Rajiv Khosla - Academia.edu (original) (raw)
Papers by Rajiv Khosla
This paper evaluates the use of Enterprise Resource Planning (ERP) system in a tertiary education... more This paper evaluates the use of Enterprise Resource Planning (ERP) system in a tertiary education institution in Australia and the implementation of the human-centered on the ERP system. The objective of the paper is to learn and measure a hierarchical influence of five human-centered dimensions on user satisfaction both directly and indirectly. This paper attempts to provide answers to whether the human-centered measurement models provide a systematic evaluation of ERP. The contributions of the paper to knowledge are to establish the need for the human-centered approach as a basis for the design of ERP systems, to define a systematic hierarchical human-centered model for measurement, in particular, and accounting information systems, in general, and to develop methodology for validation of the measurement model and applies it to evaluation of ERP systems. This paper suggests the application of a proposed five dimensional model in measuring the human-centeredness of ERP systems usin...
Journal of Japan Society for Fuzzy Theory and Intelligent Informatics, 2003
IHilllllHlllllilllM k fi11111[11HlllllllllllH.A.rerp,bitXfA Human-CenteredlntelligentSystems Raji... more IHilllllHlllllilllM k fi11111[11HlllllllllllH.A.rerp,bitXfA Human-CenteredlntelligentSystems RajivKHOSLA* The transition of intelligent systems frorn laboratories to real world in the last decade has created a need for humanization of intelligent systems. In this paper we outline human-centered framework fer development of intelligent systems, A distributed multi-layered multi-agent architecture is one of the four components of the framework. We describe in this paper that how the multi-layered architecture facilitates human-centered modelling of intelligent systems from multiple perspectives. The framework and the distributed multi-layered multi-agent ontology has been applied in a range areas including alarm processing, web mining, image processing, sales recruitment ancl medical diagnosis.
HCI in Business, Government, and Organizations: Information Systems, 2016
The well-executed recruitment and retention of employees in organisations in a highly competitive... more The well-executed recruitment and retention of employees in organisations in a highly competitive global market has grown significantly in the last decade. The need for managers to be emotionally intelligent for better management and productivity to deal with employees from generation Y and Z is also in great demand. In this paper we presents a framework which embodies human computer interaction techniques like facial emotion recognition, speech recognition and synthesis in socially assistive robot with human-like communication modalities to capture, analyse, profile and benchmark verbal and non-verbal data during a real-time job interview for hiring salespersons. This research fundamentally changes how employers can leverage the data analysis to seek for the best job applicant and how they perceive the use of human computer interaction (HCI) techniques and information technology in human resource management practice. Existing approaches for recruitment primarily rely on selection criteria and/or psychometric techniques followed by face to face interviews by subjective judgements of human beings. For example, the high turnover of salespersons in the industry has shown limited success of these procedures. Additionally, existing approaches lack benchmarking analysis internally by comparing the profile of most cultural fit employees. Thus, this research incorporates behavioural psychology, data mining, image processing, HCI modelling and techniques to provide a more holistic recruitment application using emotionally aware social robot. The implications of this research not only apply into the hiring and benchmarking of employees, but also collecting big data (verbal and non-verbal) for decision-making, personalised profiling and training.
Lecture Notes in Computer Science, 2003
Personal identification provides are important means for realizing a man-machine interface and se... more Personal identification provides are important means for realizing a man-machine interface and security products. Recently in the world, many researches for individual identification method using the face are widely done. In the personal identification methods using the face, the feature points method and the pattern matching method are general technology. However, condition of lighting affects recognition accuracy in many cases.
Lecture Notes in Computer Science, 2003
A problem for the illegal copy of the digital image, which overflows on WWW, and the copyright pr... more A problem for the illegal copy of the digital image, which overflows on WWW, and the copyright protection of the image information becomes serious. Electronic watermark technology is being watched as that strong countermeasure. However, there is a problem that the problem that quality of output deteriorates, and the codes put inside are analyzed. In this paper, a neuro-color compression
Pattern Recognition, 2008
Currently, TV programs are evaluated by using questionnaires given after previews or by using TV ... more Currently, TV programs are evaluated by using questionnaires given after previews or by using TV ratings. There are few objective criteria useful for describing technical know-how about program production. One of the TV program producers' concerns is how to choose expression methods that convey their ideas to viewers correctly and efficiently. Research has shown that eye-gaze direction is related to the human focus and attention. Gaze-based evaluations have been proposed for image-quality evaluations and certain usability tests. Such approaches are mainly based on how often a specific region attracted the subjects' gaze or how long their gaze was fixed on it. To apply these approaches to TV programs, all the object regions that seem to attract a viewer's gaze need to be specified in advance. This causes several problems including the accuracy of specifying the region by using an image processing technique is not equal to the human subject's recognition ability and it is not feasible to manually specify such regions in an enormous number of frames (images) comprising the program. Further, how characteristics of well-produced TV programs appear on the viewer's gaze has not been objectively analyzed yet. There is a need to investigate the relationship between gaze and program contents which can be used as means for improving comprehension and quality of the TV programs. In this paper, we propose a new measurement and evaluating method for this purpose. This paper focuses on the relationship between a viewer's comprehension of a program and their gaze direction in a real experimental TV educational program involving 26 elementary school children and broadcast by NHK Broadcasting Corporation of Japan. Correlation between TV program comprehension and entropy is investigated. That is, variances in the gaze direction in relation to program comprehension are based on a entropy value that represents the degree of dispersion in each frame and is calculated from a probability density function estimated from the gaze directions. The results indicate that the variances of the gaze direction for scenes that gave better comprehension tended to be lower. This tendency was further noticeable after a keyword utterance were related to the answers of corresponding questions.
2010 11th IEEE International Workshop on Advanced Motion Control (AMC), 2010
The purpose of this paper is to obtain the object. In particular, we focus on the face detection.... more The purpose of this paper is to obtain the object. In particular, we focus on the face detection. By using the proposed method, we recognize faces with a near-infrared (NIR) camera. The face detection that used images from the NIR camera is comparatively difficult to be done, because they are gray scale images. In this paper, the filter by using the GA is designed for the purpose of getting the faces. The method of detecting faces and the position from the NIR images is proposed in the on-line image. It is demonstrated that our approach is effective for vehicle driver monitoring. Finally, it was confirmed that the proposed method works well.
2009 11th IEEE International Symposium on Multimedia, 2009
International Journal of Strategic Information Technology and Applications, 2014
As the organizational memory in terms of collective knowledge evolves, how to construct an effect... more As the organizational memory in terms of collective knowledge evolves, how to construct an effective knowledge sharing mechanism to covert individual knowledge into collective knowledge becomes fairly demanding. CoPs approach is widely accepted as effective mechanism to facilitate knowledge sharing. Knowledge nodes in the context of knowledge flow, unlike workflow, can often transcend organizational boundaries and are distinct and different than workflow models. This paper aims to develop, implement, and analyze a CoPs Centered knowledge flow model in a multinational organization. This model is underpinned in a CoPs framework built around four expected performance including four dimensions and sixteen criteria as a comprehensive mechanism to intensify knowledge sharing effect. Next, this study clusters knowledge workers/nodes with common criteria (attitudes and beliefs) towards this model. These common attitudes and beliefs between two knowledge workers/nodes imply that knowledge sh...
Journal of Intelligent Manufacturing, 2010
Existing research in intelligent manufacturing literature has highlighted the need for linking or... more Existing research in intelligent manufacturing literature has highlighted the need for linking organizational culture, business strategy with Knowledge Management (KM) as well as measuring the performance of knowledge management systems for best practice. Communities of Practice (CoPs) are accepted as best practice and distinct from organizational structures while implementing KM. Besides, employing CoPs as an approach for linking business strategies with KM design, CoPs can be the prevailing way for group learning and innovation building within firms. As firms grow in size, scope, and complexity, CoPs members who regularly engage in sharing and learning based on common interests, could improve organizational performance. The purpose of this work is to design a CoPs model for KM which addresses issues related to organization culture, business strategy and performance measurement reported in earlier publications in intelligent manufacturing. A CoPs evaluation hierarchy for KM is developed. It includes four dimensions and sixteen criteria for studying and evaluating organizational culture and business strategy. Fuzzy Multi-Criteria Decision Making (MCDM) approach has been employed to quantitatively analyze various criteria priorities and business strategy preferences of CoPs. In order to validate the CoPs model, a case study has been undertaken in two multinational knowledge based organizations and the results are compared
International Journal of Human-Computer Interaction, 2014
Managing Knowledge for Global and Collaborative Innovations, 2009
Abstract Business process management (BPM) is a common approach used in dynamic and complicated e... more Abstract Business process management (BPM) is a common approach used in dynamic and complicated environment throughout the organizations' operation. Knowledge Flow Networks (KFN) and Communities of Practice (CoPs), especially that resulting from innovation needs, is regarded as a BPM issue. It involves both personal and organizational aspects, and is an iteration of the transmission between explicit and tacit knowledge. We discuss business process management in the context of Knowledge Management (KM) ...
Rajiv Khosla is an Associate Professor at School of Business, La Trobe University. He is the dire... more Rajiv Khosla is an Associate Professor at School of Business, La Trobe University. He is the director of externally funded Business Intelligence Institute-Business Systems and Knowledge Modelling research laboratory. Rajiv has a multi-disciplinary background in management, engineering and computer science. He has published over 120 refereed journal and conference papers. He has also authored four books (research monographs) in the area of Emotional Intelligence, Human-Centred e-Business, Multimedia based Socio-technical Information systems, Intelligent Hybrid Multi-agent Systems. Rajiv is the Associate editor of the International Journal of Pattern Recognition, Regional editor of Journal of Intelligent Manufacturing (Springer-verlag), and Action Editor of Journal of Cognitive Systems Research. He has been a project leader of over a dozen industry projects and has commercialised four IT products in Australia. Associate Professor Rajiv Khosla Business Intelligence Institute and Busine...
Model updating, as a new concept to be employed as a standard and universal method for system mod... more Model updating, as a new concept to be employed as a standard and universal method for system modification, has been started in and further developed in this paper. This paper introduces algorithms for Computation Tree Logic (CTL) model update. The algorithms correct errors in a CTL Kripke model to make this model satisfy its various required properties. These update algorithms are designed through pseudo-code, which details the logic of the algorithms. The microwave oven example in has been correctly treated by the pseudo-code, which demonstrates the feasibility of these algorithms. The algorithms and their pseudo-code are the foundations for later implementation of a CTL model updater and integration of a CTL model checker and this updater
Communicatio, 2016
In view of the shortage of healthcare workers and a growing aging population, it is worthwhile to... more In view of the shortage of healthcare workers and a growing aging population, it is worthwhile to explore the applicability of new technologies in improving the quality of healthcare and reducing its cost. However, it remains a challenge to deploy such technologies in environments where individuals have limited knowledge about how to use them. Thus, this paper explores how the social robots designed for use in health settings in Australia have sought to overcome some of the limitations through personalization. Deployed in aged care and home-based care facilities, the social robots are person-centered, emphasizing the personalization of care with human-like attributes (e.g., human appearances) to engage in reciprocal communication with users. While there have been debates over the advantages and disadvantages of personalization, this paper discusses the implications of personalization on the design of the robots for enhancing engagement, empowerment and enablement in health settings.
Australia's population is ageing and a large number of people are living in their own homes. Moti... more Australia's population is ageing and a large number of people are living in their own homes. Motivated by design science as the research methodology, the authors in this paper embark the research on designing, implementing, trialling and evaluating robot enabled user-centred care for people with dementia in home-based settings. Given the importance of pursuing personcentred care practice, this research involves marrying personhood in health care with socially assistive robotics to the designs of social robot enabled person-centred care services. We have conducted first ever longitudinal robotic trials through real deployments in Australian private dwellings to evaluate the impact of the designed socially assistive robots on older people with dementia. The data analyses have been performed through both interactional data (with 2044 times of interaction and a total of 167 hours of usage) and quality of robot experience survey. The descriptive analysis of interactional data show that the designed socially assistive robot enabled care system has facilitated breaking the technology barrier of people with dementia, positively proving sensory enrichment to participants and provided respires to the participants' carers. The quality of robot experience survey statistics indicate the participants had positive experience with their robot.
The growing number of people diagnosed with Autism Spectrum Disorder (ASD) is an issue of concern... more The growing number of people diagnosed with Autism Spectrum Disorder (ASD) is an issue of concern in Australia and many countries. In order to improve the engagement, reciprocity, productivity and usefulness of people with ASD in a home-based environment, in this paper the authors report on a 9 month Australian home-based care trial of socially assistive robot (Lucy) to support two young adults with autism. This work demonstrates that by marrying personhood (of people with ASD) with human-like communication modalities of Lucy potentially positive outcomes can be achieved in terms of engagement, productivity and usefulness as well as reciprocity of the people with ASD. Lucy also provide respite to their carers (e.g., parents) in their day to day living.
Vasile Palade Robert J. Howl ett Lakhmi Jain (EdsJ Knowledge-Based £ Intelligent Information and ... more Vasile Palade Robert J. Howl ett Lakhmi Jain (EdsJ Knowledge-Based £ Intelligent Information and Engineering Systems 7th International Conference, KES 2003 Oxford, UK, September 2003 Proceedings, Partit ... 1264 SlUìgWOok Joui} CI д1 Measure uf Directional tunlrtul. The ...
International Journal of Human–Computer Interaction, 2016
People with dementia often suffer the limitation in their ability to communicate and express them... more People with dementia often suffer the limitation in their ability to communicate and express themselves clearly, consequently spend most of their time alone and are not engaged in social activity as before. The prolonged lack of engagement has contributed to a variety of negative health effects. The research on engagement and acceptability of people with dementia using assistive technology such as social robots can be useful to provide potential solution and sustainability. Thus, this paper focuses on the service design and the effectiveness of the engagement, and acceptability while interacting with a social robot named Matilda being trialled from 2010 till 2013 with 115 participants in Australian residential aged care facilities. Combining the most updated engagement assessment method and the robot acceptance model as the methodology, the findings of this study indicate there is a statistically significant improvement in emotional, visual and behavioural engagement of older people with social robots over the years. The post-trial survey has also verified their acceptance the interaction with social robots.
This paper evaluates the use of Enterprise Resource Planning (ERP) system in a tertiary education... more This paper evaluates the use of Enterprise Resource Planning (ERP) system in a tertiary education institution in Australia and the implementation of the human-centered on the ERP system. The objective of the paper is to learn and measure a hierarchical influence of five human-centered dimensions on user satisfaction both directly and indirectly. This paper attempts to provide answers to whether the human-centered measurement models provide a systematic evaluation of ERP. The contributions of the paper to knowledge are to establish the need for the human-centered approach as a basis for the design of ERP systems, to define a systematic hierarchical human-centered model for measurement, in particular, and accounting information systems, in general, and to develop methodology for validation of the measurement model and applies it to evaluation of ERP systems. This paper suggests the application of a proposed five dimensional model in measuring the human-centeredness of ERP systems usin...
Journal of Japan Society for Fuzzy Theory and Intelligent Informatics, 2003
IHilllllHlllllilllM k fi11111[11HlllllllllllH.A.rerp,bitXfA Human-CenteredlntelligentSystems Raji... more IHilllllHlllllilllM k fi11111[11HlllllllllllH.A.rerp,bitXfA Human-CenteredlntelligentSystems RajivKHOSLA* The transition of intelligent systems frorn laboratories to real world in the last decade has created a need for humanization of intelligent systems. In this paper we outline human-centered framework fer development of intelligent systems, A distributed multi-layered multi-agent architecture is one of the four components of the framework. We describe in this paper that how the multi-layered architecture facilitates human-centered modelling of intelligent systems from multiple perspectives. The framework and the distributed multi-layered multi-agent ontology has been applied in a range areas including alarm processing, web mining, image processing, sales recruitment ancl medical diagnosis.
HCI in Business, Government, and Organizations: Information Systems, 2016
The well-executed recruitment and retention of employees in organisations in a highly competitive... more The well-executed recruitment and retention of employees in organisations in a highly competitive global market has grown significantly in the last decade. The need for managers to be emotionally intelligent for better management and productivity to deal with employees from generation Y and Z is also in great demand. In this paper we presents a framework which embodies human computer interaction techniques like facial emotion recognition, speech recognition and synthesis in socially assistive robot with human-like communication modalities to capture, analyse, profile and benchmark verbal and non-verbal data during a real-time job interview for hiring salespersons. This research fundamentally changes how employers can leverage the data analysis to seek for the best job applicant and how they perceive the use of human computer interaction (HCI) techniques and information technology in human resource management practice. Existing approaches for recruitment primarily rely on selection criteria and/or psychometric techniques followed by face to face interviews by subjective judgements of human beings. For example, the high turnover of salespersons in the industry has shown limited success of these procedures. Additionally, existing approaches lack benchmarking analysis internally by comparing the profile of most cultural fit employees. Thus, this research incorporates behavioural psychology, data mining, image processing, HCI modelling and techniques to provide a more holistic recruitment application using emotionally aware social robot. The implications of this research not only apply into the hiring and benchmarking of employees, but also collecting big data (verbal and non-verbal) for decision-making, personalised profiling and training.
Lecture Notes in Computer Science, 2003
Personal identification provides are important means for realizing a man-machine interface and se... more Personal identification provides are important means for realizing a man-machine interface and security products. Recently in the world, many researches for individual identification method using the face are widely done. In the personal identification methods using the face, the feature points method and the pattern matching method are general technology. However, condition of lighting affects recognition accuracy in many cases.
Lecture Notes in Computer Science, 2003
A problem for the illegal copy of the digital image, which overflows on WWW, and the copyright pr... more A problem for the illegal copy of the digital image, which overflows on WWW, and the copyright protection of the image information becomes serious. Electronic watermark technology is being watched as that strong countermeasure. However, there is a problem that the problem that quality of output deteriorates, and the codes put inside are analyzed. In this paper, a neuro-color compression
Pattern Recognition, 2008
Currently, TV programs are evaluated by using questionnaires given after previews or by using TV ... more Currently, TV programs are evaluated by using questionnaires given after previews or by using TV ratings. There are few objective criteria useful for describing technical know-how about program production. One of the TV program producers' concerns is how to choose expression methods that convey their ideas to viewers correctly and efficiently. Research has shown that eye-gaze direction is related to the human focus and attention. Gaze-based evaluations have been proposed for image-quality evaluations and certain usability tests. Such approaches are mainly based on how often a specific region attracted the subjects' gaze or how long their gaze was fixed on it. To apply these approaches to TV programs, all the object regions that seem to attract a viewer's gaze need to be specified in advance. This causes several problems including the accuracy of specifying the region by using an image processing technique is not equal to the human subject's recognition ability and it is not feasible to manually specify such regions in an enormous number of frames (images) comprising the program. Further, how characteristics of well-produced TV programs appear on the viewer's gaze has not been objectively analyzed yet. There is a need to investigate the relationship between gaze and program contents which can be used as means for improving comprehension and quality of the TV programs. In this paper, we propose a new measurement and evaluating method for this purpose. This paper focuses on the relationship between a viewer's comprehension of a program and their gaze direction in a real experimental TV educational program involving 26 elementary school children and broadcast by NHK Broadcasting Corporation of Japan. Correlation between TV program comprehension and entropy is investigated. That is, variances in the gaze direction in relation to program comprehension are based on a entropy value that represents the degree of dispersion in each frame and is calculated from a probability density function estimated from the gaze directions. The results indicate that the variances of the gaze direction for scenes that gave better comprehension tended to be lower. This tendency was further noticeable after a keyword utterance were related to the answers of corresponding questions.
2010 11th IEEE International Workshop on Advanced Motion Control (AMC), 2010
The purpose of this paper is to obtain the object. In particular, we focus on the face detection.... more The purpose of this paper is to obtain the object. In particular, we focus on the face detection. By using the proposed method, we recognize faces with a near-infrared (NIR) camera. The face detection that used images from the NIR camera is comparatively difficult to be done, because they are gray scale images. In this paper, the filter by using the GA is designed for the purpose of getting the faces. The method of detecting faces and the position from the NIR images is proposed in the on-line image. It is demonstrated that our approach is effective for vehicle driver monitoring. Finally, it was confirmed that the proposed method works well.
2009 11th IEEE International Symposium on Multimedia, 2009
International Journal of Strategic Information Technology and Applications, 2014
As the organizational memory in terms of collective knowledge evolves, how to construct an effect... more As the organizational memory in terms of collective knowledge evolves, how to construct an effective knowledge sharing mechanism to covert individual knowledge into collective knowledge becomes fairly demanding. CoPs approach is widely accepted as effective mechanism to facilitate knowledge sharing. Knowledge nodes in the context of knowledge flow, unlike workflow, can often transcend organizational boundaries and are distinct and different than workflow models. This paper aims to develop, implement, and analyze a CoPs Centered knowledge flow model in a multinational organization. This model is underpinned in a CoPs framework built around four expected performance including four dimensions and sixteen criteria as a comprehensive mechanism to intensify knowledge sharing effect. Next, this study clusters knowledge workers/nodes with common criteria (attitudes and beliefs) towards this model. These common attitudes and beliefs between two knowledge workers/nodes imply that knowledge sh...
Journal of Intelligent Manufacturing, 2010
Existing research in intelligent manufacturing literature has highlighted the need for linking or... more Existing research in intelligent manufacturing literature has highlighted the need for linking organizational culture, business strategy with Knowledge Management (KM) as well as measuring the performance of knowledge management systems for best practice. Communities of Practice (CoPs) are accepted as best practice and distinct from organizational structures while implementing KM. Besides, employing CoPs as an approach for linking business strategies with KM design, CoPs can be the prevailing way for group learning and innovation building within firms. As firms grow in size, scope, and complexity, CoPs members who regularly engage in sharing and learning based on common interests, could improve organizational performance. The purpose of this work is to design a CoPs model for KM which addresses issues related to organization culture, business strategy and performance measurement reported in earlier publications in intelligent manufacturing. A CoPs evaluation hierarchy for KM is developed. It includes four dimensions and sixteen criteria for studying and evaluating organizational culture and business strategy. Fuzzy Multi-Criteria Decision Making (MCDM) approach has been employed to quantitatively analyze various criteria priorities and business strategy preferences of CoPs. In order to validate the CoPs model, a case study has been undertaken in two multinational knowledge based organizations and the results are compared
International Journal of Human-Computer Interaction, 2014
Managing Knowledge for Global and Collaborative Innovations, 2009
Abstract Business process management (BPM) is a common approach used in dynamic and complicated e... more Abstract Business process management (BPM) is a common approach used in dynamic and complicated environment throughout the organizations' operation. Knowledge Flow Networks (KFN) and Communities of Practice (CoPs), especially that resulting from innovation needs, is regarded as a BPM issue. It involves both personal and organizational aspects, and is an iteration of the transmission between explicit and tacit knowledge. We discuss business process management in the context of Knowledge Management (KM) ...
Rajiv Khosla is an Associate Professor at School of Business, La Trobe University. He is the dire... more Rajiv Khosla is an Associate Professor at School of Business, La Trobe University. He is the director of externally funded Business Intelligence Institute-Business Systems and Knowledge Modelling research laboratory. Rajiv has a multi-disciplinary background in management, engineering and computer science. He has published over 120 refereed journal and conference papers. He has also authored four books (research monographs) in the area of Emotional Intelligence, Human-Centred e-Business, Multimedia based Socio-technical Information systems, Intelligent Hybrid Multi-agent Systems. Rajiv is the Associate editor of the International Journal of Pattern Recognition, Regional editor of Journal of Intelligent Manufacturing (Springer-verlag), and Action Editor of Journal of Cognitive Systems Research. He has been a project leader of over a dozen industry projects and has commercialised four IT products in Australia. Associate Professor Rajiv Khosla Business Intelligence Institute and Busine...
Model updating, as a new concept to be employed as a standard and universal method for system mod... more Model updating, as a new concept to be employed as a standard and universal method for system modification, has been started in and further developed in this paper. This paper introduces algorithms for Computation Tree Logic (CTL) model update. The algorithms correct errors in a CTL Kripke model to make this model satisfy its various required properties. These update algorithms are designed through pseudo-code, which details the logic of the algorithms. The microwave oven example in has been correctly treated by the pseudo-code, which demonstrates the feasibility of these algorithms. The algorithms and their pseudo-code are the foundations for later implementation of a CTL model updater and integration of a CTL model checker and this updater
Communicatio, 2016
In view of the shortage of healthcare workers and a growing aging population, it is worthwhile to... more In view of the shortage of healthcare workers and a growing aging population, it is worthwhile to explore the applicability of new technologies in improving the quality of healthcare and reducing its cost. However, it remains a challenge to deploy such technologies in environments where individuals have limited knowledge about how to use them. Thus, this paper explores how the social robots designed for use in health settings in Australia have sought to overcome some of the limitations through personalization. Deployed in aged care and home-based care facilities, the social robots are person-centered, emphasizing the personalization of care with human-like attributes (e.g., human appearances) to engage in reciprocal communication with users. While there have been debates over the advantages and disadvantages of personalization, this paper discusses the implications of personalization on the design of the robots for enhancing engagement, empowerment and enablement in health settings.
Australia's population is ageing and a large number of people are living in their own homes. Moti... more Australia's population is ageing and a large number of people are living in their own homes. Motivated by design science as the research methodology, the authors in this paper embark the research on designing, implementing, trialling and evaluating robot enabled user-centred care for people with dementia in home-based settings. Given the importance of pursuing personcentred care practice, this research involves marrying personhood in health care with socially assistive robotics to the designs of social robot enabled person-centred care services. We have conducted first ever longitudinal robotic trials through real deployments in Australian private dwellings to evaluate the impact of the designed socially assistive robots on older people with dementia. The data analyses have been performed through both interactional data (with 2044 times of interaction and a total of 167 hours of usage) and quality of robot experience survey. The descriptive analysis of interactional data show that the designed socially assistive robot enabled care system has facilitated breaking the technology barrier of people with dementia, positively proving sensory enrichment to participants and provided respires to the participants' carers. The quality of robot experience survey statistics indicate the participants had positive experience with their robot.
The growing number of people diagnosed with Autism Spectrum Disorder (ASD) is an issue of concern... more The growing number of people diagnosed with Autism Spectrum Disorder (ASD) is an issue of concern in Australia and many countries. In order to improve the engagement, reciprocity, productivity and usefulness of people with ASD in a home-based environment, in this paper the authors report on a 9 month Australian home-based care trial of socially assistive robot (Lucy) to support two young adults with autism. This work demonstrates that by marrying personhood (of people with ASD) with human-like communication modalities of Lucy potentially positive outcomes can be achieved in terms of engagement, productivity and usefulness as well as reciprocity of the people with ASD. Lucy also provide respite to their carers (e.g., parents) in their day to day living.
Vasile Palade Robert J. Howl ett Lakhmi Jain (EdsJ Knowledge-Based £ Intelligent Information and ... more Vasile Palade Robert J. Howl ett Lakhmi Jain (EdsJ Knowledge-Based £ Intelligent Information and Engineering Systems 7th International Conference, KES 2003 Oxford, UK, September 2003 Proceedings, Partit ... 1264 SlUìgWOok Joui} CI д1 Measure uf Directional tunlrtul. The ...
International Journal of Human–Computer Interaction, 2016
People with dementia often suffer the limitation in their ability to communicate and express them... more People with dementia often suffer the limitation in their ability to communicate and express themselves clearly, consequently spend most of their time alone and are not engaged in social activity as before. The prolonged lack of engagement has contributed to a variety of negative health effects. The research on engagement and acceptability of people with dementia using assistive technology such as social robots can be useful to provide potential solution and sustainability. Thus, this paper focuses on the service design and the effectiveness of the engagement, and acceptability while interacting with a social robot named Matilda being trialled from 2010 till 2013 with 115 participants in Australian residential aged care facilities. Combining the most updated engagement assessment method and the robot acceptance model as the methodology, the findings of this study indicate there is a statistically significant improvement in emotional, visual and behavioural engagement of older people with social robots over the years. The post-trial survey has also verified their acceptance the interaction with social robots.