Conference on IT in Asia 2019
Keynote Speaker

  

Invited Speakers

 

Dr. Mazlan Abbas
CEO - FAVORIOT

Where Are We in the Industrial Revolution?

In reality, we are in a very confusing Era. At one end, we have the vision and wish to move towards the Fourth Industrial Revolution but in actual fact, we are still in a mixed era of IR1.0, IR 2.0, IR3.0 and IR 4.0.

There’s a difference between the word “Revolution” and “Evolution”. Revolution is about transformational change and evolutionary is incremental change. These two have a different set of a thinking process. Are we ready to embrace? What are the challenges and how we can overcome them?


 

Halimahtun M. Khalid
Damai Sciences, Malaysia

Dr Halimahtun M. Khalid is President of Damai Sciences, Malaysia. She obtained her Ph.D. in cognitive ergonomics from University College London, UK. She has 35 years of knowledge and experience in human factors engineering, ergonomics and human-computer interaction. She was Professor of Cognitive Ergonomics at Universiti Malaysia Sarawak (UNIMAS) from 1993-2003. At UNIMAS, she established the Institute of Design & Ergonomics Application, the Centre for Applied Learning & Multimedia, and the first Virtual Reality Centre. She has delivered several keynotes and has more than 100 publications in refereed journals and proceedings. She received research grants from the European Commission and US Air Force for projects related to mass customization, cultural cognition, disaster attitudes, and human-robotic trust.

Dr. Khalid is Past Chair of the Science Technology & Practice Committee of the International Ergonomics Association (IEA), and Past Chair of the Affective Design Technical Committee of the IEA. She is a Certified Human Factors Professional with BCPE USA, and a Fellow of the International Ergonomics Association. She is the Founder and Past President of the Human Factors and Ergonomics Society Malaysia, and Past President of the Southeast Asian Network of Ergonomics Societies.

Humanizing Robots for Human-Robot Teaming in Social Tasks

The future will see increased collaboration between humans and robots in various work domains in order to perform social tasks. Future robotic systems are intended to team with humans to accomplish
operational goals, which raises several challenges in designing for human-robot interaction. This includes the challenge of understanding behavioural, cognitive and neural mechanisms as well as antecedents of trust in human-robot interaction. 

For robots to interact well with humans and be good team players, they need to exhibit humanlike
characteristics. The humanization of robots has contributed to the successful adoption of robots into our society. However, there are also drawbacks which have received much less attention. We will highlight the problems with humanizing robots and the challenges of research on trust. Setting the scene, we will trace backwards a decade of research into human-robot trust.

Trust is key in the development of effective human-robot relationships. Trust affects system
effectiveness as it relates to safety, performance, and usability. With the integration of humanoid robots in human teams, the issue of measuring and predicting trust becomes a focal concern. Instead of looking at the trust issue as an isolated process between a human and a robot, we take a human-system integration perspective by examining trust in a team-oriented setting.

A critical skill that humanoid robots must have is the ability to interact using natural language in
dialogs. Designing a dialog that represents a use case scenario is a challenge. However, more challenging is the measurement of trust. Several determinants influence trust, namely: human, robot, social and contextual factors. Reliable measurement of trust requires a combination of psychological and physiological criteria that enable prediction of trust in a multi-agent and multi-dialog context. This keynote focuses on factors that influence human trust of robotic systems and solutions toward humanizing robotsfor human-robot teaming based on recent findings from our research.