Research activities

RECCSI macro and micro perspectives

RECCSI Macro Perspectives Flowchart RECCSI Macro Perspectives Flowchart
(Left) Macro perspective - Communities of practice (CoPs) centred organisational innovation
(Right) Macro perspective - ICT based emotionally intelligent communication 


Macro Perspective - Cops Centred Knowledge flow networks

We live in a globalised world today. Organisations of the future will engage in open innovation to strengthen intellectual creativity. Organisations will pursue   knowledge and wisdom  through Communities of Practice (CoPs) and knowledge flow networks. CoPs and knowledge flow networks will exist without organisation boundaries

Macro Perspective - Emotionally Intelligent ICT

Information and Communication Technologies (ICT) form an integral part of our lives today. With the rapidly changing social structures and life styles, 21st century will see a shift in design of ICTs from convenience to social innovation in response to changing social needs of people and their lifestyles. Emotionally intelligent ICTs will enhance people to people communication and  humanise technology in a range of areas to facilitate well being, mutual understanding and sustainability of human society.

(Below) Micro perspective - research directions 

RECCSI research flowchart - micro perspective research directions


View a high-resolution image of the macro and micro perpective flowcharts [PDF 193KB]

Research areas

The multi-disciplinary design and development of emotionally intelligent systems includes the following research areas:

  • Human Resource Management and E-Marketing
  • Behavioural Science
  • Health and aged care
  • E-Tourism
  • Ubiquitous Computing
  • Social Informatics
  • Communication Robotics
  • Industrial Design

Ongoing research projects

Health and aged care

Research activities - healthcareThe first of RECCSI’s futuristic progeny will be two emotionally intelligent health care robots developed jointly by Professor Khosla and his team of researchers at La Trobe and a team of researchers at NEC Japan led by Dr. Keiji Yamada, General Manager, of NEC Computer & Communications Innovation Research Laboratories (CCIL). 

The two health care robots that are being developed are:

1) Emotionally intelligent health care robot for pre and post-operative care

Designed especially to assist senior citizens, these nurse robots will assist nursing staff in hospitals to provide personalized care to patients in pre and post-operative stage of their surgery / operation .It will also assist carers of children with mental health or development disorders.

2) Emotionally intelligent persuasive dialogue systems for health promotion

This project involves the design and development of emotionally intelligent robots that will communicate persuasively with elderly, disabled and nudge them to change from their health related habits in a range of scenarios e.g. diet, smoking and alcohol etc.

Human Resource Management

Emotionally cohesive and culturally fit research teams for organisational innovation

Research activities - healthcareThis project looks at psychological push and pull factors which influence and impact on group innovation. A simulation method modelling the psychological push and pull factors involving interplay between emotional intelligence and organisational culture will be designed and implemented.

Emotionally intelligent recruitment and benchmarking

This emotionally intelligent system will assist human resource managers to recruit and benchmark new staff based on their emotional and cultural behaviour profiles.

Tourism and travel

Emotionally intelligent applications in tourism and sight-seeing

Research activities - healthcareThis project involves two parts. Firstly, a web based emotionally intelligent system for holiday destination planning is being developed based on eye-gaze tracking and facial expression analysis. Secondly, the design of emotionally intelligent robot is being investigated which will have an ability to engage a perspective traveller and sight-seer in an emotionally intelligent persuasive dialog for sight-seeing.  

Road safety

Companion “drivers”

Research activities - healthcareNon-verbal data will be used to detect dozing and tired drivers. The system will be developed to monitor driver fatigue and help reduce road fatalities.



Emotionally intelligent learning systems for children with autism

Research activities - healthcareEmotion and non-verbal communication form an important component of research in Autism. A range of projects are being jointly undertaken with researchers at the Olga Tennison Autism Research Centre to study, model and design emotionally intelligent learning systems for children with autism. 

Critical event management

Emotionally intelligent critical event management systems

Research activities - healthcareCritical events like bush fires, power black outs test the ability of emergency operators to operate under extreme stress. This project would study and model the emotional stability of operators and teams in critical event management. 

Knowledge management and business intelligence

Emotionally intelligent knowledge management

Research activities - healthcareMost existing research involving ICT’s does not factor non-verbal data like facial expressions, eye-gaze, gestures with other kinds of data (e.g. keyboard inputs) for business intelligence, information personalization, decision making and knowledge management. Research in this area will study and model the correlation between non-verbal data and other kinds of data for business intelligence and knowledge management. 

CoPs centred knowledge flow networks and social agent systems

Research activities - Communities of Practice (CoPs)It is envisaged that the organisations of the future will be a set of knowledge flow networks without conventional organisational boundaries. This project adopts a communities of practice centred approach for the design of knowledge flow networks with embedded intelligent social agents. 


Emotionally intelligent e-learning systems

Research activities - healthcareThe research in this area will primarily focus on design of e-learning systems. Among other aspects, the research will look at the how non-verbal data like gestures, eye-gaze and facial expressions can be used to improve the quality of delivery and content in an e-learning scenario. 


Emotionally intelligent crime investigation

Research activities - healthcareResearch in this area looks at integration of non-verbal communication with other data like audio and text files of a suspect for supporting criminal investigations.