Intelligent Assistants

Dhiman, Hitesh; Wächter, Christoph; Fellmann, Michael; Röcker, Carsten

doi:10.1007/s12599-022-00743-1

Cited by 12 publications

(9 citation statements)

References 72 publications

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“…Data were collected from users of intelligent assistants through a survey. Another research work [39] presents analysis of 111 published articles in the area of intelligent assistants. Ref.…”

Section: Intelligent Personal Assistants Personalized Task List Perso...mentioning

confidence: 99%

Intelligent Task Planning System Based on Methods of Fuzzy Natural Logic

Walek

Novák

2023

Axioms

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In this paper, we present a novel approach to task planning based on an intelligent expert system that makes it possible to obtain a conclusion based on linguistically characterized knowledge. The main goal of the proposed task planning system is to arrange and display tasks for the solver in an effective way. Therefore, the system shows the most important tasks first and then the less important ones (in a determined ordering). The solver has a list of tasks arranged according to their importance at each time the task list is displayed. Another goal of the system is to show the effectiveness of all subordinate workers (solvers) for the manager. The expert knowledge contained in the system is characterized by three linguistic descriptions: determination of the task importance, determination of the final task importance, and determination of the efficiency of the task solvers. The system shows the ordered task list in real time. Evaluation of the relative and final importance of the tasks is performed periodically. The system has been implemented as a WEB application and verified on real data set. We also present experimental results of our system.

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Section: Intelligent Personal Assistants Personalized Task List Perso...mentioning

confidence: 99%

Intelligent Task Planning System Based on Methods of Fuzzy Natural Logic

Walek

Novák

2023

Axioms

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“…A brief review on employment of CBR in educational systems shows that it is, not only applicable for suggesting suitable courses of massive open online courses (MOOCs) [20], but also is useful for planning towards personalization [21], contextualization [22] as well as recommendation [23,24] and intelligent assistance [25]. Here, case adaptation is believed to have a promising role in providing reasonable solutions.…”

Section: Related Workmentioning

confidence: 99%

A Compositional Adaptation-based Approach for Recommending Learning Resources in Software Development

Mahmoudi¹,

Badie

Moosaee

et al. 2022

IJE

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In this paper, we discussed the application of a compositional adaptation approach to recommend learning resources to users in the area of software development. This approach makes use of a domainspecific ontology in this area to find those words, which are used in the technical description of the stored cases. A point peculiar with representing cases in the proposed approach is to take into account the characteristics of included learning resources, which justify the way they support the essential operations in the case of solution. In this way, only those components that comply with user's request would be considered in the final solution. In the paper, the performance of the proposed approach for recommending learning resources together with the status of user experience in his/ her interaction with the resulted recommending system, have been evaluated. Results demonstrate the fact that the learning resources through this approach are sufficiently beneficial for the users. Although the proposed approach has been applied for recommending learning resources in the area of software development, it can be equally applied to any technological area through developing domain-specific ontology for that area. This is mainly because any technological area has its own specific objects/ entities holding their own semantic similarities that finally lead to forming a domain-specific ontology for that area.

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“…Intelligent assistants are commonly regarded as software agents capable of performing tasks or providing services, typically through conversational interfaces. Various definitions exist in the literature 45 , with the majority emphasizing their high level of intelligence. These assistants are expected to recognize voices, comprehend questions, model human behavior, and even predict user needs.…”

Section: Introductionmentioning

confidence: 99%

“…Currently, intelligent assistants are in high demand across diverse user groups 45 : housewives for obtaining kitchen recipes, weather forecasts, etc. ; people with limited mobility 49 and blind people 48 ; travellers who need help in translating from foreign languages; …”

Section: Introductionmentioning

confidence: 99%

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Urban intelligent assistant on the example of the escalator passenger safety management at the subway stations

Tianxing,

Vodyaho,

Zhukova

et al. 2023

Sci Rep

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Intelligent assistants often struggle with the complexity of spatiotemporal models used for understanding objects and environments. The construction and usage of such models demand significant computational resources. This article introduces a novel multilevel spatiotemporal model and a computationally efficient construction method. To facilitate model construction on different levels, we employ a meta-mining technique. Furthermore, the proposed model is specifically designed to excel in foggy environments. As a practical application, we develop an intelligent assistant focused on enhancing subway passenger safety. We present case examples involving jammed objects, such as shoes, in escalator combs. Our results demonstrate the effectiveness of the proposed model and method. Specifically, the accuracy of breakdown detection has improved by 10% compared to existing information systems used in subways. Moreover, the time required to build a spatiotemporal model is reduced by 2.3 times, further highlighting the efficiency of our approach. Our research offers a promising solution for intelligent assistants dealing with complex spatiotemporal modeling, with practical applications in ensuring subway passenger safety.

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Intelligent Assistants

Cited by 12 publications

References 72 publications

Intelligent Task Planning System Based on Methods of Fuzzy Natural Logic

Intelligent Task Planning System Based on Methods of Fuzzy Natural Logic

A Compositional Adaptation-based Approach for Recommending Learning Resources in Software Development

Urban intelligent assistant on the example of the escalator passenger safety management at the subway stations

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