Inclusive AI-Driven Music Chatbots for Older Adults

Farkhandah Aziz; Effie L.-C. Law; Li Li; Shuang Chen

doi:10.1007/978-3-031-91760-8_6

Inclusive AI-Driven Music Chatbots for Older Adults

Farkhandah Aziz, Effie L.-C. Law, Li Li, Shuang Chen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Today, chatbots are commonly used for music, mainly targeting young people. These chatbots are tailored to the preferences of younger users, but they often overlook the usability challenges experienced by older adults. There is little research on adapting them for older adults. To address this, we conducted a survey with 100 older adults to understand their music preferences and requirements for a music chatbot. Then, we developed the music chatbot based on the human-centred design (HCD) principles while also incorporating LLMs and prompt engineering. We tested the music chatbot prototype with five older adults, who generally had positive feedback although trust and reliability remain a challenge. Moving forward, we aim to explore ways to make the music chatbot more inclusive based on unique preferences and needs of older adults.

Original language	English
Title of host publication	Engineering Interactive Computer Systems.
Subtitle of host publication	EICS 2024 International Workshops, Revised Selected Papers
Editors	Luciana Zaina, José Creissac Campos, Davide Spano, Kris Luyten, Philippe Palanque, Gerrit van der Veer, Achim Ebert, Shah Rukh Humayoun, Vera Memmesheimer
Publisher	Springer, Cham.
Pages	74-93
Number of pages	20
ISBN (Electronic)	9783031917608
ISBN (Print)	9783031917592
DOIs	https://doi.org/10.1007/978-3-031-91760-8_6
Publication status	Published - 30 May 2025
Externally published	Yes
Event	Engineering Interactive Computer Systems. : EICS 2024 International Workshops - Cagliari, Italy Duration: 24 Jun 2024 → 28 Jun 2024 https://eics.acm.org/2024/

Publication series

Name	Lecture Notes in Computer Science
Volume	15518 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	Engineering Interactive Computer Systems.
Abbreviated title	EICS 2024
Country/Territory	Italy
City	Cagliari
Period	24/06/24 → 28/06/24
Internet address	https://eics.acm.org/2024/

Access to Document

10.1007/978-3-031-91760-8_6

Cite this

Aziz, F., Law, E. L.-C., Li, L., & Chen, S. (2025). Inclusive AI-Driven Music Chatbots for Older Adults. In L. Zaina, J. C. Campos, D. Spano, K. Luyten, P. Palanque, G. van der Veer, A. Ebert, S. R. Humayoun, & V. Memmesheimer (Eds.), Engineering Interactive Computer Systems. : EICS 2024 International Workshops, Revised Selected Papers (pp. 74-93). (Lecture Notes in Computer Science; Vol. 15518 LNCS). Springer, Cham.. https://doi.org/10.1007/978-3-031-91760-8_6

Aziz, Farkhandah ; Law, Effie L.-C. ; Li, Li et al. / Inclusive AI-Driven Music Chatbots for Older Adults. Engineering Interactive Computer Systems. : EICS 2024 International Workshops, Revised Selected Papers. editor / Luciana Zaina ; José Creissac Campos ; Davide Spano ; Kris Luyten ; Philippe Palanque ; Gerrit van der Veer ; Achim Ebert ; Shah Rukh Humayoun ; Vera Memmesheimer. Springer, Cham., 2025. pp. 74-93 (Lecture Notes in Computer Science).

@inproceedings{fdaa3ba0b8be4fd4aaaac6cdfa0482ec,

title = "Inclusive AI-Driven Music Chatbots for Older Adults",

abstract = "Today, chatbots are commonly used for music, mainly targeting young people. These chatbots are tailored to the preferences of younger users, but they often overlook the usability challenges experienced by older adults. There is little research on adapting them for older adults. To address this, we conducted a survey with 100 older adults to understand their music preferences and requirements for a music chatbot. Then, we developed the music chatbot based on the human-centred design (HCD) principles while also incorporating LLMs and prompt engineering. We tested the music chatbot prototype with five older adults, who generally had positive feedback although trust and reliability remain a challenge. Moving forward, we aim to explore ways to make the music chatbot more inclusive based on unique preferences and needs of older adults.",

author = "Farkhandah Aziz and Law, \{Effie L.-C.\} and Li Li and Shuang Chen",

year = "2025",

month = may,

day = "30",

doi = "10.1007/978-3-031-91760-8\_6",

language = "English",

isbn = "9783031917592",

series = "Lecture Notes in Computer Science",

publisher = "Springer, Cham.",

pages = "74--93",

editor = "Luciana Zaina and Campos, \{Jos{\'e} Creissac\} and Davide Spano and Kris Luyten and Philippe Palanque and \{van der Veer\}, Gerrit and Achim Ebert and Humayoun, \{Shah Rukh\} and Vera Memmesheimer",

booktitle = "Engineering Interactive Computer Systems.",

note = "Engineering Interactive Computer Systems. : EICS 2024 International Workshops, EICS 2024 ; Conference date: 24-06-2024 Through 28-06-2024",

url = "https://eics.acm.org/2024/",

}

Aziz, F, Law, EL-C, Li, L & Chen, S 2025, Inclusive AI-Driven Music Chatbots for Older Adults. in L Zaina, JC Campos, D Spano, K Luyten, P Palanque, G van der Veer, A Ebert, SR Humayoun & V Memmesheimer (eds), Engineering Interactive Computer Systems. : EICS 2024 International Workshops, Revised Selected Papers. Lecture Notes in Computer Science, vol. 15518 LNCS, Springer, Cham., pp. 74-93, Engineering Interactive Computer Systems. , Cagliari, Italy, 24/06/24. https://doi.org/10.1007/978-3-031-91760-8_6

Inclusive AI-Driven Music Chatbots for Older Adults. / Aziz, Farkhandah; Law, Effie L.-C.; Li, Li et al.
Engineering Interactive Computer Systems. : EICS 2024 International Workshops, Revised Selected Papers. ed. / Luciana Zaina; José Creissac Campos; Davide Spano; Kris Luyten; Philippe Palanque; Gerrit van der Veer; Achim Ebert; Shah Rukh Humayoun; Vera Memmesheimer. Springer, Cham., 2025. p. 74-93 (Lecture Notes in Computer Science; Vol. 15518 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Inclusive AI-Driven Music Chatbots for Older Adults

AU - Aziz, Farkhandah

AU - Law, Effie L.-C.

AU - Li, Li

AU - Chen, Shuang

PY - 2025/5/30

Y1 - 2025/5/30

N2 - Today, chatbots are commonly used for music, mainly targeting young people. These chatbots are tailored to the preferences of younger users, but they often overlook the usability challenges experienced by older adults. There is little research on adapting them for older adults. To address this, we conducted a survey with 100 older adults to understand their music preferences and requirements for a music chatbot. Then, we developed the music chatbot based on the human-centred design (HCD) principles while also incorporating LLMs and prompt engineering. We tested the music chatbot prototype with five older adults, who generally had positive feedback although trust and reliability remain a challenge. Moving forward, we aim to explore ways to make the music chatbot more inclusive based on unique preferences and needs of older adults.

AB - Today, chatbots are commonly used for music, mainly targeting young people. These chatbots are tailored to the preferences of younger users, but they often overlook the usability challenges experienced by older adults. There is little research on adapting them for older adults. To address this, we conducted a survey with 100 older adults to understand their music preferences and requirements for a music chatbot. Then, we developed the music chatbot based on the human-centred design (HCD) principles while also incorporating LLMs and prompt engineering. We tested the music chatbot prototype with five older adults, who generally had positive feedback although trust and reliability remain a challenge. Moving forward, we aim to explore ways to make the music chatbot more inclusive based on unique preferences and needs of older adults.

UR - https://www.scopus.com/pages/publications/105007783750

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DO - 10.1007/978-3-031-91760-8_6

M3 - Conference contribution

SN - 9783031917592

T3 - Lecture Notes in Computer Science

SP - 74

EP - 93

BT - Engineering Interactive Computer Systems.

A2 - Zaina, Luciana

A2 - Campos, José Creissac

A2 - Spano, Davide

A2 - Luyten, Kris

A2 - Palanque, Philippe

A2 - van der Veer, Gerrit

A2 - Ebert, Achim

A2 - Humayoun, Shah Rukh

A2 - Memmesheimer, Vera

PB - Springer, Cham.

T2 - Engineering Interactive Computer Systems.

Y2 - 24 June 2024 through 28 June 2024

ER -

Aziz F, Law ELC, Li L, Chen S. Inclusive AI-Driven Music Chatbots for Older Adults. In Zaina L, Campos JC, Spano D, Luyten K, Palanque P, van der Veer G, Ebert A, Humayoun SR, Memmesheimer V, editors, Engineering Interactive Computer Systems. : EICS 2024 International Workshops, Revised Selected Papers. Springer, Cham. 2025. p. 74-93. (Lecture Notes in Computer Science). doi: 10.1007/978-3-031-91760-8_6

Inclusive AI-Driven Music Chatbots for Older Adults

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