USCSH: An Active Intelligent Assistance System

2000 ◽  
pp. 127-147 ◽  
Author(s):  
Manton Matthews ◽  
Walter Pharr ◽  
Gautam Biswas ◽  
Harish Neelakandan
Keyword(s):  
Assistance System ◽  
Intelligent Assistance

DEEPKOVER – AN ADAPTIVE ARTFUL INTELLIGENT ASSISTANCE SYSTEM FOR COGNITIVELY IMPAIRED PEOPLE

2010 ◽  
Vol 24 (5) ◽  
pp. 381-413 ◽  
Author(s):  
Mehdi Najjar ◽  
François Courtemanche ◽  
Habib Hamam ◽  
André Mayers
Keyword(s):  
Assistance System ◽  
Cognitively Impaired ◽  
Impaired People ◽  
Intelligent Assistance

Smartes Assistenzsystem zur Anforderungserhebung/From customer idea to plant and machinery manufacturer – An intelligent assistance system for requirements elicitation

2021 ◽  
Vol 111 (05) ◽  
pp. 295-299
Author(s):  
Erik-Felix Tinsel ◽  
Oliver Riedel ◽  
Alexander Verl
Keyword(s):  
Development Process ◽  
Requirements Elicitation ◽  
Assistance System ◽  
Customer Requirements ◽  
Simple Manner ◽  
Intelligent Assistance

Fehler bei der Inbetriebnahme von Maschinen und Anlagen sind kostspielig und zeitintensiv. Dabei steigen die Kosten mit dem Voranschreiten des Entwicklungsprozesses stark an. Um Missverständnisse oder Planungsfehler zu minimieren, bevor diese hohe Kosten verursachen, wird ein intelligentes Assistenzsystem beschrieben, das die Vorstellungen, Ziele und Mittel des Kunden auf einfache Weise erfasst und auftretende Probleme oder Unklarheiten reaktiv korrigiert. Der Maschinen- und Anlagenhersteller profitiert dabei von einer automatisch erstellten, einheitlichen Dokumentation der Kundenanforderungen.   Errors during commissioning of machines and plants are costly and time intensive. The costs grow higher with every step of the development process. To minimize misunderstandings and planning errors during the requirements phase, an intelligent assistance system is being introduced which acquires the ideas, goals and resources of a customer in a simple manner and reactively corrects arising problems or ambiguities. The machine and plant manufacturer profits from the uniform documentation of customer requirements.

Deepkøver An Adaptive Intelligent Assistance System for Monitoring Impaired People in Smart Homes

2011 ◽  
pp. 273-300
Author(s):  
Mehdi Najjar ◽  
François Courtemanche ◽  
Habib Hamam ◽  
Alexandre Dion ◽  
Jérémy Bauchet ◽  
...  
Keyword(s):  
Activities Of Daily Living ◽  
Smart Homes ◽  
Disabled Persons ◽  
Assistance System ◽  
Controlled Environment ◽  
Empirical Results ◽  
Impaired People ◽  
Key Features ◽  
Logistic Support ◽  
Intelligent Assistance

The chapter presents a novel modular adaptive artful intelligent assistance system for cognitively and/or memory impaired people engaged in the realisation of their activities of daily living (ADLs). The goal of this assistance system is to help disabled persons moving/evolving within a controlled environment in order to provide logistic support in achieving their ADLs. Empirical results of practical tests are presented and interpreted. Some deductions about the key features that represent originalities of the assistance system are drawn and future works are announced.

DeepKøver

2013 ◽  
pp. 634-661
Author(s):  
Mehdi Najjar ◽  
François Courtemanche ◽  
Habib Hamam ◽  
Alexandre Dion ◽  
Jérémy Bauchet ◽  
...  
Keyword(s):  
Activities Of Daily Living ◽  
Daily Living ◽  
Disabled Persons ◽  
Assistance System ◽  
Controlled Environment ◽  
Empirical Results ◽  
Impaired People ◽  
Key Features ◽  
Logistic Support ◽  
Intelligent Assistance

The chapter presents a novel modular adaptive artful intelligent assistance system for cognitively and/or memory impaired people engaged in the realisation of their activities of daily living (ADLs). The goal of this assistance system is to help disabled persons moving/evolving within a controlled environment in order to provide logistic support in achieving their ADLs. Empirical results of practical tests are presented and interpreted. Some deductions about the key features that represent originalities of the assistance system are drawn and future works are announced.

scholarly journals Intelligent User Assistance for Automated Data Mining Method Selection

2020 ◽  
Vol 62 (3) ◽  
pp. 227-247 ◽  
Author(s):  
Patrick Zschech ◽  
Richard Horn ◽  
Daniel Höschele ◽  
Christian Janiesch ◽  
Kai Heinrich
Keyword(s):  
Data Mining ◽  
Data Science ◽  
Assistance System ◽  
Research Approach ◽  
Validation Data ◽  
Domain Specific ◽  
Automated Method ◽  
Method Selection ◽  
Mining Methods ◽  
Intelligent Assistance

Abstract In any data science and analytics project, the task of mapping a domain-specific problem to an adequate set of data mining methods by experts of the field is a crucial step. However, these experts are not always available and data mining novices may be required to perform the task. While there are several research efforts for automated method selection as a means of support, only a few approaches consider the particularities of problems expressed in the natural and domain-specific language of the novice. The study proposes the design of an intelligent assistance system that takes problem descriptions articulated in natural language as an input and offers advice regarding the most suitable class of data mining methods. Following a design science research approach, the paper (i) outlines the problem setting with an exemplary scenario from industrial practice, (ii) derives design requirements, (iii) develops design principles and proposes design features, (iv) develops and implements the IT artifact using several methods such as embeddings, keyword extractions, topic models, and text classifiers, (v) demonstrates and evaluates the implemented prototype based on different classification pipelines, and (vi) discusses the results’ practical and theoretical contributions. The best performing classification pipelines show high accuracies when applied to validation data and are capable of creating a suitable mapping that exceeds the performance of joint novice assessments and simpler means of text mining. The research provides a promising foundation for further enhancements, either as a stand-alone intelligent assistance system or as an add-on to already existing data science and analytics platforms.

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