Co-Designing the Interface of AI-Based Lifestyle Monitoring Systems in Long-Term Care for Older Adults

S. W.M. Groeneveld; T. Dekkers; S. Bax; J.E.W.C. van Gemert-Pijnen; R.M. Verdaasdonk; H. van Os-Medendorp; M.E.M. den Ouden

doi:10.1007/978-3-032-30424-7_5

Co-Designing the Interface of AI-Based Lifestyle Monitoring Systems in Long-Term Care for Older Adults

S. W.M. Groeneveld^*
, T. Dekkers
, S. Bax
, J.E.W.C. van Gemert-Pijnen
, R.M. Verdaasdonk
, H. van Os-Medendorp
, M.E.M. den Ouden

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

Background: AI-based lifestyle monitoring systems are increasingly explored in long-term care for older adults. While these systems appear promising, insight into interface design requirements from the perspectives of nurses and informal caregivers remains limited. This study aimed to co-design and evaluate interface designs together with nurses and informal caregivers in order to formulate design requirements for AI-based lifestyle monitoring systems in long-term care for older adults.

Methods: A human-centered, iterative design approach was applied, consisting of four phases: (1) a co-design session to develop a shared care scenario and personas, (2) focus groups to explore interface design preferences, (3) the design of interface prototypes, and (4) two iterative rounds of prototype testing. Data were analyzed using reflexive thematic analysis using Atlas.ti. Identified preferences were structured into values, attributes, and design requirements.

Results: The findings indicate that interface design for AI-based lifestyle monitoring systems needs to address a broad and interconnected set of requirements. These include clear and intuitive visual presentation, meaningful structuring of information, and well-defined notifications that also provide insight into follow-up actions. In addition, interfaces should accommodate different user roles, be easy to use and be reliable, integrate smoothly with existing care systems, and support caregivers’ own judgment rather than presenting predefined conclusions.

Conclusions: The study resulted in a consolidated set of design requirements addressing visual presentation, level of detail, notifications, user roles, ease of use, reliability, system integration and autonomy.

Original language	English
Title of host publication	Human Aspects of IT for the Aged Population
Subtitle of host publication	12th International Conference, ITAP 2026, held as Part of the 28th HCI International Conference, HCII 2026, Proceedings
Editors	Qin Gao, Jia Zhou
Place of Publication	Cham
Publisher	Springer
Pages	69-90
Number of pages	22
Volume	P.III
Edition	1
ISBN (Electronic)	978-3-032-30424-7
ISBN (Print)	978-3-032-30423-0
DOIs	https://doi.org/10.1007/978-3-032-30424-7_5
Publication status	E-pub ahead of print/First online - 7 Jul 2026
Event	12th International Conference on Human Aspects of IT for the Aged Population, ITAP 2026, held as part of the 28th International Conference on Human-Computer Interaction, HCII 2026 - Montreal Convention Centre, Montreal, Canada Duration: 26 Jul 2026 → 31 Jul 2026 Conference number: 12

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	16736 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	12th International Conference on Human Aspects of IT for the Aged Population, ITAP 2026, held as part of the 28th International Conference on Human-Computer Interaction, HCII 2026
Abbreviated title	ITAP 2026
Country/Territory	Canada
City	Montreal
Period	26/07/26 → 31/07/26

Keywords

AI
co-design
HCI
human-centered design
interface design
lifestyle monitoring
long-term care

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10.1007/978-3-032-30424-7_5Licence: CC BY

Conference paperFinal published version, 2.6 MBLicence: CC BY

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Groeneveld, S. W. M., Dekkers, T., Bax, S., van Gemert-Pijnen, J. E. W. C., Verdaasdonk, R. M., van Os-Medendorp, H., & den Ouden, M. E. M. (2026). Co-Designing the Interface of AI-Based Lifestyle Monitoring Systems in Long-Term Care for Older Adults. In Q. Gao, & J. Zhou (Eds.), Human Aspects of IT for the Aged Population: 12th International Conference, ITAP 2026, held as Part of the 28th HCI International Conference, HCII 2026, Proceedings (1 ed., Vol. P.III, pp. 69-90). (Lecture Notes in Computer Science; Vol. 16736 LNCS). Springer. Advance online publication. https://doi.org/10.1007/978-3-032-30424-7_5

Groeneveld, S. W.M. ; Dekkers, T. ; Bax, S. et al. / Co-Designing the Interface of AI-Based Lifestyle Monitoring Systems in Long-Term Care for Older Adults. Human Aspects of IT for the Aged Population: 12th International Conference, ITAP 2026, held as Part of the 28th HCI International Conference, HCII 2026, Proceedings. editor / Qin Gao ; Jia Zhou. Vol. P.III 1. ed. Cham : Springer, 2026. pp. 69-90 (Lecture Notes in Computer Science).

@inproceedings{6c83cc86954c409588d1624255e7f444,

title = "Co-Designing the Interface of AI-Based Lifestyle Monitoring Systems in Long-Term Care for Older Adults",

abstract = "Background: AI-based lifestyle monitoring systems are increasingly explored in long-term care for older adults. While these systems appear promising, insight into interface design requirements from the perspectives of nurses and informal caregivers remains limited. This study aimed to co-design and evaluate interface designs together with nurses and informal caregivers in order to formulate design requirements for AI-based lifestyle monitoring systems in long-term care for older adults.Methods: A human-centered, iterative design approach was applied, consisting of four phases: (1) a co-design session to develop a shared care scenario and personas, (2) focus groups to explore interface design preferences, (3) the design of interface prototypes, and (4) two iterative rounds of prototype testing. Data were analyzed using reflexive thematic analysis using Atlas.ti. Identified preferences were structured into values, attributes, and design requirements.Results: The findings indicate that interface design for AI-based lifestyle monitoring systems needs to address a broad and interconnected set of requirements. These include clear and intuitive visual presentation, meaningful structuring of information, and well-defined notifications that also provide insight into follow-up actions. In addition, interfaces should accommodate different user roles, be easy to use and be reliable, integrate smoothly with existing care systems, and support caregivers{\textquoteright} own judgment rather than presenting predefined conclusions.Conclusions: The study resulted in a consolidated set of design requirements addressing visual presentation, level of detail, notifications, user roles, ease of use, reliability, system integration and autonomy.",

keywords = "AI, co-design, HCI, human-centered design, interface design, lifestyle monitoring, long-term care",

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note = "Publisher Copyright: {\textcopyright} The Author(s) 2026.; 12th International Conference on Human Aspects of IT for the Aged Population, ITAP 2026, held as part of the 28th International Conference on Human-Computer Interaction, HCII 2026, ITAP 2026 ; Conference date: 26-07-2026 Through 31-07-2026",

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doi = "10.1007/978-3-032-30424-7\_5",

language = "English",

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volume = "P.III",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "69--90",

editor = "Qin Gao and Jia Zhou",

booktitle = "Human Aspects of IT for the Aged Population",

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Groeneveld, SWM, Dekkers, T, Bax, S, van Gemert-Pijnen, JEWC , Verdaasdonk, RM, van Os-Medendorp, H & den Ouden, MEM 2026, Co-Designing the Interface of AI-Based Lifestyle Monitoring Systems in Long-Term Care for Older Adults. in Q Gao & J Zhou (eds), Human Aspects of IT for the Aged Population: 12th International Conference, ITAP 2026, held as Part of the 28th HCI International Conference, HCII 2026, Proceedings. 1 edn, vol. P.III, Lecture Notes in Computer Science, vol. 16736 LNCS, Springer, Cham, pp. 69-90, 12th International Conference on Human Aspects of IT for the Aged Population, ITAP 2026, held as part of the 28th International Conference on Human-Computer Interaction, HCII 2026, Montreal, Quebec, Canada, 26/07/26. https://doi.org/10.1007/978-3-032-30424-7_5

Co-Designing the Interface of AI-Based Lifestyle Monitoring Systems in Long-Term Care for Older Adults. / Groeneveld, S. W.M.; Dekkers, T.; Bax, S. et al.
Human Aspects of IT for the Aged Population: 12th International Conference, ITAP 2026, held as Part of the 28th HCI International Conference, HCII 2026, Proceedings. ed. / Qin Gao; Jia Zhou. Vol. P.III 1. ed. Cham: Springer, 2026. p. 69-90 (Lecture Notes in Computer Science; Vol. 16736 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Co-Designing the Interface of AI-Based Lifestyle Monitoring Systems in Long-Term Care for Older Adults

AU - Groeneveld, S. W.M.

AU - Dekkers, T.

AU - Bax, S.

AU - van Gemert-Pijnen, J.E.W.C.

AU - Verdaasdonk, R.M.

AU - van Os-Medendorp, H.

AU - den Ouden, M.E.M.

N1 - Conference code: 12

PY - 2026/7/7

Y1 - 2026/7/7

N2 - Background: AI-based lifestyle monitoring systems are increasingly explored in long-term care for older adults. While these systems appear promising, insight into interface design requirements from the perspectives of nurses and informal caregivers remains limited. This study aimed to co-design and evaluate interface designs together with nurses and informal caregivers in order to formulate design requirements for AI-based lifestyle monitoring systems in long-term care for older adults.Methods: A human-centered, iterative design approach was applied, consisting of four phases: (1) a co-design session to develop a shared care scenario and personas, (2) focus groups to explore interface design preferences, (3) the design of interface prototypes, and (4) two iterative rounds of prototype testing. Data were analyzed using reflexive thematic analysis using Atlas.ti. Identified preferences were structured into values, attributes, and design requirements.Results: The findings indicate that interface design for AI-based lifestyle monitoring systems needs to address a broad and interconnected set of requirements. These include clear and intuitive visual presentation, meaningful structuring of information, and well-defined notifications that also provide insight into follow-up actions. In addition, interfaces should accommodate different user roles, be easy to use and be reliable, integrate smoothly with existing care systems, and support caregivers’ own judgment rather than presenting predefined conclusions.Conclusions: The study resulted in a consolidated set of design requirements addressing visual presentation, level of detail, notifications, user roles, ease of use, reliability, system integration and autonomy.

AB - Background: AI-based lifestyle monitoring systems are increasingly explored in long-term care for older adults. While these systems appear promising, insight into interface design requirements from the perspectives of nurses and informal caregivers remains limited. This study aimed to co-design and evaluate interface designs together with nurses and informal caregivers in order to formulate design requirements for AI-based lifestyle monitoring systems in long-term care for older adults.Methods: A human-centered, iterative design approach was applied, consisting of four phases: (1) a co-design session to develop a shared care scenario and personas, (2) focus groups to explore interface design preferences, (3) the design of interface prototypes, and (4) two iterative rounds of prototype testing. Data were analyzed using reflexive thematic analysis using Atlas.ti. Identified preferences were structured into values, attributes, and design requirements.Results: The findings indicate that interface design for AI-based lifestyle monitoring systems needs to address a broad and interconnected set of requirements. These include clear and intuitive visual presentation, meaningful structuring of information, and well-defined notifications that also provide insight into follow-up actions. In addition, interfaces should accommodate different user roles, be easy to use and be reliable, integrate smoothly with existing care systems, and support caregivers’ own judgment rather than presenting predefined conclusions.Conclusions: The study resulted in a consolidated set of design requirements addressing visual presentation, level of detail, notifications, user roles, ease of use, reliability, system integration and autonomy.

KW - AI

KW - co-design

KW - HCI

KW - human-centered design

KW - interface design

KW - lifestyle monitoring

KW - long-term care

UR - https://www.scopus.com/pages/publications/105045493933

U2 - 10.1007/978-3-032-30424-7_5

DO - 10.1007/978-3-032-30424-7_5

M3 - Conference contribution

AN - SCOPUS:105045493933

SN - 978-3-032-30423-0

VL - P.III

T3 - Lecture Notes in Computer Science

SP - 69

EP - 90

BT - Human Aspects of IT for the Aged Population

A2 - Gao, Qin

A2 - Zhou, Jia

PB - Springer

CY - Cham

T2 - 12th International Conference on Human Aspects of IT for the Aged Population, ITAP 2026, held as part of the 28th International Conference on Human-Computer Interaction, HCII 2026

Y2 - 26 July 2026 through 31 July 2026

ER -

Groeneveld SWM, Dekkers T, Bax S, van Gemert-Pijnen JEWC , Verdaasdonk RM, van Os-Medendorp H et al. Co-Designing the Interface of AI-Based Lifestyle Monitoring Systems in Long-Term Care for Older Adults. In Gao Q, Zhou J, editors, Human Aspects of IT for the Aged Population: 12th International Conference, ITAP 2026, held as Part of the 28th HCI International Conference, HCII 2026, Proceedings. 1 ed. Vol. P.III. Cham: Springer. 2026. p. 69-90. (Lecture Notes in Computer Science). Epub 2026 Jul 7. doi: 10.1007/978-3-032-30424-7_5

Co-Designing the Interface of AI-Based Lifestyle Monitoring Systems in Long-Term Care for Older Adults

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