Challenges In Human-computer Interaction Research Articles

A Review and Comparative Study of Works that Care is Monitoring Detection and Therapy of Children with Autism Spectrum Disorder

Recognizing human activity from video sequences and sensor data is one of the major challenges in human-computer interaction and computer vision. Health care is a rapidly developing field of technology and services. The latest development in this field is remote patient monitoring, which has many advantages in a rapidly evolving world. With relatively simple applications for monitoring patients within hospital rooms, technology has advanced to the point where a patient can be allowed to carry out normal daily activities at home while still being monitored using modern communication technologies and sensors. These new technologies can monitor patients based on their disease or condition. The technology varies from sensors attached to the body to peripheral sensors connected to the environment, and innovations show contactless monitoring that only requires the patient to be within a few meters of the sensor. Nowadays, the Internet of Things, wearable devices, mobile technologies, and improved communication and computing capabilities have given rise to innovative mobile health solutions, and several research efforts have recently been made in the field of autism spectrum disorders (ASD). This technology may be particularly useful for some rapidly changing emotional states, especially people with ASD. Children with ASD have some disturbing activities, and usually cannot speak fluently. Instead, they use signs and words to establish rapport, so understanding their needs is one of the most challenging tasks for healthcare providers, but monitoring the disease can make it much easier. We study in this work more than 50 collected articles that have made a significant contribution to the field were selected. Indeed, the current paper reviews the literature to identify current trends, expectations, and potential gaps related to the latest portable, smart, and wearable technologies in the field of ASD. This study also provides a review of recent developments in health care and monitoring of people with autism.

Recent trends and challenges in human computer interaction using automatic emotion recognition: a review

Recent trends and challenges in human computer interaction using automatic emotion recognition: a review

Recent trends and challenges in human computer interaction using automatic emotion recognition: a review

Recent trends and challenges in human computer interaction using automatic emotion recognition: a review

Transgender Inclusive and Affirming Design in Computing

This paper seeks to bring further attention to transgender experiences and issues in the context of software applications. Research on transgender experiences has generally been quite limited, and the majority of that work has focused on non-digital environments. However, we argue that transgender individuals encounter several unique human-computer interaction challenges that are not typically experienced (or perhaps even considered) by cisgender individuals. This paper first articulates general challenges for transgender persons, and then discusses specific manifestations in computing: name display and updating, demographic data forms, and automating gendered assumptions. Potential recommendations are offered.

Enhancing User Experience through Adaptive Human-Computer Interaction

Human-Computer Interaction (HCI) plays a crucial role in designing intuitive and user-friendly interfaces, ensuring efficient and effective interaction between humans and computer systems. Traditional HCI approaches focus on general usability criteria, but with the increasing complexity of modern computer systems and the diverse needs of users, a more personalized and contextually relevant approach is necessary. This research paper explores adaptive approaches in HCI and their impact on enhancing the user experience. The paper begins by providing a background on HCI, emphasizing its significance in today's technology-driven society. It highlights the importance of designing interfaces that meet user expectations and discusses the evolution of HCI from usability- focused approaches to the need for adaptive strategies that cater to individual user needs and preferences. The research objectives are outlined, focusing on investigating the benefits and challenges of adaptive HCI in enhancing user satisfaction and engagement. The paper addresses specific research questions, including the impact of adaptive HCI strategies on user satisfaction, the accommodation of diverse user needs and preferences, and the technical and implementation challenges associated with adaptive HCI

An Eye Movement Study in Unconventional Usage of Different Software Tools.

One of the main challenges of Human-Computer Interaction is the creation of UIs that enable the use of different systems in an easy and understandable method. The study analyses the student audience who uses software tools differently from the basis. In the research, two languages supporting UI implementation related to .NET technology, XAML and classic C#, were compared in terms of the cognitive load of test subjects. The results of the traditional knowledge level assessment tests and the answers to the questionnaires show that the UI implementation described in XAML is easier to read and understand than the same description in classic C#. When viewing the source codes, the eye movement parameters of the test subjects were also recorded and then evaluated, where a significant difference in the number and duration of fixations was observed, i.e., the interpretation of the classic C# source code showed a larger cognitive load. Overall, the results of the eye movement parameters supported the results of the other two measurement methods when comparing the different types of UI descriptions. The results established in the study and its conclusion may have an impact on programming education as well as industrial software development in the future, and also clearly shows the importance of choosing the development technology that best suits the person or development team.

Lessons Learned from Modeling the Interaction with Conversational Agents

Intelligent conversational agents have become widespread. Inspired by conversations in natural language, they present different degrees of intelligence and autonomy, bringing challenges for Human-Computer Interaction (HCI). One such challenge concerns design languages for modeling user-agent interaction. We focus here on MoLIC, a design-phase dialogue model based on Semiotic Engineering theory devised to represent user-system interactions as conversations. We performed two case studies with MoLIC interaction diagrams representing two conversational agents – the ANA chatbot and Samsung Bixby. We examined how the interactive aspects of these agents could be expressed in MoLIC. Although it was possible to express the general interaction, our results showed limitations related to the language expressiveness or its inadequacy to represent these systems. We identified limitations in the applicability of MoLIC in modeling and pondered on how to extend or adapt it; directing the HCI community to issues and initiatives that can help design and model these technologies.

Measuring the Effects of Usability Recommendations for Mobile Instant Messaging Apps on User Performance and User Behaviour

Researchers worldwide have extensively investigated the influence of Human-Computer Interaction (HCI) on Mobile Instant Messaging applications, exploring aspects such as usability issues and user behaviour. However, traditional HCI challenges remain in these applications today (ie, usability issues and lack of specific usability guidelines). In this paper, we present a contextual and methodological contribution measuring user performance (with a controlled experiment on a set of structured tasks following a within-subjects design) and user behaviour (with a user satisfaction questionnaire) on Mobile Instant Messaging applications with end users. Most of the current studies on Mobile Instant Messaging are focused on only one application at a time and in a specific region of the world. This experiment originally measures over four apps: Three in-market apps (apps with good usability results, selected from previous studies) and one app developed following usability recommendations. In addition, this research originally adds to the current literature results with participants from two different countries. The results show, as practical implications, that the application of specific usability recommendations for Mobile Instant Messaging applications (eg, adding a new contact only with the ID, or providing a visual distinction between individual and group chats, among others) significantly facilitates user performance with these applications. However, further dissemination is needed among researchers and developers. The findings on user behaviour show that the number of close contacts using a particular Mobile Instant Messaging application strongly determines the user’s intention to continue using an application. And not the features offered or the acceptance of the user interface, as most current studies suggest.

Human-computer interaction for virtual-real fusion

Human-computer interaction for virtual-real fusion

A meta-scientific broad panorama of ethical aspects in the Brazilian IHC

Ethics is a field of study that analyses practices, their principles, customs, and habits. The Grand Research Challenges in Human-Computer Interaction in Brazil (GranDIHC-BR) between 2012 and 2022 highlighted the relevance of the topic Ethics in the context of Human Values. Aligned with that, we claim that computational techniques are not neutral and, therefore, ethical analysis is essential to the design of applications as well as theoretical or conceptual research. The goal of this work is to provide an understanding on how researchers have addressed the ethical aspects by analyzing the publications of the IHC-BR: the Brazilian Symposium on Human Factors in Computing Systems, the leading conference dedicated to HCI in Brazil. Thus, we conducted a Systematic Literature Review guided by the main research question: how does ethics permeate research published between 2006 and 2021? As a result, although less than 5% of the papers discussed ethical content, we observed a significant growth in ethical aspects over the years, both associated with the meta-research and its application.

A human-in-the-loop haptic interaction with subjective evaluation

To date, one of the challenges in Human-Computer Interaction (HCI) is fully immersive multisensory remote physical interaction technologies. The applications of haptic perception in HCI can enrich the interaction details and effectively improve the immersion and realism of interaction. In the human-in-the-loop haptic interaction system, the quality of experience (QoE) of the human operator plays an essential role. However, QoE in haptic interaction is still in its infancy. Based on the typical application scenarios of haptic operation, the paper constructs a haptic-visual interaction framework and analyzes the QoE influencing factors. Through subjective evaluation experiments, the paper establishes a haptic interaction database that can provide a research basis for further exploring the relationship between various influencing factors and interactive QoE.

Understanding HCI Practices and Challenges of Experiment Reporting with Brain Signals: Towards Reproducibility and Reuse

In human-computer interaction (HCI), there has been a push towards open science, but to date, this has not happened consistently for HCI research utilizing brain signals due to unclear guidelines to support reuse and reproduction. To understand existing practices in the field, this paper examines 110 publications, exploring domains, applications, modalities, mental states and processes, and more. This analysis reveals variance in how authors report experiments, which creates challenges to understand, reproduce, and build on that research. It then describes an overarching experiment model that provides a formal structure for reporting HCI research with brain signals, including definitions, terminology, categories, and examples for each aspect. Multiple distinct reporting styles were identified through factor analysis and tied to different types of research. The paper concludes with recommendations and discusses future challenges. This creates actionable items from the abstract model and empirical observations to make HCI research with brain signals more reproducible and reusable.

Human Computer Interaction During Clinical Decision Support With Electronic Health Records Improvement

This study investigated the most common challenges of human-computer interaction (HCI) while using electronic health records (EHR) based on the experience of a large Russian medical research center. The article presents the results of testing DSS implemented in the mode of an additional interface with the EHR. The percentage of erroneous data for two groups of users (with and without notifications) is presented for the entire period of the experiment and the weekly dynamics of changes. The implementation of CDSS in the supplemented interface mode of the main medical information system (MIS) has had a positive effect in reducing user errors in the data. The results of users' survey are presented, showing a satisfactory evaluation of the implemented system. This study is part of a larger project to develop complex CDSS on cardiovascular disorders for medical research centers.

SKETRACK: Stroke-Based Recognition of Online Hand-Drawn Sketches of Arrow-Connected Diagrams and Digital Logic Circuit Diagrams

Digitalization of handwritten documents has created a greater need for accurate online recognition of hand-drawn sketches. However, the online recognition of hand-drawn diagrams is an enduring challenge in human-computer interaction due to the complexity in extracting and recognizing the visual objects reliably from a continuous stroke stream. This paper focuses on the design and development of a new, efficient stroke-based online hand-drawn sketch recognition scheme named SKETRACK for hand-drawn arrow diagrams and digital logic circuit diagrams. The fundamental parts of this model are text separation, symbol segmentation, feature extraction, classification, and structural analysis. The proposed scheme utilizes the concepts of normalization and segmentation to isolate the text from the sketches. Then, the features are extracted to model different structural variations of the strokes that are categorized into the arrows/lines and the symbols for effective processing. The strokes are clustered using the spectral clustering algorithm based on p-distance and Euclidean distance to compute the similarity between the features and minimize the feature dimensionality by grouping similar features. Then, the symbol recognition is performed using modified support vector machine (MSVM) classifier in which a hybrid kernel function with a lion optimized tuning parameter of SVM is utilized. Structural analysis is performed with lion-based task optimization for recognizing the symbol candidates to form the final diagram representations. This proposed recognition model is suitable for simpler structures such as flowcharts, finite automata, and the logic circuit diagrams. Through the experiments, the performance of the proposed SKETRACK scheme is evaluated on three domains of databases and the results are compared with the state-of-the-art methods to validate its superior efficiency.

Speech Emotion Recognition Based on Gender Influence in Emotional Expression

The real challenge in human-computer interaction is understanding human emotions by machines and responding to it accordingly. Emotion varies by gender and age of the speaker, location, and cause. This article focuses on the improvement of emotion recognition (ER) from speech using gender-biased influences in emotional expression. The problem is addressed by testing emotional speech with an appropriate specific-gender ER system. As acoustical characteristics vary among the genders, there may not be a common optimal feature set across both genders. Gender-based speech emotion recognition, a two-level hierarchical ER system is proposed, where the first level is gender identification which identifies the gender, and the second level is a gender-specific ER system, trained with an optimal feature set of expressions of a particular gender. The proposed system increases the accuracy of traditional Speech Emotion Recognition Systems (SER) by 10.36% than the SER trained with mixed gender training when tested on the EMO-DB Corpus.

Safety-critical human computer interaction

Abstract Dealing with usability issues of safety-critical interactive systems is essential for an efficient, effective and joyful use of these systems. This paper describes a prototypical safety-critical environment and discusses the HCI (human computer interaction) challenges of different interactive systems for safety-critical environments. We designed, developed and evaluated various interactive systems which solve different challenges in so-called mass casualty incidents (MCIs). In summary, we made contributions to three different areas of application: Mobile computing in safety-critical environments, simulation of safety-critical environments and social media in safety-critical environments. Finally, this paper gives further insights how all these research results can to be brought together in the future in order to be able to build usable interactive systems for safety-critical environments.

Interacting with personal fabrication devices

AbstractPersonal fabrication tools, such as 3D printers, are on the way of enabling a future in which non-technical users will be able to create custom objects. While the hardware is now affordable and the number of people who own a 3D printer is increasing, only few create new 3D models. Most users download models from a 3D model database and after downloading fabricate them on their 3D printers. At most, users adjust a few parameters of the model, such as changing its color or browsing between predetermined shape options.I argue that personal fabrication has the potential for more: Instead of only consuming existing content, I envision a future in which non-technical users will create objects only trained experts can create today. While there are many open challenges for human-computer interaction, such as abstracting away the necessarydomainandmachineknowledge, I focus on improving theinteraction modelunderlying current personal fabrication devices.In this article, I illustrate why today’s interaction model for personal fabrication tools is not suitable for non-technical users. For this, I draw an analogy to the development of the user interface in personal computing and show how solutions developed by human-computer interaction researchers over the last decades can be applied to this new domain. I analyze the challenges when creating interactive systems for personal fabrication and describe six research prototypes I built to overcome these challenges. I discuss the limitations of these systems and conclude with an overview of recent advancements in personal fabrication that will allow us to go beyond what is possible today.

Internet of Tangible Things (IoTT): Challenges and Opportunities for Tangible Interaction with IoT

In the Internet of Things era, an increasing number of everyday objects are able to offer innovative services to the user. However, most of these devices provide only smartphone or web user interfaces. As a result, the interaction is disconnected from the physical world, decreasing the user experience and increasing the risk of user alienation from the physical world. We argue that tangible interaction can counteract this trend and this article discusses the potential benefits and the still open challenges of tangible interaction applied to the Internet of Things. After an analysis of open challenges for Human-Computer Interaction in IoT, we summarize current trends in tangible interaction and extrapolate eight tangible interaction properties that could be exploited for designing novel interactions with IoT objects. Through a systematic review of tangible interaction applied to IoT, we show what has been already explored in the systems that pioneered the field and the future explorations that still have to be conducted. In order to guide future work in this field, we propose a design card set for supporting the generation of tangible interfaces for IoT objects. The card set has been evaluated during a workshop with 21 people and the results are discussed.

Design of near optimal user interface with minimal UI elements using evidence based recommendations and multi criteria decision making: TOPSIS method

One among the research challenges in human computer interaction (HCI) is to build user interfaces in the way that make users satisfy. This would improve the usability of an information system. In g...

Improving Electronic Medical Records with Support of Human Computer Interaction in Medical Information Systems

This study investigated the most common challenges of human computer interaction (HCI) while using electronic medical records (EMR) based on the experience of a large Russian medical research center. The paper presents the results of testing DSS implemented in the mode of an additional interface with the EMR. The percentage of erroneous data for two groups of users (with and without notifications) is presented for the entire period of the experiment and the weekly dynamics of changes. The implementation of CDSS in the supplemented interface mode of the main MIS has had a positive effect in reducing user errors in the data. The results of the users survey are presented, showing a satisfactory evaluation of the implemented system. This study is part of a larger project to develop complex CDSS on cardiovascular disorders for medical research centers.