Virtual Companion Based Mobile User Interface: An Intelligent and Simplified Mobile User Interface for the Elderly Users

Noh, Sang-Woo; Han, Juyeon; Jo, Jinwoo; Choi, Ahyoung

doi:10.1109/isuvr.2017.10

Cited by 9 publications

(4 citation statements)

References 3 publications

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“…Newscasters (Matsumoto et al 2007), which, as previously said, generate a feeling of companionship ( Östlund 2010), do not sustain dialogues with end users. Conversational systems have already been considered for entertainment and healthcare (Noh et al 2017;Su et al 2017), although still at an early stage.…”

Section: Related Workmentioning

confidence: 99%

Automatic detection of cognitive impairment in elderly people using an entertainment chatbot with Natural Language Processing capabilities

Arriba-Pérez

García-Méndez

González-Castaño

et al. 2022

J Ambient Intell Human Comput

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Previous researchers have proposed intelligent systems for therapeutic monitoring of cognitive impairments. However, most existing practical approaches for this purpose are based on manual tests. This raises issues such as excessive caretaking effort and the white-coat effect. To avoid these issues, we present an intelligent conversational system for entertaining elderly people with news of their interest that monitors cognitive impairment transparently. Automatic chatbot dialogue stages allow assessing content description skills and detecting cognitive impairment with Machine Learning algorithms. We create these dialogue flows automatically from updated news items using Natural Language Generation techniques. The system also infers the gold standard of the answers to the questions, so it can assess cognitive capabilities automatically by comparing these answers with the user responses. It employs a similarity metric with values in [0, 1], in increasing level of similarity. To evaluate the performance and usability of our approach, we have conducted field tests with a test group of 30 elderly people in the earliest stages of dementia, under the supervision of gerontologists. In the experiments, we have analysed the effect of stress and concentration in these users. Those without cognitive impairment performed up to five times better. In particular, the similarity metric varied between 0.03, for stressed and unfocused participants, and 0.36, for relaxed and focused users. Finally, we developed a Machine Learning algorithm based on textual analysis features for automatic cognitive impairment detection, which attained accuracy, F-measure and recall levels above 80%. We have thus validated the automatic approach to detect cognitive impairment in elderly people based on entertainment content. The results suggest that the solution has strong potential for long-term user-friendly therapeutic monitoring of elderly people.

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Section: Related Workmentioning

confidence: 99%

Automatic detection of cognitive impairment in elderly people using an entertainment chatbot with Natural Language Processing capabilities

Arriba-Pérez

García-Méndez

González-Castaño

et al. 2022

J Ambient Intell Human Comput

View full text Add to dashboard Cite

show abstract

“…In [45], a virtual companion-based interface was proposed by the authors to simplify the mobile interface for the elderly. This interface shows menus through a virtual agent as per the scenario and the request of users and animates information in a 3-dimensional layout.…”

Section: Current Challenges and Envisioning The Futurementioning

confidence: 99%

Introduction to Intelligent User Interfaces (IUIs)

Jalil¹

2022

Software Usability

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This chapter is intended to provide an overview of the Intelligent User Interfaces subject. The outline includes the basic concepts and terminology, a review of current technologies and recent developments in the field, common architectures used for the design of IUI systems, and finally the IUI applications. Intelligent user interfaces (IUIs) are attempting to address human-computer connection issues by offering innovative communication approaches and by listening to the user. Virtual reality is also an emerging IUI area that can be the popular interface of the future by integrating the technology into the environment so that at the same time it can be more real and invisible. The ultimate computer interface is more like interacting with the computer in a dialog, an interactive environment of virtual reality in which you can communicate. This chapter also explores a methodology for the design of situation-aware frameworks for the user interface that utilizes user and context inputs to provide details customized to the activities of the user in particular circumstances. In order to comply to the new situation, the user interface will reconfigure itself automatically. Adjusting the user interface to the actual situation and providing a reusable list of tasks in a given situation decreases operator memory loads. The challenge of pulling together the details needed by situation-aware decision support systems in a way that minimizes cognitive workload is not addressed by current user interface design.

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“…After evaluations it was realized that the Amazon assistant had the potential to fulfill most of the objectives of the proposed model. Noh et al [11] proposes a virtual interface that simplifies the interface of a smartphone for the elderly. The proposal displays menus according to the situation and user request through a virtual agent.…”

Section: Related Workmentioning

confidence: 99%

Conversational Agents for the Elderly, the Guardian Platform

Ferreira¹,

Oliveira²,

Damasceno³

et al. 2020

Anais Do XI Computer on the Beach - COTB '20

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With increasing of life expectancy innovative solutions that ensurewell-being of the seniors become most needed. In this context, inorder to deny the main difficulties reported by the senior public withthe use of mobile devices, we propose a technology entirely basedon voice interactions and we name this project of Guardian. Theessence of the project is to provide, through a mobile application, aplatform with a set of intelligent agents focused on the well-beingof the older adults. In this work the mains objectives to analyze andevaluate the usability of the Guardian and the cultural impacts ofthe technology. For the data collection, video recordings were used,a questionnaire that identifies the socio-technological profile of theresearch participants and the system usability scale (SUS).

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Virtual Companion Based Mobile User Interface: An Intelligent and Simplified Mobile User Interface for the Elderly Users

Cited by 9 publications

References 3 publications

Automatic detection of cognitive impairment in elderly people using an entertainment chatbot with Natural Language Processing capabilities

Automatic detection of cognitive impairment in elderly people using an entertainment chatbot with Natural Language Processing capabilities

Introduction to Intelligent User Interfaces (IUIs)

Conversational Agents for the Elderly, the Guardian Platform

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