate whether touch heatmaps can be leveraged to further improve the tap decoding accuracy for mobile touchscreen keyboards. Specifically, we developed and evaluated machine-learning models that interpret user taps by using the centroids and/or the heatmaps as their input and studied the contribution of the heatmaps to model performance. The results show that adding the heatmap into the input feature set led to 21.4% relative reduction of character error rates on average, compared to using the centroid alone. Furthermore, we conducted a live user study with the centroid-based and heatmap-based decoders built into Pixel 6 Pro devices and observed lower error rate, faster typing speed, and higher self-reported satisfaction score based on the heatmap-based decoder than the centroid-based decoder. These findings underline the promise of utilizing touch heatmaps for improving typing experience in mobile keyboards.

关键词： mobile text entry touch interface key decoding machine learning

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GPTVoiceTasker: Advancing Multi-step Mobile Task Efficiency Through Dynamic interface Exploration and Learning 24

GPTVoiceTasker: Advancing Multi-step Mobile Task Efficiency ...

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37th ACM annual Symposium on user interface software and technology (UIST)

作者： Minh Duc Vu Wang, Han Chen, Jieshan Li, Zhuang Zhao, Shengdong Xing, Zhenchang Chen, Chunyang CSIROs Data61 Melbourne Vic Australia Monash Univ Melbourne Vic Australia City Univ Hong Kong Hong Kong Peoples R China CSIROs Data61 Canberra ACT Australia Australian Natl Univ Canberra ACT Australia Tech Univ Munich Heilbronn Germany Monash Univ Heilbronn Germany

ISBN: (纸本)9798400706288

Virtual assistants have the potential to play an important role in helping users achieves different tasks. However, these systems face challenges in their real-world usability, characterized by inefficiency and struggles in grasping user intentions. Leveraging recent advances in Large Language Models (LLMs), we introduce GptVoiceTasker, a virtual assistant poised to enhance user experiences and task efficiency on mobile devices. GptVoiceTasker excels at intelligently deciphering user commands and executing relevant device interactions to streamline task completion. For unprecedented tasks, GptVoiceTasker utilises the contextual information and on-screen content to continuously explore and execute the tasks. In addition, the system continually learns from historical user commands to automate subsequent task invocations, further enhancing execution efficiency. From our experiments, GptVoiceTasker achieved 84.5% accuracy in parsing human commands into executable actions and 85.7% accuracy in automating multi-step tasks. In our user study, GptVoiceTasker boosted task efficiency in real-world scenarios by 34.85%, accompanied by positive participant feedback. We made GptVoiceTasker open-source, inviting further research into LLMs utilization for diverse tasks through prompt engineering and leveraging user usage data to improve efficiency.

关键词： Open systems

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FathomGPT: A Natural Language interface for Interactively Exploring Ocean Science Data 24

FathomGPT: A Natural Language Interface for Interactively Ex...

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37th ACM annual Symposium on user interface software and technology (UIST)

作者： Khanal, Nabin Yu, Chun Meng Chiu, Jui-Cheng Chaudhary, Anav Zhang, Ziyue Katija, Kakani Forbes, Angus G. Purdue Univ W Lafayette IN 47907 USA MBARI Moss Landing CA USA

ISBN: (纸本)9798400706288

We introduce FathomGPT, an open source system for the interactive investigation of ocean science data via a natural language interface. FathomGPT was developed in close collaboration with marine scientists to enable researchers to explore and analyze the FathomNet image database. FathomGPT provides a custom information retrieval pipeline that leverages OpenAI's large language models to enable: the creation of complex queries to retrieve images, taxonomic information, and scientific measurements;mapping common names and morphological features to scientific names;generating interactive charts on demand;and searching by image or specified patterns within an image. In designing FathomGPT, particular emphasis was placed on enhancing the user's experience by facilitating free-form exploration and optimizing response times. We present an architectural overview and implementation details of FathomGPT, along with a series of ablation studies that demonstrate the effectiveness of our approach to name resolution, fine tuning, and prompt modification. We also present usage scenarios of interactive data exploration sessions and document feedback from ocean scientists and machine learning experts.

关键词： Natural Language interfaces Ocean Science Scientifc Databases

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