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Enabling Advanced Interactions through Closed-loop Control of Motor Unit Activity After Tetraplegia 37

Enabling Advanced Interactions through Closed-loop Control o...

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37th acm Annual symposium on user interface software and technology (UIST)

作者： Despradel, Dailyn Despradel Murphy, Max Borda, Luigi Verma, Nikhil Yadav, Prakarsh Shanahan, Jenn Marshall, Najja Formento, Emanuele Bracklein, Mario Ye, Jun Walkington, Peter Rajalingham, Rishi Sussillo, David Naufel, Stephanie Gutnisky, Diego Adrian Collinger, Jennifer Weber, Douglas Carnegie Mellon Univ Pittsburgh PA 15213 USA Meta Platforms Inc Real Labs New York NY USA Univ Pittsburgh Pittsburgh PA USA

ISBN: (纸本)9798400707186

Studies have shown that most individuals with motor complete spinal cord injuries (SCIs) can activate motor units (MUs) below the injury level, potentially enabling the use of myoelectric controllers for computer tasks. We present a novel wearable neuromotor interface driven by surface electromyography (sEMG). This wearable sEMG interface detects motor unit action potentials (MUAPs) from an array of sensors on the forearm. The MU event rate is translated (i.e. decoded) into discrete or continuous inputs for emulating button presses or joystick inputs. Our study demonstrates real-time detection and decoding of MUAPs in two individuals with tetraplegia, enabling computer task control via a non-invasive interface. Participants calibrated a spike sorting model through periods of rest and tonic activation, mapping MUAP firing rates to various degrees of freedom (DOF) for cursor or character control in tasks and 2D games. Each MUAP was mapped to a separate DOF axis, which we utilized in a Fitts' Law target acquisition task to evaluate device throughput rate and other performance metrics such as completion rate, initiation time, time to target acquisition, and dial-in time. Our findings highlight MU firing as an effective control input, enabling gaming and social interaction for individuals with tetraplegia. This device's wearability and ease of use offer an innovative human-computer interaction solution that may enable people with SCI to interact freely with computers and other digital devices.

关键词： Human-Computer Interaction (HCI) Surface Electromyography (sEMG) Cervical Spinal Cord Injury (SCI) Tetraplegia Myoelectric Control Wearable Neuromotor interface Motor Units Motor Unit Firing Firing Rate Fitts' Law

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Selfrionette: A Fingertip Force-Input Controller for Continuous Full-Body Avatar Manipulation and Diverse Haptic Interactions 24

Selfrionette: A Fingertip Force-Input Controller for Continu...

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37th Annual acm symposium on user interface software and technology, UIST 2024

作者： Hashimoto, Takeru Hirao, Yutaro The University of Tokyo Bunkyo Tokyo Japan Nara Institute of Science and Technology Ikoma Nara Japan

ISBN: (纸本)9798400706288

We propose Selfrionette, a controller that uses fingertip force input to drive avatar movements in virtual reality (VR). This system enables users to interact with virtual objects and walk in VR using only fingertip force, overcoming physical and spatial constraints. Additionally, by fixing users' fingers, it provides users with counterforces equivalent to the applied force, allowing for diverse and wide dynamic range haptic feedback by adjusting the relationship between force input and virtual movement. To evaluate the effectiveness of the proposed method, this paper focuses on hand interaction as a first step. In user Study 1, we measured usability and embodiment during reaching tasks under Selfrionette, body tracking, and finger tracking conditions. In user Study 2, we investigated whether users could perceive haptic properties such as weight, friction, and compliance under the same conditions as user Study 1. Selfrionette was found to be comparable to body tracking in realism of haptic interaction, enabling embodied avatar experiences even in limited spatial conditions. © 2024 Owner/Author.

关键词： Virtual reality

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SERENUS: Alleviating Low-Battery Anxiety Through Real-time, Accurate, and user-Friendly Energy Consumption Prediction of Mobile Applications 24

SERENUS: Alleviating Low-Battery Anxiety Through Real-time, ...

引用

37th Annual acm symposium on user interface software and technology, UIST 2024

作者： Lee, Sera Jeong, Dae R. Choi, Junyoung Kwak, Jaeheon Son, Seoyun Song, Jean Y. Shin, Insik School of Computing KAIST Daejeon Korea Republic of Electrical Engineering and Computer Science DGIST Daegu Korea Republic of

ISBN: (纸本)9798400706288

Low-battery anxiety has emerged as a result of growing dependence on mobile devices, where the anxiety arises when the battery level runs low. While battery life can be extended through power-efficient hardware and software optimization techniques, low-battery anxiety will still remain a phenomenon as long as mobile devices rely on batteries. In this paper, we investigate how an accurate real-time energy consumption prediction at the application-level can improve the user experience in low-battery situations. We present Serenus, a mobile system framework specifically tailored to predict the energy consumption of each mobile application and present the prediction in a user-friendly manner. We conducted user studies using Serenus to verify that highly accurate energy consumption predictions can effectively alleviate low-battery anxiety by assisting users in planning their application usage based on the remaining battery life. We summarize requirements to mitigate users' anxiety, guiding the design of future mobile system frameworks. © 2024 Owner/Author.

关键词： Mobile applications

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Graphologue: Exploring Large Language Model Responses with Interactive Diagrams 23

Graphologue: Exploring Large Language Model Responses with I...

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36th Annual acm symposium on user interface software and technology (UIST)

作者： Jiang, Peiling Dow, Steven P. Rayan, Jude Xia, Haijun Univ Calif San Diego La Jolla CA 92093 USA

ISBN: (纸本)9798400701320

Large language models (LLMs) have recently soared in popularity due to their ease of access and the unprecedented ability to synthesize text responses to diverse user questions. However, LLMs like ChatGPT present signifcant limitations in supporting complex information tasks due to the insufcient afordances of the text-based medium and linear conversational structure. Through a formative study with ten participants, we found that LLM interfaces often present long-winded responses, making it difcult for people to quickly comprehend and interact fexibly with various pieces of information, particularly during more complex tasks. We present Graphologue, an interactive system that converts text-based responses from LLMs into graphical diagrams to facilitate information-seeking and question-answering tasks. Graphologue employs novel prompting strategies and interface designs to extract entities and relationships from LLM responses and constructs node-link diagrams in real-time. Further, users can interact with the diagrams to fexibly adjust the graphical presentation and to submit context-specifc prompts to obtain more information. Utilizing diagrams, Graphologue enables graphical, non-linear dialogues between humans and LLMs, facilitating information exploration, organization, and comprehension.

关键词： Large Language Model Natural Language interface Visualization

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Towards Flexible and Robust user interface Adaptations With Multiple Objectives 23

Towards Flexible and Robust User Interface Adaptations With ...

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36th Annual acm symposium on user interface software and technology (UIST)

作者： Johns, Christoph Albert Belo, Joao Marcelo Evangelista Feit, Anna Maria Klokmose, Clemens Nylandsted Pfeuffer, Ken Aarhus Univ Aarhus Denmark Saarland Univ Saarbrucken Germany

ISBN: (纸本)9798400701320

This paper proposes a new approach for online UI adaptation that aims to overcome the limitations of the most commonly used UI optimization method involving multiple objectives: weighted sum optimization. Weighted sums are highly sensitive to objective formulation, limiting the effectiveness of UI adaptations. We propose ParetoAdapt, an adaptation approach that uses online multi-objective optimization with a posteriori articulated preferences-that is, articulation of preferences after the optimization has concluded-to make UI adaptation robust to incomplete and inaccurate objective formulations. It offers users a flexible way to control adaptations by selecting from a set of Pareto optimal adaptation proposals and adjusting them to fit their needs. We showcase the feasibility and fexibility of ParetoAdapt by implementing an online layout adaptation system in a state-of-the-art 3D UI adaptation framework. We further evaluate its robustness and run-time in simulation-based experiments that allow us to systematically change the accuracy of the estimated user preferences. We conclude by discussing how our approach may impact the usability and practicality of online UI adaptations.

关键词： multi-objective optimization Pareto frontier online UI adaptation

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SwarmFidget: Exploring Programmable Actuated Fidgeting with Swarm Robots 23

SwarmFidget: Exploring Programmable Actuated Fidgeting with ...

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36th Annual acm symposium on user interface software and technology (UIST)

作者： Kim, Lawrence H. Domova, Veronika Yao, Yuqi Rajabi, Parsa Simon Fraser Univ Burnaby BC Canada Stanford Univ Stanford CA USA

ISBN: (纸本)9798400701320

We introduce the concept of programmable actuated fidgeting, a type of fidgeting that involves devices integrated with actuators, sensors, and computing to enable a customizable interactive fidgeting experience. In particular, we explore the potential of a swarm of tabletop robots as an instance of programmable actuated fidgeting as robots are becoming increasingly available. Through ideation sessions among researchers and feedback from the participants, we formulate the design space for SwarmFidget, where swarm robots are used to facilitate programmable actuated fidgeting. To gather user impressions, we conducted an exploratory study where we introduced the concept of SwarmFidget to twelve participants and had them experience and provide feedback on six example fidgeting interactions. Our study demonstrates the potential of SwarmFidget for facilitating fidgeting interaction and provides insights and guidelines for designing effective and engaging fidgeting interactions with swarm robots. We believe our work can inspire future research in the area of programmable actuated fidgeting and open up new opportunities for designing novel swarm robot-based fidgeting systems.

关键词： fdgeting swarm robots tangible user interface programmable actuated fdgeting

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Never-ending Learning of user interfaces 23

Never-ending Learning of User Interfaces

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36th Annual acm symposium on user interface software and technology (UIST)

作者： Wu, Jason Krosnick, Rebecca Schoop, Eldon Swearngin, Amanda Bigham, Jeffrey P. Nichols, Jeffrey Carnegie Mellon Univ HCI Inst Pittsburgh PA 15213 USA Univ Michigan Comp Sci & Engn Ann Arbor MI 48109 USA Apple Cupertino CA USA

ISBN: (纸本)9798400701320

Machine learning models have been trained to predict semantic information about user interfaces (UIs) to make apps more accessible, easier to test, and to automate. Currently, most models rely on datasets of static screenshots that are labeled by human annotators, a process that is costly and surprisingly error-prone for certain tasks. For example, workers labeling whether a UI element is "tappable" from a screenshot must guess using visual signifiers, and do not have the benefit of tapping on the UI element in the running app and observing the effects. In this paper, we present the Never-ending UI Learner, an app crawler that automatically installs real apps from a mobile app store and crawls them to infer semantic properties of UIs by interacting with UI elements, discovering new and challenging training examples to learn from, and continually updating machine learning models designed to predict these semantics. The Never-ending UI Learner so far has crawled for more than 5,000 device-hours, performing over half a million actions on 6,000 apps to train three computer vision models for i) tappability prediction, ii) draggability prediction, and iii) screen similarity.

关键词： user interface modeling ui modeling machine learning crawling

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Statslator: Interactive Translation of NHST and Estimation Statistics Reporting Styles in Scientific Documents 23

Statslator: Interactive Translation of NHST and Estimation S...

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36th Annual acm symposium on user interface software and technology (UIST)

作者： Masson, Damien Malacria, Sylvain Casiez, Gery Vogel, Daniel Univ Waterloo Cheriton Sch Comp Sci Waterloo ON Canada Univ Lille Cent Lille UMR CRIStAL 9189 InriaCNRS Lille France Univ Waterloo Waterloo ON Canada Inst Univ France Paris France

ISBN: (纸本)9798400701320

Inferential statistics are typically reported using p-values (NHST) or confidence intervals on effect sizes (estimation). This is done using a range of styles, but some readers have preferences about how statistics should be presented and others have limited familiarity with alternatives. We propose a system to interactively translate statistical reporting styles in existing documents, allowing readers to switch between interval estimates, p-values, and standardized effect sizes, all using textual and graphical reports that are dynamic and user customizable. Forty years of CHI papers are examined. Using only the information reported in scientific documents, equations are derived and validated on simulated datasets to show that conversions between p-values and confidence intervals are accurate. The system helps readers interpret statistics in a familiar style, compare reports that use different styles, and even validate the correctness of reports. Code and data: https://***/x4ue7

关键词： statistics interactive system reading interface estimation nhst transparent statistics explorable explanation

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Demonstrating HUGO, a High-Resolution Tactile Emulator for Complex Surfaces 36

Demonstrating HUGO, a High-Resolution Tactile Emulator for C...

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36th Annual acm symposium on user interface software and technology (UIST)

作者： Herbst, Yair Wolf, Alon Zelnik-Manor, Lihi Technion Israel Inst Technol Mech Engn Haifa Israel Technion Israel Inst Technol Elect & Comp Engn Haifa Israel

ISBN: (纸本)9798400700965

We demonstrate HUGO, a novel device developed to deliver enhanced tactile feedback and facilitate interaction with real-world surfaces. The device aims to overcome the limitations of existing cutaneous feedback devices, which often provide a restricted range of sensations and are primarily tested on simple synthetic surfaces. HUGO was meticulously designed through a human-centered process to enable users to experience realistic touch sensations encountered in various real-world scenarios. HUGO utilizes a parallel manipulator and a pin-array mechanism that operate concurrently at a frequency of up to 200Hz to simulate both coarse and fne geometrical features. By employing a high operation frequency and decomposing the tactile feedback into distinct features, HUGO enables a more accurate replication of tactile experiences associated with diferent surfaces. The demonstration will showcase HUGO's capabilities in providing authentic haptic feedback. This includes facilitating social interactions, enhancing e-commerce experiences, and improving gaming interactions through realistic haptic engagement with real-world surfaces.

关键词： Haptics High-Resolution Haptics Haptic Textures Human Computer interface user Study

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Virtual Buddy: Redefining Conversational AI Interactions for Individuals with Hand Motor Disabilities 36

Virtual Buddy: Redefining Conversational AI Interactions for...

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36th Annual acm symposium on user interface software and technology (UIST)

作者： Taheri, Atieh Bhardwaj, Purav Caetano, Arthur Zhong, Alice Sra, Misha Univ Calif Santa Barbara Santa Barbara CA 93106 USA

ISBN: (纸本)9798400700965

Advances in artificial intelligence have transformed the paradigm of human-computer interaction, with the development of conversational AI systems playing a pivotal role. These systems employ technologies such as natural language processing and machine learning to simulate intelligent and human-like conversations. Driven by the personal experience of an individual with a neuromuscular disease who faces challenges with leaving home and contends with limited hand-motor control when operating digital systems, including conversational AI platforms, we propose a method aimed at enriching their interaction with conversational AI. Our prototype allows the creation of multiple agent personas based on hobbies and interests, to support topic-based conversations. In contrast with existing systems, such as Replika, that offer a 1:1 relation with a virtual agent, our design enables one-to-many relationships, easing the process of interaction for this individual by reducing the need for constant data input. We can imagine our prototype potentially helping others who are in a similar situation with reduced typing/input ability.

关键词： conversational AI hand motor disability user-centric design accessibility virtual personas

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