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  • Novel Computational Linguistic Measures, Dialogue System and the Development of SOPHIE: Standardized Online Patient for Healthcare Interaction Education
    arXiv.cs.HC Pub Date : 2020-09-23
    Mohammad Rafayet Ali; Taylan Sen; Benjamin Kane; Shagun Bose; Thomas M Carroll; Ronald Epstein; Lenhart Schubert; Ehsan Hoque

    In this paper, we describe the iterative participatory design of SOPHIE, an online virtual patient for feedback-based practice of sensitive patient-physician conversations, and discuss an initial qualitative evaluation of the system by professional end users. The design of SOPHIE was motivated from a computational linguistic analysis of the transcripts of 383 patient-physician conversations from an

    更新日期:2020-09-24
  • Studying Person-Specific Pointing and Gaze Behavior for Multimodal Referencing of Outside Objects from a Moving Vehicle
    arXiv.cs.HC Pub Date : 2020-09-23
    Amr Gomaa; Guillermo Reyes; Alexandra Alles; Lydia Rupp; Michael Feld

    Hand pointing and eye gaze have been extensively investigated in automotive applications for object selection and referencing. Despite significant advances, existing outside-the-vehicle referencing methods consider these modalities separately. Moreover, existing multimodal referencing methods focus on a static situation, whereas the situation in a moving vehicle is highly dynamic and subject to safety-critical

    更新日期:2020-09-24
  • Can we trust online crowdworkers? Comparing online and offline participants in a preference test of virtual agents
    arXiv.cs.HC Pub Date : 2020-09-22
    Patrik Jonell; Taras Kucherenko; Ilaria Torre; Jonas Beskow

    Conducting user studies is a crucial component in many scientific fields. While some studies require participants to be physically present, other studies can be conducted both physically (e.g. in-lab) and online (e.g. via crowdsourcing). Inviting participants to the lab can be a time-consuming and logistically difficult endeavor, not to mention that sometimes research groups might not be able to run

    更新日期:2020-09-24
  • Attention with Multiple Sources Knowledges for COVID-19 from CT Images
    arXiv.cs.HC Pub Date : 2020-09-23
    Duy M. H. Nguyen; Duy M. Nguyen; Huong Vu; Binh T. Nguyen; Fabrizio Nunnari; Daniel Sonntag

    Until now, Coronavirus SARS-CoV-2 has caused more than 850,000 deaths and infected more than 27 million individuals in over 120 countries. Besides principal polymerase chain reaction (PCR) tests, automatically identifying positive samples based on computed tomography (CT) scans can present a promising option in the early diagnosis of COVID-19. Recently, there have been increasing efforts to utilize

    更新日期:2020-09-24
  • Logic Programming and Machine Ethics
    arXiv.cs.HC Pub Date : 2020-09-22
    Abeer DyoubUniversity of L'Aquila, Italy; Stefania CostantiniUniversity of L'Aquila, Italy; Francesca A. LisiUniversity of Bari "A. Moro", Italy

    Transparency is a key requirement for ethical machines. Verified ethical behavior is not enough to establish justified trust in autonomous intelligent agents: it needs to be supported by the ability to explain decisions. Logic Programming (LP) has a great potential for developing such perspective ethical systems, as in fact logic rules are easily comprehensible by humans. Furthermore, LP is able to

    更新日期:2020-09-24
  • Attention Driven Fusion for Multi-Modal Emotion Recognition
    arXiv.cs.HC Pub Date : 2020-09-23
    Darshana Priyasad; Tharindu Fernando; Simon Denman; Clinton Fookes; Sridha Sridharan

    Deep learning has emerged as a powerful alternative to hand-crafted methods for emotion recognition on combined acoustic and text modalities. Baseline systems model emotion information in text and acoustic modes independently using Deep Convolutional Neural Networks (DCNN) and Recurrent Neural Networks (RNN), followed by applying attention, fusion, and classification. In this paper, we present a deep

    更新日期:2020-09-24
  • PICs for TECH: Pose Imitation Constraints (PICs) for TEaching Collaborative Heterogeneous robots (TECH)
    arXiv.cs.HC Pub Date : 2020-09-23
    Glebys Gonzalez; Juan Wachs

    Achieving human-like motion in robots has been a fundamental goal in many areas of robotics research. Inverse kinematic (IK) solvers have been explored as a solution to provide kinematic structures with anthropomorphic movements. In particular, numeric solvers based on geometry, such as FABRIK, have shown potential for producing human-like motion at a low computational cost. Nevertheless, these methods

    更新日期:2020-09-24
  • Lifelong Learning Dialogue Systems: Chatbots that Self-Learn On the Job
    arXiv.cs.HC Pub Date : 2020-09-22
    Bing Liu; Sahisnu Mazumder

    Dialogue systems, also called chatbots, are now used in a wide range of applications. However, they still have some major weaknesses. One key weakness is that they are typically trained from manually-labeled data and/or written with handcrafted rules, and their knowledge bases (KBs) are also compiled by human experts. Due to the huge amount of manual effort involved, they are difficult to scale and

    更新日期:2020-09-24
  • mage: Fluid Moves Between Code and Graphical Work in Computational Notebooks
    arXiv.cs.HC Pub Date : 2020-09-22
    Mary Beth Kery; Donghao Ren; Fred Hohman; Dominik Moritz; Kanit Wongsuphasawat; Kayur Patel

    We aim to increase the flexibility at which a data worker can choose the right tool for the job, regardless of whether the tool is a code library or an interactive graphical user interface (GUI). To achieve this flexibility, we extend computational notebooks with a new API mage, which supports tools that can represent themselves as both code and GUI as needed. We discuss the design of mage as well

    更新日期:2020-09-23
  • iWash: A Smartwatch Handwashing Quality Assessment and Reminder System with Real-time Feedback in the Context of Infectious Disease
    arXiv.cs.HC Pub Date : 2020-09-22
    Sirat Samyoun; Sudipta Saha Shubha; Md Abu Sayeed Mondol; John A. Stankovic

    Washing hands properly and frequently is the simplest and most cost-effective interventions to prevent the spread of infectious diseases. People are often ignorant about proper handwashing in different situations and do not know if they wash hands properly. Smartwatches are found to be effective for assessing the quality of handwashing. However, the existing smartwatch based systems are not comprehensive

    更新日期:2020-09-23
  • Influences of Temporal Factors on GPS-based Human Mobility Lifestyle
    arXiv.cs.HC Pub Date : 2020-09-22
    Tran Phuong Thao

    Analysis of human mobility from GPS trajectories becomes crucial in many aspects such as policy planning for urban citizens, location-based service recommendation/prediction, and especially mitigating the spread of biological and mobile viruses. In this paper, we propose a method to find temporal factors affecting the human mobility lifestyle. We collected GPS data from 100 smartphone users in Japan

    更新日期:2020-09-23
  • Self-Adapting Variable Impedance Actuator Control for Precision and Dynamic Tasks
    arXiv.cs.HC Pub Date : 2020-09-22
    Manuel Aiple; Andre Schiele; Frans C. T. van der Helm

    Variable impedance actuators (VIAs) as tool devices for teleoperation could extend the range of tasks that humans can perform through a teleoperated robot by mimicking the change of upper limb stiffness that humans perform for different tasks, increasing the dynamic range of the robot. This requires appropriate impedance control. Goal of this study is to show the effectiveness of a controller that

    更新日期:2020-09-23
  • Dark Patterns and the Legal Requirements of Consent Banners: An Interaction Criticism Perspective
    arXiv.cs.HC Pub Date : 2020-09-21
    Colin M. Gray; Cristiana Santos; Nataliia Bielova; Michael Toth; Damian Clifford

    User engagement with data privacy and security through consent banners has become a ubiquitous part of interacting with internet services. While previous work has addressed consent banners from either interaction design, legal, and ethics-focused perspectives, little research addresses the connections among multiple disciplinary approaches, including tensions and opportunities that transcend disciplinary

    更新日期:2020-09-23
  • Visual Methods for Sign Language Recognition: A Modality-Based Review
    arXiv.cs.HC Pub Date : 2020-09-22
    Bassem Seddik; Najoua Essoukri Ben Amara

    Sign language visual recognition from continuous multi-modal streams is still one of the most challenging fields. Recent advances in human actions recognition are exploiting the ascension of GPU-based learning from massive data, and are getting closer to human-like performances. They are then prone to creating interactive services for the deaf and hearing-impaired communities. A population that is

    更新日期:2020-09-23
  • Usage Patterns of Privacy-Enhancing Technologies
    arXiv.cs.HC Pub Date : 2020-09-22
    Kovila P. L. Coopamootoo

    The steady reports of privacy invasions online paints a picture of the Internet growing into a more dangerous place. This is supported by reports of the potential scale for online harms facilitated by the mass deployment of online technology and the data-intensive web. While Internet users often express concern about privacy, some report taking actions to protect their privacy online. We investigate

    更新日期:2020-09-23
  • Model-Driven Requirements for Humans-on-the-Loop Multi-UAV Missions
    arXiv.cs.HC Pub Date : 2020-09-22
    Ankit Agrawal; Jan-Philipp Steghofer; Jane Cleland-Huang

    The use of semi-autonomous Unmanned Aerial Vehicles (UAVs or drones) to support emergency response scenarios, such as fire surveillance and search-and-rescue, has the potential for huge societal benefits. Onboard sensors and artificial intelligence (AI) allow these UAVs to operate autonomously in the environment. However, human intelligence and domain expertise are crucial in planning and guiding UAVs

    更新日期:2020-09-23
  • ALICE: Active Learning with Contrastive Natural Language Explanations
    arXiv.cs.HC Pub Date : 2020-09-22
    Weixin Liang; James Zou; Zhou Yu

    Training a supervised neural network classifier typically requires many annotated training samples. Collecting and annotating a large number of data points are costly and sometimes even infeasible. Traditional annotation process uses a low-bandwidth human-machine communication interface: classification labels, each of which only provides several bits of information. We propose Active Learning with

    更新日期:2020-09-23
  • Proposal of a Novel Bug Bounty Implementation Using Gamification
    arXiv.cs.HC Pub Date : 2020-09-21
    Jamie O'Hare; Lynsay A. Shepherd

    Despite significant popularity, the bug bounty process has remained broadly unchanged since its inception, with limited implementation of gamification aspects. Existing literature recognises that current methods generate intensive resource demands, and can encounter issues impacting program effectiveness. This paper proposes a novel bug bounty process aiming to alleviate resource demands and mitigate

    更新日期:2020-09-23
  • Transparency's Influence on Human-Collective Interactions
    arXiv.cs.HC Pub Date : 2020-09-18
    Karina A. Roundtree; Jason R. Cody; Jennifer Leaf; H. Onan Demirel; Julie A. Adams

    Collective robotic systems are biologically inspired and advantageous due to their apparent global intelligence and emergent behaviors. Many applications can benefit from the incorporation of collectives, including environmental monitoring, disaster response missions, and infrastructure support. Transparency research has primarily focused on how the design of the models, visualizations, and control

    更新日期:2020-09-22
  • Humans learn too: Better Human-AI Interaction using Optimized Human Inputs
    arXiv.cs.HC Pub Date : 2020-09-19
    Johannes Schneider

    Humans rely more and more on systems with AI components. The AI community typically treats human inputs as a given and optimizes AI models only. This thinking is one-sided and it neglects the fact that humans can learn, too. In this work, human inputs are optimized for better interaction with an AI model while keeping the model fixed. The optimized inputs are accompanied by instructions on how to create

    更新日期:2020-09-22
  • CommunityClick: Capturing and Reporting Community Feedback from Town Halls to Improve Inclusivity
    arXiv.cs.HC Pub Date : 2020-09-18
    Mahmood Jasim; Pooya Khaloo; Somin Wadhwa; Amy X. Zhang; Ali Sarvghad; Narges Mahyar

    Local governments still depend on traditional town halls for community consultation, despite problems such as a lack of inclusive participation for attendees and difficulty for civic organizers to capture attendees' feedback in reports. Building on a formative study with 66 town hall attendees and 20 organizers, we designed and developed CommunityClick, a communitysourcing system that captures attendees'

    更新日期:2020-09-22
  • Weight Training Analysis of Sportsmen with Kinect Bioinformatics for Form Improvement
    arXiv.cs.HC Pub Date : 2020-08-13
    Muhammad Umair Khan; Khawar Saeed; Sidra Qadeer

    Sports franchises invest a lot in training their athletes. use of latest technology for this purpose is also very common. We propose a system of capturing motion of athletes during weight training and analyzing that data to find out any shortcomings and imperfections. Our system uses Kinect depth image to compute different parameters of athlete's selected joints. These parameters are passed through

    更新日期:2020-09-22
  • A Novel Transferability Attention Neural Network Model for EEG Emotion Recognition
    arXiv.cs.HC Pub Date : 2020-09-21
    Yang Li; Boxun Fu; Fu Li; Guangming Shi; Wenming Zheng

    The existed methods for electroencephalograph (EEG) emotion recognition always train the models based on all the EEG samples indistinguishably. However, some of the source (training) samples may lead to a negative influence because they are significant dissimilar with the target (test) samples. So it is necessary to give more attention to the EEG samples with strong transferability rather than forcefully

    更新日期:2020-09-22
  • Human Engagement Providing Evaluative and Informative Advice for Interactive Reinforcement Learning
    arXiv.cs.HC Pub Date : 2020-09-21
    Adam Bignold; Francisco Cruz; Richard Dazeley; Peter Vamplew; Cameron Foale

    Reinforcement learning is an approach used by intelligent agents to autonomously learn new skills. Although reinforcement learning has been demonstrated to be an effective learning approach in several different contexts, a common drawback exhibited is the time needed in order to satisfactorily learn a task, especially in large state-action spaces. To address this issue, interactive reinforcement learning

    更新日期:2020-09-22
  • Examining the Impact of Algorithm Awareness on Wikidata's Recommender System Recoin
    arXiv.cs.HC Pub Date : 2020-09-18
    Jesse Josua Benjamin; Claudia Müller-Birn; Simon Razniewski

    The global infrastructure of the Web, designed as an open and transparent system, has a significant impact on our society. However, algorithmic systems of corporate entities that neglect those principles increasingly populated the Web. Typical representatives of these algorithmic systems are recommender systems that influence our society both on a scale of global politics and during mundane shopping

    更新日期:2020-09-22
  • An Improved Approach of Intention Discovery with Machine Learning for POMDP-based Dialogue Management
    arXiv.cs.HC Pub Date : 2020-09-20
    Ruturaj Raval

    An Embodied Conversational Agent (ECA) is an intelligent agent that works as the front end of software applications to interact with users through verbal/nonverbal expressions and to provide online assistance without the limits of time, location, and language. To help to improve the experience of human-computer interaction, there is an increasing need to empower ECA with not only the realistic look

    更新日期:2020-09-22
  • Emotional Musical Prosody for the Enhancement of Trust in Robotic Arm Communication
    arXiv.cs.HC Pub Date : 2020-09-18
    Richard Savery; Lisa Zahray; Gil Weinberg

    As robotic arms become prevalent in industry it is crucial to improve levels of trust from human collaborators. Low levels of trust in human-robot interaction can reduce overall performance and prevent full robot utilization. We investigated the potential benefits of using emotional musical prosody to allow the robot to respond emotionally to the user's actions. We tested participants' responses to

    更新日期:2020-09-22
  • Mid-Air Drawing of Curves on 3D Surfaces in AR/VR
    arXiv.cs.HC Pub Date : 2020-09-18
    Rahul Arora; Karan Singh

    Complex 3D curves can be created by directly drawing mid-air in immersive environments (AR/VR). Drawing mid-air strokes precisely on the surface of a 3D virtual object however, is difficult; necessitating a projection of the mid-air stroke onto the user "intended" surface curve. We present the first detailed investigation of the fundamental problem of 3D stroke projection in AR/VR. An assessment of

    更新日期:2020-09-22
  • AI-Driven Interface Design for Intelligent Tutoring System Improves Student Engagement
    arXiv.cs.HC Pub Date : 2020-09-18
    Byungsoo Kim; Hongseok Suh; Jaewe Heo; Youngduck Choi

    An Intelligent Tutoring System (ITS) has been shown to improve students' learning outcomes by providing a personalized curriculum that addresses individual needs of every student. However, despite the effectiveness and efficiency that ITS brings to students' learning process, most of the studies in ITS research have conducted less effort to design the interface of ITS that promotes students' interest

    更新日期:2020-09-22
  • Online Knowledge Base for Designing Shape-changing Interfaces using Modular Workshop Elements
    arXiv.cs.HC Pub Date : 2020-09-18
    Elena Stoll; Dietrich Kammer

    Building and maintaining knowledge about specific interface technologies is a challenge. Current solutions include standard file-based document repositories, wikis, and other online tools. However, these solutions are often only available in intranets, become outdated and do not support the acquisition of knowledge in an efficient manner. The effort to gain an overview and detailed knowledge about

    更新日期:2020-09-21
  • Automated Stroke Rehabilitation Assessment using Wearable Accelerometers in Free-Living Environments
    arXiv.cs.HC Pub Date : 2020-09-17
    Xi Chen; Yu Guan; Jian-Qing Shi; Xiu-Li Du; Janet Eyre

    Stroke is known as a major global health problem, and for stroke survivors it is key to monitor the recovery levels. However, traditional stroke rehabilitation assessment methods (such as the popular clinical assessment) can be subjective and expensive, and it is also less convenient for patients to visit clinics in a high frequency. To address this issue, in this work based on wearable sensing and

    更新日期:2020-09-21
  • Capturing Individuals' Uncertainties--On Establishing the Validity of an Interval-Valued Survey Response Mode
    arXiv.cs.HC Pub Date : 2020-09-16
    Zack Ellerby; Christian Wagner; Stephen Broomell

    Obtaining quantitative survey responses that are both accurate and informative is crucial to a wide range of fields (e.g. perceptual and categorical judgement, expert risk assessment, attitudinal measurement, consumer and public opinion research). Traditional and ubiquitous response formats such as Likert and Visual Analogue Scales require condensation of responses into discrete or point values-but

    更新日期:2020-09-21
  • Addressing Cognitive Biases in Augmented Business Decision Systems
    arXiv.cs.HC Pub Date : 2020-09-17
    Thomas Baudel; Manon Verbockhaven; Guillaume Roy; Victoire Cousergue; Rida Laarach

    How do algorithmic decision aids introduced in business decision processes affect task performance? In a first experiment, we study effective collaboration. Faced with a decision, subjects alone have a success rate of 72%; Aided by a recommender that has a 75% success rate, their success rate reaches 76%. The human-system collaboration had thus a greater success rate than each taken alone. However

    更新日期:2020-09-20
  • Deploying machine learning to assist digital humanitarians: making image annotation in OpenStreetMap more efficient
    arXiv.cs.HC Pub Date : 2020-09-17
    John E. Vargas-Muñoz; Devis Tuia; Alexandre X. Falcão

    Locating populations in rural areas of developing countries has attracted the attention of humanitarian mapping projects since it is important to plan actions that affect vulnerable areas. Recent efforts have tackled this problem as the detection of buildings in aerial images. However, the quality and the amount of rural building annotated data in open mapping services like OpenStreetMap (OSM) is not

    更新日期:2020-09-20
  • Brain-Computer Interfaces and the Dangers of Neurocapitalism
    arXiv.cs.HC Pub Date : 2020-09-16
    Srdjan Lesaja; Xavier-Lewis Palmer

    We review how existing trends are relevant to the discussion of brain-computer interfaces and the data they would generate. Then, we posit how the commerce of neural data, dubbed Neurocapitalism, could be impacted by the maturation of brain-computer interface technology. We explore how this could pose fundamental changes to our way of interacting, as well as our sense of autonomy and identity. Because

    更新日期:2020-09-20
  • (Un)clear and (In)conspicuous: The right to opt-out of sale under CCPA
    arXiv.cs.HC Pub Date : 2020-09-16
    Sean O'Connor; Ryan Nurwono; Eleanor Birrell

    The California Consumer Privacy Act (CCPA)---which began enforcement on July 1, 2020---grants California users the affirmative right to opt-out of the sale of their personal information. In this work, we perform a manual analysis of the top 500 U.S. websites and classify how each site implements this new requirement. We find that the vast majority of sites that implement opt-out mechanisms do so with

    更新日期:2020-09-20
  • Argus: Interactive a priori Power Analysis
    arXiv.cs.HC Pub Date : 2020-09-16
    Xiaoyi Wang; Alexander Eiselmayer; Wendy E. Mackay; Kasper Hornbæk; Chat Wacharamanotham

    A key challenge HCI researchers face when designing a controlled experiment is choosing the appropriate number of participants, or sample size. A prior power analysis examines the relationships among multiple parameters, including the complexity associated with human participants, e.g., order and fatigue effects, to calculate the statistical power of a given experiment design. We created Argus, a tool

    更新日期:2020-09-18
  • A System for Interleaving Discussion and Summarization in Online Collaboration
    arXiv.cs.HC Pub Date : 2020-09-16
    Sunny Tian; Amy X. Zhang; David Karger

    In many instances of online collaboration, ideation and deliberation about what to write happen separately from the synthesis of the deliberation into a cohesive document. However, this may result in a final document that has little connection to the discussion that came before. In this work, we present interleaved discussion and summarization, a process where discussion and summarization are woven

    更新日期:2020-09-18
  • Scatterplot Selection Applying a Graph Coloring Problem
    arXiv.cs.HC Pub Date : 2020-09-15
    Takayuki Itoh; Asuka Nakabayashi; Mariko Hagita

    Scatterplot selection is an effective approach to represent essential portions of multidimensional data in a limited display space. Various metrics for evaluation of scatterplots such as scagnostics have been presented and applied to scatterplot selection. This paper presents a new scatterplot selection technique that applies multiple metrics. The technique firstly calculates scores of scatterplots

    更新日期:2020-09-18
  • dg2pix: Pixel-Based Visual Analysis of Dynamic Graphs
    arXiv.cs.HC Pub Date : 2020-09-15
    Eren Cakmak; Dominik Jäckle; Tobias Schreck; Daniel Keim

    Presenting long sequences of dynamic graphs remains challenging due to the underlying large-scale and high-dimensional data. We propose dg2pix, a novel pixel-based visualization technique, to visually explore temporal and structural properties in long sequences of large-scale graphs. The approach consists of three main steps: (1) the multiscale modeling of the temporal dimension; (2) unsupervised graph

    更新日期:2020-09-18
  • Human biases in body measurement estimation
    arXiv.cs.HC Pub Date : 2020-09-16
    Kirill Martynov; Kiran Garimella; Robert West

    Body measurements, including weight and height, are key indicators of health. Being able to visually assess body measurements reliably is a step towards increased awareness of overweight and obesity and is thus important for public health. Nevertheless it is currently not well understood how accurately humans can assess weight and height from images, and when and how they fail. To bridge this gap,

    更新日期:2020-09-18
  • MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control
    arXiv.cs.HC Pub Date : 2020-09-16
    Boris Ivanovic; Amine Elhafsi; Guy Rosman; Adrien Gaidon; Marco Pavone

    Reasoning about human motion is a core component of modern human-robot interactive systems. In particular, one of the main uses of behavior prediction in autonomous systems is to inform ego-robot motion planning and control. However, a majority of planning and control algorithms reason about system dynamics rather than the predicted agent tracklets that are commonly output by trajectory forecasting

    更新日期:2020-09-18
  • Trust Concerns in Health Apps collecting Personally Identifiable Information during COVID-19-like Zoonosis
    arXiv.cs.HC Pub Date : 2020-09-16
    Molla Rashied Hussein; Md. Ashikur Rahman; Md. Jahidul Hassan Mojumder; Shakib Ahmed; Samia Naz Isha; Shaila Akter; Abdullah Bin Shams; Ehsanul Hoque Apu

    Coronavirus disease 2019, or COVID-19 in short, is a zoonosis, i.e., a disease that spreads from animals to humans. Due to its highly epizootic nature, it has compelled the public health experts to deploy smartphone applications to trace its rapid transmission pattern along with the infected persons as well by utilizing the persons' personally identifiable information. However, these information may

    更新日期:2020-09-18
  • CoVR: A Large-Scale Force-Feedback Robotic Interface for Non-Deterministic Scenarios in VR
    arXiv.cs.HC Pub Date : 2020-09-15
    Elodie Bouzbib; Gilles Bailly; Sinan Haliyo; Pascal Frey

    We present CoVR, a novel robotic interface providing strong kinesthetic feedback (100 N) in a room-scale VR arena. It consists of a physical column mounted on a 2D Cartesian ceiling robot (XY displacements) with the capacity of (1) resisting to body-scaled users' actions such as pushing or leaning; (2) acting on the users by pulling or transporting them as well as (3) carrying multiple potentially

    更新日期:2020-09-16
  • Communicative Visualizations as a Learning Problem
    arXiv.cs.HC Pub Date : 2020-09-15
    Eytan Adar; Elsie Lee

    Significant research has provided robust task and evaluation languages for the analysis of exploratory visualizations. Unfortunately, these taxonomies fail when applied to communicative visualizations. Instead, designers often resort to evaluating communicative visualizations from the cognitive efficiency perspective: "can the recipient accurately decode my message/insight?" However, designers are

    更新日期:2020-09-16
  • Attention Flows: Analyzing and Comparing Attention Mechanisms in Language Models
    arXiv.cs.HC Pub Date : 2020-09-03
    Joseph F DeRose; Jiayao Wang; Matthew Berger

    Advances in language modeling have led to the development of deep attention-based models that are performant across a wide variety of natural language processing (NLP) problems. These language models are typified by a pre-training process on large unlabeled text corpora and subsequently fine-tuned for specific tasks. Although considerable work has been devoted to understanding the attention mechanisms

    更新日期:2020-09-16
  • A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning Processes
    arXiv.cs.HC Pub Date : 2020-09-15
    Yuxin Ma; Arlen Fan; Jingrui He; Arun Reddy Nelakurthi; Ross Maciejewski

    Many statistical learning models hold an assumption that the training data and the future unlabeled data are drawn from the same distribution. However, this assumption is difficult to fulfill in real-world scenarios and creates barriers in reusing existing labels from similar application domains. Transfer Learning is intended to relax this assumption by modeling relationships between domains, and is

    更新日期:2020-09-16
  • A Design Space of Vision Science Methods for Visualization Research
    arXiv.cs.HC Pub Date : 2020-09-15
    Madison Elliott; Christine Nothelfer; Cindy Xiong; Danielle Szafir

    A growing number of efforts aim to understand what people see when using a visualization. These efforts provide scientific grounding to complement design intuitions, leading to more effective visualization practice. However, published visualization research currently reflects a limited set of available methods for understanding how people process visualized data. Alternative methods from vision science

    更新日期:2020-09-16
  • Auditing the Sensitivity of Graph-based Ranking with Visual Analytics
    arXiv.cs.HC Pub Date : 2020-09-15
    Tiankai Xie; Yuxin Ma; Hanghang Tong; My T. Thai; Ross Maciejewski

    Graph mining plays a pivotal role across a number of disciplines, and a variety of algorithms have been developed to answer who/what type questions. For example, what items shall we recommend to a given user on an e-commerce platform? The answers to such questions are typically returned in the form of a ranked list, and graph-based ranking methods are widely used in industrial information retrieval

    更新日期:2020-09-16
  • Effective Favor Exchange for Human-Agent Negotiation Challenge at IJCAI 2020
    arXiv.cs.HC Pub Date : 2020-09-14
    Kushal Chawla; Gale Lucas

    This document describes Pilot, our submission for Human-Agent Negotiation Challenge at IJCAI 2020. Pilot is a virtual human that participates in a sequence of three negotiations with a human partner. Our system is based on the Interactive Arbitration Guide Online (IAGO) negotiation framework. We leverage prior Affective Computing and Psychology research in negotiations to guide various key principles

    更新日期:2020-09-16
  • Truth or Square: Aspect Ratio Biases Recall of Position Encodings
    arXiv.cs.HC Pub Date : 2020-09-14
    Cristina R. Ceja; Caitlyn M. McColeman; Cindy Xiong; Steven L. Franconeri

    Bar charts are among the most frequently used visualizations, in part because their position encoding leads them to convey data values precisely. Yet reproductions of single bars or groups of bars within a graph can be biased. Curiously, some previous work found that this bias resulted in an overestimation of reproduced data values, while other work found an underestimation. Across three empirical

    更新日期:2020-09-16
  • Optical Gaze Tracking with Spatially-Sparse Single-Pixel Detectors
    arXiv.cs.HC Pub Date : 2020-09-15
    Richard Li; Eric Whitmire; Michael Stengel; Ben Boudaoud; Jan Kautz; David Luebke; Shwetak Patel; Kaan Akşit

    Gaze tracking is an essential component of next generation displays for virtual reality and augmented reality applications. Traditional camera-based gaze trackers used in next generation displays are known to be lacking in one or multiple of the following metrics: power consumption, cost, computational complexity, estimation accuracy, latency, and form-factor. We propose the use of discrete photodiodes

    更新日期:2020-09-16
  • Understanding Gesture and Speech Multimodal Interactions for Manipulation Tasks in Augmented Reality Using Unconstrained Elicitation
    arXiv.cs.HC Pub Date : 2020-09-14
    Adam S. Williams; Francisco R. Ortega

    This research establishes a better understanding of the syntax choices in speech interactions and of how speech, gesture, and multimodal gesture and speech interactions are produced by users in unconstrained object manipulation environments using augmented reality. The work presents a multimodal elicitation study conducted with 24 participants. The canonical referents for translation, rotation, and

    更新日期:2020-09-15
  • Accessibility evaluation of websites using WCAG tools and Cambridge Simulator
    arXiv.cs.HC Pub Date : 2020-09-14
    Shashank Kumar; JeevithaShree DV; Pradipta Biswas

    There is plethora of tools available for automatic evaluation of web accessibility with respect to WCAG. This paper compares a set of WCAG tools and their results in terms of ease of comprehension and implementation by web developers. The paper highlights accessibility issues that cannot be captured only through conformance to WCAG tools and propose additional methods to evaluate accessibility through

    更新日期:2020-09-15
  • Play Music An HCI Oriented Evaluation of Googles Default Music Player Interface
    arXiv.cs.HC Pub Date : 2020-09-14
    Venkatesh Vijaykumar

    The work embodied in this paper attempts to suggest a few improvements to the playlist creation task interface of the Google Play Music Android application based on recommended practices encountered in the Human-Computer Interaction discipline. The improvements are largely centered on intuitive navigation and selection actions, in order to facilitate a smoother experience in creating, ordering, and

    更新日期:2020-09-15
  • Should We Trust (X)AI? Design Dimensions for Structured Experimental Evaluations
    arXiv.cs.HC Pub Date : 2020-09-14
    Fabian Sperrle; Mennatallah El-Assady; Grace Guo; Duen Horng Chau; Alex Endert; Daniel Keim

    This paper systematically derives design dimensions for the structured evaluation of explainable artificial intelligence (XAI) approaches. These dimensions enable a descriptive characterization, facilitating comparisons between different study designs. They further structure the design space of XAI, converging towards a precise terminology required for a rigorous study of XAI. Our literature review

    更新日期:2020-09-15
  • Implications of ageing for the design of cognitive interaction systems
    arXiv.cs.HC Pub Date : 2020-09-14
    L. Morillo-Mendez

    We are living longer in times of the biggest technological revolution humanity had ever seen before. Trying to understand how these two facts interact with each other, or more specifically, trying to maximise the benefits that new developments could potentially offer for the enhancement of the quality of life of older adults, is a task on which we have already begun to work. In particular, the rapid

    更新日期:2020-09-15
  • GazeBase: A Large-Scale, Multi-Stimulus, Longitudinal Eye Movement Dataset
    arXiv.cs.HC Pub Date : 2020-09-14
    Henry Griffith; Dillon Lohr; Evgeny Abdulin; Oleg Komogortsev

    This manuscript presents GazeBase, a large-scale longitudinal dataset containing 12,334 monocular eye-movement recordings captured from 322 college-aged subjects. Subjects completed a battery of seven tasks in two contiguous sessions during each round of recording, including a - 1) fixation task, 2) horizontal saccade task, 3) random oblique saccade task, 4) reading task, 5/6) free viewing of cinematic

    更新日期:2020-09-15
  • Chemicals in the Creek: designing a situated data physicalization of open government data with the community
    arXiv.cs.HC Pub Date : 2020-09-14
    Laura J. Perovich; Sara Ann Wylie; Roseann Bongiovanni

    Over the last decade growing amounts of government data have been made available in an attempt to increase transparency and civic participation, but it is unclear if this data serves non-expert communities due to gaps in access and the technical knowledge needed to interpret this "open" data. We conducted a two-year design study focused on the creation of a community-based data display using the United

    更新日期:2020-09-15
  • Recent Advances in Wearable Sensors with Application in Rehabilitation Motion Analysis
    arXiv.cs.HC Pub Date : 2020-09-13
    S. Shokri; S. Ward; P. M. Anton; P. Siffredi; G. Papetti

    The increase in world elderly population has significantly underlined the need for continuous health care measurement, specifically in rehabilitation monitoring. The new technologies has enabled people to have in home healthcare services, meanwhile, motion analysis methods are widely used for human activity monitoring as a remote healthcare service. Wearable sensors have indicated promising results

    更新日期:2020-09-15
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