The role of trust within Human-Computer Interaction is being redefined. With the increasing omnipresence, autonomy, and opacity of technology, users often struggle to understand the capabilities and limitations of systems. In this article, we present the results of an empirical study designed to provide a practical, evidence-based interpretation of trust propensity assessment using the Human-Computer Trust Scale (HCTS). We outline the process used to develop a guideline for interpreting the instrument’s results and explain the rationale for our decisions, advocating for calibrating trust in technology within HCI. Our findings demonstrate that the HCTS is a promising tool for conducting an initial evaluation of propensity to trust, but that such an assessment requires reflection and interpretation that should be considered within the context of the interaction.

Travel in time is possible. We do it every day by recollecting past experiences, called episodic memories. Episodic memories, being a key in defining self-identity, are very sensitive, especially to the effects of aging and dementia. What are the ways to relive our experiences, to make them brighter? While much HCI work has been dedicated to developing memory aids, it has not looked into the direction of physicalizing episodic memory by means of vibration. We present a method to map past experiences to specific vibrotactile patterns. The method includes in-depth interviews, materialization, and co-design sessions. As a result, eight vibrotactile patterns were co-designed to represent four positive and four negative memory episodes. We finalize by reflecting on the process, commonalities in mappings, and future work. We hope our research insights will inspire novel methods and technologies to give tangible forms to memorable experiences.

Trust as a precursor for users' acceptance of artificial intelligence (AI) technologies that operate as a conceptual extension of humans (e.g., autonomous vehicles (AVs)) is highly influenced by users' risk perception amongst other factors. Prior studies that investigated the interplay between risk and trust perception recommended the development of real-time tools for monitoring cognitive states (e.g., trust). The primary objective of this study was to investigate a feature selection method that yields feature sets that can help develop a highly optimized and stable ensemble trust classifier model. The secondary objective of this study was to investigate how varying levels of risk perception influence users' trust and overall reliance on technology. A within-subject four-condition experiment was implemented with an AV driving game. This experiment involved 25 participants, and their electroencephalogram, electrodermal activity, and facial electromyogram psychophysiological signals were acquired. We applied wrapper, filter, and hybrid feature selection methods on the 82 features extracted from the psychophysiological signals. We trained and tested five voting-based ensemble trust classifier models using training and testing datasets containing only the features identified by the feature selection methods. The results indicate the superiority of the hybrid feature selection method over other methods in terms of model performance. In addition, the self-reported trust measurement and overall reliance of participants on the technology (AV) measured with joystick movements throughout the game reveals that a reduction in risk results in an increase in trust and overall reliance on technology.

This study investigates how risk influences users' trust before and after interactions with technologies such as autonomous vehicles (AVs'). Also, the psychophysiological correlates of users' trust from users” eletrodermal activity responses. Eighteen (18) carefully selected participants embark on a hypothetical trip playing an autonomous vehicle driving game. In order to stay safe, throughout the drive experience under four risk conditions (very high risk, high risk, low risk and no risk) that are based on automotive safety and integrity levels (ASIL D, C, B, A), participants exhibit either high or low trust by evaluating the AVs' to be highly or less trustworthy and consequently relying on the Artificial intelligence or the joystick to control the vehicle. The result of the experiment shows that there is significant increase in users' trust and user's delegation of controls to AVs' as risk decreases and vice-versa. In addition, there was a significant difference between user's initial trust before and after interacting with AVs' under varying risk conditions. Finally, there was a significant correlation in users' psychophysiological responses (electrodermal activity) when exhibiting higher and lower trust levels towards AVs'. The implications of these results and future research opportunities are discussed.

New technologies, data, and algorithms impact nearly every aspect of daily life. Unfortunately, many of these algorithms operate like black boxes and cannot explain their results even to their programmers, let alone to end-users. As more and more tasks get delegated to such intelligent systems and the nature of user interactions with them becomes increasingly complex, it is important to understand the amount of trust that a user is willing to place on such systems. However, attempts at quantifying trust have either been limited in their scope or not empirically thorough. To address this, we build on prior work which empirically modelled trust in user-technology interactions and describe the development and evolution of a human computer trust scale. We present results of two studies (N=118 & N=183) which were undertaken to assess the reliability and validity of the proposed scale. Our study contributes to the literature by (a) developing a multi-dimensional scale to assess user trust in HCI and (b) being the first study to use the concept of design fiction and future scenarios to study trust.

Human–computer interaction (HCI) practice has emerged as a research domain in the HCI field and is growing. The need to transfer HCI practices to the industry began significantly with the works of Nielsen on usability engineering. To date, methods and techniques for designing, evaluating, and implementing interactive systems for human use have continued to emerge. It is, therefore, justified to conduct a systematic mapping study to determine the landscape of HCI practice research. A Systematic Mapping Study method was used to map 142 studies according to research type, topic, and contribution. These were then analyzed to determine an overview of HCI practice research. The objective was to analyze studies on HCI practice and present prominent issues that characterize the HCI practice research landscape. Second, to identify pressing challenges regarding HCI practices in software/systems development companies. The results show that HCI practice research has steadily increased since 2012. The majority of the studies explored focused on evaluation research that largely contributed to the evaluation methods or processes. Most of the studies were on design tools and techniques, design methods and contexts, design work and organizational culture, and collaboration and team communication. Interviews, case studies, and survey methods have been prominently used as research methods. HCI techniques are mostly used during the initial phase of development and during evaluation. HCI practice challenges in companies are mostly process-related and on performance of usability and user experience activities. The major challenge seems to be to find a way to collect and incorporate user feedback in a timely manner, especially in agile processes. There are areas identified in this study as needing more research.

Fusion multidisciplinary subjects in order to present a unique and complementary perspective may enhance and extend the knowledge acquisition, and consequently, the student experience. In this paper we report a case study on methodology, which interlinks various subjects creating and engaging learning process by combining Science, Technology, Engineering and Mathematics (STEM) and Design. In line with this, an Experimental Interaction Design summer course was designed and implemented based on a multi-cultural, defiant and creative environment in order to provide an effective learning on solving the real-world challenges. Twelve students were involved in this initiative, which resulted in the development of several projects such as a pets' tracking and behavior analysis, a smart home for elderlies, and a medication reminder device, in which design, prototyping, usability evaluation and programming concepts were combined. In this report, we focus on the study design with the aim to provide scaffolding for multidisciplinary teams of students in design-based projects that require STEM competences.

It is commonly believed that human-centred design (HCD) approach is very beneficial to interactive systems development. However, not much is known about the state of HCD practice in developing countries, especially the sub-Saharan Africa. This paper explores the state of HCD practice in three Nigerian software companies. We used the interview technique to explore two key issues. First, the perception of humans as a component of sociotechnical systems, and second, how HCD process is being approached in software companies. A cross-case analysis of the three companies was performed and the usability maturity model-human-centredness scale was used to determine the state of maturity of the three companies. The outcomes of this study reveal that HCD practice is currently at the least stage of maturity in the three companies and user involvement is not practiced in the right manner. The outcomes of the study suggest the need for reflective HCD practice and localizing human–computer interaction approaches to contexts.

Experiential attributes are a possible way of explaining user's experiences during interaction.Recently presented set of 23 aesthetic categories of interaction was established with a purpose to explain users' aesthetic experiences.This recent work focused on touch devices, such as smartphones and tablets, and concluded with the need to study further the goodness of established categories.The study, reported in this paper, continues to explore the consistency and aesthetic relations of these categories by comparing their goodness in explaining aesthetic perceptions on different devices: a smartphone and a laptop computer.Experimental research design with 2x2 conditions was used.Two of the conditions consisted of completing the same interaction episode on two different devices.The other two conditions consisted of passive watching the screen recordings of previous interactions on the same two devices.In conclusion, the aesthetic categories of interaction were found capable of explaining users perceptions across devices, but further study was suggested.

In this paper, we have reviewed different types of medical records like the Paper Based Medical Record, Electronic Medical Records, Electronic Health Records, and Personal Health Records. Also, we have examined a process of medical records in Afghanistan private and public hospitals. On that base we have discussed the opportunities for developing of electronic health records system in Afghanistan.

With almost four decades of existence as a community, human–computer interaction (HCI) practice has yet to diffuse into a large range of software industries globally. A review of existing literature suggests that the diffusion of HCI practices in software organizations lacks theoretical guidance. Although many studies have tried to facilitate HCI uptake by the software industry, there are scarce studies that consider HCI practices as innovations that software organizations could or should adopt. Furthermore, there appears to be a lack of structure in the facilitation of HCI methodological development within the specialized emerging regions field such as Sub-Saharan Africa. In order to address this gap, an exploratory investigation regarding the state of uptake of HCI practices in Nigeria is conducted. The aim of this article is to improve our understanding regarding the state of HCI uptake in developing countries and the challenges prevailing. The findings show that HCI practice still remains within its infancy stage in most software companies. Universities are also lacking the required knowledge transfer of HCI to the students, and in effect themselves contributing to the lack of HCI skills in industry. Furthermore, government policies are in need of refinement and end-users’ involvement in software development is not prioritized.

Developing countries face serious problems on building and using digital libraries (DL) due to low computer and Internet penetration rates, lack of financial resources, etc. Thus, since mobile phones are much more used than computers in these countries, they might be a good alternative for accessing DL. Moreover, in the developed world there has been an exponential growth on the usage of mobile phones for data traffic, establishing a good ground for accessing DL on mobile devices. This paper presents a design proposal for making DSpace-based digital libraries accessible on mobile phones. Since DSpace is a popular free and open source DL system used around the world, making it accessible through mobile devices might contribute for improving the global accessibility of scientific and academic publications.

This paper describes LePress, a WordPress plug-in that enhances blog-based personal learning environment (PLE) with features and semantics that facilitate planning, implementation, and analysis of learning flows. The paper introduces learning flows in LePress, and then explains learning semantics the LePress supports. In order to demonstrate the advantages of LePress for learning analytics, we describe how it can facilitate explicit data collection and analysis of learning activities in blog-based PLEs. In order to demonstrate the advantages of LePress for learning analytics, we describe how it can facilitate explicit data collection and analysis of learning activities in blog-based PLEs.

This paper describes an attempt to explore possible interrelations between today's online communities, trust and their online social patterns. It reports on a study in progress to provide a deeper understanding of how and at what level such relations affect the development of learning social contexts, i.e contexts that represent individuals needs, group commitments, their responsibilities, goals and loyalties towards the need to progress, to bound and gain knowledge or become skilled. The paper starts by discussing this study's rational, and proceeds on discussing alternative ways of depicting and understanding how our attitudes regarding online relationships can be related with trust. It terminates with a briefly presentation and discussion of the early results the ongoing work.