Do Architects and Designers Think about Interactivity Differently?

The technologies holds the ability to change the world. Current digital era is a product of the evolutionary technologies. It created the necessity to increase the Human Computer Interaction (HCI) and it became one of the most emerging research areas of the decade. HCI is an interface between the users and the system to improve the interaction. HCI concept came into existence in early 1980's. One of the emerging new research area in HCI is Context Aware System (CAS). The technological advancements in HCI created a new outlook in the research of CAS. CAS is a system which understand the user, their surroundings, and location. CAS make this possible by processing the environmental and bio-acoustic. Sound is one of the important media for both humans and animals to communicate and understand information. Bird sound, vehicle sound, wind sound etc. are some of the environmental and bio acoustics. Processing these sounds or signals will help us to create a better performing CAS. This paper profiles a survey study on bird sound classification and identification. Automatic identification of bird sound is one among the difficult task in signal processing. Also, the paper will profile the previous research works on various phases in bird vocalization processing; such as preprocessing, feature selection and classification.

Human-computer interaction for virtual-real fusion

This paper examines distributed design that involved educational science, information and communication technology (ICT) and human–computer interaction (HCI) specialists collaboratively designing a learning application. The design process is characterized by coordinating, contributing, contesting and representing. The HCI specialists “represented the user”, but users remained silent during the design process. The design work was dominated by ‘coordinating’ activity, but also ‘proposing’ and ‘evaluating’ activities were prominent. The educational science specialists were the most active ones in the design discussions, heavily involved in ‘proposing’ and ‘coordinating’ activities. The HCI specialists were involved in those as well, but distinctly contributed through ‘evaluating’ activity. Interestingly, also ‘challenging’ and ‘ignoring’ activities characterized the distributed design process among the educational science specialists and HCI specialists: design emerged as a political, conflictual process. The very limited ICT support for distributed design became also accentuated. This study opens up interesting avenues for future research in this respect.

Others' Actions Reduce Crossmodal Integration in Peripersonal Space

The challenges of designing computer support for education have shifted considerably in recent years, with, e.g., the rapid growth of the Web, online learning and social networking. New human–computer interaction (HCI) design approaches, methods, tools and theories are now required to analyze and understand interactions and learning of online groups. This chapter first reviews a number of issues related to the new software and pedagogy challenges. It then presents the approach of the VMT research project to address these issues by combining support for integrated synchronous and asynchronous collaboration media. The VMT system integrates a lobby, small-group chat rooms, multiple shared work spaces and community wiki pages to foster learning at the individual, small-group and community levels. The use of this system for a college HCI course is reported. The VMT Project illustrates the application of design-based research to system development, the theory of group cognition as a conceptual framework and an adaptation of chat interaction analysis for HCI design.

The development of computer technology has materialized into the term of human computer interaction. Research studies in human computer interaction studied young age groups that are educated and technically inclined. This paper will study the mental model in Human Computer Interaction that could be useful in some area. There are a number of types of this review paper on the Internet. One will lay out the current approach, result, trends, in the human computer interaction and the other approach will look into research construction that have been around long before but are now forgotten. In this paper, the author is also looking at the landscape in the emotional intelligence of a user so that they are more user like, fidelity prototyping. The development and design of an automated system that performs this task is still being undertaken. The notion of human-computer interaction is conceived as a result of the evolution of the development criteria of computer technology. The next generation of individuals (those at a younger age cohort) in which is termed an educated, technical, or at least knowledgeable individual will also be the focus of individual (tech) research experiments in human-computer interaction. Human-computer interaction (HCI) refers to both technical and human behaving aspects. The central tenets of practical studies in human-computer interaction are to reveal implicit knowledge about human behaviour and human interaction with technology. Resilience is set of behaving contextually taken collectively reacts to challenges. The term resilience has been applied to virtually everything from the economy, real estate, sports, psychology, business, and education, and the list could and can go on. Resilience is mainly comprised or made of a number of different abilities and skills as a way to be able to relate effectively to others, build relationships, self-efficacy, optimism, and self-awareness, creating meaning from other experiences form these are essential combination of competencies. In this manner people should use this in order to optimize the value of the resilience of an organization. This becomes important resourcefulness knowledge of the help available to increasing capacity to deal with the challenges facing change, overcoming (wasting time) relative to everything that could be done alternatively.

Empathy plays an important role in social interactions, such an effective teaching-learning process in a teacher-student relationship, and company-client or employee-customer relationship to retain potential clients and provide them with greater satisfaction. Increasingly, people are using technology to support their interactions, especially when the interlocutors are geographically distant from one another. This has a negative impact on the empathic capacity of individuals. In the Computer Science, there are different approaches, techniques and mechanisms to promote empathy in social or human-computer interactions. Therefore, this article presents a systematic mapping to identify and systematize the approaches, techniques and mechanisms used in computing to promote empathy. As a result, we have identified existing approaches (e.g. collaborative learning environment, virtual and robotics agents, and collaborative/affective games) to promote empathy, the main areas involved (e.g. human-computer interaction, artificial intelligence, robotics, and collaborative systems), the top researchers and their affiliations who are potential contributors to future research and, finally, the growth status of this line of research.

In the field of Human Computer Interaction (HCI), we use a variety of Knowledge Elicitation (KE) techniques to capture user cognitive issues e.g. via interviews, paper prototyping, card sorting, focus group debates and more. MIKE (Mobile Interactive Knowledge Elicitation) is an ongoing research direction to enhance the KE capabilities of HCI practitioners via mobile and electronic methods. MIKE tools are a suite of Mobile HCI software and hardware configurations for a variety of mobile platforms. With MIKE's CONKER we describe a Collaborative Non-linear Knowledge Elicitation Repository for HCI practitioners. Its intention is to provide a scalable infrastructure for supporting the management and collaborative retrieval of mobile based KE datasets. Some of its functional design requirements include HCI practitioner profiles management, managing experimental progress from dispersed mobile HCI teams, timetabling expenditures for time critical empirical capture and participant management, and enabling concurrent HCI specialists to compare elicited mobile data. Further expansion of the CONKER system will include incorporation of distributed psychometric analysis methods. CONKER is realized as a sourceforge-alike Web-Portal using state-of-the-art web-framework technologies. We describe several approaches to the capturing and management of HCI data and how CONKER makes this available to the HCI community.

Automated assessment is well-established within computer science courses but largely absent from human – computer interaction courses. Automating the assessment of human – computer interaction (HCI) is challenging because the coursework tends not to be computational but rather highly creative, such as designing and implementing interactive prototypes. We meet this challenge by developing an automarker for HCI ‘MarCHIr’ to assess key aspects of web prototypes: visual design, interactivity and accessibility. MarCHIr automatically compiles web prototypes and analyses them at the pixel level to assess designs using foundational Gestalt visual principles. While computer science student assessments are often personalised with permutations of numbers, we use random assignment of colours to personalise creative prototype assignments at the scale of hundreds of students. Finally, MarCHIr integrates industry accessibility checks to HCI student assessment. We share 2 years of case study data across two cohorts of university students and reflect on implications for the use of automated assessment within HCI tertiary education.

With the rapid development of intelligent information technology, human–computer interaction for unmanned aerial vehicle (UAV) systems has gradually developed from single-mode interaction to multi-modal interaction. Due to the problems of information ambiguity and operational redundancy in multi-modal interaction, and the inability to effectively realize the coupling of human–computer interaction of different modalities, a priority strategy for multi-modal interaction for UAV systems is proposed. Living cells or tissues, whether in a static or active state, will produce regular electrical phenomena called bioelectricity. Human–computer interaction intention recognition technology based on bioelectrical signals can significantly enhance the real-time performance and flexibility of human–computer interaction and has great development potential. The characteristics of human–computer interaction intention recognition methods based on bioelectrical signals, such as electroencephalograms (EEGs), electromyograms (EMGs), electrooculograms (EOGs), and other conventional methods are introduced and analyzed, and then the basic characteristics of single-mode interaction and multi-modal interaction are compared. Furthermore, the priority strategies for UAV systems under different interaction modes are studied based on the analysis of task value evaluation parameters. The cumulative value, urgency, and task complexity are comprehensively analyzed and evaluated, and a set of priority strategies for multi-modal interaction is integrated. Through the simulation and verification of the multi-modal human–computer interaction software of the UAV system, it is determined that the proposed priority strategy conforms to the operation intention of the user, which improves the interaction efficiency and the reliability. In noisy environments, the UAV system control can be combined with the complementary information of various interaction methods to achieve precise control, which has obvious advantages.

The emphasis of human-computer interaction (HCI) design on the technology and computer action tends to obscure consideration of the contribution of the computer interface to the service interaction. This chapter suggests that since a majority of commercial information systems support or provide services, the nature and progression of the service encounter should be a key concern of human computer interface designers. The chapter proposes the concept of service-oriented HCI in which HCI design is derived from service design, dialog is driven by customer needs and perceptions, activities that have led up to the service encounter are considered, and the service interaction dialog is aligned with the computer dialog. As part of service-oriented HCI, the chapter illustrates the use of scripting to examine ex-post the role of a computer interaction in a service encounter. It demonstrates that the computer dialog can drive the service interaction in such a way that the quality of the interaction is reduced and customer satisfaction affected. It concludes that the role of the computer system in a service interaction is an area for further research. Furthermore, script analysis may enable the development of human-computer dialogs that meet some of the criteria of service-oriented HCI.

Fairness is a fundamental principle in human social interactions that influences subsequent behavioural decisions. As artificial intelligence (AI) becomes more prevalent, human-computer interactions have emerged as a new mode of social interaction. This study investigates the differences in fairness perceptions and their impact on trust decisions in human-human and human-AI contexts using a mixed experimental design of 2 (proposer identity: AI/human) × 2 (offer: fair/unfair) × 2 (trustee identity: AI/human). A total of 128 university students participated in the experimental study employing both the Ultimatum Game and the Trust Game paradigms. The results showed that participants who received fair offers had higher trust investment rates and amounts than those who received unfair offers. When offers were unfair, the AI proposer group elicited greater investment willingness, leading to higher trust investment rates than the human proposer group. Conversely, under fair conditions, participants displayed greater risk aversion towards human trustees, investing at lower rates and amounts than with AI trustees. The findings suggest that fairness perceptions in human-computer interactions have a stronger impact on trust decisions than those in human-human interactions.

Your place or mine: Shared sensory experiences elicit a remapping of peripersonal space

The illusion of having a tall or short body differently modulates interpersonal and peripersonal space

In this paper, a method-mix (cultural dimensions, intercultural variables, user interface characteristics and human computer interaction (HCI) dimensions) for intercultural user interface design (IUID) is presented. Based on a hybrid approach covering cultural contexts in human–computer interaction (HCI) design using a model of culturally influenced HCI, this IUID method-mix represents the main constituent of a reasonable toolbox for IUID. The IUID method-mix is exemplified by application examples to demonstrate and discuss its benefit and limitations. The examples elucidate why and how cultural aspects play a role in HCI design and usability/UX engineering. Cultural influence on HCI is described using cultural variables for user interface design. The IUID method-mix serves to inspire HCI engineers in the requirement analysis phase as well as HCI designers in the design phase. The readers are sensitized to the challenges of intercultural usability/UX engineering and intercultural HCI design and will be equipped with relevant methodological knowledge needed to actively derive design recommendations for user interface design for and in their desired cultural contexts. Practitioners can prognosticate the ensuing effort and the expenditure for considering cultural context in intercultural user interface design.