Towards context-aware task recommendation

Vo, Chuong Cong; Torabi, Torab; Loke, Seng W.

doi:10.1109/jcpc.2009.5420173

Cited by 8 publications

(5 citation statements)

References 19 publications

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“…Web based e-learning interfaces are growing rapidly with advances in ubiquitous [1] and collaborative learning models. In this pursuit, we examine the Spoken-tutorial.org [2] elearning interface to intervene the behaviour interventions of its learners.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Web Based Behavioral Interventions Using Spoken Tutorials

Eranki

Moudgalya

2012

2012 IEEE Fourth International Conference on Technology for Education

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The clumsy and the inconsistent web interface of spoken-tutorial.org impedes its use by creators, reviewers, users and workshop organisers. Based on the analytics, such as the traversal paths taken by the learner to access the content and the duration of time spent, and the informal feedback, we have created a new integrated interface for the spoken tutorials. Cluster analysis of usability studies conducted on 82 engineering college students has confirmed that the new interface addresses the shortcomings of the old interface. The results also indicate that computer experience is a key factor that influences their preference towards e-learning interfaces as investigated through learner behavioral interventions.

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Section: Introductionmentioning

confidence: 99%

Evaluation of Web Based Behavioral Interventions Using Spoken Tutorials

Eranki

Moudgalya

2012

2012 IEEE Fourth International Conference on Technology for Education

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“…Music recommendation [208], recommendation systems for bank customers [209], and task recommenders [210], among others, are other examples of recommendation use cases.…”

Section: Othersmentioning

confidence: 99%

“…As another example, a context-aware gas station recommender for VANETs is presented in [277, 278]. Finally, the TASKREC system [210] is an activity recommender that proposes feasible and relevant tasks to perform based on the current situation and environment capabilities.…”

Section: Recommendation Use Casesmentioning

confidence: 99%

A Review of the Role of Sensors in Mobile Context-Aware Recommendation Systems

Ilarri

Hermoso

Trillo-Lado

et al. 2015

International Journal of Distributed Sensor Networks

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Recommendation systems are specialized in offering suggestions about specific items of different types (e.g., books, movies, restaurants, and hotels) that could be interesting for the user. They have attracted considerable research attention due to their benefits and also their commercial interest. Particularly, in recent years, the concept of context-aware recommendation system has appeared to emphasize the importance of considering the context of the situations in which the user is involved in order to provide more accurate recommendations. The detection of the context requires the use of sensors of different types, which measure different context variables. Despite the relevant role played by sensors in the development of context-aware recommendation systems, sensors and recommendation approaches are two fields usually studied independently. In this paper, we provide a survey on the use of sensors for recommendation systems. Our contribution can be seen from a double perspective. On the one hand, we overview existing techniques used to detect context factors that could be relevant for recommendation. On the other hand, we illustrate the interest of sensors by considering different recommendation use cases and scenarios.

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“…The user can also request TaskOS to cancel, undo, or redo an ongoing task. TaskRec [14] suggests to users possible and relevant tasks based on their context and environment capability. TaskUI is an interface for users to interact with TaskOS.…”

Section: Envisioned Operation Of Taskosmentioning

confidence: 99%

Task-Oriented Systems for Interaction with Ubiquitous Computing Environments

Torabi

Loke

2012

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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We present the design and implementation of a task-oriented system, that dynamically binds user tasks to available devices and services within a ubiquitous environment. The system provides users with a task-based interface for interacting with the environment. This interface is reoriented around user tasks, rather than particular functions of individual devices or services. The system has two main feature: (1) context-aware task recommendation and (2) task guidance, execution, and management. The fundamental input into the system is task descriptions, XML specifications that describe how tasks are executed. The abstraction of these descriptions allows tasks to be executed in diversely ubiquitous computing environments.

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Towards context-aware task recommendation

Cited by 8 publications

References 19 publications

Evaluation of Web Based Behavioral Interventions Using Spoken Tutorials

Evaluation of Web Based Behavioral Interventions Using Spoken Tutorials

A Review of the Role of Sensors in Mobile Context-Aware Recommendation Systems

Task-Oriented Systems for Interaction with Ubiquitous Computing Environments

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