The Experts below are selected from a list of 327 Experts worldwide ranked by ideXlab platform

Simon J. Godsill - One of the best experts on this subject based on the ideXlab platform.

  • AutomotiveUI - Selection Facilitation Schemes for Predictive Touch with Mid-air Pointing Gestures in Automotive Displays
    Proceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2018
    Co-Authors: Bashar I. Ahmad, Patrick Langdon, Chrisminder Hare, Harpreet Singh, Arber Shabani, Briana Lindsay, Lee Skrypchuk, Simon J. Godsill
    Abstract:

    Predictive touch is an HMI technology that relies on inferring, early in the pointing gesture, the Interface item a driver or passenger intends to select on an in-vehicle display [1, 2]. It simplifies and expedites the selection task, thereby reducing the associated interaction effort. This paper presents two studies on drivers using predictive touch and focuses on evaluating the best means to facilitate selecting the intended on-display item. This includes immediate midair selection with the system autonomously auto-selecting the predicted Interface Component, hover/dwell and drivers pressing a button on the steering wheel to execute the selection action. These were arrived at in an expert workshop study with twelve participants. The results of the subsequent evaluation study with twenty four participants demonstrate, using quantitative and qualitative measures, that immediate mid-air selection is a promising assistive scheme, where drivers need not touch a physical surface to select Interface Components, thus touch-free control.

  • selection facilitation schemes for predictive touch with mid air pointing gestures in automotive displays
    Automotive User Interfaces and Interactive Vehicular Applications, 2018
    Co-Authors: Bashar I. Ahmad, Patrick Langdon, Chrisminder Hare, Harpreet Singh, Arber Shabani, Briana Lindsay, Lee Skrypchuk, Simon J. Godsill
    Abstract:

    Predictive touch is an HMI technology that relies on inferring, early in the pointing gesture, the Interface item a driver or passenger intends to select on an in-vehicle display [1, 2]. It simplifies and expedites the selection task, thereby reducing the associated interaction effort. This paper presents two studies on drivers using predictive touch and focuses on evaluating the best means to facilitate selecting the intended on-display item. This includes immediate midair selection with the system autonomously auto-selecting the predicted Interface Component, hover/dwell and drivers pressing a button on the steering wheel to execute the selection action. These were arrived at in an expert workshop study with twelve participants. The results of the subsequent evaluation study with twenty four participants demonstrate, using quantitative and qualitative measures, that immediate mid-air selection is a promising assistive scheme, where drivers need not touch a physical surface to select Interface Components, thus touch-free control.

  • predictive touch a novel hmi technology for intelligent displays in automotive
    Automotive User Interfaces and Interactive Vehicular Applications, 2018
    Co-Authors: Bashar I. Ahmad, Patrick Langdon, Simon J. Godsill, Lee Skrypchuk
    Abstract:

    Predictive touch is an emerging HMI technology that can significantly improve the usability and performance of in-vehicle displays [1-4]. It relies on predicting, early in the pointing gesture, the Interface item the driver or passenger intends to select on the display and simplifies the selection task. The user need not touch the display as the system can autonomously auto-select the predicted Interface Component. This video shows a prototype of a predictive touch system operating in real-time, in a laboratory and vehicle environment. It also depicts the prediction results as calculated by the system whilst pointing in a moving car.

  • HCI (7) - Stabilising Touch Interactions in Cockpits, Aerospace, and Vibrating Environments
    Universal Access in Human-Computer Interaction. Methods Technologies and Users, 2018
    Co-Authors: Bashar I. Ahmad, Patrick Langdon, Simon J. Godsill
    Abstract:

    Incorporating touch screen interaction into cockpit flight systems is increasingly gaining traction given its several potential advantages to design as well as usability to pilots. However, perturbations to the user input are prevalent in such environments due to vibrations, turbulence and high accelerations. This poses particular challenges for interacting with displays in the cockpit, for example, accidental activation during turbulence or high levels of distraction from the primary task of airplane control to accomplish selection tasks. On the other hand, predictive displays have emerged as a solution to minimize the effort as well as cognitive, visual and physical workload associated with using in-vehicle displays under perturbations, induced by road and driving conditions. This technology employs gesture tracking in 3D and potentially eye-gaze as well as other sensory data to substantially facilitate the acquisition (pointing and selection) of an Interface Component by predicting the item the user intents to select on the display, early in the movements towards the screen. A key aspect is utilising principled Bayesian modelling to incorporate and treat the present perturbation, thus, it is a software-based solution that showed promising results when applied to automotive applications. This paper explores the potential of applying this technology to applications in aerospace and vibrating environments in general and presents design recommendations for such an approach to enhance interactions accuracy as well as safety.

Shoji Tominaga - One of the best experts on this subject based on the ideXlab platform.

  • Surface identification using the dichromatic reflection model
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 1991
    Co-Authors: Shoji Tominaga
    Abstract:

    The author describes a method based on the dichromatic reflection model for identifying object surfaces. The surface spectral reflectance function of an inhomogeneous object is described as the sum of a constant Interface (specular) reflectance and a body (diffuse) reflectance under all illumination geometries. The Interface Component is used to estimate the spectral power distribution of the illuminant without using a reference white standard, whereas the body Component is used as the principal indication of the surface identity. The body reflectance function of each surface is recovered. A method to classify the observed reflectances is developed, and an algorithm to estimate a body reflectance function, unique to each surface, from the classified reflectances is proposed. The author shows the reliability of the surface classification method and the accuracy of estimated body reflectance function. >

Bashar I. Ahmad - One of the best experts on this subject based on the ideXlab platform.

  • AutomotiveUI - Selection Facilitation Schemes for Predictive Touch with Mid-air Pointing Gestures in Automotive Displays
    Proceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2018
    Co-Authors: Bashar I. Ahmad, Patrick Langdon, Chrisminder Hare, Harpreet Singh, Arber Shabani, Briana Lindsay, Lee Skrypchuk, Simon J. Godsill
    Abstract:

    Predictive touch is an HMI technology that relies on inferring, early in the pointing gesture, the Interface item a driver or passenger intends to select on an in-vehicle display [1, 2]. It simplifies and expedites the selection task, thereby reducing the associated interaction effort. This paper presents two studies on drivers using predictive touch and focuses on evaluating the best means to facilitate selecting the intended on-display item. This includes immediate midair selection with the system autonomously auto-selecting the predicted Interface Component, hover/dwell and drivers pressing a button on the steering wheel to execute the selection action. These were arrived at in an expert workshop study with twelve participants. The results of the subsequent evaluation study with twenty four participants demonstrate, using quantitative and qualitative measures, that immediate mid-air selection is a promising assistive scheme, where drivers need not touch a physical surface to select Interface Components, thus touch-free control.

  • selection facilitation schemes for predictive touch with mid air pointing gestures in automotive displays
    Automotive User Interfaces and Interactive Vehicular Applications, 2018
    Co-Authors: Bashar I. Ahmad, Patrick Langdon, Chrisminder Hare, Harpreet Singh, Arber Shabani, Briana Lindsay, Lee Skrypchuk, Simon J. Godsill
    Abstract:

    Predictive touch is an HMI technology that relies on inferring, early in the pointing gesture, the Interface item a driver or passenger intends to select on an in-vehicle display [1, 2]. It simplifies and expedites the selection task, thereby reducing the associated interaction effort. This paper presents two studies on drivers using predictive touch and focuses on evaluating the best means to facilitate selecting the intended on-display item. This includes immediate midair selection with the system autonomously auto-selecting the predicted Interface Component, hover/dwell and drivers pressing a button on the steering wheel to execute the selection action. These were arrived at in an expert workshop study with twelve participants. The results of the subsequent evaluation study with twenty four participants demonstrate, using quantitative and qualitative measures, that immediate mid-air selection is a promising assistive scheme, where drivers need not touch a physical surface to select Interface Components, thus touch-free control.

  • predictive touch a novel hmi technology for intelligent displays in automotive
    Automotive User Interfaces and Interactive Vehicular Applications, 2018
    Co-Authors: Bashar I. Ahmad, Patrick Langdon, Simon J. Godsill, Lee Skrypchuk
    Abstract:

    Predictive touch is an emerging HMI technology that can significantly improve the usability and performance of in-vehicle displays [1-4]. It relies on predicting, early in the pointing gesture, the Interface item the driver or passenger intends to select on the display and simplifies the selection task. The user need not touch the display as the system can autonomously auto-select the predicted Interface Component. This video shows a prototype of a predictive touch system operating in real-time, in a laboratory and vehicle environment. It also depicts the prediction results as calculated by the system whilst pointing in a moving car.

  • HCI (7) - Stabilising Touch Interactions in Cockpits, Aerospace, and Vibrating Environments
    Universal Access in Human-Computer Interaction. Methods Technologies and Users, 2018
    Co-Authors: Bashar I. Ahmad, Patrick Langdon, Simon J. Godsill
    Abstract:

    Incorporating touch screen interaction into cockpit flight systems is increasingly gaining traction given its several potential advantages to design as well as usability to pilots. However, perturbations to the user input are prevalent in such environments due to vibrations, turbulence and high accelerations. This poses particular challenges for interacting with displays in the cockpit, for example, accidental activation during turbulence or high levels of distraction from the primary task of airplane control to accomplish selection tasks. On the other hand, predictive displays have emerged as a solution to minimize the effort as well as cognitive, visual and physical workload associated with using in-vehicle displays under perturbations, induced by road and driving conditions. This technology employs gesture tracking in 3D and potentially eye-gaze as well as other sensory data to substantially facilitate the acquisition (pointing and selection) of an Interface Component by predicting the item the user intents to select on the display, early in the movements towards the screen. A key aspect is utilising principled Bayesian modelling to incorporate and treat the present perturbation, thus, it is a software-based solution that showed promising results when applied to automotive applications. This paper explores the potential of applying this technology to applications in aerospace and vibrating environments in general and presents design recommendations for such an approach to enhance interactions accuracy as well as safety.

Patrick Langdon - One of the best experts on this subject based on the ideXlab platform.

  • AutomotiveUI - Selection Facilitation Schemes for Predictive Touch with Mid-air Pointing Gestures in Automotive Displays
    Proceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2018
    Co-Authors: Bashar I. Ahmad, Patrick Langdon, Chrisminder Hare, Harpreet Singh, Arber Shabani, Briana Lindsay, Lee Skrypchuk, Simon J. Godsill
    Abstract:

    Predictive touch is an HMI technology that relies on inferring, early in the pointing gesture, the Interface item a driver or passenger intends to select on an in-vehicle display [1, 2]. It simplifies and expedites the selection task, thereby reducing the associated interaction effort. This paper presents two studies on drivers using predictive touch and focuses on evaluating the best means to facilitate selecting the intended on-display item. This includes immediate midair selection with the system autonomously auto-selecting the predicted Interface Component, hover/dwell and drivers pressing a button on the steering wheel to execute the selection action. These were arrived at in an expert workshop study with twelve participants. The results of the subsequent evaluation study with twenty four participants demonstrate, using quantitative and qualitative measures, that immediate mid-air selection is a promising assistive scheme, where drivers need not touch a physical surface to select Interface Components, thus touch-free control.

  • selection facilitation schemes for predictive touch with mid air pointing gestures in automotive displays
    Automotive User Interfaces and Interactive Vehicular Applications, 2018
    Co-Authors: Bashar I. Ahmad, Patrick Langdon, Chrisminder Hare, Harpreet Singh, Arber Shabani, Briana Lindsay, Lee Skrypchuk, Simon J. Godsill
    Abstract:

    Predictive touch is an HMI technology that relies on inferring, early in the pointing gesture, the Interface item a driver or passenger intends to select on an in-vehicle display [1, 2]. It simplifies and expedites the selection task, thereby reducing the associated interaction effort. This paper presents two studies on drivers using predictive touch and focuses on evaluating the best means to facilitate selecting the intended on-display item. This includes immediate midair selection with the system autonomously auto-selecting the predicted Interface Component, hover/dwell and drivers pressing a button on the steering wheel to execute the selection action. These were arrived at in an expert workshop study with twelve participants. The results of the subsequent evaluation study with twenty four participants demonstrate, using quantitative and qualitative measures, that immediate mid-air selection is a promising assistive scheme, where drivers need not touch a physical surface to select Interface Components, thus touch-free control.

  • predictive touch a novel hmi technology for intelligent displays in automotive
    Automotive User Interfaces and Interactive Vehicular Applications, 2018
    Co-Authors: Bashar I. Ahmad, Patrick Langdon, Simon J. Godsill, Lee Skrypchuk
    Abstract:

    Predictive touch is an emerging HMI technology that can significantly improve the usability and performance of in-vehicle displays [1-4]. It relies on predicting, early in the pointing gesture, the Interface item the driver or passenger intends to select on the display and simplifies the selection task. The user need not touch the display as the system can autonomously auto-select the predicted Interface Component. This video shows a prototype of a predictive touch system operating in real-time, in a laboratory and vehicle environment. It also depicts the prediction results as calculated by the system whilst pointing in a moving car.

  • HCI (7) - Stabilising Touch Interactions in Cockpits, Aerospace, and Vibrating Environments
    Universal Access in Human-Computer Interaction. Methods Technologies and Users, 2018
    Co-Authors: Bashar I. Ahmad, Patrick Langdon, Simon J. Godsill
    Abstract:

    Incorporating touch screen interaction into cockpit flight systems is increasingly gaining traction given its several potential advantages to design as well as usability to pilots. However, perturbations to the user input are prevalent in such environments due to vibrations, turbulence and high accelerations. This poses particular challenges for interacting with displays in the cockpit, for example, accidental activation during turbulence or high levels of distraction from the primary task of airplane control to accomplish selection tasks. On the other hand, predictive displays have emerged as a solution to minimize the effort as well as cognitive, visual and physical workload associated with using in-vehicle displays under perturbations, induced by road and driving conditions. This technology employs gesture tracking in 3D and potentially eye-gaze as well as other sensory data to substantially facilitate the acquisition (pointing and selection) of an Interface Component by predicting the item the user intents to select on the display, early in the movements towards the screen. A key aspect is utilising principled Bayesian modelling to incorporate and treat the present perturbation, thus, it is a software-based solution that showed promising results when applied to automotive applications. This paper explores the potential of applying this technology to applications in aerospace and vibrating environments in general and presents design recommendations for such an approach to enhance interactions accuracy as well as safety.

Karthikeyan Ponnalagu - One of the best experts on this subject based on the ideXlab platform.

  • Dynamic provisioning in multi-tenant service clouds
    Service Oriented Computing and Applications, 2012
    Co-Authors: Lakshmi Ramachandran, Nanjangud C. Narendra, Karthikeyan Ponnalagu
    Abstract:

    Cloud-based systems promise an on-demand service provisioning system along with a “pay-as-you-use” policy. In the case of multi-tenant systems this would mean dynamic creation of a tenant by integrating existing cloud-based services on the fly. Presently, dynamic creation of a tenant is handled by building the required Components from scratch. Although multi-tenant systems help providers save cost by allocating multiple tenants to the same instance of an application, they incur huge reconfiguration costs. Cost and time spent on these reconfiguration activities can be reduced by re-constructing tenants from existing tenant configurations supported by service providers. Multi-tenant cloud-based systems also lack the facility of allowing clients to specify their requirements. Giving clients the flexibility to specify requirements helps them avoid spending an excessive amount of time and effort looking through a list of services, many of which might not be relevant to them. Moreover, dynamic provisioning in the cloud requires an integrated solution across the technology stack (software, platform and infrastructure) combining functional, non-functional and resource allocation requirements. Existing research works in the area of web service matching, although numerous, still fall short, since they usually consider each requirement type in isolation and cannot provide an integrated solution. To that end, in this paper we investigate the features needed for dynamic service provisioning on the cloud. We propose a novel User Interface-Tenant Selector-Customizer (UTC) model and approach, which enables cloud-based services to be systematically modeled and provisioned as variants of existing service tenants in the cloud. Our approach considers functional, non-functional and resource allocation requirements, which are explicitly specified by the client via the user Interface Component of the model. To the best of our knowledge, ours is the first such integrated approach. We illustrate our ideas using a realistic running example, and also present a proof-of-concept prototype built using IBM’s Rational Software Architect modeling tool. We also present experimental results demonstrating the applicability of our matching algorithm. Our results show significant reduction in matching time with the help of an elimination process that reduces the search space needed for performing matching.