Activity Typologies as a Design Model for the Ubiquitous Detection of Daily Routines

Jaana Leikas, Helena Launiainen, Minna Kulju, Pertti Saariluoma, Kari Bäckman

Research output: Contribution to journalArticleScientificpeer-review

Abstract

Emerging technologies open up new visions and business potential for systems design and development in the areas of wellbeing and health. New technologies enable the detection of human performance and early changes in physical and cognitive functioning, making it possible to monitor an older person’s wellbeing. This kind of technology or service sets significant requirements for design, as design concepts must be able to capture the complexity of people’s daily lives in terms of activities and environments. Technology itself is “blind” unless designers can adapt it to human life. There is thus a distinct need for comprehensive design and development models that generate adequate human requirements for such design. Activity typologies described in this paper are an example of such life-based design relevant knowledge. They allow the detection of signals in daily routines that would predict a decline in the target person’s functioning, and feed this data into design processes. They can be used to create a model for human requirements specification for such ubiquitous services that are grounded on the idea of detecting changes in human activity. The model presented in this paper is created in BeWell project and based on the theoretical frameworks of Life-Based Design and International Classification of Functioning, Disability and Health.
Original languageEnglish
Pages (from-to)79-88
JournalFinnish Journal of eHealth and eWelfare
Volume10
Issue number1
DOIs
Publication statusPublished - 2018
MoE publication typeA1 Journal article-refereed

Fingerprint

Health
Systems analysis
Specifications
Industry

Keywords

  • aging
  • technology
  • home care
  • memory
  • activities of daily living
  • ICF
  • life-based design

Cite this

Leikas, Jaana ; Launiainen, Helena ; Kulju, Minna ; Saariluoma, Pertti ; Bäckman, Kari. / Activity Typologies as a Design Model for the Ubiquitous Detection of Daily Routines. In: Finnish Journal of eHealth and eWelfare. 2018 ; Vol. 10, No. 1. pp. 79-88.
@article{de2bdd455cdd4d5388d1143be1744a9c,
title = "Activity Typologies as a Design Model for the Ubiquitous Detection of Daily Routines",
abstract = "Emerging technologies open up new visions and business potential for systems design and development in the areas of wellbeing and health. New technologies enable the detection of human performance and early changes in physical and cognitive functioning, making it possible to monitor an older person’s wellbeing. This kind of technology or service sets significant requirements for design, as design concepts must be able to capture the complexity of people’s daily lives in terms of activities and environments. Technology itself is “blind” unless designers can adapt it to human life. There is thus a distinct need for comprehensive design and development models that generate adequate human requirements for such design. Activity typologies described in this paper are an example of such life-based design relevant knowledge. They allow the detection of signals in daily routines that would predict a decline in the target person’s functioning, and feed this data into design processes. They can be used to create a model for human requirements specification for such ubiquitous services that are grounded on the idea of detecting changes in human activity. The model presented in this paper is created in BeWell project and based on the theoretical frameworks of Life-Based Design and International Classification of Functioning, Disability and Health.",
keywords = "aging, technology, home care, memory, activities of daily living, ICF, life-based design",
author = "Jaana Leikas and Helena Launiainen and Minna Kulju and Pertti Saariluoma and Kari B{\"a}ckman",
year = "2018",
doi = "10.23996/fjhw.65165",
language = "English",
volume = "10",
pages = "79--88",
journal = "Finnish Journal of eHealth and eWelfare",
issn = "1798-0798",
number = "1",

}

Activity Typologies as a Design Model for the Ubiquitous Detection of Daily Routines. / Leikas, Jaana; Launiainen, Helena; Kulju, Minna; Saariluoma, Pertti; Bäckman, Kari.

In: Finnish Journal of eHealth and eWelfare, Vol. 10, No. 1, 2018, p. 79-88.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Activity Typologies as a Design Model for the Ubiquitous Detection of Daily Routines

AU - Leikas, Jaana

AU - Launiainen, Helena

AU - Kulju, Minna

AU - Saariluoma, Pertti

AU - Bäckman, Kari

PY - 2018

Y1 - 2018

N2 - Emerging technologies open up new visions and business potential for systems design and development in the areas of wellbeing and health. New technologies enable the detection of human performance and early changes in physical and cognitive functioning, making it possible to monitor an older person’s wellbeing. This kind of technology or service sets significant requirements for design, as design concepts must be able to capture the complexity of people’s daily lives in terms of activities and environments. Technology itself is “blind” unless designers can adapt it to human life. There is thus a distinct need for comprehensive design and development models that generate adequate human requirements for such design. Activity typologies described in this paper are an example of such life-based design relevant knowledge. They allow the detection of signals in daily routines that would predict a decline in the target person’s functioning, and feed this data into design processes. They can be used to create a model for human requirements specification for such ubiquitous services that are grounded on the idea of detecting changes in human activity. The model presented in this paper is created in BeWell project and based on the theoretical frameworks of Life-Based Design and International Classification of Functioning, Disability and Health.

AB - Emerging technologies open up new visions and business potential for systems design and development in the areas of wellbeing and health. New technologies enable the detection of human performance and early changes in physical and cognitive functioning, making it possible to monitor an older person’s wellbeing. This kind of technology or service sets significant requirements for design, as design concepts must be able to capture the complexity of people’s daily lives in terms of activities and environments. Technology itself is “blind” unless designers can adapt it to human life. There is thus a distinct need for comprehensive design and development models that generate adequate human requirements for such design. Activity typologies described in this paper are an example of such life-based design relevant knowledge. They allow the detection of signals in daily routines that would predict a decline in the target person’s functioning, and feed this data into design processes. They can be used to create a model for human requirements specification for such ubiquitous services that are grounded on the idea of detecting changes in human activity. The model presented in this paper is created in BeWell project and based on the theoretical frameworks of Life-Based Design and International Classification of Functioning, Disability and Health.

KW - aging

KW - technology

KW - home care

KW - memory

KW - activities of daily living

KW - ICF

KW - life-based design

U2 - 10.23996/fjhw.65165

DO - 10.23996/fjhw.65165

M3 - Article

VL - 10

SP - 79

EP - 88

JO - Finnish Journal of eHealth and eWelfare

JF - Finnish Journal of eHealth and eWelfare

SN - 1798-0798

IS - 1

ER -