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Methods	
Analysis	of	the	Users’	PerspecGves	
Conclusion	
Abstract	
Smartwatch	ApplicaGons	for	Mental	Health:		
An	Exploratory	Analysis	on	the	Users’	PerspecGves	
Vivian	Moi	
vmoi@gmu.edu	
Department	of	InformaAon	Sciences	and	Technology	
George	Mason	University		
We	thank	Niloofar	Kalantari	for	her	support	with	data	collecAon	and	
analysis.	
This	 material	 is	 also	 based	 upon	 work	 supported	 by	 the	 NaAonal	
Science	 FoundaAon	 under	 Grant	 No.1314342.	 Any	 opinions,	
findings,	conclusions	or	recommendaAons	expressed	in	this	material	
are	those	of	the	author(s)	and	don't	necessarily	reflect	the	views	of	
the	NaAonal	Science	FoundaAon.	
Acknowledgment	
A growing number of smartwatch applica5ons have been
used to address mental health concerns. With an exploratory
analysis of users’ comments about ten Apple Watch
applica5ons, we iden5fied applica5ons that offer mul5modal
interven5ons for end users –combining audio, images and
vibra5on. Users benefit from these apps, considering them as
effec5ve for the interven5ons provided and enjoying the
customizable features. The most common complaints refer to
costs and unstable implementa5ons, with crashes, and bugs.
When allied to standard care prac5ces, wrist-worn applica5ons
have poten5al to support mental health, especially to assist
pa5ents with a con5nuous, low-cost, accessible and
personalized solu5on. Due to their poten5al to help in mental
health, smartwatch applica5ons have been used by a large
number of users as a coping mechanism to address mental
health concerns. There is s5ll room for inves5ga5on in this
domain, specially concerning how to ensure the efficacy of the
applica5ons, to warranty users’ privacy and to mi5gate risks
arising when healthcare shiJs to a pa5ent-centric solu5on.
References	
1.  Calvo,	R.	A.,	Dinakar,	K.,	Picard,	R.,	Christensen,	H.,	&	Torous,	J.	
(2018).	Toward	Impacrul	CollaboraAons	on	CompuAng	and	Mental	
Health.	Journal	of	Medical	Internet	Research,	20(2),	e49.	
2.  Calvo,	 R.	 A.,	 &	 D'Mello,	 S.	 (2010).	 Affect	 detecAon:	 An	
interdisciplinary	review	of	models,	methods,	and	their	applicaAons.	
IEEE	TransacAons	on	affecAve	compuAng,	1(1),	18-37.	
Background	
Lifestyle diseases con5nuously rise, with aging, epidemics,
and life stressors altogether contribu5ng to a growing need
for solu5ons in mental health. Despite the inherent challenges
to bring compu5ng and mental health communi5es together
(Calvo et al., 2018), digital technologies, as web, mobile and
wearable solu5ons have poten5al to promote mental health,
and to address problems related to anxiety, stress, and
insomnia. Mobile solu5ons aid stakeholders to understand
behavior paTerns and correla5ons (Calvo, 2010), besides also
informing and improving standard care prac5ces.
Calm	 Digipill	 Headspace	 Omvana	
Guided medita5on, sleep
stories, breathing, music,
mindfulness, it aims at
improved clarity, joy, peace,
sleep, and reduced anxiety 
(900k downloads)
Provides mindfulness,
hypnosis ‘pills’, narra5ve
medita5on, deep relaxa5on
to improve mo5va5on
(9k downloads)
Provides music, focus,
breathe, relaxa5on, guided
medita5on and mindfulness
features 
(600k downloads)
Fo c u s e s o n te a c h i n g
personal medita5on and
mindfulness using music,
and personalized prac5ces 
(7k downloads)
	
	
	
	
	
	
We selected 240 apps from iTunes categorized as ‘Health &
Fitness’. The search was conducted in January 2018, and 34
applica5ons related to mental health were retrieved. Among
those only 10 had a watch version. Ten reviews were
extracted for qualita5ve analysis of the text contents. A
sen5ment analysis was conducted, to code the users’ reviews
and to iden5fy the benefits and drawbacks of the apps. We
also extracted the users’ profiles and features used.
Relax	
MeditaGon	
Relax	
Melodies	
Relax	Yoga	
Music	 White	Noise	
Guides a medita5on session
to increase quality of life,
improve focus, produc5vity
and sleep 
(60k downloads)
Offers relaxa5on for sleep
control, by combining and
playing a set of melodies,,
fan and white noise(200k
downloads)
Delivers ambient nature
sounds, combine sounds,
create mixes, medita5ons,
relaxa5on, breathe 
(10k downloads)

Provides recorded sounds to
help sleep, create sound
mixes, favorite sounds,
nature images, 5mer, alarm
(50k downloads)

	
	
	
	
	
Results	
The apps analyzed offer mul5ple features, including:
breathing, guided medita5on and mindfulness, relaxa5on for
sleep control, sounds, and white noise. Among 50 reviews
analyzed: 31 were nega5ve, 14 were posi5ve, and 6 were
neutral. The benefits were linked to customizable audio,
effec5veness, usefulness, and the main drawbacks were
related to cost, unstable implementa5ons, and baTery drain. 
Users	
Symptoms	and	
CondiGons	
• Insomnia, stress,
anxiety, depression,
ac5ve mind 
• Tinnitus, ADHD
• ‘I have ADHD,
depression and
anxiety, and I am a
full-:me working
single mom’
SituaGonal	
Impairments	
• To recovery from a
surgery, sore muscles,
• To mask external
noise
• ‘I work in a noisy
office that I’ve not
been able to block out
and this app has
saved my sanity.’)
Features	
ConcentraGon	
• ‘I use it mainly to
concentrate’
RelaxaGon	
• ‘App is great for
relaxing’
Sleep	
• ‘This app has been the
greatest giF to help
me SLEEP!’
MeditaGon	
• ‘It helps me meditate
and calm my mind of
it's worried before I
rest’
Benefits	
Sound	CustomizaGon	
• ‘ I can individually
adjust the sounds and
the volume of each.
I’m hard of hearing so
this is actually a big
deal to me’
Ease	of	use	and	
IntuiGve	
• Simple naviga5on,
beau5ful design and
colors
Content	Updates	
• ‘There's an impressive
number of new
medita:ons’
Drawbacks	
Unstable	
ImplementaGons	
• Bugs and crashes due
to incompa5bility and
upgrades in the apps
BaVery	and	Overheat	
• ‘The app is draining
my phone of its
baNery’
Costs	
• ‘I can't see paying 20
dollars (down from 35
dollars?!?!?) for
life:me access’
Limited	SeXngs	
• ‘but just have in
English ’
• ‘ I couldn't get it to
stop playing’

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Smartwatch Applications for Mental Health: A Qualitative Analysis of Users’ Perspectives

  • 1. Methods Analysis of the Users’ PerspecGves Conclusion Abstract Smartwatch ApplicaGons for Mental Health: An Exploratory Analysis on the Users’ PerspecGves Vivian Moi vmoi@gmu.edu Department of InformaAon Sciences and Technology George Mason University We thank Niloofar Kalantari for her support with data collecAon and analysis. This material is also based upon work supported by the NaAonal Science FoundaAon under Grant No.1314342. Any opinions, findings, conclusions or recommendaAons expressed in this material are those of the author(s) and don't necessarily reflect the views of the NaAonal Science FoundaAon. Acknowledgment A growing number of smartwatch applica5ons have been used to address mental health concerns. With an exploratory analysis of users’ comments about ten Apple Watch applica5ons, we iden5fied applica5ons that offer mul5modal interven5ons for end users –combining audio, images and vibra5on. Users benefit from these apps, considering them as effec5ve for the interven5ons provided and enjoying the customizable features. The most common complaints refer to costs and unstable implementa5ons, with crashes, and bugs. When allied to standard care prac5ces, wrist-worn applica5ons have poten5al to support mental health, especially to assist pa5ents with a con5nuous, low-cost, accessible and personalized solu5on. Due to their poten5al to help in mental health, smartwatch applica5ons have been used by a large number of users as a coping mechanism to address mental health concerns. There is s5ll room for inves5ga5on in this domain, specially concerning how to ensure the efficacy of the applica5ons, to warranty users’ privacy and to mi5gate risks arising when healthcare shiJs to a pa5ent-centric solu5on. References 1.  Calvo, R. A., Dinakar, K., Picard, R., Christensen, H., & Torous, J. (2018). Toward Impacrul CollaboraAons on CompuAng and Mental Health. Journal of Medical Internet Research, 20(2), e49. 2.  Calvo, R. A., & D'Mello, S. (2010). Affect detecAon: An interdisciplinary review of models, methods, and their applicaAons. IEEE TransacAons on affecAve compuAng, 1(1), 18-37. Background Lifestyle diseases con5nuously rise, with aging, epidemics, and life stressors altogether contribu5ng to a growing need for solu5ons in mental health. Despite the inherent challenges to bring compu5ng and mental health communi5es together (Calvo et al., 2018), digital technologies, as web, mobile and wearable solu5ons have poten5al to promote mental health, and to address problems related to anxiety, stress, and insomnia. Mobile solu5ons aid stakeholders to understand behavior paTerns and correla5ons (Calvo, 2010), besides also informing and improving standard care prac5ces. Calm Digipill Headspace Omvana Guided medita5on, sleep stories, breathing, music, mindfulness, it aims at improved clarity, joy, peace, sleep, and reduced anxiety (900k downloads) Provides mindfulness, hypnosis ‘pills’, narra5ve medita5on, deep relaxa5on to improve mo5va5on (9k downloads) Provides music, focus, breathe, relaxa5on, guided medita5on and mindfulness features (600k downloads) Fo c u s e s o n te a c h i n g personal medita5on and mindfulness using music, and personalized prac5ces (7k downloads) We selected 240 apps from iTunes categorized as ‘Health & Fitness’. The search was conducted in January 2018, and 34 applica5ons related to mental health were retrieved. Among those only 10 had a watch version. Ten reviews were extracted for qualita5ve analysis of the text contents. A sen5ment analysis was conducted, to code the users’ reviews and to iden5fy the benefits and drawbacks of the apps. We also extracted the users’ profiles and features used. Relax MeditaGon Relax Melodies Relax Yoga Music White Noise Guides a medita5on session to increase quality of life, improve focus, produc5vity and sleep (60k downloads) Offers relaxa5on for sleep control, by combining and playing a set of melodies,, fan and white noise(200k downloads) Delivers ambient nature sounds, combine sounds, create mixes, medita5ons, relaxa5on, breathe (10k downloads) Provides recorded sounds to help sleep, create sound mixes, favorite sounds, nature images, 5mer, alarm (50k downloads) Results The apps analyzed offer mul5ple features, including: breathing, guided medita5on and mindfulness, relaxa5on for sleep control, sounds, and white noise. Among 50 reviews analyzed: 31 were nega5ve, 14 were posi5ve, and 6 were neutral. The benefits were linked to customizable audio, effec5veness, usefulness, and the main drawbacks were related to cost, unstable implementa5ons, and baTery drain. Users Symptoms and CondiGons • Insomnia, stress, anxiety, depression, ac5ve mind • Tinnitus, ADHD • ‘I have ADHD, depression and anxiety, and I am a full-:me working single mom’ SituaGonal Impairments • To recovery from a surgery, sore muscles, • To mask external noise • ‘I work in a noisy office that I’ve not been able to block out and this app has saved my sanity.’) Features ConcentraGon • ‘I use it mainly to concentrate’ RelaxaGon • ‘App is great for relaxing’ Sleep • ‘This app has been the greatest giF to help me SLEEP!’ MeditaGon • ‘It helps me meditate and calm my mind of it's worried before I rest’ Benefits Sound CustomizaGon • ‘ I can individually adjust the sounds and the volume of each. I’m hard of hearing so this is actually a big deal to me’ Ease of use and IntuiGve • Simple naviga5on, beau5ful design and colors Content Updates • ‘There's an impressive number of new medita:ons’ Drawbacks Unstable ImplementaGons • Bugs and crashes due to incompa5bility and upgrades in the apps BaVery and Overheat • ‘The app is draining my phone of its baNery’ Costs • ‘I can't see paying 20 dollars (down from 35 dollars?!?!?) for life:me access’ Limited SeXngs • ‘but just have in English ’ • ‘ I couldn't get it to stop playing’