Human-Machine Trust Interaction

2010 ◽  
Vol 1 (4) ◽  
pp. 61-74 ◽  
Author(s):  
Conghui Liu
Keyword(s):  
Electronic Commerce ◽  
Intelligent System ◽  
Fast Growth ◽  
Human Machine Interaction ◽  
Current State ◽  
Main Factors ◽  
Machine Systems ◽  
Machine Interaction

Improving user’s trust appropriately could help in designing an intelligent system and make it work effectively, especially with the fast growth of Web-base technology. This chapter introduces the solutions of improving user’s trust in human-machine interaction (HMI), especially for electronic commerce (e-commerce). The author firstly reviews the concept of trust and the main factors that affects the appropriateness of user’s trust in human-machine interaction, such as the properties of machine systems, the properties of human, and context. On the basis of these, the author further discusses the current state, challenges, problems and limitations of establishing and improving the user’s trust in human-machine interaction. Finally, the author summarizes and evaluates the existing solutions for improving the user’s trust appropriately in e-commerce environment.

Human-Machine Trust Interaction

2010 ◽  
pp. 471-486
Author(s):  
Conghui Liu
Keyword(s):  
Electronic Commerce ◽  
Intelligent System ◽  
Fast Growth ◽  
Human Machine Interaction ◽  
Current State ◽  
Main Factors ◽  
Machine Systems ◽  
Machine Interaction

Improving user’s trust appropriately could help in designing an intelligent system and make it work effectively, especially with the fast growth of Web-base technology. This chapter introduces the solutions of improving user’s trust in human-machine interaction (HMI), especially for electronic commerce (e-commerce). The author firstly reviews the concept of trust and the main factors that affects the appropriateness of user’s trust in human-machine interaction, such as the properties of machine systems, the properties of human, and context. On the basis of these, the author further discusses the current state, challenges, problems and limitations of establishing and improving the user’s trust in human-machine interaction. Finally, the author summarizes and evaluates the existing solutions for improving the user’s trust appropriately in e-commerce environment.

Engineering of a Virtual Community Platform

2004 ◽  
pp. 1-27
Author(s):  
Kerstin Rose ◽  
Leon Urbas ◽  
Alexander Kunzer ◽  
Martin Christof Kindsmuller ◽  
Sandro Leuchter
Keyword(s):  
Interaction Design ◽  
Information Exchange ◽  
Virtual Community ◽  
Distributed Teams ◽  
Online Journal ◽  
Human Machine Interaction ◽  
Internet Portal ◽  
Shared Workspaces ◽  
Machine Systems ◽  
Machine Interaction

UseWorld.net is a federated user adaptive Internet portal that supports information exchange and cooperation in research and development in the area of human machine interaction. It has been jointly developed with members of Center of Human-Machine-Systems (ZMMS, TU Berlin), Chair of Industrial Engineering and Ergonomics (RWTH Aachen), Chair for Industrial Design (University of Essen) and Center for Human-Machine-Interaction (ZMMI, University of Kaiserslautern). The portal is operated by an independent open incorporated society. It integrates manifold information services (online journal, different thematic link collections, conference database, expert database) and a sophisticated cooperation component to support distributed teams by providing shared workspaces. Software agents for community awareness tasks and a clean and consistent interaction design complete the solution and support the portal’s innovative operation concept, which intends to activate the users to become editors.

scholarly journals An Intelligent Adaptive cMOOC “IACM” for Improving Learner’s Engagement

2021 ◽  
Vol 16 (13) ◽  
pp. 82
Author(s):  
Soumaya El Emrani ◽  
Ali El Merzouqi ◽  
Mohamed Khaldi
Keyword(s):  
Learning Styles ◽  
Statistical Data ◽  
Intelligent System ◽  
Online Course ◽  
Human Machine Interaction ◽  
Massive Open Online Course ◽  
Regression Algorithms ◽  
Massive Number ◽  
Machine Interaction ◽  
Very High

Despite the massive number of enrollments in MOOC (Massive Open Online Course) platforms, dropout rates are very high. This problem can be due to several factors: Social, pedagogical, prior knowledge as well as a demotivation. To deal with this type of problems, we have designed an adaptive cMOOC (Connectivist MOOC) platform for each registered learner’s profile. From the first human-machine interaction, the process adapts the learner's need according to a pre-established model. It is based on the processing of statistical data collected by correspondence analysis and regression algorithms. Each generated learner’s profile will provide an adaptive navigation and pedagogical activities. The intelligent system presented in this work will be able to classify learners according to their preferences and learning styles.

The Finite Intersection Test: A New Multivariate Statistical Technique Applicable to the Evaluation of Complex Systems

1980 ◽  
Vol 24 (1) ◽  
pp. 453-457 ◽  
Author(s):  
John M. Reising ◽  
P.R. Krishnaiah
Keyword(s):  
Statistical Technique ◽  
System Evaluation ◽  
Finite Intersection ◽  
Multivariate Statistical ◽  
Human Machine Interaction ◽  
Single Measure ◽  
Simultaneous Comparison ◽  
Machine Systems ◽  
Machine Interaction ◽  
Intersection Test

In complex human-machine systems, multidimensional behavior is required of the operator. Consequently, there is no commonly-accepted, single measure of operator performance which can be utilized to determine the efficiency of the human-machine interaction. Because the behavior is multidimensional, multivariate statistics must be used to analyze the multiple measures gathered during system evaluation. While multivariate analogues to analysis of variance (ANOVA) exist, there are also a number of candidate multivariate analogues to the post-ANOVA simultaneous comparison tests. This paper describes a newly developed multivariate, simultaneous comparison test–Finite Intersection Test (FIT)–and provides an example of FIT's application to the analysis of multivariate data.

Tomorrow’s Human–Machine Design Tools: From Levels of Automation to Interdependencies

2017 ◽  
Vol 12 (1) ◽  
pp. 77-82 ◽  
Author(s):  
Matthew Johnson ◽  
Jeffrey M. Bradshaw ◽  
Paul J. Feltovich
Keyword(s):  
Sociotechnical Systems ◽  
Viable Alternative ◽  
Machine Design ◽  
Design Tools ◽  
Human Machine Interaction ◽  
Intelligent Machines ◽  
Levels Of Automation ◽  
Machine Systems ◽  
Machine Interaction

The growth of sophistication in machine capabilities must go hand in hand with growth of sophistication in human–machine interaction capabilities. To continue advancement as we build today’s intelligent machines, designers need formative tools for creating sociotechnical systems. In this article, we will briefly assess the appropriateness of “levels of automation” as a tool for designing human–machine systems. Additionally, we present coactive design and interdependence analysis as a viable alternative tool moving forward into more advanced and sophisticated human–machine systems.

Unsettled Issues in Vehicle Autonomy, Artificial Intelligence, and Human-Machine Interaction

2021 ◽  
Author(s):  
Chen Fang ◽  
Keyword(s):  
Artificial Intelligence ◽  
Interface Design ◽  
Autonomous Vehicles ◽  
Emotion Detection ◽  
Human Machine Interaction ◽  
Daily Lives ◽  
Current State ◽  
Speech Interaction ◽  
State Of Research ◽  
Machine Interaction

Artificial intelligence (AI)-based solutions are slowly making their way into our daily lives, integrating with our processes to enhance our lifestyles. This is major a technological component regarding the development of autonomous vehicles (AVs). However, as of today, no existing, consumer ready AV design has reached SAE Level 5 automation or fully integrates with the driver. Unsettled Issues in Vehicle Autonomy, AI and Human-Machine Interaction discusses vital issues related to AV interface design, diving into speech interaction, emotion detection and regulation, and driver trust. For each of these aspects, the report presents the current state of research and development, challenges, and solutions worth exploring.

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