Examining Personalized Explainable Recommendations that Support College Students on Stress Management

Mamatha Putta; Jomara Sandbulte

doi:10.1007/978-3-031-95571-6_5

Examining Personalized Explainable Recommendations that Support College Students on Stress Management

Mamatha Putta
, Jomara Sandbulte

Computer Science (Duluth)

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

1 Scopus citations

Abstract

College students face many challenges, including life transitions and academic and social stressors, which can impact their overall well-being. Digital mental health (DMH) tools can assist in managing these stressors through self-tracking approaches that collect personal data and provide insights into health status. However, to effectively help individuals to manage stress, it is crucial to offer direct guidance on actionable steps for change. To explore this domain, we developed a system with an automated recommendation feature as a technology probe to investigate how personalized health recommendations can support college students in stress management. We conducted a user study with 20 college students to learn from their experiences. Our analysis reveals participants’ insights on the effectiveness of recommendations in motivating self-care and the benefits of using personalized recommendations to guide individual actions. Based on our findings, we discuss strategies and design implications to further support college students in managing stress.

Original language	English (US)
Title of host publication	IoT Technologies and Wearables for HealthCare - 5th EAI International Conference, HealthWear 2024, Proceedings
Editors	Utku Kose, Jafar Alzubi
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	59-84
Number of pages	26
ISBN (Print)	9783031955709
DOIs	https://doi.org/10.1007/978-3-031-95571-6_5
State	Published - 2025
Event	5th EAI International Conference on Wearables in Healthcare, HealthWear 2024, - Virtual, Online Duration: Dec 2 2024 → Dec 3 2024

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume	639 LNICST
ISSN (Print)	1867-8211
ISSN (Electronic)	1867-822X

Conference

Conference	5th EAI International Conference on Wearables in Healthcare, HealthWear 2024,
City	Virtual, Online
Period	12/2/24 → 12/3/24

Bibliographical note

Publisher Copyright:
© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2025.

Keywords

College Students
Explanation
Personalized Recommendations
Stress Management
Technology Probe
User Study
Wearable

Publisher link

10.1007/978-3-031-95571-6_5

Find It

Find It at U of M Libraries

Cite this

Putta, M., & Sandbulte, J. (2025). Examining Personalized Explainable Recommendations that Support College Students on Stress Management. In U. Kose, & J. Alzubi (Eds.), IoT Technologies and Wearables for HealthCare - 5th EAI International Conference, HealthWear 2024, Proceedings (pp. 59-84). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 639 LNICST). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-95571-6_5

Examining Personalized Explainable Recommendations that Support College Students on Stress Management. / Putta, Mamatha; Sandbulte, Jomara.
IoT Technologies and Wearables for HealthCare - 5th EAI International Conference, HealthWear 2024, Proceedings. ed. / Utku Kose; Jafar Alzubi. Springer Science and Business Media Deutschland GmbH, 2025. p. 59-84 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 639 LNICST).

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

Putta, M & Sandbulte, J 2025, Examining Personalized Explainable Recommendations that Support College Students on Stress Management. in U Kose & J Alzubi (eds), IoT Technologies and Wearables for HealthCare - 5th EAI International Conference, HealthWear 2024, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 639 LNICST, Springer Science and Business Media Deutschland GmbH, pp. 59-84, 5th EAI International Conference on Wearables in Healthcare, HealthWear 2024, Virtual, Online, 12/2/24. https://doi.org/10.1007/978-3-031-95571-6_5

Putta M, Sandbulte J. Examining Personalized Explainable Recommendations that Support College Students on Stress Management. In Kose U, Alzubi J, editors, IoT Technologies and Wearables for HealthCare - 5th EAI International Conference, HealthWear 2024, Proceedings. Springer Science and Business Media Deutschland GmbH. 2025. p. 59-84. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). doi: 10.1007/978-3-031-95571-6_5

Putta, Mamatha ; Sandbulte, Jomara. / Examining Personalized Explainable Recommendations that Support College Students on Stress Management. IoT Technologies and Wearables for HealthCare - 5th EAI International Conference, HealthWear 2024, Proceedings. editor / Utku Kose ; Jafar Alzubi. Springer Science and Business Media Deutschland GmbH, 2025. pp. 59-84 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).

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