Facilitating Effective Exploratory Interaction: Design and Evaluation of Intelligent Support in MiGen

2010 ◽  
pp. 548-553 ◽  
Author(s):  
Manolis Mavrikis ◽  
Sergio Gutierrez-Santos ◽  
Eirini Geraniou
Keyword(s):  
Interaction Design ◽  
Intelligent Support

Usability evaluation of a mHealth application to support patient journey at pediatric emergency department (Preprint)

2020 ◽  
Author(s):  
Jessica Rochat ◽  
Frédéric Ehrler ◽  
Arnaud Ricci ◽  
Victor Garretas Ruiz ◽  
Christian Lovis
Keyword(s):  
Emergency Department ◽  
Interaction Design ◽  
Mobile Application ◽  
Pediatric Emergency ◽  
Pediatric Emergency Department ◽  
Patient Centered ◽  
Patient Journey ◽  
Care Processes ◽  
System Usability Scale ◽  
Centered Care

BACKGROUND Patient experience at pediatric emergency department (PED) remain suboptimal. As an attempt to support the patients and their families before, during and after visit at PED, we have developed InfoKids, a mobile application guided by the patient centered care principle. OBJECTIVE The objective of this study is to assess the usability of the Infokids mobile application. METHODS The app was assessed through an in lab evaluation were participants had to execute 7 tasks of a scenario leading them from the installation of the app till the reception of a diagnostic sheet linked to the care episode. All interactions were recorded and usability flaws were analyzed in regards with usability criteria. A system usability scale questionnaire was also filled by the participant to compare our system with other. RESULTS A total of 17 parents, 15 women and 2 men (ages 26-53) participated in the study. Overall, they were mostly satisfied with the navigation, layout and interaction design of the app. Most of the problems encountered were related with navigation, especially difficulties for some participants to find the location of the action to perform. CONCLUSIONS empowering patient through mobile application supporting care processes has the potential to improve both care efficiency and to release pressure on healthcare system. The success of these applications is however linked to an optimal user experience that can be improved through usability testing.

Introduction

2018 ◽  
Author(s):  
Xiaojun Bi ◽  
Andrew Howes ◽  
Per Ola Kristensson ◽  
Antti Oulasvirta ◽  
John Williamson
Keyword(s):  
Information Visualization ◽  
User Interfaces ◽  
Graphic Design ◽  
Interaction Design ◽  
Human Interaction ◽  
Learning Design ◽  
Human Factors Engineering ◽  
Interaction Techniques ◽  
Iterative Design ◽  
And Control

This chapter introduces the field of computational interaction, and explains its long tradition of research on human interaction with technology that applies to human factors engineering, cognitive modelling, artificial intelligence and machine learning, design optimization, formal methods, and control theory. It discusses how the book as a whole is part of an argument that, embedded in an iterative design process, computational interaction design has the potential to complement human strengths and provide a means to generate inspiring and elegant designs without refuting the part played by the complicated, and uncertain behaviour of humans. The chapters in this book manifest intellectual progress in the study of computational principles of interaction, demonstrated in diverse and challenging applications areas such as input methods, interaction techniques, graphical user interfaces, information retrieval, information visualization, and graphic design.

Interaction Design & Prototyping for Immersive Analytics

2019 ◽  
Author(s):  
Benjamin Bach ◽  
Maxime Cordeil ◽  
Ulrich Engelke ◽  
Barrett Ens ◽  
Marcos Serrano ◽  
...  
Keyword(s):  
Interaction Design

scholarly journals Tangibly understanding intangible complexities: Designing for distributed autonomous organizations

2019 ◽  
Vol 6 (1) ◽  
pp. 47-63 ◽  
Author(s):  
Bettina Nissen ◽  
Ella Tallyn ◽  
Kate Symons
Keyword(s):  
Distributed Systems ◽  
Interaction Design ◽  
Digital Technologies ◽  
Interactive Systems ◽  
Collaborative Practice ◽  
The Internet ◽  
The Face ◽  
Future Technologies ◽  
The Internet Of Things

Abstract New digital technologies such as Blockchain and smart contracting are rapidly changing the face of value exchange, and present new opportunities and challenges for designers. Designers and data specialists are at the forefront of exploring new ways of exchanging value, using Blockchain, cryptocurrencies, smart contracting and the direct exchanges between things made possible by the Internet of Things (Tallyn et al. 2018; Pschetz et al. 2019). For researchers and designers in areas of Human Computer Interaction (HCI) and Interaction Design to better understand and explore the implications of these emerging and future technologies as Distributed Autonomous Organisations (DAOs) we delivered a workshop at the ACM conference Designing Interactive Systems (DIS) in Edinburgh in 2017 (Nissen et al. 2017). The workshop aimed to use the lens of DAOs to introduce the principle that products and services may soon be owned and managed collectively and not by one person or authority, thus challenging traditional concepts of ownership and power. This workshop builds on established HCI research exploring the role of technology in financial interactions and designing for the rapidly changing world of technology and value exchange (Kaye et al. 2014; Malmborg et al. 2015; Millen et al. 2015; Vines et al. 2014). Beyond this, the HCI community has started to explore these technologies beyond issues of finance, money and collaborative practice, focusing on the implications of these emerging but rapidly ascending distributed systems in more applied contexts (Elsden et al. 2018a). By bringing together designers and researchers with different experiences and knowledge of distributed systems, the aim of this workshop was two-fold. First, to further understand, develop and critique these new forms of distributed power and ownership and second, to practically explore how to design interactive products and services that enable, challenge or disrupt existing and emerging models.

scholarly journals Human-Centered Artificial Intelligence for Designing Accessible Cultural Heritage

2021 ◽  
Vol 11 (2) ◽  
pp. 870
Author(s):  
Galena Pisoni ◽  
Natalia Díaz-Rodríguez ◽  
Hannie Gijlers ◽  
Linda Tonolli
Keyword(s):  
Artificial Intelligence ◽  
Literature Review ◽  
Cultural Heritage ◽  
Conceptual Framework ◽  
Interaction Design ◽  
Participatory Design ◽  
Future Directions ◽  
Heritage Sites ◽  
Review Analysis

This paper reviews the literature concerning technology used for creating and delivering accessible museum and cultural heritage sites experiences. It highlights the importance of the delivery suited for everyone from different areas of expertise, namely interaction design, pedagogical and participatory design, and it presents how recent and future artificial intelligence (AI) developments can be used for this aim, i.e.,improving and widening online and in situ accessibility. From the literature review analysis, we articulate a conceptual framework that incorporates key elements that constitute museum and cultural heritage online experiences and how these elements are related to each other. Concrete opportunities for future directions empirical research for accessibility of cultural heritage contents are suggested and further discussed.

scholarly journals Humble design for sustainable mobility

interactions ◽  
2021 ◽  
Vol 28 (2) ◽  
pp. 94-96
Author(s):  
Mia Hesselgren
Keyword(s):  
Interaction Design ◽  
Sustainable Mobility

In this forum we highlight innovative thought, design, and research in the area of interaction design and sustainability, illustrating the diversity of approaches across HCI communities. --- Roy Bendor, Editor

scholarly journals Multi-Agent System Observer: Intelligent Support for Engaged E-Learning

Electronics ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1370
Author(s):  
Igor Vuković ◽  
Kristijan Kuk ◽  
Petar Čisar ◽  
Miloš Banđur ◽  
Đoko Banđur ◽  
...  
Keyword(s):  
Machine Learning ◽  
Machine Learning Algorithms ◽  
Intelligent Support ◽  
Course Success ◽  
States Of Emergency ◽  
Learning Platform ◽  
Rapid Spread ◽  
E Learning ◽  
Multi Agent ◽  
Observer System

Moodle is a widely deployed distance learning platform that provides numerous opportunities to enhance the learning process. Moodle’s importance in maintaining the continuity of education in states of emergency and other circumstances has been particularly demonstrated in the context of the COVID-19 virus’ rapid spread. However, there is a problem with personalizing the learning and monitoring of students’ work. There is room for upgrading the system by applying data mining and different machine-learning methods. The multi-agent Observer system proposed in our paper supports students engaged in learning by monitoring their work and making suggestions based on the prediction of their final course success, using indicators of engagement and machine-learning algorithms. A novelty is that Observer collects data independently of the Moodle database, autonomously creates a training set, and learns from gathered data. Since the data are anonymized, researchers and lecturers can freely use them for purposes broader than that specified for Observer. The paper shows how the methodology, technologies, and techniques used in Observer provide an autonomous system of personalized assistance for students within Moodle platforms.

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