Impact of Technology on Various Aspects of Human Life During Covid-19 Pandemic: A Survey

Abstract

The present study was conducted to examine the impact of technology on different aspects of human life during the covid-19 pandemic. Data from 212 people were collected using a survey. Majority of participants were males 59.4%, unmarried 64.2%, within the age group (21-29) 44.8%, post graduate 42.9% and students 40.6%. The results showed that there was a drastic increase in screen time during the pandemic. Further, the participants found technology useful in connecting with people and in maintaining their physical and mental well-being, but their relations were affected due to excessive use of technology. Participants had also found technology useful in continuing work or studies from online mode and in keeping skills up to date. This study has helped us understand how technology is affecting our life, when we ourselves are under the constraints put on by the pandemic like uncertainty, social distancing, lockdowns and living under the confinements of home.

Full text

Impact of Technology on Various Aspects of Human Life
During Covid-19 Pandemic: A Survey
Subodh Kumar, Divye Kartikey and Tara Singh
ABSTRACT
The present study was conducted to examine the impact of technology on different
aspects of human life during the covid-19 pandemic. Data from 212 people were
collected using a survey. Majority of participants were males 59.4%, unmarried
64.2%, within the age group (21-29) 44.8%, post graduate 42.9% and students 40.6%.
The results showed that there was a drastic increase in screen time during the
pandemic. Further, the participants found technology useful in connecting with
people and in maintaining their physical and mental well-being, but their relations
were affected due to excessive use of technology. Participants had also found
technology useful in continuing work or studies from online mode and in keeping
skills up to date. This study has helped us understand how technology is affecting
our life, when we ourselves are under the constraints put on by the pandemic like
uncertainty, social distancing, lockdowns and living under the confinements of
home.
Keywords: Technology, COVID-19, Pandemic, Well-being.
INTRODUCTION
COVID-19 has been spreading worldwide since November, 2019 and millions have
lost their life until now. To mitigate the catastrophic effects of COVID-19, all the countries
are taking essential steps from the starting like physical distancing, quarantine, contact
tracing and lockdowns. Amid all this, one thing that has empowered humanity’s fight
against COVID-19 pandemic is the use of technologies which have become an integral
part of our lives. In such a time when we are heavily relying on technology for our
daily activities, it is natural that we are also getting influenced by it.
Journal of Psychosocial Research
Vol. 16, No. 1, 2021, 127-142
DOI No. : https://doi.org/10.32381/JPR.2021.16.01.12
Corresponding author. Email : bhu.subodh@gmail.com, divyekartikey21591@gmail.com, tarasingh.bu@gmail.com
ISSN 0973-5410 print/ISSN 0976-3937 online
©2021 Dr. H. L. Kaila
http//www.printspublications.com

Subodh Kumar, Divye Kartikey and Tara Singh
J. Psychosoc. Res.
128
Previous studies have already investigated the association between COVID-19 pandemic
and different aspects of life. Ketchell, M. (2020) studied about working from home which
reports that many participants felt either there should be a balance between work from
home and work from office or only a minority of work should be done from home. Participants
also reported that working from home gives them less connectivity with their colleagues
and more isolation. Women especially found less time for work from home due to additional
responsibilities of managing household. Kramer, A., & Kramer, K. Z. (2020) reported that it
is important for employers to find which employee or type of work is better suited for work
from home. Some employees might be better apt for work from home than others, according
to their respective personality, preferences and productivity.
A Study in Italy has highlighted the problems arising out of overuse of digital
technology among children and adolescents due to COVID-19 restrictions and
lockdowns, children were neglected by parents who themselves were anxious to make
their family ends meet. Unguarded by parents, children and adolescents became
vulnerable to depression and anxiety (Cellini, N., et al., 2020)
It was also found that there was an increase in time spent on digital media before
going to bed at night which is causing disturbance in the sleep wake cycle and thus bad
quality of sleep. This pattern was reported mainly in people with high stress levels
suffering from anxiety and depression (Cellini, N., et al., 2020).
Larson, H.J., et al., (2020) reported that there was a positive association between
the public trust in the healthcare system and health policy makers with the acceptance
of vaccines. People are more likely to take vaccines if they have trust in the healthcare
system and government.
In a study by Elsobeihi, M., & Abu-Naser, S. (2017), it was found that participants
felt that their relationships were getting negatively affected due to mobile phones.
In particular, there is inadequate investigation of the various aspects of life which
might have been affected during COVID-19 pandemic. Such analysis can contribute to
effective provisions in a future pandemic. Thus, to investigate the impact of the pandemic
on various aspects of life and to suggest how public policies might be formulated to
deal with the crisis, we conducted this study.
The purpose of this research was to investigate 1) the impact of the pandemic on various
aspects of life, 2) how people responded, and 3) and their expectations for the future.
METHODS
Questionnaire development
The self developed questionnaire after thorough review of literatures related to impact

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of technology on various aspects of human life during covid-19 pandemic was used to
know the pattern of technology usage by participants and the extent to which they were
affected by it during COVID-19 pandemic. Questionnaire was designed using google
forms and in total there were 28 questions in the survey. Questions were divided into
various categories like demographic details, effect of technology on relationships, mental
and physical well-being during the pandemic, public trust in science, vaccine development
and data privacy, impact of technology on work from home or learning from home,
effect of extensive use of technology and social media among people during pandemic.
Participants and Data collection
In this online survey (Dec, 2020 - Jan, 2021), 212 people from Delhi NCR and Uttar
Pradesh, India participated and shared their experience of how their lives are getting
affected due to use of technology during COVID-19 pandemic. The survey
questionnaire was shared on WhatsApp, Email and Facebook with information about
the purpose of the survey. This survey was comprehensive in finding the impact of
technology during COVID-19 on various aspects of life. The responses were collected
on Likert 5 points scale (1. Not at all, 2. To some extent, 3. To a moderate extent, 4.
To a great extent and 5. To a very great extent) and 3 points scales (1. Yes, 2. No, and
3. Maybe).
People from different age groups, educational and professional backgrounds
participated in our survey. The Sociodemographic details of the participants are
mentioned in Table 1.
Table 1
Sociodemographic characteristics of participants
Sociodemographic characteristics n %
Gender
Male 126 59.4
Female 86 40.6
Marital status
Married 72 34.0
Unmarried 136 64.2
Divorced 2 0.9
Widowed 2 0.9

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Age Groups
18-20 53 25.0
21-29 95 44.8
30-39 45 21.2
40-49 09 4.2
50-59 08 3.8
60 or older 02 0.9
Education
High school 22 10.4
Diploma 6 2.8
Graduate 89 42.0
Post graduate 91 42.9
Ph.D. 4 1.9
Profession
Advocate/ Lawyer 17 8.0
Banker 09 4.2
Doctor 11 5.2
Engineer 36 17.0
Homemaker 13 6.1
Self-employed 15 7.1
Student 86 40.6
Teacher 25 11.8
Data processing and analysis
The data was entered into Excel for documentation. The data was analyzed using
statistical software SPSS (version 20.0). Continuous variables were presented in the
form of mean (±sd) and categorical variables were presented as number (%). Pearson
correlation was used to find the correlation between continuous variables according

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Table 2
Responses for the questions SQ1-SQ7
Level of Extent Questions
SQ1 SQ2 SQ3 SQ4 SQ5 SQ6 SQ7
N% N%N%N%N% N%N%
1. Not at all 5 2. 4 24 11.3 1 4 6.6 8 3.8 6 2.6 22 10.4 6 2.8
2. To some extent 15 7 .1 3 9 18.4 32 15.1 24 11.3 34 16 4 8 22.6 33 15.6
3. To a moderate 41 19.3 83 39.2 62 29.2 42 19.8 70 33 39 18.4 62 29.2
extent
4. To a great 11 1 52.4 45 21.2 69 32.5 88 41.5 75 35.4 54 25.5 82 38.7
extent
5. To a very 40 18.9 21 9.9 35 16.5 50 23.6 27 12.7 49 23.1 2 9 13.7
great extent
Mean 3.78 3.00 3.37 3.70 3.39 3.28 3.45
SD 0.913 1.119 1.126 1.068 0.994 1.322 1.003
to distribution of the data. A p value less than 0.05 was considered as statistically
significant. Descriptive statistics of demographic characteristics of the sample and each
item of questions were employed to summarize the data.
RESULTS AND DISCUSSION
Demographic characteristics of the sample
A total of 212 participants from different states of India participated in our online
survey. Majority of respondents were males 59.4% (n=129), unmarried 64.2% (n=136),
44.8% (n=95) with age group 21-29, post graduate 42.9% (n=92) and students 40.6%
(n=86). Socio-demographic details of participants by gender, marital status, age group,
education and profession are shown in Table 1.
SQ1. Extent to which technology was helpful in connecting with people during the
pandemic
52.4% (n=111) of participants had reported that technology was useful in connecting
with people during the pandemic to a great extent, 19.3% (n=41) participants to a
moderate extent, 18.9% (n=40) participants to a very great extent and only 2.4% (n=5)
participants reported that technology was not at all helpful in connecting with people
during the pandemic. The mean score of the responses is 3.78 (SD=0.913) which indicates that
participants found technology helpful in connecting with people to a great extent.

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SQ2. Extent to which technology was helpful for physical and mental well-being
during pandemic
39.2% (n=83) participants reported that technology helped them in maintaining physical
and mental well-being to a moderate extent, 21.2% (n=45) to a great extent and only
11.3% (n=24) participants reported that technology did not help them at all in maintaining
physical and mental well-being during the pandemic. The mean score for this question was
3 (SD= 1.119) which indicates that technology helped the participants in maintaining physical
and mental health to a moderate extent.
SQ3. Using technology to access essential services like tele-health and food delivery
during the pandemic
32.5% (n=69) participants reported that technology has helped them access essential
services like tele-health and food delivery to a great extent, 29.2% (n=62) to a moderate
extent and 16.5% (n=35) to a very great extent. Only 6.6 %(n=14) participants reported
that technology did not help them at all. The mean score for this response is 3.37 (SD=
1.126) which indicates that overall participants found technology moderately useful in accessing
the essential services.
SQ4. Use of technology in keeping pace with office work/ teaching/ learning during
the pandemic
41.5% (n=88) participants reported that technology helped them keep pace with office
work/teaching/learning to a great extent and 23.6% (n=50) to a very great extent.
Only 3.8% (n=8) participants reported that technology did not help them at all. The
mean score for this response is 3.70 (SD=1.068) which indicates that overall participants found
technology useful to a great extent.
SQ5. Extent to which technology was helpful in keeping skills up to date during
pandemic
35.4% (n= 75) participants reported that technology was helpful in keeping skills up to
date to a great extent, 33% (n=70) to a moderate extent and 12.7% (n=27) to a very
great extent. Only 2.8% (n=6) participants reported that technology did not help them
at all. The mean score for this response is 3.39 (SD= .994) which indicates that overall participants
found technology useful to a moderate extent in keeping their skills up to date.
SQ6. Eagerness to resume work from a physical environment like offices and
classrooms
25.5% (n=54) participants are eager to resume their work from a physical environment
like offices and classrooms to a great extent, 23.1% (n=49) are eager up to a very great
extent and 18.4% (n=39) participants are eager up to moderate extent. Only 10.4%

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(n=22) participants are not at all eager to resume their work from a physical environment.
The mean score for this response is 3.28 (SD= 1.322), which indicates overall participants are
eager to resume their work from the physical environment of offices and classrooms.
SQ7. Public trust on science and technology to fight against COVID-19 pandemic
38.7%(n=82) participants have reported that they have trust on the ability of science
and technology to mitigate COVID-19 pandemic to a great extent, 13.7 % (n=29) to a
very great extent and 29.2% (n=62) to a moderate extent. Only 2.8% (n=6) participants
have reported that they have no trust in the ability of science and technology to
mitigate COVID-19 pandemic at all. The mean score for this response is 3.45 (SD= 1.003)
which indicates that overall participants have trust on the ability of science and technology to
mitigate COVID-19 pandemic.
Table 3
Responses for the questions SQ8-SQ16
Expense Questions
SQ8 SQ9 SQ10 SQ11 SQ12 SQ13 SQ14 SQ15 SQ16
N %N% N % N% N% N% N % N %N %
1. Yes 159 75 110 51.9 2 9 13.7 154 72.6 11 2 52.8 136 64.2 3 2 15.1 14 7 69.3 11 5.2
2. No 2 7 12.7 5 0 23.6 14 9 70.3 37 17.5 43 20.3 57 26.9 12 1 57.1 2 4 11.3 179 84.4
3. Maybe 26 12.3 52 24.5 34 16.0 2 1 9.9 57 26.9 19 9.0 59 27.8 4 1 19.3 22 10.4
Mean 1.37 1.73 2.02 1.37 1.74 1.45 2.13 1.50 2.05
SD 0.694 0.832 0.546 0.659 0.856 0.655 0.644 0.800 0.392
SQ8. Is physical environment more helpful than online environment for working/
studying
75% (n=159) participants reported that a physical working environment is better than
an online working environment. Only 12.7% (n=27) participants did not agree with it.
The mean score for this response is 1.37 (SD= 0.694) which indicates overall participants
felt that the physical working environment is more helpful than in an online working
environment.
SQ9. Effect on relationships due to time spent online during the pandemic
51.9%(n=110) participants reported that their relationships got affected due to time spent
online during the pandemic, whereas only 23.6%(n=50) reported that their relationship
did not get affected due to time spent online. The mean score for this response is 1.73 (SD=0.832)
which indicates that overall relationships got affected due to too much time spent online.

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SQ10. Preference of meeting people online than in person
70.3% (n=149) participants reported that they would not prefer meeting people online
and rather meet people in person. Only, 13.7% (n=29) reported that they would prefer
meeting people online. The mean score for this response is 2.02 (SD= 0.546) which indicates
that overall participants want to interact with people in person during the pandemic.
SQ11. Effect of using technology on sleep time during the pandemic
72.6%(n=154) participants have reported that their sleep time was affected due to use
of technology during the pandemic. Only 17.5% (n=37) participants have reported no
effect on sleep time due to use of technology. The mean score for this response is 1.37 (SD
= 0.659) which indicates that overall sleep time of participants got affected due to overuse of
technology.
SQ12. Has decision making affected due to excessive online information
52.8%(n=112) participants have reported that their decision making got affected due
to excessive information online during the pandemic. Only 20.3% (n= 43) participants
have reported that their decision making was not affected. The mean score for this response
is 1.74 (SD= 0.856) which indicates that overall decision making of participants got affected due
to excessive online information.
SQ13. Willingness for digital detox during the pandemic
64.2%(n=136) participants reported that they are willing to do digital detox and only
26.9% (n=57) have reported that they do not want to digitally detox themselves. The
mean score for this response is 1.45 (SD= 0.655) which indicates that overall participants want to
digital detox themselves.
SQ14. Views on sharing personal information on online platforms is safe
57.1%(n=121) participants reported that they do not feel safe in sharing personal
information on online platforms during the pandemic. Only 15.1% (n=32) have reported
that they feel safe in sharing personal information on online platforms. The mean score
for this response is 2.13 (SD= 0.644) which indicates that overall participants do not feel safe in
sharing personal information.
SQ15. Willingness to take COVID-19 vaccine
69.3%(n=147) participants have reported that they are interested in taking COVID-19
vaccines and only 11.3%(n=24) participants have reported that they have no interest in
taking COVID-19 vaccine. The mean score for this response is 1.5 (SD=0.800) which indicates
that overall participants are interested in taking vaccines.

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SQ16. Willingness for living in an environment where people are replaced with
humanoid robots
84.4% (n=179) participants have reported that they do not want to live in an environment
where humans are replaced with humanoid robots. Only 5.2% (n=11) have reported
that they are interested in living with robots. The mean score for this response is 2.05
(SD= 0.392) which indicates that overall participants do not want to live in such an environment.
Table 4
Responses for the questions SQ17-SQ18
Response Questions
SQ17 SQ18
N%N%
1. Less than 2 hours 76 35.8 3 1.4
2. 2-5 hours 80 37.7 67 31.6
3. 5-8 hours 39 18.4 72 34.0
4. More than 8 hours 17 8.0 70 33.0
Mean 1.99 2.99
SD 0.931 0.840
SQ17. Time spent on technology before the pandemic
37.7% (n=80) participants reported that they spent 2-5 hours on technological devices
like laptop/smartphone before COVID-19 pandemic and 35.8% (n=76) reported less
than 2 hours. Only 18.4% (n=39) participants spent more than 8 hours. The mean score for
the response is 1.99 (SD= 0.931) which indicates that overall participants spent less time of
around 2-5 hours on technology before the pandemic.
SQ18. Time spent on technology during the pandemic
34% (n=72) participants reported that they spent 5-8 hours on technological devices
like laptop/smartphone during COVID-19 pandemic and 31.6% (n=67) reported less
than 2 hours. Also, 33% (n=70) participants have reported to have spent more than 8
hours. The mean score for this response is 2.99 (SD=0.840) which indicates that overall participants
spent 5-8 hours on technological devices during the pandemic.

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SQ19. Concern of parents on too much screen time of their children during the
pandemic
15.6% (n=33) participants reported that they are worried for their children spending
too much time online during the pandemic, 12.3% (n=26) reported concern for their
children. Only, 1.9% (n=4) participants reported no concern. The mean score for this response
is 4.22 (SD= 1.204) because many responded are either unmarried or do not have children.
CONCLUSION
Human beings have truly turned the crisis of COVID-19 pandemic into an opportunity
by devising innovative technologies to fight the pandemic. The measures to fight the
pandemic like social distancing will be a norm that will be there for some time into the
future. Technology has the central role in fighting the pandemic and humanity is using
this time of crisis to come up with new scientific and technological innovations. We
will have to rely more on technology like never before for our work and other
recreational activities. As technology will be used extensively on a daily basis, its
positive and negative impacts will be there on people.
During the pandemic, people have spent more time on laptops and smartphones
than before the pandemic. This is due to the fact that work was mostly done from
home. 67% of the participants of our survey were willing to resume work from a
physical environment which supports the findings of Ketchell, M. (2020) who had
reported that working from home gives people less connectivity with their colleagues
and more isolation. Although work from home has helped in continuing work during
the pandemic but it has its own demerits which make people feel isolated and
lonely.
Response SQ19
N%
1. Not Concerned 4 1.9
2. Concerned 26 12.3
3. Worried 33 15.6
4. Happy 6 2.8
5. Not Applicable 143 67.5
Mean 4.22
SD 1.204

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We found that although people have been using technology to connect with their
loved ones during the pandemic, but it is not the replacement of face to face meeting.This
human element is very well highlighted in answers of the survey where participants
have reported that they want to meet people in person more than on online
platforms.Answers have also highlighted that people would not like to live in an
environment where people are replaced with robots and drones. These findings very
well answer the question of why our societies are facing mental health issues despite
being surrounded by technology. Human relations manifests well when they have the
element of emotional bonding, physical proximity and care. Technological connectivity
cannot replace emotional connectivity.
On one hand technology is helping us to connect but on other hand it is affecting
our sleep time and relationships. This finding from our survey validates with the finding
of Cellini, N., et al., (2020) who had reported that spending too much time online
reduces the sleep of people, and with the finding of Elsobeihi, M., & Abu-Naser, S.
(2017) that too much use of technology like mobile phones affects relationships. Lastly,
people think that their decision making is getting affected due to excess information
online and also want to digital detox themselves. The never ending novel content
available on online platforms is the reason behind this. The human brain is naturally
wired for experiencing new things. The relation of finding novel online content with
the release of dopamine hormone in the brain is well established which explains why
people are hooked to their laptops and smartphones every time. Failure to find new
experiences in the real world, especially during the pandemic, encourages them to find
these in the digital world. Unfortunately, people are finding digital entertainment
more exciting than people in their proximity. However, consuming too much digital
content has its own problems and causing people to even want to digital detox
themselves.
This study also indicates that most of the parents are concerned and worried
about their children spending too much time on screen which does not support the
findings of Cellini, N., et al., (2020) who found that Children were neglected by parents
who were anxious to make their family ends meet. Primary reason behind this is that
parents who participated in the survey were well educated and financially well off
and therefore had time and energy to look after their children. Cultural impact also
needs to be taken into account as children in indian culture are usually expected by
parents to devote more time for studies and to score good marks.
Most of the participants were interested in taking COVID-19 vaccine which
validates the finding of Larson, H.J., et al., (2020), who reported having positive trust
of people on COVID-19 vaccine. Participants in the survey have also shown trust on

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the ability of science and technology to mitigate the COVID-19 pandemic. People’s
faith in the scientific community is important for science because it helps science to
deliver its promises. It is this trust which will give success to COVID-19 vaccines and
other future scientific innovations.
Implications for Social Policy and Action
On the basis of our findings we believe that to reduce the negative implication of
technology on people, policies should be made to spread the awareness of the negative effects of
spending too much time online, especially for children. This is important because many
students need to attend their classes online during the pandemic. It is also important
to initiate some programmes where physicians and other health care providers counsel
parents and caregivers of young children on the appropriate use of screen time in order to
promote child health and development in a digital world (Paediatr Child Health, 2017).
Proper guidelines regarding work from home should be made so that employees do not feel
stressed and isolated even being at home and also get enough time to spend with their
families. Proper training is required if this practice is to be a feasible option or the new
normal. Possibly the working balance will be visible post-pandemic when work from
home is not a forced mandate, rather a flexible option (Vyas, L. & Butakhieo, N.,
2020). Further, the impact of automation will vary greatly across geography, which
has implications for the labor force, urban–rural discrepancies, and changes in the
income distribution (Author, D., 2019).Therefore, before rolling out policies in future
like replacing humans with humanoid robots at the workplace it is important to take into
account the human factor of emotional connectivity.
Limitations of This Study
The sample size for this study was restricted to only 212 to represent the population in
Delhi NCR and Uttar Pradesh, India and the data collection was done online due to
the COVID-19 pandemic situation which might affect certain factors in the outcome of
the research as the responses were recorded under uncontrolled environment. The
study did not cover every part of India. It was restricted only to Delhi NCR and Uttar
Pradesh, India. There may be sampling issues as the data was collected online using
Google form due to COVID 19 pandemic i.e. there are chances of participants not
providing accurate information. Some promotional schemes could be given to the
participants for providing the real data so that the study would have been more accurate.
Some participants might hide true expression or misrepresent their identity or their
true feelings about the content of the questionnaire.
Suggestions for Further Research
The main purpose of the study was to study the impact and implications of technologies
in various aspects of life during pandemic. Some further study should also be done

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J. Psychosoc. Res.
across states of India on a larger population.
Abbreviations
COVID-19: Coronavirus Disease 2019
SPSS: Statistical Product and Service Solutions
SD: Standard Deviation
p: Level of Significance
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ABOUT THE AUTHORS
Subodh Kumar, Research Scholar – Department of Psychology, Banaras Hindu University, Varanasi, Uttar Pradesh,
India.
Divye Kartikey, Student, MA-Clinical Psychology – Indira Gandhi National Open University, New Delhi, India.
Tara Singh, Professor – Department of Psychology, Banaras Hindu University, Varanasi, Uttar Pradesh, India.

Impact of Technology on Various Aspects of Human Life During Covid-19 Pandemic: A Survey 141
J. Psychosoc. Res.
S.No. Questions
SQ 1 To what extent technology is helping you connect with people
during the pandemic?
SQ2 How technology has helped you improve physical and mental well-
being during lockdown?
SQ 3 To what extent technology has helped you in accessing essential services
like, food delivery and tele-health services during pandemic?
SQ4 How technology has helped you keep pace with your office work/
teaching/ learning during COVID-19 pandemic?
SQ 5 To what extent technology is helping you in keeping your skills up to
date during COVID-19 pandemic?
SQ 6 If you have been working/ attending classes online from home, are you
eager to resume your work from office/ campus
SQ7 How much trust you have on the ability of science and technology to
mitigate COVID-19 Pandemic
SQ8 Do you think that working/ studying in an office/ classroom
environment is more helpful than online?
SQ9 Do you think that spending too much time online is affecting your
relationships?
SQ10 Do you prefer spending time online than meeting people in person?
SQ11 Do you think that too much screen time is affecting your sleep time?
SQ12 Have you ever felt that your decisions are getting influenced in good or
bad ways by excess of online information?
SQ13 Have you ever felt that you should quit social media and digital detox
yourself ?
SQ14 Nowadays, availing online services, office work, learning etc. on various
Mobile Apps has become part of our daily routine. Do you feel safe in
providing personal information on online platforms/ apps?
SQ15 Are you/ Will you be interested in taking vaccine for COVID-19
SQ16 Would you prefer living in an environment where people are replaced
with humanoid robots and drones
SQ17 How many hours are you spending everyday on your laptop or
smartphone before the pandemic
SQ18 How many hours are you spending everyday on your laptop or
smartphone during the pandemic
SQ19 As a parent, how do you feel about your child spending too much time
on screen (mobile/computer)?
Appendix - 1
Words/ Sentence used in results and discussion for the different survey questions.
Words used
Connecting People
Physical and
Mental Well-being
Essential Services
Sleep Effect
Office Work
Skill Updation
Resuming
Physical
Trust on Science
and Technology
Online vs
Physical
Relationship
Effect
Meeting in person
Influence on
Decisions
Digital Detox
Personal Info
Vaccine In-take
Living with
Robots
Hours before
COVID
Hours during
COVID
Child Screen time

Subodh Kumar, Divye Kartikey and Tara Singh
J. Psychosoc. Res.
142
Variables Correlation is significant at0.01 level
Connecting People Physical and mental well-being, Essential
services, Office work, skill Updation, Hours
during COVID, Personal Info, Trust on
science and technology
Physical and mental Essential service, Office work, skill
wellbeing Updation, Trust on science and technology
Essential services Office work, skill, Hours before COVID,
Hours during COVID, Influence on
Decisions
Office work Skill Updation, hours before COVID, Hours
during COVID, meeting, Trust on science
and technology
Skill Updation Hours before COVID, Hours during COVID,
Trust on science and technology
Resuming physical -
Trust on science and -
technology
Online vs Physical Sleep Effect, Living with Robots
Relationship Effect Sleep Effect, Influence on Decisions, Digital
Detox, personal Info
Meeting in person Living with Robots
Sleep Effect Influence on Decisions, Living with Robots
Influence on Decisions Living with Robots, Digital Detox
Digital Detox -
Personal Info Living with Robots
Vaccine In-take Trust on science and technology
Living with Robots -
Hours before COVID Hours during COVID, Trust on science and
technology
Hours during Influence on Decisions, Trust on science and
COVID technology
Child Screen time -
Correlation is significant at 0.05
level
Resuming physical
Resuming physical, meeting, child
Screen time
Trust on science and technology,
resuming physical
Personal Info, Influence on Decisions
Personal Info, Living with Robots
-
Resuming physical
Meeting in person
Influence on Decisions, Vaccine
In-take
Trust on science and technology
Trust on science and technology
Vaccine in-take
-
Living with Robots
-
Influence on Decisions
-
-
Trust on science and technology, Digital
Detox, Relationship Effect
Appendix - 2
Pearson Correlation (p) between variables