Syntax Literate: Jurnal Ilmiah Indonesia p�ISSN:
2541-0849
e-ISSN:
2548-1398
Vol.
7, No. 3 Maret 2022
AN ASSESSMENT OF FAMILY BASED SMART HOME REFERENCE ARCHITECTURE MODEL
Vivid
Theresa Wina, Heru Purnomo Ipung, Tanika D. Sofianti
Swiss German University, Banten, Indonesia
Email: [email protected], [email protected], [email protected]
Abstract
The smart home concept is a promising and efficient means of promoting
good health, offering comfort and security, and so improving one's quality of
life. Despite the advantages of smart home technology, why is adoption so low
and not widely embraced by mainstream consumers? Most strategies are based on
experimentation or are solely focused on the technological aspects.
Technological or engineering perspectives on smart houses have failed to
capture the true requirements of future smart home users. Through this
research, we will determine the business gap preventing smart home adoption, as
well as users' perspectives on smart homes and their concerns regarding smart
home technologies. An online survey with 17 participants of household family
has been undertaken as part of this research in order to better understand the
attitudes and perceptions of potential smart home users, with the results of
the survey being analyzed in depth afterwards. The results from this research
may help broaden our understanding of the process of adopting smart homes and
give valuable insight into user-centered tactics for promoting smart home
service adoption.
Keywords: smart home; smart home
technologies; smart home adoption; service preference; household family; users�
perspective
Introduction
The definition of smart home and how smart home can be broadly
and profoundly applied to various fields, will be discussed in this study.
Smart home is sometimes referred as home automation (Alami,
Benhlima, & Bah, 2015)
The Internet of Things has been the buzzword in business, but
it is not a new notion. The word �Internet of Things�, invented in 1999 by Kevin
Ashton, the co-founder of Auto-ID Center.(Bassi
et al., 2013) Ashton was a pioneer who
invented this idea as he looked for ways in which by connecting RFID
information to the internet and it could improve Proctor & Gamble�s
business. The concept was simple yet influential. If all objects in regular
activities have identification and wireless access, these objects could
interact with each other and be monitored by computers (Iot, 2013)
According to VID-19, 47%Gartner�s recent surveys (October
2020) (Goasduff, 2020)
that despite the impact of CO of organizations would raise their investments in
IoT, as seen in Figure 1.
Figure 1
COVID-19's effect on implementing IoT to
save costs. Source: 2020 Gartner IoT Implementation Trends Survey
Going to follow the COVID-19 lockdown, the survey there were
35% fewer businesses investing in IoT, while a greater number of enterprises
intend to increase their spending in IoT deployments to reduce costs. One
reason for the rise is because, despite businesses' lack of experience with
IoT, IoT adopters deliver a predictable� return of investment (ROI) within a
defined period.
A large number of start-ups are attempting to break into this
rapidly expanding industry. Despite the fact that the Internet of Things (IoT)
has lately drawn attention to the smart home, this is not a new idea. In
reality, the idea of a smart home has been debated since the 1980s, and it has
developed beyond traditional home automation to include smart appliances. Although
it has a long history and is gaining popularity, smart home services are still
not generally embraced by the public. There are a variety of factors (such as
high price of device, limited demand, and extended device replacement cycles)
that are hindering the widespread adoption of smart homes. The most significant
constraint is a lack of technological capability to create the infrastructure
for a smart home. Smart home efforts seem to be in project phase, with slow
consumer acceptance. In Parks Associates, high perceived costs continue to be a
major barrier to the adoption of smart home. According to the company's Smart
Home Tracker, 20.5 million people, or 44 percent of those who don't have or
don't plan to buy a smart home device, mention high costs as a reason for not
adopting the technology, followed by other factors, lack of advantages and
privacy and data issues (Soto, Bosman, Wollega, & Leon-Salas, 2021)
Despite the many advantages that smart homes provide; they have not been generally accepted by mainstream consumers (Coskun, Kaner, & Bostan, 2018)
(Wilseon,
Hargreaves, & Hauxwell-Baldwin, 2017). Many studies are being carried out to investigate the
elements affecting the adoption of smart houses in order to determine the need
and expctations of potential users, but not
particularly in household families.
Smart homes are seen as possible alternatives for
improvements in life quality, independent living and they offer intelligence
services to increase life quality in homes, such as health monitoring, and
regular activities predictions. Since smart homes is about the usage of intelligent
environments, their aim is not only to reduce human or physical workload or
power consumption but also to improve the quality of live for its inhabitants (Ho,
Vogts, & Wesson, 2019).
Understanding the requirements and expectations of different
user profiles is one successful way to enhance smart home adoption (Shin,
Park, & Lee, 2018). Many researchers have examined the influence of user
characteristics on adoption and prior research concluded that adoption is
affected by a variety of variables, user expectations are varying, and efficacy
changes based on user expectations. However, relatively few research has
examined the effect of user perceptions of different kinds of services on
adoption (Baudier,
Ammi, & Deboeuf-Rouchon, 2020), particularly in terms of determining user preferences based
on the categories of segmented services and evaluating their connection with
adoption.
Primary goals of this study are:
� To identify the
today's business architecture gap hindering smart home adoption
� To conduct a comprehensive
assessment of the literature on smart home technology and evaluate its present
situation.
� To discover how users
perceive the smart home's adoption and service preferences, and to identify
variables that influence the smart home adoption.
� To investigate which
key drivers are most significant for consumers' intentions to adopt a smart home
environment and how they influence this intention.
Research Methodology
The objective of this part is to describe the methodology
used in this research as well as the motivations for conducting it in this
approach.
Figure 2
Research Methodology
In research
design, we create a compilation of research activities that will lead to the
realization of the research objectives along with problem statement, research
questions. Figure 2
shows the research activities that consists of literature reviews in order to
understand the existing research that relevant to Smart Home and to identify
the research gap. After
identifying the gap, the next step is to identify the business gap preventing
smart home adoption by conducting a smart home architecture assessment using
the TOGAF Framework. A survey will
be conducted once the company and prior research gaps have been discovered to
see whether the gap exists in a household family. The questionnaire format will
be sent to selected respondents. Later, the data collected from participants
will be examined for reliability and validity using smart PLS software. After
that, the architecture and survey findings will be reviewed by an IoT
professional.
To acquire understanding of the
motivations for adopting a smart home environment and thus to address the study
question, we combined a literature review with a quantitative research
strategy. The method has been to iteratively plan, develop, prepare, collect,
and analyze data.
Factors influencing the decision to
use one smart home technology may be profoundly different from those driving
the desire to use a certain smart home technology. However, it should be noted
that this study does not focus on or describe any particular form of smart
appliances or technology.
We followed the standard and
original parameters established by (Tranfield, Denyer, & Smart, 2003)
to meet the purposes of the existing systematic literature review study and the
assessment was based on a reference model of a smart home from the following
perspectives, (Weisman, 2011):
� Business
Architecture (External and Internal Stakeholder)
� Application
Architecture (Interaction between Systems in the smart home)
� Data
Architecture (Data Requirements, Flow and Integration)
� Technology
Architecture (Technology Capabilities and Qualities)
Result and Discussion
1.
TOGAF
Framework Implementation Result
a.
Architecture
Vision - Value Chain
In Figure 1, a recommended business process is shown using the value chain to
provide a list of business processes that exist in the primary or core business
activities and supporting activities. This business processes will be used to
model the functions and services that exist inside each business function that
will be depicted in a coherent way and believed can help to improve the smart
home adoption. To model business processes, we utilize the framework offered by
TOGAF ADM.
Figure 1
Smart Home Business Value Chain
The main activity consists of several activities
including:
� Technology:
Technology advancement enables businesses to innovate.
Additionally, technology may be leveraged at numerous points throughout the value
chain to achieve a competitive edge by enhancing efficiency or cutting
manufacturing costs.
����������� Operations:
Operations are the steps taken in the production of materials and
resources that result in the production of a finished product or service.
� Data
Analytics:
Using data analytics to understand how clients are interacting with your
products and work to improve their experience.
����������� Logistics:
Distribution is necessary after a product or service is completed. This
delivery procedure is referred to as outbound logistics.
����������� R&D:
To be a pioneer in the Internet of Things, it is not enough to create what
people want now. Research and development must be at the core of your business
if you are to supply what your customers need, when they need it. Thus, IoT research
and development initiatives become critical for worldwide advancement of the
technology.
� Marketing
& Sales:
To increase the product's marketability and to promote the product,
marketing and sales are required and play a critical role.
� Services:
Warranties and guarantees, as well as product assistance and instruction,
are examples of this kind of customer service.
� After Sales
Services:
Product maintenance is a critical aspect of after-sales services.
Support activities assist main activities in
establishing a competitive edge. They include the following:
� Human
Resource:
A competitive edge may be gained by employing an expert and specialists
inside an organization.
� Infrastructure:
brand and idea should remain
the emphasis while bringing store-level concepts back to the top tier of
priorities.
� Finance:
increasing finance at certain places throughout the
value chain in order to boost the overall competitiveness of the value chain.
b.
Architecture
Vision - Stakeholders Relationship
As previously said, all stakeholders in the smart home ecosystem must
collaborate harmoniously in order to achieve high levels of usefulness and compatibility
via the adoption of standards or protocols for communication and collaboration.
Ensuring that each stakeholder is aware of the effects that have been
experienced and anticipated by the other stakeholders may help to extend their
perspectives and lead to more effective deployments of smart home technology,
as well as technology in general. The relationship between smart home stakeholders
is shown in Figure 2.
Figure 2
Smart Home Relationships Between Products, Users, And
Stakeholders
1)
Product to End
Users
A smart home product or system is an ICT device that can process, store,
or send data. It may easily become technology-driven rather than
customer-driven (Montano, Lundmark, & M�hr, 2006). In terms of user
demands, the product-service system is considered a success since it may lead
suppliers to a unique solution by integrating efficient goods and services.
Also, product-service suppliers may keep a longer
connection with their customers, enabling them to bridge values and increase
client loyalty.
2)
Product to
Product
Smart home appliances can process, store, and transfer
data, allowing them to better meet customer needs. Smart devices communicate
with each other to acquire information about their users, which they use to
enhance services and value.
3)
Product to
Stakeholders
Service features help satisfy user needs and provide value. Synergies
between many stakeholders are required to develop high-tech smart home
equipment and deliver a broad variety of services. Participants may benefit
from one other's professional skills, new technology, and high-quality products
and services while minimizing system costs.
c.
Architecture
Vision - Smart Home Business Model Canvas
Value Proposition Scope Through Business Model
Canvas. The canvas is
more than a collection of checklists; it is a method for identifying the
strengths, weaknesses, and opportunities hidden under the surface of concepts.
It may, for example, inquire as to the basis for your existing beliefs.
� It will inquire as to if there are any further
potential consumers.
� Is there another reason customers purchase from
you?
� Inquire as to if there are alternative methods
to structure your team.
� It will inquire as to whether you are billing
the correct amount.
Three innovation lenses are shown in Figure 3. Each lens has its own
strengths and weaknesses, and evaluating all three may provide beneficial
ideas.
Figure 3
Three Lenses
Desirability: Desirability is understanding your customer, their motives,
interactions, and the things that influence or deter a purchasing decision. We
must appeal to our clients or we will lose revenue.
Feasibility: Feasibility is the capacity to make things happen behind the
scenes. This means selecting the right people, tools, partners, and tasks.
Viability: Money generated and spent is a measure of viability. A surplus
is required to exist in any legal form.
In order to qualify as a business feasibility qualification, Smart Home
Technology must meet three Design Thinking criteria, as indicated in Figure 4,
namely desirability, viability, and feasibility. An essential factor to address
is how to design value propositions and how to implement business models for
Smart Home Technology.
d.
Information
System Architecture - Activity Diagram of User Interaction with Smart Home
Appliances
The activity
diagram depicting the flow of user interaction with the smart home is
illustrated in Figure 5, and Table �1 details the interaction from
beginning to end.
Table
1
Detail
Step Of Interaction
|
No. |
Steps of
interacting with smart home appliances |
|
1. |
User select
the application if they want to turn off or on the lights (example) |
|
2. |
Login with
their smart phone |
|
3. |
Smart home
system will verify the user�s username and password |
|
4. |
Do the validation |
|
5. |
If the
username and password is not valid than back to login page |
|
6. |
If it is
valid than user may choose the appliances (which lights?) |
|
7. |
User check
the status is it on or off |
|
8. |
User may
see the options |
|
9. |
User may
enter the values |
|
10. |
The smart
home system will set the value |
|
11. |
And update
the status |
|
12. |
User may see
the changed status |
|
13. |
User may
choose other appliances |
|
14. |
If yes than
go back to number 6 and follow the steps forward |
|
15. |
If no, than application close |
Figure 4
Activity Diagram for Smart Home Appliances
e.
Information
System Architecture - Data Flow Model
In Figure 6, you can see how data moves through a system. Data is
transported from the mobile system to the command sender (command to be
delivered) and then to the cloud system's command receiver through a http post
request to the web server, which accepts the command and transmits it to the
database for storage. After converting the command to an action, it is sent to
its action sender, which in turn delivers it to the simulated system's (microcontroller's)
action receiver. In turn, the mobile system communicates its updated status to
the cloud system, which then changes the database and provides it to the user.
Figure 6
Data Flow Diagram
f.
Technology
Architecture - Home Network Segmentation
A network segmentation is a method of isolating devices from one other to
better share throughput or capacity to the Internet.
With two extra routers in the normal household, this is possible. They are
connected to the primary router through normal ethernet wires, as seen in the
Figure 7. Wireless and cable connection are both provided by the two new
routers. The network on the left is for standard computer devices, such as cell
phones, laptops, printers, backup disks, and any other devices that store
sensitive data. A guest network may also be created here for home guests.
Built-in guest networks are convenient since they enable us to provide Internet
access to visitors without providing them with network access to your other PCs
or printers.
The Internet of Things network is seen on the right. This is the location
for devices that do not contain sensitive information and may not receive
frequent updates due to a lack of functionality or because manual patching occurs
only when the device's owner notices.
Figure 7
Smart Home Network Segmentation
Network segmentation is beneficial from a cybersecurity standpoint since
it helps isolate issues. That IoT network is protected by a firewall, so an
infected laptop cannot access it. Furthermore, if an IoT device is infected,
the firewall on the main network will prevent it from malware-infected IoT
devices in the same home.
g.
Business
Architecture - Business Gap Analysis
After identifying the company's stakeholders, it's time to integrate and
maximize the use of information technology in business operations. Determined
the roles and duties of stakeholders, as well as their interrelationship in
order to meet and exceed users' expectations and requirements via a mix of
efficient solutions and efficient services.
Following the identification of stakeholders' roles and functions, as
well as their relationships with corporate stakeholders, analytical gaps will
be generated. Analysis of Gap Business Architecture provides a comparison
between the present activities of smart home enterprises and the anticipated
target architecture that will be outlined in Table 2.
Table 2
Gap Analysis Business
Architecture
|
Current Business Architecture |
Targeted Business Architecture |
|
The efforts of technology developers to promote the
notion show a lack of consumer-centricity.(Kim, Cho, & Jun, 2020) |
The reality that smart home
services must integrate seamlessly into an existing house's design and
technical architecture and grow over time in response to their use. A smart
home user should not have to learn technology to operate the smart device.
Rather than that, the gadget should be able to adapt to the user's everyday
activities. |
|
Due to the lack of collaboration among smart home
businesses, the challenge arises, since many gadgets are incompatible by default.(Georgiev & Schl�gl, 2018) |
Collaboration among objects within such
organizational structures can thus facilitate the production and supply of
constructed value-added services by service developers. These environments
and accompanying services create new opportunities for business, which often
need collaboration among various stakeholders. |
|
Smart home businesses place a premium on a significant
initial investment(Wilson et al., 2017) (Chang & Nam, 2021) |
By allowing the systems to be adjusted for rapid
deployment, it will address the misconception that Smart Home Technologies
are expensive and needs specialized programming, allowing end-users to
customize their own systems.(Michelle Guss, 2020) Smart home businesses may offer
�as-a-service� product or pay as you go service, instead of �one-off-selling�
product. |
2.
Expert
evaluation's recommendations
An expert review is essential while doing research since it ensures that
the framework, activities conducted, and outcomes are correct. are all solid.
According to Mr. Aji, he acknowledged that despite the cost gap discovered
in the business gap, the incompatibility of communication between smart devices
would be one of the reasons for the poor adoption rate. He is also agree that
the smart home network segmentation should be divided into two different router
as seen in Figure 4.7. The reason to have a separated router for general
devices and IoT devices are:
a.
To provide the
fundamental security, scalability, and agility needs for IoT network
environment.
b.
From a
cybersecurity standpoint, network segmentation is effective in isolating issues.
That IoT network is protected by a firewall, so an infected laptop cannot
access it. This also applies to compromised IoT devices; the regular network
firewall will protect them from malware infected IoT devices inside the same
household.
c.
To prevent the
transmission of mixed data between IoT and non-IoT devices. Through the
network, each IoT device communicates with the other. IoT, on the other hand,
operates at the network and transport layer levels. So the Internet of Things
has an issue in that each device encounters an interaction issue as a result of
the differences in protocol, which causes the device to be delayed in getting
responses. As a result, to alleviate the issue of IoT devices communicating
with one another, it is possible to equalize the IoT subnet into a single
segment.� The other reason for
incompatibility between devices, according to Mr. Aji, is that each IoT device
has a unique programming language, which creates another communication
challenge between devices. Alternatively, Mr. Aji may have advised potential
users to purchase IoT gadgets featuring the same branding.
Mr. Aji further said that the business components should include a cost
burden minimization strategy. To minimize the initial cost to the potential
buyer, which may discourage them from purchasing, it is advised that smart home
producers offer the product as a service package, which eliminates the need for
the potential buyer to worry about the high cost of servicing, repair, or
upgrade.
3.
Verification
Based on Users� Survey
All four households were offered to take part in the study. Following
their informed permission, respondents filled out and submitted the online
survey. Prior to the survey, all participants were given a description of a
smart home.
a.
Respondents'
Demographics
The demographic characteristics of the respondents.
There was a larger proportion of male participants, with 52.9% of the
participants being male (N = 9) and 47.1% of the participants being female (N =
8). Three-quarters of the participants were between the ages of 22 and 34, with
more than half reporting to be in full-time employment and earning a salary.
b.
Indoor Daily
Activities To Evaluate Convenience and Activity Level
For this section, we used a checkbox questionnaire to learn about the
users' or participants' indoor activities as well as their degree of comfort. 76.5%
(N=13) of respondents selected relax as their favourite indoor activity, followed
by cleaning at 58.8% (N=10) and entertainment at 52.9% (N=9).
c.
Service
Preferences
The results of the test to see which services people
would prefer. Almost half of the participants (N = 8, 47.1%), chose the convenience
service, whereas 29.4 % (N = 5) selected the safety service. However, just 17.6%
(N = 3) and 5,9% (N = 1) of respondents preferred energy and healthcare
services, respectively. In response to the following question on the behaviour
and skills of the personal AI assistant, the majority of participants preferred
that "they would only communicate to the interface if it spoke their
native language."
d.
Users'
Perceptions and Concerns Towards Smart Home
The outcomes for data protection were unaffected by gender
and age, as well as whether or not the respondents were acquainted with smart
home technologies.� Most participants
agreed that all information including personal information, health information
and access information should be protected at all costs.
e.
Users� Expectation
Towards Smart Home
Interestingly, the vast majority of participants, are open to the idea of
having an alert that may be activated automatically and sent to selected
families or institutions in the event of unexpected behaviour, such as falls.
f.
Households�
Purchase Potential and Desire for Smart Home
Despite the optimistic outcomes about smart homes expressed by the
participants, as well as their desire to have more control over their homes,
the probability of participants purchasing smart home products was not
particularly high. Half of the participants (52.9 percent, N=9) responded that
their average budget for technological systems was less than IDR 5 million.
g.
Users�
Requirement for Smart Home
The group of people aged 55 to 64 said that they lacked knowledge and
education on how to utilize the most up-to-date technology or system, and that
they had difficulties understanding the operational language. The primary
barrier to smart home adoption in the age group of 22-54, was primarily a cost
issue. Smart devices are excessively pricey in comparison to conventional ones.
Another concern expressed by participants is the difficulty of installing a
smart house with no clear instructions, and the lack of security for the
Internet of Things (IoT). These are the key points of input from the participants
regarding what is preventing the widespread adoption of smart homes.
4.
Reliability
and Validity of Data using Smart PLS
Smart PLS software was used to verify the measure of measurement model.
The intention of use of a smart home was derived by four main aspects which are
convenience, safety, energy, and healthcare. The principal component analysis
(PCA) is the foundation of PLS and is meant to explain changes in constructs
included in the model. (Chin, Marcolin, & Newsted, 2003)
proposed that PLS be used as an operational analytical tool for reducing error.
A practical implementation of the Smart PLS method may be shown in Initial path
model Figure 4.23, which shows the following associations, coefficients, and
loading values.
Figure 8
�Initial Path Model
5.
Summary of
Analysis Results
Literature review, online survey and third-party suggestion results will
be mapped to the TOGAF Framework, Figure 4.24, to confirm any gaps that have
been identified.
Figure 9
Analysis Summary Mapped Into TOGAF Framework
1.(Georgiev & Schl�gl, 2018), 2.(Georgiev & Schl�gl, 2018); (Wi�mann, 2020).,
3. (Wi�mann, n.d.), 4.(Lee, Hsiao, Huang, & Seng-cho, 2016),
5(Chikhaoui & Pigot, 2010),
6. (Lee et al., 2016)
6.
Discussion
The participants in the survey were generally between the ages of 22 and
34 and were working full-time, which indicates that they are more likely to be
interested in smart home technology and regardless of age, the majority of
participants are aware of or feel themselves to be comfortable with technology.
Additionally, the findings indicated that those between the ages of 55 and 64
choose relaxing and cleaning as their primary indoor activity, whereas those
between the ages of 45 and 54 chose work, exercise, cleaning, and relaxing as
their primary indoor activity. Their primary activities between the ages of 22 and
34 are work, followed by leisure activities such as fitness, entertainment, and
relaxation. Participants over the age of 55 were generally unfamiliar with the
concept of smart home, and they either did not have any smart gadgets or just
had one smart phone. They may only pick their native language if they have the
option of selecting it as the smart system's primary language, which is
consistent with previous research findings. Furthermore, the flexibility to
change the voice/speech settings is important for those between the ages of 22
and 34. All age groups are hesitant to give their information, which
contradicts earlier research results those older persons are truly receptive to
sharing their information for medical purposes. According to earlier results,
older people prefer passive monitoring since it is simpler for them not to
operate the gadget themselves. However, in the survey findings, elderly people
are more reluctant to be observed and a smart gadget that can send an alert is
more desirable. As with previous research, young adults preferred not to be
monitored, and the survey findings do not confirm the statement that they all
agree to be monitored.
Analyzing preferences for a variety of different types of services is an
efficient way for predicting service acceptance. The group that chose convenience
services came out on top in the overall preference evaluation, while the
intention to use was higher among those who selected safety services, which
came in second place in the overall preference assessment. However, the group
that picked energy conservation service, on the other hand, revealed that they
were less ready to utilize the service in general. According to the assumptions
made, it was considered that this group was price sensitive due to their budget
being less than IDR 5 million based on the result, or that they did not think
they need the service despite its necessity.
Demographic variables were also discovered as a factor affecting
preferences and intentions to utilize smart home services. To start, service
preferences were influenced by gender. Female respondents were shown to have a
stronger desire for convenience than male respondents, according to the study.
On the other side, the intention to utilize smart homes was somewhat greater
among men, but this wasn't statistically significant.
Second, although age had no impact on service selection, it did influence
intention to use. There was no significant difference in the number of
participants intending to utilize safety services based on their age group. All
age groups ranked safety services highest, with no significant difference in
intention to use across ages, however the age group 55-64 had no desire to
acquire a smart product in the near future, in contrast to the age group 22-54,
which is confident about purchasing a smart device. Numerous studies have been
conducted on the senior population, which has been identified as a significant
benefit of automated technology in smart homes, due to their financial
stability relative to younger adults, and smart home research has mostly
focused on healthcare services for the elderly. However, the findings of this
research indicate that there is a significant demand for other parts of
services that might support residents' independent activities, such as safety
and convenience, across all age groups, as well as among many younger persons
who are already financially stable and in full-time jobs.
In conclusion, although the substantial impacts of some variables on smart
home adoption (e.g., experience and preference) are consistent with the current
research, the effects of other factors (e.g., gender and age) are inconsistent.
Furthermore, the results of this research may not only increase our knowledge
of how people choose to use smart home technology, but they can also provide a
user-centered approach for encouraging adoption. For example, although
convenience services are valued by almost all age groups, those willing to
spend are mostly between the ages of 22 and 34. In other words, initiatives for
actively promoting smart home adoption must include tactics for aggressively
targeting these users. On the other hand, since women spend the majority of
their time cleaning and working inside, while men enjoy working, relaxing, and
entertainment, it is critical that they have a plan in place that may assist
them in improving their lives via indoor smart technology.
The findings of this research emphasize the importance of policies and
strategies for sustaining smart home adoption and fostering technological
innovation. Smart home services should thus be made available to a broad
variety of consumers, particularly those with low budget and limited technological
skills, as a first step toward increasing their adoption. One example is to
decrease costs via collaborative purchasing or to give pre-experience chances
for services favored by target consumers, in general safety services.
Conclusion
The vision of smart homes will be achieved only when people
become interested in embracing these technologies in their ordinary activities;
and awareness will be heightened when developers include their specific
requirements and concerns. This research provides insight into the issues and
demands of the potential smart home users.
Smart home technology is considered to provide advantages
such as comfort, safety, and an improved quality of life; nevertheless,
Prospective users were not receptive to data sharing, despite the fact that the
data may be required by doctors. On the other side, they are willing to have a
CCTV monitor the home 24 hours a day and provide notifications if anybody
enters.
The primary driver behind the adoption of smart home
technology is, unsurprisingly, the cost. Therefore, smart home appliance
producers must develop a strategy for addressing the demands and expectations
of their potential customers. Another issue slowing adoption is incompatibility
between smart devices. The constant discussion of interoperability between
brands reveals another important issue. The customer's ability to personalize the
system is limited since seamless integration into a single platform does not appear
to be easily achievable. Smart home technology has a hard time integrating into
everyday life even for early adopters who are often technology affine. This is
discouraging the general population from adopting smart home technology.
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Copyright holder: Vivid Theresa Wina, Heru
Purnomo Ipung, Tanika D. Sofianti
(2022) |
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First publication right: Syntax Literate: Jurnal Ilmiah
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