Recognition: 1 theorem link
· Lean TheoremFrom Daily Song to Daily Self: Supporting Reflective Songwriting of Deaf and Hard-of-Hearing Individuals through Generative Music AI
Pith reviewed 2026-05-15 15:30 UTC · model grok-4.3
The pith
Ongoing songwriting with a generative AI system produces emotional growth in self-insight, emotion regulation, and self-care attitudes for Deaf and Hard-of-Hearing users.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
The central claim is that ongoing songwriting with SoulNote facilitated emotional growth across three dimensions: self-insight, emotion regulation, and everyday attitudes toward emotions and self-care. This outcome emerged from a user-centered process that included a design workshop, a preliminary study, and a multi-session diary study in which participants used the system repeatedly to build songs grounded in their personal experiences.
What carries the argument
SoulNote, a generative AI system that supports iterative songwriting by allowing users to refine and extend musical ideas across sessions based on personal input.
If this is right
- Songwriting can function as an extended music-based journaling practice that sustains emotional reflection beyond single sessions.
- Generative AI expands access to songwriting for users unfamiliar with it, enabling them to convey personal narratives over time.
- Creative expression supported by AI can be transformed into a daily practice of self-discovery and reflection for marginalized communities.
- Multi-session designs reveal emotional benefits that single-session evaluations miss.
Where Pith is reading between the lines
- Similar iterative AI tools could be tested for emotional support in other creative domains such as visual art or poetry for the same user group.
- Real-world deployment without study incentives might show different patterns of sustained use or different emotional outcomes.
- Incorporating explicit user controls over AI generation parameters could strengthen the observed benefits by reducing frustration with output variation.
Load-bearing premise
The multi-session diary study and participant self-reports isolate the effects of SoulNote from study participation itself, variations in AI output quality, or participants' prior interest in songwriting.
What would settle it
A follow-up study that measures the same emotional growth dimensions in a matched control group using non-AI journaling tools over the same number of sessions would show comparable gains if the claim is incorrect.
Figures
read the original abstract
The rapid advancement of generative AI (GenAI) is expanding access to songwriting, offering a new medium of self-expression for Deaf and Hard-of-Hearing (DHH) individuals. However, emerging technologies that support DHH individuals in expressing themselves through music have largely been evaluated in single-session settings and often fall short in helping users unfamiliar with songwriting convey personal narratives or sustain engagement over time. This paper explores songwriting as an extended, music-based journaling practice that supports sustained emotional reflection over multiple sessions. We introduce SoulNote, a GenAI system enabling DHH to engage in iterative songwriting. Grounded in user-centered design, including a design workshop, a preliminary study, and a multi-session diary study, our findings show that ongoing songwriting with \textit{SoulNote} facilitated emotional growth across three dimensions: self-insight, emotion regulation, and \revised{everyday attitudes toward emotions and self-care}. Overall, this work demonstrates how GenAI can support marginalized communities by transforming creative expression into a daily practice of self-discovery and reflection.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript introduces SoulNote, a generative AI system for iterative songwriting targeted at Deaf and Hard-of-Hearing (DHH) individuals. Grounded in a user-centered process (design workshop, preliminary study, and multi-session diary study), it claims that ongoing use of the system supports emotional growth across three dimensions: self-insight, emotion regulation, and everyday attitudes toward emotions and self-care, positioning songwriting as a sustained reflective practice.
Significance. If the causal claims hold, the work would meaningfully extend HCI and accessible computing by showing how GenAI can convert creative tools into daily self-reflection mechanisms for marginalized users, moving beyond single-session evaluations. It offers a concrete example of music-based journaling that could inform designs for sustained engagement and emotional support.
major comments (1)
- [Diary study] Diary study section (as described in abstract and methods): the design includes no control arm, no pre/post standardized emotional measures independent of the tool, and no reported stratification by prior songwriting experience. This leaves the attribution of the three emotional-growth dimensions to SoulNote vulnerable to confounds from study participation effects or pre-existing interest, directly weakening the central claim.
Simulated Author's Rebuttal
We thank the referee for their detailed review and valuable comments. We have carefully considered the concern about the diary study design and provide our response below. We believe the revisions will address the issues raised while preserving the integrity of our exploratory findings.
read point-by-point responses
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Referee: [Diary study] Diary study section (as described in abstract and methods): the design includes no control arm, no pre/post standardized emotional measures independent of the tool, and no reported stratification by prior songwriting experience. This leaves the attribution of the three emotional-growth dimensions to SoulNote vulnerable to confounds from study participation effects or pre-existing interest, directly weakening the central claim.
Authors: Thank you for highlighting this important methodological consideration. Our diary study was designed as a qualitative, exploratory investigation to understand how DHH users engage with SoulNote over multiple sessions in their daily lives, which is a key contribution given the scarcity of longitudinal studies in this area. We did not include a control arm or standardized measures because the focus was on capturing rich, contextual data on the songwriting process and its perceived impacts through diaries and interviews, rather than testing efficacy in a controlled manner. This choice was informed by the user-centered design process and the need to prioritize accessibility and participant burden for DHH individuals. Nevertheless, we recognize that this leaves room for alternative explanations, such as effects from participating in the study itself or participants' pre-existing motivations. In the revised manuscript, we will add a Limitations section that explicitly addresses these potential confounds, clarifies the qualitative nature of the evidence for the three dimensions, and discusses implications for future controlled studies. We will also ensure that participant demographics, including any information on prior songwriting experience, are fully reported in the Methods section. These revisions will strengthen the paper by providing a more balanced presentation of the results. revision: yes
Circularity Check
No significant circularity: empirical claims rest on user study data
full rationale
The paper presents findings from a user-centered design process including a workshop, preliminary study, and multi-session diary study. The central claim of emotional growth across three dimensions is attributed directly to qualitative analysis of participant self-reports rather than any mathematical derivation, fitted parameters renamed as predictions, or self-citation chains that reduce the result to its own inputs. No equations, uniqueness theorems, or ansatzes are invoked; the work is self-contained against external benchmarks of empirical HCI reporting.
Axiom & Free-Parameter Ledger
axioms (1)
- domain assumption Generative music AI can produce outputs that DHH users find suitable for personal songwriting and reflection
invented entities (1)
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SoulNote
no independent evidence
Reference graph
Works this paper leans on
-
[1]
Chadia Abras, Diane Maloney-Krichmar, Jenny Preece, et al. 2004. User-centered design.Bainbridge, W. Encyclopedia of Human-Computer Interaction. Thousand Oaks: Sage Publications37, 4 (2004), 445–456
work page 2004
-
[2]
K.Z. Altshuler and B. Sarlin. 1962.Deafness and Schizophrenia: Interrelation of Communication Stress, Maturation Lag and Schizophrenic Risk. publisher not identified. https://books.google.co.kr/books?id=iXk4HQAACAAJ
work page 1962
-
[3]
Robin Angelini, Katta Spiel, and Maartje De Meulder. 2025. Speculating Deaf Tech: Reimagining Technologies Centering Deaf People. InProceedings of the 2025 CHI Conference on Human Factors in Computing Systems. 1–18
work page 2025
- [4]
-
[5]
Baikie, Liesbeth Geerligs, and Kay Wilhelm
Karen A. Baikie, Liesbeth Geerligs, and Kay Wilhelm. 2012. Expressive writing and positive writing for participants with mood disorders: An online randomized controlled trial.Journal of Affective Disorders136, 3 (2012), 310–319. https: //doi.org/10.1016/j.jad.2011.11.032
-
[6]
Felicity Baker and Robert E. Krout. 2011. Collaborative peer lyric writ- ing during music therapy training: a tool for facilitating students’ reflec- tions about clinical practicum experiences.Nordic Journal of Music Ther- apy20, 1 (2011), 62–89. https://doi.org/10.1080/08098131.2010.486132 arXiv:https://doi.org/10.1080/08098131.2010.486132
-
[7]
F. Baker, A. Oldfield, L. Magill, T. Wigram, J. Kennelly, J. Tamplin, and E. Davies. 2005.Songwriting: Methods, Techniques and Clinical Applications for Music Therapy Clinicians, Educators and Students. Jessica Kingsley Publishers. https: //books.google.co.kr/books?id=0-hkY8uWiu4C
work page 2005
-
[8]
Felicity A. Baker and Raymond A. R. MacDonald. 2013. Flow, iden- tity, achievement, satisfaction and ownership during therapeutic song- writing experiences with university students and retirees.Musicae Sci- entiae17, 2 (2013), 131–146. https://doi.org/10.1177/1029864913476287 arXiv:https://doi.org/10.1177/1029864913476287
-
[9]
Felicity A Baker, Jeanette Tamplin, Nikki Rickard, Peter New, Jennie Ponsford, Chantal Roddy, and Young-Eun C Lee. 2018. Meaning making process and recovery journeys explored through songwriting in early neurorehabilitation: exploring the perspectives of participants of their self-composed songs through the interpretative phenomenological analysis.Frontie...
work page 2018
-
[10]
Felicity A Baker, Jeanette Tamplin, Nikki Rickard, Jennie Ponsford, Peter W New, and Young-Eun C Lee. 2019. A therapeutic songwriting intervention to promote reconstruction of self-concept and enhance well-being following brain or spinal cord injury: pilot randomized controlled trial.Clinical Reha- bilitation33, 6 (2019), 1045–1055. https://doi.org/10.117...
-
[11]
Daphne Bavelier, Matthew W.G. Dye, and Peter C. Hauser. 2006. Do deaf individuals see better?Trends in Cognitive Sciences10, 11 (2006), 512–518. https://doi.org/10.1016/j.tics.2006.09.006
-
[12]
Mohr, Michael Liut, Alex Mariakakis, Rachel Kornfield, and Joseph Jay Williams
Ananya Bhattacharjee, Sarah Yi Xu, Pranav Rao, Yuchen Zeng, Jonah Meyerhoff, Syed Ishtiaque Ahmed, David C. Mohr, Michael Liut, Alex Mariakakis, Rachel Kornfield, and Joseph Jay Williams. 2025. Perfectly to a Tee: Understanding User Perceptions of Personalized LLM-Enhanced Narrative Interventions. In Proceedings of the 2025 ACM Designing Interactive Syste...
-
[13]
Renaud Bougueng Tchemeube, Jeffrey John Ens, and Philippe Pasquier. 2022. Calliope: A Co-creative Interface for Multi-Track Music Generation. InProceed- ings of the 14th Conference on Creativity and Cognition(Venice, Italy)(C&C ’22). Association for Computing Machinery, New York, NY, USA, 608–611. https://doi.org/10.1145/3527927.3535200
-
[14]
Virginia Braun and Victoria Clarke. 2006. Using thematic analysis in psychology. Qualitative Research in Psychology3, 2 (2006), 77–101. https://doi.org/10.1191/ 1478088706qp063oa arXiv:https://doi.org/10.1191/1478088706qp063oa
-
[15]
Jean-Pierre Briot and François Pachet. 2020. Deep learning for music generation: challenges and directions.Neural Comput. Appl.32, 4 (Feb. 2020), 981–993. https://doi.org/10.1007/s00521-018-3813-6
-
[16]
K.E. Bruscia. 1998.Defining Music Therapy. Barcelona Publishers. https: //books.google.co.kr/books?id=KdomMQAACAAJ
work page 1998
-
[17]
Brian E Bunnell, Lynne S Nemeth, Leslie A Lenert, Nikolaos Kazantzis, Esther Deblinger, Kristen A Higgins, and Kenneth J Ruggiero. 2021. Barriers associated with the implementation of homework in youth mental health treatment and potential mobile health solutions.Cognitive therapy and research45, 2 (2021), 272–286
work page 2021
-
[18]
Belinda Chen and Danielle Keenan-Miller. 2021. How much therapy is enough? The dose–response effect and its moderators in a psychology training clinic. Journal of Clinical Psychology77, 1 (2021), 20–35. https://doi.org/10.1002/jclp. 23025 arXiv:https://onlinelibrary.wiley.com/doi/pdf/10.1002/jclp.23025
-
[19]
Lee Cheng. 2025. The impact of generative AI on school music education: Challenges and recommendations.Arts Education Policy Review126, 4 (2025), 255–262. https://doi.org/10.1080/10632913.2025.2451373
-
[20]
Young Sang Cho, Ga-Young Kim, Hye Yoon Seol, Eun Yeon Kim, and Il Joon Moon
-
[21]
Experiences With the University Admission Process and Educational Support Among Students With Cochlear Implants in South Korea.Clinical and Experimental Otorhinolaryngology14, 2 (2021), 185–191
work page 2021
-
[22]
Ryuhaerang Choi, Taehan Kim, Subin Park, Jennifer G. Kim, and Sung-Ju Lee
-
[23]
InProceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI ’25)
Private Yet Social: How LLM Chatbots Support and Challenge Eating Disorder Recovery. InProceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI ’25). Association for Computing Machinery, New York, NY, USA, Article 642, 19 pages. https://doi.org/10.1145/3706598.3713485
-
[24]
Youjin Choi, ChungHa Lee, Songmin Chung, Eunhye Cho, Suhyeon Yoo, and Jin-Hyuk Hong. 2025. Enhancing collaborative signing songwriting experience From Daily Song to Daily Self CHI ’26, April 13–17, 2026, Barcelona, Spain of the d/Deaf individuals.International Journal of Human-Computer Studies193 (2025), 103382. https://doi.org/10.1016/j.ijhcs.2024.103382
-
[25]
Youjin Choi, JaeYoung Moon, JinYoung Yoo, and Jin-Hyuk Hong. 2025. Exploring the Potential of Music Generative AI for Music-Making by Deaf and Hard of Hearing People. InProceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI ’25). Association for Computing Machinery, New York, NY, USA, Article 762, 20 pages. https://doi.org/10.11...
-
[26]
Youjin Choi, JaeYoung Moon, JinYoung Yoo, and Jin-Hyuk Hong. 2025. Un- derstanding the Potentials and Limitations of Prompt-based Music Generative AI. InProceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI ’25). Association for Computing Machinery, New York, NY, USA, Article 766, 15 pages. https://doi.org/10.1145/3706598.3713762
-
[27]
Johanna Czamanski-Cohen and Karen L. Weihs. 2023. The role of emotion processing in art therapy (REPAT) intervention protocol.Frontiers in Psychology Volume 14 - 2023 (2023). https://doi.org/10.3389/fpsyg.2023.1208901
-
[28]
Thomas A. Dalton and Robert E. Krout. 2006. The Grief Song-Writing Process with Bereaved Adolescents: An Integrated Grief Model and Mu- sic Therapy Protocol.Music Therapy Perspectives24, 2 (01 2006), 94–107. https://doi.org/10.1093/mtp/24.2.94 arXiv:https://academic.oup.com/mtp/article- pdf/24/2/94/3908490/24-2-94.pdf
-
[29]
Jesper Dammeyer. 2009. Psychosocial Development in a Danish Population of Children With Cochlear Implants and Deaf and Hard-of-Hearing Children. The Journal of Deaf Studies and Deaf Education15, 1 (09 2009), 50–58. https: //doi.org/10.1093/deafed/enp024 arXiv:https://academic.oup.com/jdsde/article- pdf/15/1/50/1136576/enp024.pdf
-
[30]
Tobias Davidsson and Frida J. M. Petersson. 2018. Towards an actor-oriented approach to social exclusion: a critical review of contemporary exclusion research in a Swedish social work context.European Journal of Social Work21, 2 (2018), 167–180. https://doi.org/10.1080/13691457.2017.1286297 arXiv:https://doi.org/10.1080/13691457.2017.1286297
- [31]
-
[32]
Prafulla Dhariwal, Heewoo Jun, Christine Payne, Jong Wook Kim, Alec Rad- ford, and Ilya Sutskever. 2020. Jukebox: A Generative Model for Music. arXiv:2005.00341 [eess.AS] https://arxiv.org/abs/2005.00341
work page internal anchor Pith review Pith/arXiv arXiv 2020
-
[33]
Sam Earle, Filippos Kokkinos, Yuhe Nie, Julian Togelius, and Roberta Raileanu
-
[34]
arXiv:2404.15538 [cs.GR] https://arxiv.org/abs/2404.15538
DreamCraft: Text-Guided Generation of Functional 3D Environments in Minecraft. arXiv:2404.15538 [cs.GR] https://arxiv.org/abs/2404.15538
-
[35]
Tuomas Eerola, Anders Friberg, and Roberto Bresin. 2013. Emotional expression in music: contribution, linearity, and additivity of primary musical cues.Frontiers in PsychologyVolume 4 - 2013 (2013). https://doi.org/10.3389/fpsyg.2013.00487
-
[36]
Jasmin Eickholt, Felicity A. Baker, and Imogen N. Clark. 2022. Posi- tive Psychology in Therapeutic Songwriting for People Living with Late- Life Depression—An Intervention Protocol.Brain Sciences12, 5 (2022),
work page 2022
- [37]
-
[38]
Nikolaj Fišer, Miguel Ángel Martín-Pascual, and Celia Andreu-Sánchez. 2025. Emotional impact of AI-generated vs. human-composed music in audiovisual media: A biometric and self-report study.PloS one20, 6 (2025), e0326498
work page 2025
-
[39]
Suyu Ge, Chunting Zhou, Rui Hou, Madian Khabsa, Yi-Chia Wang, Qifan Wang, Jiawei Han, and Yuning Mao. 2024. MART: Improving LLM Safety with Multi- round Automatic Red-Teaming. InProceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), Kevin Duh, ...
-
[40]
Gee, Vanessa Hawes, and Nicholas Alexander Cox
Kate A. Gee, Vanessa Hawes, and Nicholas Alexander Cox. 2019. Blue Notes: Using Songwriting to Improve Student Mental Health and Wellbeing. A Pilot Randomised Controlled Trial.Frontiers in PsychologyVolume 10 - 2019 (2019). https://doi.org/10.3389/fpsyg.2019.00423
-
[41]
Ester Goldblat and Tova Most. 2018. Cultural Identity of Young Deaf Adults with Cochlear Implants in Comparison to Deaf without Cochlear Implants and Hard-of-Hearing Young Adults.The Journal of Deaf Studies and Deaf Education23, 3 (03 2018), 228–239. https:// doi.org/10.1093/deafed/eny007 arXiv:https://academic.oup.com/jdsde/article- pdf/23/3/228/25011868...
-
[42]
Denise Grocke, Sidney Bloch, and David Castle. 2009. The Effect of Group Music Therapy on Quality of Life for Participants Living with a Severe and Enduring Mental Illness.Journal of Music Therapy46, 2 (07 2009), 90–104. https://doi.org/10.1093/jmt/46.2.90 arXiv:https://academic.oup.com/jmt/article- pdf/46/2/90/5330722/46-2-90.pdf
-
[43]
A. Hackmann, J. Bennett-Levy, and E.A. Holmes. 2011.Oxford Guide to Imagery in Cognitive Therapy. OUP Oxford. https://books.google.co.kr/books?id= ngajYg3K8I8C
work page 2011
-
[44]
Claire Henderson, Emily Robinson, Sara Evans-Lacko, and Graham Thornicroft
-
[45]
https://doi.org/10.1192/bjp.bp.116
Relationships between anti-stigma programme awareness, disclosure comfort and intended help-seeking regarding a mental health problem.British Journal of Psychiatry211, 5 (2017), 316–322. https://doi.org/10.1192/bjp.bp.116. 195867
-
[46]
Xiao Hu and J. Stephen Downie. 2010. Improving mood classification in music digital libraries by combining lyrics and audio. InProceedings of the 10th Annual Joint Conference on Digital Libraries(Gold Coast, Queensland, Australia)(JCDL ’10). Association for Computing Machinery, New York, NY, USA, 159–168. https: //doi.org/10.1145/1816123.1816146
-
[47]
Jui-Wei Huang, Yan-Ming Chen, and Chuang-Wen You. 2024. Music Diary: Using ChatGPT to Craft Interactive Diaries with Emotional Music for Reflection and Sharing Real-life Emotions. InCompanion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing(Melbourne VIC, Australia) (UbiComp ’24). Association for Computing Machinery,...
- [48]
- [49]
-
[50]
Eunkyung Jo, Yuin Jeong, Sohyun Park, Daniel A. Epstein, and Young-Ho Kim
-
[51]
Understanding the Impact of Long-Term Memory on Self-Disclosure with Large Language Model-Driven Chatbots for Public Health Intervention. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (Honolulu, HI, USA)(CHI ’24). Association for Computing Machinery, New York, NY, USA, Article 440, 21 pages. https://doi.org/10.1145/361390...
-
[52]
Monica Kennison, Connie Lamb, Judy Ponder, Lisa Turner, Aryn C Karpinski, and Laura C Dzurec. 2019. Expressive writing: a self-care intervention for first year undergraduates.Building Healthy Academic Communities Journal3, 1 (2019), 44–55
work page 2019
-
[53]
Kim, Hwajung Hong, and Karrie Karahalios
Jennifer G. Kim, Hwajung Hong, and Karrie Karahalios. 2018. Understanding Identity Presentation in Medical Crowdfunding. InProceedings of the 2018 CHI Conference on Human Factors in Computing Systems(Montreal QC, Canada) (CHI ’18). Association for Computing Machinery, New York, NY, USA, 1–12. https://doi.org/10.1145/3173574.3173708
-
[54]
Taewan Kim, Seolyeong Bae, Hyun Ah Kim, Su-Woo Lee, Hwajung Hong, Chanmo Yang, and Young-Ho Kim. 2024. MindfulDiary: Harnessing Large Language Model to Support Psychiatric Patients’ Journaling. InProceedings of the 2024 CHI Conference on Human Factors in Computing Systems(Honolulu, HI, USA)(CHI ’24). Association for Computing Machinery, New York, NY, USA,...
-
[55]
Kurt Kroenke, Robert L. Spitzer, and Janet B. W. Williams. 2001. The PHQ-9.Journal of General Internal Medicine16, 9 (2001), 606–613. https://doi.org/10.1046/j.1525-1497.2001.016009606. x arXiv:https://onlinelibrary.wiley.com/doi/pdf/10.1046/j.1525- 1497.2001.016009606.x
-
[56]
Philippe Laban, Jesse Vig, Marti Hearst, Caiming Xiong, and Chien-Sheng Wu
-
[57]
Beyond the Chat: Executable and Verifiable Text-Editing with LLMs. InProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology(Pittsburgh, PA, USA)(UIST ’24). Association for Computing Machinery, New York, NY, USA, Article 20, 23 pages. https://doi.org/10.1145/ 3654777.3676419
-
[58]
Hannah R Lawrence, Renee A Schneider, Susan B Rubin, Maja J Matarić, Daniel J McDuff, and Megan Jones Bell. 2024. The Opportunities and Risks of Large Language Models in Mental Health.JMIR Ment Health11 (29 Jul 2024), e59479. https://doi.org/10.2196/59479
-
[59]
Mary Leamy, Victoria Bird, Clair Le Boutillier, Julie Williams, and Mike Slade
-
[60]
Conceptual framework for personal recovery in mental health: systematic review and narrative synthesis.The British journal of psychiatry199, 6 (2011), 445–452
work page 2011
-
[61]
ChungHa Lee, Youjin Choi, Songmin Chung, Eunhye Cho, and Jin-Hyuk Hong
-
[62]
Guaranteeing Equitable Musical Collaboration: Lessons Learned from the Music-Making Activities in Mixed-Hearing Groups.Proc. ACM Hum.-Comput. Interact.9, 2, Article CSCW091 (May 2025), 26 pages. https://doi.org/10.1145/ 3711113
work page 2025
-
[63]
Juhyeong Lee, Chul Young Yoon, Junhun Lee, Tae Hoon Kong, Seung Ha Oh, and Young Joon Seo. 2023. A situational analysis of ear and hearing care in South Korea using WHO ear and Hearing Care Situation Analysis tool.Frontiers in Public Health11 (2023), 1215556
work page 2023
-
[64]
Stephen J Lepore and Joshua M Smyth. 2002.The writing cure: How expressive writing promotes health and emotional well-being.American Psychological Association
work page 2002
-
[65]
Matthew D Lieberman, Naomi I Eisenberger, Molly J Crockett, Sabrina M Tom, Jennifer H Pfeifer, and Baldwin M Way. 2007. Putting feelings into words. Psychological science18, 5 (2007), 421–428. CHI ’26, April 13–17, 2026, Barcelona, Spain Choi et al
work page 2007
-
[66]
2022.Multi-modal Musical Interface For Deaf/HoH to Explore Creativity
Tony Lin. 2022.Multi-modal Musical Interface For Deaf/HoH to Explore Creativity. Ph. D. Dissertation. Ph., D. Dissertation. RMIT University
work page 2022
-
[67]
Di Liu, Jingwen Bai, Zhuoyi Zhang, Yilin Zhang, Zhenhao Zhang, Jian Zhao, and Pengcheng An. 2025. TherAIssist: Assisting Art Therapy Homework and Client-Practitioner Collaboration through Human-AI Interaction.Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.9, 3, Article 113 (Sept. 2025), 38 pages. https://doi.org/10.1145/3749497
-
[68]
Ryan Louie, Andy Coenen, Cheng Zhi Huang, Michael Terry, and Carrie J. Cai
-
[69]
Novice-AI Music Co-Creation via AI-Steering Tools for Deep Generative Models. InProceedings of the 2020 CHI Conference on Human Factors in Computing Systems(Honolulu, HI, USA)(CHI ’20). Association for Computing Machinery, New York, NY, USA, 1–13. https://doi.org/10.1145/3313831.3376739
-
[70]
Ryan Louie, Jesse Engel, and Cheng-Zhi Anna Huang. 2022. Expressive Commu- nication: Evaluating Developments in Generative Models and Steering Interfaces for Music Creation. InProceedings of the 27th International Conference on Intelli- gent User Interfaces(Helsinki, Finland)(IUI ’22). Association for Computing Ma- chinery, New York, NY, USA, 405–417. htt...
- [71]
- [72]
-
[73]
Lena Mamykina, Andrew D. Miller, Elizabeth D. Mynatt, and Daniel Greenblatt
-
[74]
Constructing identities through storytelling in diabetes management. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Atlanta, Georgia, USA)(CHI ’10). Association for Computing Machinery, New York, NY, USA, 1203–1212. https://doi.org/10.1145/1753326.1753507
-
[75]
Joseph A Maxwell. 2010. Using numbers in qualitative research.Qualitative inquiry16, 6 (2010), 475–482
work page 2010
-
[76]
Katrina McFerran, Felicity Baker, George C Patton, and Susan M Sawyer. 2006. A retrospective lyrical analysis of songs written by adolescents with anorexia nervosa.European Eating Disorders Review: The Professional Journal of the Eating Disorders Association14, 6 (2006), 397–403
work page 2006
-
[77]
Miner, Arnold Milstein, Stephen Schueller, Roshini Hegde, Christina Mangurian, and Eleni Linos
Adam S. Miner, Arnold Milstein, Stephen Schueller, Roshini Hegde, Christina Mangurian, and Eleni Linos. 2016. Smartphone-Based Conversational Agents and Responses to Questions About Mental Health, Interpersonal Violence, and Physical Health.JAMA Internal Medicine176, 5 (05 2016), 619–625. https: //doi.org/10.1001/jamainternmed.2016.0400
-
[78]
David C Mohr, Stephen M Schueller, William T Riley, C Hendricks Brown, Pim Cuijpers, Naihua Duan, Mary J Kwasny, Colleen Stiles-Shields, and Ken Cheung. 2015. Trials of Intervention Principles: Evaluation Methods for Evolving Behavioral Intervention Technologies.Journal of Medical Internet Research17, 7 (2015). https://doi.org/10.2196/jmir.4391
-
[79]
JaeYoung Moon, Youjin Choi, Jin-Hyuk Hong, and Kyung-Joong Kim. 2025. Sign Dance Maker: A Generative Ai-Assisted Framework for Inclusive Music Performance Support for Sign Language Interpreters.A vailable at SSRN 5245083 (2025)
work page 2025
-
[80]
Heinz, Ashmita Kunwar, Eunsol Soul Choi, Xuhai Xu, Joanna Kuc, Jeremy F
Subigya Nepal, Arvind Pillai, William Campbell, Talie Massachi, Michael V. Heinz, Ashmita Kunwar, Eunsol Soul Choi, Xuhai Xu, Joanna Kuc, Jeremy F. Huckins, Jason Holden, Sarah M. Preum, Colin Depp, Nicholas Jacobson, Mary P. Czerwinski, Eric Granholm, and Andrew T. Campbell. 2024. MindScape Study: Integrating LLM and Behavioral Sensing for Personalized A...
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