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Enabling Personalisation of Remote Elderly Assistant Applications

Published: 18 September 2017 Publication History

Abstract

One of the goals of Ambient Assisted Living (AAL) solutions is to extend the time that elderly people can live independently in their preferred environments by using ICT technologies for personal healthcare. However, in order to be optimal, remote monitoring services and health-related interventions should be strongly personalised to specific individuals' requirements, preferences, abilities and motivations, which can vary among the elderly and even dynamically evolve over time for the same person, depending on changing user needs and conditions associated with the current context of use. In this paper we present how a platform for the development of context-dependent applications by non-technical users has been customized for remotely monitoring and assisting elderly people at home. The platform has been integrated with an application for remotely assisting elderly people at home. The user editable personalisation features are specified by using trigger-action rules. The way to personalise applications through the platform has been tested with some elderly people and informal caregivers, and the feedback they reported in the test was encouraging.

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Cited By

View all
  • (2022)SynapseProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35503216:3(1-24)Online publication date: 7-Sep-2022
  • (2022)Examining Identity as a Variable of Health Technology Research for Older Adults: A Systematic ReviewProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517621(1-24)Online publication date: 29-Apr-2022
  • (2021)Assistive Technology for Elderly Care: An OverviewIEEE Access10.1109/ACCESS.2021.30924079(92420-92430)Online publication date: 2021
  • Show More Cited By

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Published In

cover image ACM Other conferences
CHItaly '17: Proceedings of the 12th Biannual Conference on Italian SIGCHI Chapter
September 2017
216 pages
ISBN:9781450352376
DOI:10.1145/3125571
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

In-Cooperation

  • SIGCHI Italy: SIGCHI Italy
  • University of Cagliari: University of Cagliari

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 September 2017

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Author Tags

  1. Ambient Assisted Living
  2. End-user development
  3. Personalisation Rules

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  • Research-article
  • Research
  • Refereed limited

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CHItaly '17

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CHItaly '17 Paper Acceptance Rate 26 of 77 submissions, 34%;
Overall Acceptance Rate 109 of 242 submissions, 45%

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Cited By

View all
  • (2022)SynapseProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35503216:3(1-24)Online publication date: 7-Sep-2022
  • (2022)Examining Identity as a Variable of Health Technology Research for Older Adults: A Systematic ReviewProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517621(1-24)Online publication date: 29-Apr-2022
  • (2021)Assistive Technology for Elderly Care: An OverviewIEEE Access10.1109/ACCESS.2021.30924079(92420-92430)Online publication date: 2021
  • (2021)End-user development of smart home rules using block-based programming: a comparative usability evaluation with programmers and non-programmersBehaviour & Information Technology10.1080/0144929X.2021.1921028(1-23)Online publication date: 3-May-2021
  • (2021)A human-centered artificial intelligence approach for privacy protection of elderly App users in smart citiesNeurocomputing10.1016/j.neucom.2020.06.149444(189-202)Online publication date: Jul-2021
  • (2020)ME3CA: A Cognitive Assistant for Physical Exercises that Monitors Emotions and the EnvironmentSensors10.3390/s2003085220:3(852)Online publication date: 5-Feb-2020
  • (2019)EMERALD—Exercise Monitoring Emotional AssistantSensors10.3390/s1908195319:8(1953)Online publication date: 25-Apr-2019
  • (2019)Social activity modelling and multimodal coaching for active agingProceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments10.1145/3316782.3322761(608-615)Online publication date: 5-Jun-2019
  • (2019)Enabling personalisation of remote elderly assistanceMultimedia Tools and Applications10.1007/s11042-019-7449-zOnline publication date: 27-Mar-2019
  • (2019)ME3CA - Monitoring Environment Exercise and Emotion by a Cognitive AssistantAmbient Intelligence – Software and Applications –,10th International Symposium on Ambient Intelligence10.1007/978-3-030-24097-4_16(128-135)Online publication date: 23-Jun-2019

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