Design Of Interactive Systems Research Articles

The effects of work task difficulty on health information searching behaviour

Information needs and information seeking processes depend on contextual factors. Identifying and paying attention to contextual factors such as work tasks can be helpful for personalization of information retrieval. This study aimed to determine the relationship between work task difficulty and interactive health information searching behaviour (HISB). The study was performed through an analysis of transaction logs to identify relation between the work task difficulty and HISB of postgraduate student health ambassadors (PSHB). Thirty participants were purposefully sampled and invited to complete four simulated work tasks. User perception of work task difficulty, satisfaction, and success of search process were measured using questionnaires. A total of 120 log files were analysed. The results showed that with increasing tasks difficulty, PSHB see more results pages, review more information items and finally save more documents. Also, with increasing difficulty, PSHB enter more and longer queries in information retrieval systems and, in addition to changing the query more, they use more keywords and longer queries to search. As the task difficulty increases, the rate of satisfaction and success, as well as the navigational speed decrease. Understanding how work task attributes affect HISB can be effective for designers of interactive information retrieval systems, and developers of personalized health information retrieval systems and recommendation systems based on contextual information.

Application of artificial intelligence wearable devices based on neural network algorithm in mass sports activity evaluation

Based on the rapid development of big data, cloud computing, Internet of things and other technologies in recent years, intelligent hardware devices has been applied to all aspects of life. Under this background, some scholars have put forward relevant concepts such as “Smart Life”. In the field of mass sports life, through the development and application of science and technology, there has been new changes related to the application of neural network algorithm technology and intelligent hardware devices. Therefore, artificial intelligence wearable devices based on wearable technology came into being. This paper analyzes the application of this device in mass sports activities. Then, this paper describes the key research technologies of motion data processing based on neural network algorithm, including: depth frame differential convolution neural network structure, motion data extraction method, human motion signal processing algorithm, etc.; then it analyzes the action recognition and interaction system design based on Intelligent wearable devices. Finally, it analyzes the recognition results of human action system, the accuracy of human action recognition system and the factors that affect the performance of the recognition system. It is concluded that the artificial intelligent wearable devices designed in this paper can be well used in popular sports activities. Finally, it introduces the research on the evaluation strategy of popular sports activities based on artificial intelligence, and hopes that this equipment can help public sports activities. This paper studies the neural network algorithm and applies it to the design process of artificial intelligence wearable devices, which promotes the development of mass sports activity evaluation.

Hybrid gene regulatory network for product styling construction in interactive evolutionary design

Interactive evolutionary design (IED) systems, based on interactive evolutionary algorithms, have been the hot topic in both computer science and design recently. Due to the difference in both designer preferences and design capabilities for product styling, there are still many challenges that need to be addressed in practical application of IED. In order to tackle these challenges, this paper proposes a hybrid complex network model for product styling. The model incorporates both design knowledge and personal preferences, through a so-called gene regulatory network (GRN). First, we construct a GRN for product styling using design knowledge with both explicit and implicit knowledge, and then a GRN for product styling based on personal preferences using Boolean evaluation. In the next, combining the design knowledge and personal preferences, we construct a hybrid GRN for product styling. Then, according to the knowledge findings from GRNs, we develop an application strategy of the analytic knowledge in an IED. Taking the product styling SUV as an example, validation work is carried out to evaluate the evolutionary efficiency and design quality. The experimental results demonstrate that the proposed strategy, which embeds expert knowledge in an IED, can greatly improve the efficiency and quality of product styling designs.

Design of interactive enterprise financial system based on Multi-user scheduling and cellular network

Design of interactive enterprise financial system based on Multi-user scheduling and cellular network

Reflect–Express–Transform: Investigating Speech-Based Iterative Digital Design for Young Designers

Abstract We investigate speech-based input as a means to enable reflective thinking for younger individuals (middle- and high-school students) during design iterations. Verbalization offers a unique way to externalize ideas in early design and could therefore lead to new pathways for exploration and iteration, especially for K-12 students who possess the creative potential but are not technically trained in the design process. Interactive design systems, however, by-and-large utilize sketching, multitouch, and gestural inputs. As a result, (1) there is little know-how regarding how to operationalize verbal inputs as a meaningful way to facilitate idea exploration and (2) there is little fundamental understanding of the underlying cognitive mechanisms for iteration through verbal communication. We take the initial steps toward these gaps by first designing and implementing the ShapOrator interface that takes verbal descriptions of geometric parameters (shape, size, instances) in a semi-natural language form and determines the appropriate transformations to a given design artifact modeled as a shape assembly. By using ShapOrator as our experimental setup, we conducted an in-depth observational study on ten middle- and high-school students tasked with designing spaceships. Our study revealed that participants were able to create a variety of designs while associating functional and topical contexts to their spaceships throughout the design iteration process.

Design of AI Interactive Art System Based on Computer Vision

Design of AI Interactive Art System Based on Computer Vision

E-LEARNING UNIVERSITY EVALUATION THROUGH SENTIMENT ANALYSIS CENTERED ON USER EXPERIENCE DIMENSIONS

The COVID-19 crisis increased the number of users of university online teaching, enhancing the importance of this learning format. Additionally, ISO 9241-210:2019 standard sets the international standards for the design of products, services and interaction systems from usability, accessibility, and user experience (User eXperience - UX) perspective. Then, in order to design interfaces and learning experiences that include motivations, feelings and needs of end users, it is necessary to previously evaluate the UX of these environments, with less general and/or laborious methods than those that currently exist. Therefore, this work aims to establish the basis of a method that allows to automatically evaluate the UX of online teaching platforms by analyzing the users' sentiment about specific aspects of their virtual learning experience. To do this, 2,035 users were surveyed about their online learning experience with a questionnaire and an open text field to give their opinion. The population surveyed were online postgraduate students of the Universitat de València and the Universidad Rey Juan Carlos, and university students of massive open online courses of the Universitat Politècnica de València. The opinions collected in Spanish from 476 students were processed with the commercial sentiment analysis and natural language processing tool MeaningCloud, to analyze the sentiment (positive, negative, or neutral) about aspects of their experience. The results present a new model that, on the one hand, ontologically classifies categories and aspects of online education with sentiment analysis techniques, and on the other hand, the model groups these categories according to UX criteria, presenting its own classification to facilitate the evaluation of online learning experiences in a concrete and automatic way. Keywords: user experience, UX, e-learning, virtual learning, sentiment analysis, data mining, MeaningCloud, natural language processing, university online learning, user centered design, UCD, NLP, VLE

Can AI-Oriented Requirements Enhance Human-Centered Design of Intelligent Interactive Systems? Results from a Workshop with Young HCI Designers

In this paper, we show that the evolution of artificial intelligence (AI) and its increased presence within an interactive system pushes designers to rethink the way in which AI and its users interact and to highlight users’ feelings towards AI. For novice designers, it is crucial to acknowledge that both the user and artificial intelligence possess decision-making capabilities. Such a process may involve mediation between humans and artificial intelligence. This process should also consider the mutual learning that can occur between the two entities over time. Therefore, we explain how to adapt the Human-Centered Design (HCD) process to give centrality to AI as the user, further empowering the interactive system, and to adapt the interaction design to the actual capabilities, limitations, and potentialities of AI. This is to encourage designers to explore the interactions between AI and humans and focus on the potential user experience. We achieve such centrality by extracting and formalizing a new category of AI requirements. We have provocatively named this extension: “Intelligence-Centered”. A design workshop with MsC HCI students was carried out as a case study supporting this change of perspective in design.

An augmented reality interface to control a collaborative robot in rehab: A preliminary usability evaluation.

Human emotions can be seen as a valuable variable to explore in Human-Computer Interaction for effective, efficient, and satisfying interface development. The inclusion of appropriate emotional triggers in the design of interactive systems can play a decisive role in users' acceptance or rejection. It is well known that the major problem in motor rehabilitation is the high dropout rate resulting from the frustrated expectations given the typical slow recovery process and consequent lack of motivation to endure. This work proposes grouping a collaborative robot with one specific augmented reality equipment to create a rehabilitation system where some gamification levels might be added to provide a better and more motivating experience to patients. Such a system, as a whole, is customizable to adapt to each patient's needs on the rehabilitation exercises. By transforming a tedious exercise into a game, we expect to create an additional layer of enjoyment that can help in triggering positive emotions and stimulate users to continue the rehabilitation process. A pre-prototype was developed to validate this system's usability, and a cross-sectional study using a non-probabilistic sample of 31 individuals is presented and discussed. This study included the application of three standard questionnaires on usability and user experience. The analyses of these questionnaires show that the majority of the users found the system easy and enjoyable. The system was also analysed by a rehabilitation expert who gave a positive output regarding its usefulness, and positive impact on its use in the upper-limb rehabilitation processes. These results clearly encourage further development of the proposed system.

An Interactive Decision Support System for College Degree Planning

Many students in the Unites States enter college without having decided on a focus for their studies, and thus are faced with choosing from a large number of potential majors and associated very complex sets of degree requirements which can include many courses in other areas of study. Academic advisors use academic planning tools to help students make decisions about class schedules, selecting an academic major or minor, planning for graduation, and many other academic related activities. There is a dearth of decision support systems for degree planning, mainly due to the complexity of degree requirements, and thus many existing academic planning tools utilize static documents or PDF files for displaying information pertaining to degree requirements and course prerequisites. This work considers the complexity of degree requirements and presents the design and implementation of an efficient interactive decision support system that helps students explore degree completion paths. Keywords: degree planning, academic advising, academic decision making, decision support system, college degree planning

Towards Human Activity-Based Interactive Communication Systems’ Design in Higher Learning Institutions: Study Conducted in Tanzania Higher Learning Institutions

The power of human computer interaction in interactive systems’ design processes is unimaginable as it determines their usability. However, these design processes encounter several challenges which make most of the designed interactive systems, notably in higher learning institutions fail to suitably satisfy targeted users’ needs despite the fact that they are normally designed based on their requirements.
 This study begins by exploring the challenges facing main communication and interaction means used in Tanzania higher learning institutions. The study then provides a review of challenges related to key research areas associated with interactive systems’ design. Based on the reviewed challenges, authors combined design science research with activity theory to come up with suited techniques through which user-involved interactive communication frameworks needed for suitable design of human activity-based interactive communication systems’ can be obtained.
 Based on that approach, authors came up with a suited four phase Design Science Research methodology to be used in designing of applicable frameworks. In its first phase and following a crucial user-centred design process, authors were able to come up with a Human-Activity Design Centred Framework for capturing most of the users’ needs in the design process through activities performed as well as a Human Factors’ Approach to interactive communication systems design in HLIs’.

Nurse, Give Me the News! Understanding Support for and Opposition to a COVID-19 Health Screening System.

Helping the sick and protecting the vulnerable has long been the credo of the health profession. In response to the coronavirus-disease-2019 (COVID-19 pandemic), hospitals and healthcare institutions have rapidly employed public health measures to mitigate patient and staff infection. This paper investigates staff and visitor responses to the COVID-19 eGate health screening system; a self-service technology (SST) which aims to protect health care workers and facilities from COVID-19. Our study evaluates the in situ deployment of the eGate, and employs a System Usability Scale (SUS) and questionnaire (n = 220) to understand staff and visitor's acceptance of the eGate. In detailing the themes relevant to those who advocate for the system and those who oppose it, we contribute towards a more detailed understanding of the use and non-use of health-screening SSTs. We conclude with a series of considerations for the design of future interactive screening systems within hospitals.

Design and assessment of a vision computing-based multimedia interaction system for hybrid teaching.

Hybrid teaching is a novel education mode that combines both online activities and offline activities. The main technical point is to facilitate the interaction between online and offline scenarios. The vision computing acts as the most intuitive way for this purpose. As a consequence, this paper designs a vision computing-based multimedia interaction system for hybrid teaching, and makes some empirical evaluation. It is composed of two parts: design and evaluation. For the former, macroscopic architecture of the interaction system is presented, and fundamental protocol for video transmission and analysis is defined. On this basis, an optimal scheduling algorithm that coordinates collaborative work of several modules is designed. For the latter, a prototype system is developed for experimental simulation to test abilities of both visual information processing and interactive scheduling. The results show that the designed multimedia interaction system can well implement hybrid teaching affairs under the guarantee of remote interaction performance.

Design of a virtual simulation interaction system based on enhanced reality

<abstract><p>Traditional virtual simulated interaction systems experience data fragmentation during the process of converting from two-dimensional to three-dimensional information, resulting in reduced realism and an inability to meet the teaching requirements of computer courses. Therefore, the integration of augmented reality (AR) technology into the educational environment remains an urgent and unresolved issue. To address the aforementioned issues, this paper investigates the data throughput limitations present in virtual simulation interaction systems. In response to this problem, an application solution utilizing AR technology is proposed, specifically a design concept for a virtual simulation interactive system tailored to computer-related courses. This system achieves its objectives through the collaborative interaction of AR hardware and supplementary software algorithms. The AR hardware is subdivided into framework design and functional hardware design, while the software components encompass AR models, virtual interaction models, and fusion methods. Through testing and comparison of the data throughput of this system with two other virtual simulation interaction systems, it was found that the virtual simulation interactive system optimized using AR technology can effectively enhance data throughput and address the issue of reduced realism in virtual interaction scenes caused by data fragmentation. This design system provides a more realistic and efficient mode of interaction for teaching computer-related courses.</p></abstract>

Design of virtual reality cycling intelligent interaction system based on VR technology

Design of virtual reality cycling intelligent interaction system based on VR technology

Application of gesture recognition in graphic design and control of information interaction system

Application of gesture recognition in graphic design and control of information interaction system

Design and implementation of a breathing interaction system for autistic Thai children

Design and implementation of a breathing interaction system for autistic Thai children

Design of virtual reality cycling intelligent interaction system based on VR technology

Design of virtual reality cycling intelligent interaction system based on VR technology

Application of gesture recognition in graphic design and control of information interaction system

Application of gesture recognition in graphic design and control of information interaction system

Interview of Ivan Sutherland

Ivan E. Sutherland was born in Hastings, Nebraska, in 1938. He received a BS from the Carnegie Institute of Technology (1959) in electrical engineering, an MS from Caltech (1960) and a PhD in electrical engineering from MIT (1963) <p xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Sutherland's dissertation, Sketchpad: A Man Machine Graphical Communication System, described a groundbreaking interactive computer-aided design system, one whose graceful interaction and functionality inspire admiration among computer graphics professionals even today <p xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">From 1964 to 1966, Sutherland was director of the Information Processing Techniques Office of the Advanced Research Projects Agency (ARPA), where he guided computer research across the United States. In 1968, he joined colleague David Evans to build a center of computer graphics research at the University of Utah and to found with him the Evans and Sutherland Computer Corporation <p xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">From 1976 to 1980, Sutherland served as chairman of computer science at Caltech, and from 1980 onwards, was a vice president of the consulting firm Sutherland, Sproull and Associates, acquired by Sun Microsystems in 1990 to form the basis of its corporate research laboratory <p xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Sutherland has won many awards for his work, including the ACM Turing Award (1988) the IEEE John von Neumann Medal (1998). He is a Fellow of the Computer History Museum.