Latest in cs.hc

total 2223took 0.14s
Usability of Virtual Reality Application Through the Lens of the User Community: A Case StudyFeb 20 2019The increasing availability and diversity of virtual reality (VR) applications highlighted the importance of their usability. Function-oriented VR applications posed new challenges that are not well studied in the literature. Moreover, user feedback becomes ... More
How Do the Open Source Communities Address Usability and UX Issues? An Exploratory StudyFeb 20 2019Usability and user experience (UX) issues are often not well emphasized and addressed in open source software (OSS) development. There is an imperative need for supporting OSS communities to collaboratively identify, understand, and fix UX design issues ... More
UPCASE - A Method for Self-Assessing the Capability of the Usability Process in Small OrganizationsFeb 19 2019Designing usable products is important to provide a competitive edge through user satisfaction. A first step to establish or improve a usability process is to perform a process assessment. As this may be costly, an alternative for organizations seeking ... More
A Soft High Force Hand Exoskeleton for Rehabilitation and Assistance of Spinal Cord Injury and Stroke IndividualsFeb 19 2019Individuals with spinal cord injury (SCI) and stroke who is lack of manipulation capability have a particular need for robotic hand exoskeletons. Among assistive and rehabilitative medical exoskeletons, there exists a sharp trade-off between device power ... More
Cybercrime Investigators are Users Too! Understanding the Socio-Technical Challenges Faced by Law EnforcementFeb 19 2019Cybercrime investigators face numerous challenges when policing online crimes. Firstly, the methods and processes they use when dealing with traditional crimes do not necessarily apply in the cyber-world. Additionally, cyber criminals are usually technologically-aware ... More
An Exploration of User and Bystander Attitudes About Mobile Live-Streaming VideoFeb 18 2019Thanks to mobile apps such as Periscope and Facebook Live, live-streaming video is having a moment again. It has not been clear, however, to what extent the current ubiquity of smartphones is impacting this technology's acceptance in everyday social situations ... More
In a Silent Way: Communication Between AI and Improvising Musicians Beyond SoundFeb 18 2019Collaboration is built on trust, and establishing trust with a creative Artificial Intelligence is difficult when the decision process or internal state driving its behaviour isn't exposed. When human musicians improvise together, a number of extra-musical ... More
An Automated Testing Framework for Conversational AgentsFeb 17 2019Conversational agents are systems with a conversational interface that afford interaction in spoken language. These systems are becoming prevalent and are preferred in various contexts and for many users. Despite their increasing success, the automated ... More
Outlining the Design Space of Explainable Intelligent Systems for Medical DiagnosisFeb 16 2019The adoption of intelligent systems creates opportunities as well as challenges for medical work. On the positive side, intelligent systems have the potential to compute complex data from patients and generate automated diagnosis recommendations for doctors. ... More
Crowd Work on a CV? Understanding How AMT Fits into Turkers' Career Goals and Professional ProfilesFeb 13 2019In 2013, scholars laid out a framework for a sustainable, ethical future of crowd work, recommending career ladders so that crowd work can lead to career advancement and more economic mobility. Five years later, we consider this vision in the context ... More
ATMSeer: Increasing Transparency and Controllability in Automated Machine LearningFeb 13 2019To relieve the pain of manually selecting machine learning algorithms and tuning hyperparameters, automated machine learning (AutoML) methods have been developed to automatically search for good models. Due to the huge model search space, it is impossible ... More
Integrating Neurophysiological Sensors and Driver Models for Safe and Performant Automated Vehicle Control in Mixed TrafficFeb 13 2019In future mixed traffic Highly Automated Vehicles (HAV) will have to resolve interactions with human operated traffic. A particular problem for HAVs is detection of human states influencing safety critical decisions and driving behavior of humans. We ... More
Enhanced Robot Speech Recognition Using Biomimetic Binaural Sound Source LocalizationFeb 13 2019Inspired by the behavior of humans talking in noisy environments, we propose an embodied embedded cognition approach to improve automatic speech recognition (ASR) systems for robots in challenging environments, such as with ego noise, using binaural sound ... More
Which Neural Network Architecture matches Human Behavior in Artificial Grammar Learning?Feb 13 2019In recent years artificial neural networks achieved performance close to or better than humans in several domains: tasks that were previously human prerogatives, such as language processing, have witnessed remarkable improvements in state of the art models. ... More
A Subject-Specific Four-Degree-of-Freedom Foot Interface to Control a Robot ArmFeb 13 2019In robotic surgery, the surgeon controls robotic instruments using dedicated interfaces. One critical limitation of current interfaces is that they are designed to be operated by only the hands. This means that the surgeon can only control at most two ... More
The Heat is On: Exploring User Behaviour in a Multisensory Virtual Environment for Fire EvacuationFeb 12 2019Understanding validity of user behaviour in Virtual Environments (VEs) is critical as they are increasingly being used for serious Health and Safety applications such as predicting human behaviour and training in hazardous situations. This paper presents ... More
Reading Protocol: Understanding what has been Read in Interactive Information Retrieval TasksFeb 12 2019In Interactive Information Retrieval (IIR) experiments the user's gaze motion on web pages is often recorded with eye tracking. The data is used to analyze gaze behavior or to identify Areas of Interest (AOI) the user has looked at. So far, tools for ... More
Post-Data Augmentation to Improve Deep Pose Estimation of Extreme and Wild MotionsFeb 12 2019Contributions of recent deep-neural-network (DNN) based techniques have been playing a significant role in human-computer interaction (HCI) and user interface (UI) domains. One of the commonly used DNNs is human pose estimation. This kind of technique ... More
Net2Vis: Transforming Deep Convolutional Networks into Publication-Ready VisualizationsFeb 11 2019To properly convey neural network architectures in publications, appropriate visualization techniques are of great importance. While most current deep learning papers contain such visualizations, these are usually handcrafted, which results in a lack ... More
A Minimal Template for Interactive Web-based Demonstrations of Musical Machine LearningFeb 11 2019New machine learning algorithms are being developed to solve problems in different areas, including music. Intuitive, accessible, and understandable demonstrations of the newly built models could help attract the attention of people from different disciplines ... More
Human Computer Interaction Design for Mobile Devices Based on a Smart Healthcare ArchitectureFeb 10 2019Smart and IoT-enabled mobile devices have the potential to enhance healthcare services for both patients and healthcare providers. Human computer interaction design is key to realizing a useful and usable connection between the users and these smart healthcare ... More
Live Emoji: Semantic Emotional Expressiveness of 2D Live AnimationFeb 10 2019Live animation of 2D characters has recently become a popular way for storytelling, and has potential application scenarios like tele-present agents or robots. As an extension of human-human communication, there is a need for augmenting the emotional ... More
Engaging Audiences in Virtual Museums by Interactively Prompting Guiding QuestionsFeb 10 2019Virtual museums aim to promote access to cultural artifacts. However, they often face the challenge of getting audiences to read and understand a large amount of information in an uncontrolled online environment. Inspired by successful practices in physical ... More
Assessing the Local Interpretability of Machine Learning ModelsFeb 09 2019The increasing adoption of machine learning tools has led to calls for accountability via model interpretability. But what does it mean for a machine learning model to be interpretable by humans, and how can this be assessed? We focus on two definitions ... More
An Approach to Track Reading Progression Using Eye-Gaze Fixation PointsFeb 08 2019In this paper, we consider the problem of tracking the eye-gaze of individuals while they engage in reading. Particularly, we develop ways to accurately track the line being read by an individual using commercially available eye tracking devices. Such ... More
Ask Not What AI Can Do, But What AI Should Do: Towards a Framework of Task DelegabilityFeb 08 2019Although artificial intelligence holds promise for addressing societal challenges, issues of exactly which tasks to automate and the extent to do so remain understudied. We approach the problem of task delegability from a human-centered perspective by ... More
wavEMS: Improving Signal Variation Freedom of Electrical Muscle StimulationFeb 08 2019There has been a long history in electrical muscle stimulation (EMS), which has been used for medical and interaction purposes. Human-computer interaction (HCI) researchers are now working on various applications, including virtual reality (VR), notification, ... More
A Bayesian Deep Learning Framework for End-To-End Prediction of Emotion from HeartbeatFeb 08 2019Automatic prediction of emotion promises to revolutionise human-computer interaction. Recent trends involve fusion of multiple modalities - audio, visual, and physiological - to classify emotional state. However, practical considerations 'in the wild' ... More
SYM: Toward a New Tool in User's Mood DeterminationFeb 08 2019Even though the emotional state is increasingly taken into account in scientific studies aimed at determining user experience of user acceptance, there are still only a few normalized tools. In this article, we decided to focus on mood determination as ... More
Human-Centered Tools for Coping with Imperfect Algorithms during Medical Decision-MakingFeb 08 2019Machine learning (ML) is increasingly being used in image retrieval systems for medical decision making. One application of ML is to retrieve visually similar medical images from past patients (e.g. tissue from biopsies) to reference when making a medical ... More
A Description of a Subtask Dataset with GlancesFeb 07 2019This paper describes a set of data made available that contains detailed subtask coding of interactions with several production vehicle human machine interfaces (HMIs) on open roadways, along with accompanying eyeglance data.
EYEORG: A Platform For Crowdsourcing Web Quality Of Experience MeasurementsFeb 07 2019Tremendous effort has gone into the ongoing battle to make webpages load faster. This effort has culminated in new protocols (QUIC, SPDY, and HTTP/2) as well as novel content delivery mechanisms. In addition, companies like Google and SpeedCurve investigated ... More
Community Animation: Exploring a design space that leverages geosocial networking to increase community engagementFeb 07 2019This paper explores a design study of a smartphone enabled meet-up app meant to inspire engagement in community innovation. Community hubs such as co-working spaces, incubators, and maker spaces attract community members with diverse interests. This paper ... More
The importance of human computer interaction in the development process of software projectsFeb 07 2019Today, software industry has a rapid growth. In order to resist the competition increased by this growth, software projects need to be developed with higher quality and especially user friendly. Therefore, the importance of human-computer interaction ... More
Are Children Fully Aware of Online Privacy Risks and How Can We Improve Their Coping Ability?Feb 06 2019The age of children adopting digital technologies, such as tablets or smartphones, is increasingly young. However, children under 11 are often regarded as too young to comprehend the concept of online privacy. Limited research studies have focused on ... More
An open-source multi-person virtual reality framework for interactive molecular dynamics: from quantum chemistry to drug bindingFeb 05 2019Conceptually, the mechanics of nanoscale molecular objects arise through electrostatic forces acting on particles in non-uniform fields, and are relatively well characterized owing to decades of study. Nevertheless, because dynamics at this scale differ ... More
An open-source multi-person virtual reality framework for interactive molecular dynamics: from quantum chemistry to drug bindingFeb 05 2019Feb 12 2019Conceptually, the mechanics of nanoscale molecular objects arise through electrostatic forces acting on particles in non-uniform fields, and are relatively well characterized owing to decades of study. Nevertheless, because dynamics at this scale differ ... More
Empathic Robot for Group Learning: A Field StudyFeb 05 2019This work explores a group learning scenario with an autonomous empathic robot. We address two research questions: (1) Can an autonomous robot designed with empathic competencies foster collaborative learning in a group context? (2) Can an empathic robot ... More
Deep Convolutional Neural Network for Automated Detection of Mind Wandering using EEG SignalsFeb 05 2019Mind wandering (MW) is a ubiquitous phenomenon which reflects a shift in attention from task-related to task-unrelated thoughts. There is a need for intelligent interfaces that can reorient attention when MW is detected due to its detrimental effects ... More
Mobile Information RetrievalFeb 05 2019Mobile Information Retrieval (Mobile IR) is a relatively recent branch of Information Retrieval (IR) that is concerned with enabling users to carry out, using a mobile device, all the classical IR operations that they were used to carry out on a desktop. ... More
An Exploratory Study on Visual Exploration of Model Simulations by Multiple Types of ExpertsFeb 05 2019Experts in different domains rely increasingly on simulation models of complex processes to reach insights, make decisions, and plan future projects. These models are often used to study possible trade-offs, as experts try to optimise multiple conflicting ... More
Animated Drag and Drop Interaction for Dynamic Multidimensional GraphsFeb 05 2019In this paper, we propose a new drag and drop interaction technique for graphs. We designed this interaction to support analysis in complex multidimensional and temporal graphs. The drag and drop interaction is enhanced with an intuitive and controllable ... More
Recommender Systems Notation: Proposed Common Notation for Teaching and ResearchFeb 04 2019As the field of recommender systems has developed, authors have used a myriad of notations for describing the mathematical workings of recommendation algorithms. These notations ap-pear in research papers, books, lecture notes, blog posts, and software ... More
Learning User Preferences via Reinforcement Learning with Spatial Interface ValuingFeb 02 2019Interactive Machine Learning is concerned with creating systems that operate in environments alongside humans to achieve a task. A typical use is to extend or amplify the capabilities of a human in cognitive or physical ways, requiring the machine to ... More
Data Driven Analysis of Tiny Touchscreen Performance with MicroJamFeb 02 2019The widespread adoption of mobile devices, such as smartphones and tablets, has made touchscreens a common interface for musical performance. New mobile musical instruments have been designed that embrace collaborative creation and that explore the affordances ... More
Detecting Gaze Towards Eyes in Natural Social Interactions and its Use in Child AssessmentFeb 02 2019Eye contact is a crucial element of non-verbal communication that signifies interest, attention, and participation in social interactions. As a result, measures of eye contact arise in a variety of applications such as the assessment of the social communication ... More
Exploring attention mechanism for acoustic-based classification of speech utterances into system-directed and non-system-directedFeb 01 2019Voice controlled virtual assistants (VAs) are now available in smartphones, cars, and standalone devices in homes. In most cases, the user needs to first "wake-up" the VA by saying a particular word/phrase every time he or she wants the VA to do something. ... More
Self-Control in Cyberspace: Applying Dual Systems Theory to a Review of Digital Self-Control ToolsFeb 01 2019Many people struggle to control their use of digital devices. However, our understanding of the design mechanisms that support user self-control remains limited. In this paper, we make two contributions to HCI research in this space: first, we analyse ... More
Your Gameplay Says it All: Modelling Motivation in Tom Clancy's The DivisionJan 31 2019Is it possible to predict the motivation of players just by observing their gameplay data? Even if so, how should we measure motivation in the first place? To address the above questions, on the one end, we collect a large dataset of gameplay data from ... More
Shaping the Narrative Arc: An Information-Theoretic Approach to Collaborative DialogueJan 31 2019We consider the problem of designing an artificial agent capable of interacting with humans in collaborative dialogue to produce creative, engaging narratives. In this task, the goal is to establish universe details, and to collaborate on an interesting ... More
MultiLock: Mobile Active Authentication based on Multiple Biometric and Behavioral PatternsJan 29 2019In this paper we evaluate mobile active authentication based on an ensemble of biometrics and behavior-based profiling signals. We consider seven different data channels and their combination. Touch dynamics (touch gestures and keystroking), accelerometer, ... More
Performance comparison of an AI-based Adaptive Learning System in ChinaJan 29 2019Adaptive learning systems stand apart from traditional learning systems by offering a personalized learning experience to students according to their different knowledge states. Adaptive systems collect and analyse students' behavior data, update learner ... More
`I make up a silly name': Understanding Children's Perception of Privacy Risks OnlineJan 29 2019Children under 11 are often regarded as too young to comprehend the implications of online privacy. Perhaps as a result, little research has focused on younger kids' risk recognition and coping. Such knowledge is, however, critical for designing efficient ... More
Explaining Models: An Empirical Study of How Explanations Impact Fairness JudgmentJan 23 2019Ensuring fairness of machine learning systems is a human-in-the-loop process. It relies on developers, users, and the general public to identify fairness problems and make improvements. To facilitate the process we need effective, unbiased, and user-friendly ... More
Domain Adaptation for sEMG-based Gesture Recognition with Recurrent Neural NetworksJan 21 2019Surface Electromyography (sEMG) is to record muscles' electrical activity from a restricted area of the skin by using electrodes. The sEMG-based gesture recognition is extremely sensitive of inter-session and inter-subject variances. We propose a model ... More
MilliSonic: Pushing the Limits of Acoustic Motion TrackingJan 20 2019Recent years have seen interest in device tracking and localization using acoustic signals. State-of-the-art acoustic motion tracking systems however do not achieve millimeter accuracy and require large separation between microphones and speakers, and ... More
Moment-to-Moment Detection of Internal Thought from Eye Vergence BehaviourJan 19 2019Internal thought refers to the process of directing attention away from a primary visual task to internal cognitive processing. Internal thought is a pervasive mental activity and closely related to primary task performance. As such, automatic detection ... More
What Makes a Good Conversation? Challenges in Designing Truly Conversational AgentsJan 19 2019Conversational agents promise conversational interaction but fail to deliver. Efforts often emulate functional rules from human speech, without considering key characteristics that conversation must encapsulate. Given its potential in supporting long-term ... More
Friend, Collaborator, Student, Manager: How Design of an AI-Driven Game Level Editor Affects CreatorsJan 18 2019Machine learning advances have afforded an increase in algorithms capable of creating art, music, stories, games, and more. However, it is not yet well-understood how machine learning algorithms might best collaborate with people to support creative expression. ... More
Sign Language Representation by TEO Humanoid Robot: End-User Interest, Comprehension and SatisfactionJan 17 2019In this paper, we illustrate our work on improving the accessibility of Cyber-Physical Systems (CPS), presenting a study on human-robot interaction where the end-users are either deaf or hearing-impaired people. Current trends in robotic designs include ... More
Characterizing and Predicting Email Deferral BehaviorJan 14 2019Email triage involves going through unhandled emails and deciding what to do with them. This familiar process can become increasingly challenging as the number of unhandled email grows. During a triage session, users commonly defer handling emails that ... More
Machine learning for the recognition of emotion in the speech of couples in psychotherapy using the Stanford Suppes Brain Lab Psychotherapy DatasetJan 14 2019The automatic recognition of emotion in speech can inform our understanding of language, emotion, and the brain. It also has practical application to human-machine interactive systems. This paper examines the recognition of emotion in naturally occurring ... More
Modeling neural dynamics during speech production using a state space variational autoencoderJan 13 2019Characterizing the neural encoding of behavior remains a challenging task in many research areas due in part to complex and noisy spatiotemporal dynamics of evoked brain activity. An important aspect of modeling these neural encodings involves separation ... More
BUOCA: Budget-Optimized Crowd Worker AllocationJan 11 2019Due to concerns about human error in crowdsourcing, it is standard practice to collect labels for the same data point from multiple internet workers. We here show that the resulting budget can be used more effectively with a flexible worker assignment ... More
Somatic Practices for Understanding Real, Imagined, and Virtual RealitiesJan 11 2019In most VR experiences, the visual sense dominates other modes of sensory input, encouraging non-visual senses to respond as if the visual were real. The simulated visual world thus becomes a sort of felt actuality, where the 'actual' physical body and ... More
An open source Etextile VR glove for real-time manipulation of molecular simulationsJan 11 2019With VR finding increasing application in scientific research, we are beginning to better understand the domains in which it brings the most benefit, as well as the sorts of gestures which scientific workers find most useful as they navigate simulated ... More
A survey on acoustic sensingJan 11 2019The rise of Internet-of-Things (IoT) has brought many new sensing mechanisms. Among these mechanisms, acoustic sensing attracts much attention in recent years. Acoustic sensing exploits acoustic sensors beyond their primary uses, namely recording and ... More
Progress in Brain Computer Interfaces: Challenges and TrendsJan 11 2019Brain computer interfaces (BCI) provide a direct communication link between the brain and a computer or other external devices. They offer an extended degree of freedom either by strengthening or by substituting human peripheral working capacity and have ... More
BrailleBand: Blind Support Haptic Wearable Band for Communication using Braille LanguageJan 10 2019Visually impaired people are neglected from many modern communication and interaction procedures. Assistive technologies such as text-to-speech and braille displays are the most commonly used means of connecting such visually impaired people with mobile ... More
PFML-based Semantic BCI Agent for Game of Go Learning and PredictionJan 10 2019This paper presents a semantic brain computer interface (BCI) agent with particle swarm optimization (PSO) based on a Fuzzy Markup Language (FML) for Go learning and prediction applications. Additionally, we also establish an Open Go Darkforest (OGD) ... More
Deep Learning for Human Affect Recognition: Insights and New DevelopmentsJan 09 2019Automatic human affect recognition is a key step towards more natural human-computer interaction. Recent trends include recognition in the wild using a fusion of audiovisual and physiological sensors, a challenging setting for conventional machine learning ... More
Cyber Security Awareness Campaigns: Why do they fail to change behaviour?Jan 09 2019The present paper focuses on Cyber Security Awareness Campaigns, and aims to identify key factors regarding security which may lead them to failing to appropriately change people's behaviour. Past and current efforts to improve information-security practices ... More
UAV-GESTURE: A Dataset for UAV Control and Gesture RecognitionJan 09 2019Current UAV-recorded datasets are mostly limited to action recognition and object tracking, whereas the gesture signals datasets were mostly recorded in indoor spaces. Currently, there is no outdoor recorded public video dataset for UAV commanding signals. ... More
Data is Personal: Attitudes and Perceptions of Data Visualization in Rural PennsylvaniaJan 07 2019Many of the guidelines that inform how designers create data visualizations originate in studies that unintentionally exclude populations that are most likely to be among the 'data poor'. In this paper, we explore which factors may drive attention and ... More
Control of a 2-DoF robotic arm using a P300-based brain-computer interfaceJan 05 2019In this study, a novel control algorithm for a P-300 based brain-computer interface is fully developed to control a 2-DoF robotic arm. Eight subjects including 5 men and 3 women, perform a 2-dimensional target tracking task in a simulated environment. ... More
Measuring Physical Activity of Older Adults via Smartwatch and Stigmergic Receptive FieldsJan 02 2019Physical activity level (PAL) in older adults can enhance healthy aging, improve functional capacity, and prevent diseases. It is known that human annotations of PAL can be affected by subjectivity and inaccuracy. Recently developed smart devices can ... More
Wi-Fi Sensing: Applications and ChallengesJan 02 2019Wi-Fi technology has strong potentials in indoor and outdoor sensing applications, it has several important features which makes it an appealing option compared to other sensing technologies. This paper presents a survey on different applications of Wi-Fi ... More
Adaptive EMG-based hand gesture recognition using hyperdimensional computingJan 02 2019Accurate recognition of hand gestures is crucial to the functionality of smart prosthetics and other modern human-computer interfaces. Many machine learning-based classifiers use electromyography (EMG) signals as input features, but they often misclassify ... More
A shortest-path based clustering algorithm for joint human-machine analysis of complex datasetsDec 31 2018Clustering is a technique for the analysis of datasets obtained by empirical studies in several disciplines with a major application for biomedical research. Essentially, clustering algorithms are executed by machines aiming at finding groups of related ... More
EMMA: An Emotionally Intelligent Personal Assistant for Improving WellbeingDec 29 2018The delivery of mental health interventions via ubiquitous devices has shown much promise. A natural conversational interface that allows longitudinal symptom tracking and appropriate just-in-time interventions would be extremely valuable. However, the ... More
BCI decoder performance comparison of an LSTM recurrent neural network and a Kalman filter in retrospective simulationDec 24 2018Intracortical brain computer interfaces (iBCIs) using linear Kalman decoders have enabled individuals with paralysis to control a computer cursor for continuous point-and-click typing on a virtual keyboard, browsing the internet, and using familiar tablet ... More
Parallelized Interactive Machine Learning on Autonomous VehiclesDec 23 2018Deep reinforcement learning (deep RL) has achieved superior performance in complex sequential tasks by learning directly from image input. A deep neural network is used as a function approximator and requires no specific state information. However, one ... More
Robot Assisted Tower Construction - A Resource Distribution Task to Study Human-Robot Collaboration and Interaction with Groups of PeopleDec 22 2018Research on human-robot collaboration or human-robot teaming, has focused predominantly on understanding and enabling collaboration between a single robot and a single human. Extending human-robot collaboration research beyond the dyad, raises novel questions ... More
Do we agree on user interface aesthetics of Android apps?Dec 21 2018Context: Visual aesthetics is increasingly seen as an essential factor in perceived usability, interaction, and overall appraisal of user interfaces especially with respect to mobile applications. Yet, a question that remains is how to assess and to which ... More
A novel approach to study the effect of font and background color combinations on the text recognition efficiency on LCDsDec 20 2018With the popularization of cell phones, laptops, and tablets, Liquid Crystal Displays (LCDs) have become one of the main types of User Interface (UI) in the modern world. While LCDs are widely used for retrieving text information, the impact of text formatting ... More
Progressive Data Science: Potential and ChallengesDec 19 2018Data science requires time-consuming iterative manual activities. In particular, activities such as data selection, preprocessing, transformation, and mining, highly depend on iterative trial-and-error processes that could be sped up significantly by ... More
Automatic Detection of Reflective Thinking in Mathematical Problem Solving based on Unconstrained Bodily ExplorationDec 18 2018For technology (like serious games) that aims to deliver interactive learning, it is important to address relevant mental experiences such as reflective thinking during problem solving. To facilitate research in this direction, we present the weDraw-1 ... More
Iterative annotation to ease neural network training: Specialized machine learning in medical image analysisDec 18 2018Neural networks promise to bring robust, quantitative analysis to medical fields, but adoption is limited by the technicalities of training these networks. To address this translation gap between medical researchers and neural networks in the field of ... More
Motivations, Classification and Model Trial of Conversational Agents for Insurance CompaniesDec 18 2018Dec 19 2018Advances in artificial intelligence have renewed interest in conversational agents. So-called chatbots have reached maturity for industrial applications. German insurance companies are interested in improving their customer service and digitizing their ... More
COGEVIS: A New Scale to Evaluate Cognition in Patients with Visual DeficiencyDec 18 2018We evaluated the cognitive status of visually impaired patients referred to low vision rehabilitation (LVR) based on a standard cognitive battery and a new evaluation tool, named the COGEVIS, which can be used to assess patients with severe visual deficits. ... More
Understanding Mobile Search Task Relevance and User Behaviour in ContextDec 17 2018Jan 13 2019Improvements in mobile technologies have led to a dramatic change in how and when people access and use information, and is having a profound impact on how users address their daily information needs. Smart phones are rapidly becoming our main method ... More
Improving the Performance of Unimodal Dynamic Hand-Gesture Recognition with Multimodal TrainingDec 14 2018We present an efficient approach for leveraging the knowledge from multiple modalities in training unimodal 3D convolutional neural networks (3D-CNNs) for the task of dynamic hand gesture recognition. Instead of explicitly combining multimodal information, ... More
EEG-based Communication with a Predictive Text AlgorithmDec 14 2018Dec 17 2018Several changes occur in the brain in response to voluntary and involuntary activities performed by a person. The ability to retrieve data from the brain within a time space provides basis for in-depth analyses that offer insight on what changes occur ... More
Data Provenance for SportDec 14 2018Data analysts often discover irregularities in their underlying dataset, which need to be traced back to the original source and corrected. Standards for representing data provenance (i.e. the origins of the data), such as the W3C PROV standard, can assist ... More
Comparison of Recommender Systems in an Ed-Tech ApplicationDec 13 2018Dec 15 2018Smile and Learn is an Ed-Tech company that runs a smart library with more that 100 applications, games and interactive stories, aimed at children aged 2 to 10 and their families. Given the complexity of navigating all the content, the library implements ... More
Subjective Annotations for Vision-Based Attention Level EstimationDec 12 2018Jan 24 2019Attention level estimation systems have a high potential in many use cases, such as human-robot interaction, driver modeling and smart home systems, since being able to measure a person's attention level opens the possibility to natural interaction between ... More
Theory of Robot Communication: II. Befriending a Robot over TimeDec 10 2018In building on theories of Computer-Mediated Communication (CMC), Human-Robot Interaction, and Media Psychology (i.e. Theory of Affective Bonding), the current paper proposes an explanation of how over time, people experience the mediated or simulated ... More
Theory of Robot Communication: I. The Medium is the Communication PartnerDec 10 2018When people use electronic media for their communication, Computer-Mediated Communication (CMC) theories describe the social and communicative aspects of people's interpersonal transactions. When people interact via a remote-controlled robot, many of ... More
Artificial Intelligence Assisted Infrastructure Assessment Using Mixed Reality SystemsDec 09 2018Conventional methods for visual assessment of civil infrastructures have certain limitations, such as subjectivity of the collected data, long inspection time, and high cost of labor. Although some new technologies i.e. robotic techniques that are currently ... More
Virtual replicas of real places: Experimental investigationsDec 09 2018The emergence of social virtual reality (VR) experiences, such as Facebook Spaces, Oculus Rooms, and Oculus Venues, will generate increased interest from users who want to share real places (both personal and public) with their fellow users in VR. At ... More