The Influence of Chatbots and Augmented Reality on Wardah
Beauty's Purchase Intention
Hanastasia Siahaan
Master of Management Science, University of North Sumatra, Jl. Prof. T.M Hanafiah, SH, Medan, Indonesia
Keywords: Chatbot Augmented Reality Purchase Intention
Abstract: The latest technological developments in the marketing 5.0 era have brought many changes in all
environments, including the cosmetic industry. The application of new technology in product marketing
is expected to be able to provide services that can increase customer Purchase Intention. This study aims
to analyze the effect of Chatbot and Augmented Reality features on Purchase Intention of Wardah
Beauty products. The research method used is a method with a quantitative approach used to examine
certain populations or samples, namely consumers who use Wardah Beauty products. Sampling was
done by non-probabilistic sampling method with the number of female respondents as many as 85 people
and the data used was primary data in the form of a questionnaire. The data analysis method used is
multiple regression analysis. The results of this study indicate that (1) Chatbot has a positive and
significant effect on Purchase Intention in Wardah Beauty products. (2) Augmented Reality has a
positive and significant effect on Purchase Intention in Wardah Beauty products. purchasing Wardah
Beauty products.
1 INTRODUCTION
The entry of the marketing 5.0 era and the
development of information technology are
widely used by various industrial sectors.
Marketing 5.0, according to Kotler et al (2021), is
the application of technology that can imitate
humans to create, communicate, provide services,
and increase value along the customer journey.
Digital technology in the development of
marketing 5.0 should provide the right solution
and be considered relevant to the needs of today's
consumers.
Artificial intelligence has been developed over
the years to replicate human cognitive abilities,
specifically to learn from unstructured consumer
data and find insights that marketers might find
useful. When combined with other enabling
technologies, AI can also be used to deliver the
right offers to the right customers. The
disappearance of the barriers of space and time
allows consumers to shop anytime and anywhere.
This is a challenge for companies to serve
consumers every time they make transactions.
With technology constantly evolving, 24/7
customer service can be maximized with Chatbot
technology.
The presence of Chatbots is none other than
the development of artificial intelligence (AI)
technology. Chatbots are becoming increasingly
booming because they can replace humans to
perform certain tasks in the provision of services
in many sectors, especially in the field of e-
commerce (Park et al., 2021).
Chatbots are often the first services a business
consumer interacts with. Many customers must
first interact with the AI Chatbot before engaging
in any buying behavior. Only when a customer
encounters a problem that the Chatbot can't solve
does he or she turn to human customer service.
Chatbots are programs that can simulate
human conversations via voice commands or text
commands and act as virtual assistants for users
(Luo et al., 2019, p.1). Using a Chatbot offers
advantages in terms of operational cost savings,
service efficiency, and a more positive user
experience. Many businesses leverage Chatbots in
their efforts to provide instant response and 24/7
support to consumers (Chen et al., 2021; Cheng et
al., 2021).
Siahaan, H.
The Influence of Chatbots and Augmented Reality on Wardah Beauty’s Purchase Intention.
DOI: 10.5220/0011518700003460
In Proceedings of the 4th International Conference on Social and Political Development (ICOSOP 2022) - Human Security and Agile Government, pages 91-97
ISBN: 978-989-758-618-7; ISSN: 2975-8300
Copyright
c
2023 by SCITEPRESS – Science and Technology Publications, Lda. Under CC license (CC BY-NC-ND 4.0)
91
From a service provider's point of view,
Chatbots address many of the challenges that
services face with humans. For example, Chatbots
can handle multiple consumer requests
simultaneously (Cheng et al., 2021), while
humans can usually only respond to one consumer
request at a time. In addition, because Chatbots
are not frustrated, bored, or easily tired like
humans, they are made to communicate and serve
customers in a friendly manner (Cheng et al.,
2021; Luo et al., 2019). In general, Chatbots are
very promising in providing fast, convenient, and
friendly service to consumers.
However, the researchers also found that
consumer interest in receiving and using Chatbots
was relatively low (Ashfaq et al., 2020), with 87%
of consumers preferring human agents over
Chatbots to interact (Pres, 2019). This happens
because Chatbot responses are often not in line
with consumer expectations because their needs
or desires are often ignored. Despite the relatively
low level of consumer acceptance of Chatbots,
marketers are still fascinated by AI-enabled
technologies (Schanke et al., 2021). This has
fueled the argument that the popularity of Chatbot
development is due to the drive to keep up with
technology rather than market demand (Nordheim
et al., 2019). Artificial intelligence (AI)
technology is also developing Augmented Reality
(AR) capabilities. In AR, Interactive digital
content is superimposed on the user's view of the
real world environment. (Kotler,In an online
shopping environment, consumers are unable to
touch, feel or try products (Jiang and Benbasat,
2007; Li, Daugherty, and Biocca, 2002).
Therefore, for online sellers, it is very important
to create a satisfactory alternative to direct
product experience by offering consumers
specifications, features and information about
product performance before purchasing (Klein,
2003).
The application of AR technology gives the
impression that consumers feel the sensation of
virtual shopping as if it were real. According to
ThinkMobiles, with the advent of AR technology,
63% of consumers trust AR implementation by
providing a different shopping experience, data
shows that 35% of potential consumers are likely
to make a purchase more often if they can try
before buying.
The amount of public interest in the use of AR
technology certainly cannot be separated from the
various advantages it offers (Ozturkcan, 2020).
AR is considered capable of playing a role in
providing business benefits because it can affect
consumer interest in buying products. Through its
digital technology, AR can provide insight to
customers with a different experience when they
recognize a product. In addition, AR is considered
to be able to support consumer communication
with business people because through this
technology consumers feel more involved and
want to keep trying. As content that is supported
by digital media, AR has advantages in terms of
media richness because its content can provide
more complete information in various forms
(Bubaš, 2001). Smart retail applications and
mobile AR have fundamentally changed the retail
environment and significantly improved
consumers' quality of life (Nikashemi et al.,
2021). The use of AI has also attracted the interest
of one of the largest cosmetic companies in
Indonesia, namely Wardah. Beauty. On the site,
you can find Chatbot and AR features that can
help consumers choose the products they want.
Not only can they try cosmetics virtually, but
consumers can also inquire about their skin
problems virtually with the SkinLab function.
You can find Chatbot and AR features that can
help consumers choose the products they want.
Not only can they try cosmetics virtually, but
consumers can also inquire about their skin
problems virtually with the SkinLab function.
You can find Chatbot and AR features that can
help consumers choose the products they want.
Not only can they try cosmetics virtually, but
consumers can also inquire about their skin
problems virtually with the SkinLab
function.With these various features, consumers
will find it easier to find products that suit their
needs, be it cosmetics or skin care. This supports
consumer interest in buying Wardah Beauty
products. Consumers can try products before
buying, such as lipsticks, foundations, and
powders that meet consumer needs. This
technology can help businesses minimize the
disappointment that consumers often feel about
products not performing as expected.
2 LITERATURE REVIEW
2.1 The Role of Chatbots in Purchase
Intention
AI Chatbots can be used to convince consumers
of their interest in buying. The customer's interest
ICOSOP 2022 - International Conference on Social and Political Development 4
92
in buying is a major problem in marketing
management, because it affects the customer's
final decision. McLean and Osei-Frimpong
(2019), for example, studied live chat and
demonstrated that the variables influencing its use
depend on the context to initiate chat
conversations, i.e. to support search/browse or
support decision-making processes. The main
goal is to make customers not only chat and use
the service, but ultimately buy the product or
service, improving their customer experience.
Chung et al. (2020) studied the effect of
Chatbot services in the context of luxury retail on
customer satisfaction and showed that digital
service support tools can help build positive
relationships with customers, even when e-service
agents do not fully communicate with customers.
For this reason, Chatbots can be seen as a
substitute for customer service agent
communication that can close the sale through
appropriate communication based on five quality
dimensions: interaction, entertainment, trends,
personalization, and problem solving (Chung et
al., 2020). Compared to human customer service,
some of the capabilities of AI Chatbots go beyond
humans, such as self-learning, accurate personal
recommendations, always online, ready to
respond to customer needs at any time, and more
sTable (Deloitte, 2018b).
While some AI Chatbot capabilities are not as
good as humans, such as the inability to have deep
emotional interactions with customers and some
problems that are difficult to solve, they still
require human customer service (Forbes, 2017).
Sands et al (2020) show that interactions with
Chatbots, if personalized (using certain narrative
cues based on entertainment), can optimize
emotions and relationships, and thereby gain
customer interest and satisfaction.
2.2 The Role of Augmented Reality in
Purchase Intention
Augmented Reality (AR) has become an effective
interactive technology for providing visual
product information (Jung, Chung & Leue, 2015;
Vonkeman, Verhagen & Van Dolen, 2017). The
concept of AR is to display 3D information on
virtual products in real time in a consumer market
environment (Javornik, 2016). AR extends from
3D technology, which provides a 360-degree view
of virtual products. However, the distinguishing
difference between 3D and AR is that AR
integrates virtual products into the consumer's
physical environment (Olsson, Lagerstam,
Kärkkäinen, and Väänänen-Vainio-Mattila,
2013). With the increasing importance of
contextual information, AR makes it easier for
consumers to visually inspect products in their
physical space (Vonkeman et al., 2017). Recently,
Augmented Reality is used as a direct view of
the real world by adding information virtually.
AR development is not only for entertainment
purposes, but can be used by marketers as an
increase in Purchase Intention. In AR applications
there are three features that need to be considered.
First, merging the real world with the virtual
world or interactivity.
Second, display images with clarity and detail
or clarity. Third, the information provided is
different and specific or new.
Previous studies have suggested that
customers perceive more risk with online or
mobile purchases compared to offline purchases
(Schröder & Zaharia, 2008). This is because
consumers find it difficult to evaluate products
accurately when shopping online or on mobile
devices (Verhagen & van Dolen, 2011). Since
customers cannot physically experience (e.g.,
touch and try) the product through online and
mobile channels, they cannot rely on product
performance. According to Steuer (1992), the
presentation of high-quality products helps reduce
risk by creating a sense of non-mediation, which
reduces the barrier between the consumer and the
product. When customers feel that the product is
physically present with them, negative
impressions can be reduced. As Augmented
Reality experiences provide richer product
presentations with high levels of telepresence,
consumers experiencing AR may find it easier to
make purchasing decisions than consumers
without AR (Hilken et al., 2018; Javornik, 2016).
In an online/mobile shopping environment, AR
technology increases consumer satisfaction and
consequently increases Purchase Intention (Dako,
2017).
3 RESEARCH METHODS
This type of research is explanatory research with
a quantitative approach. The selection of
respondents was carried out using a sampling
technique, namely convenience sampling and
finalized sampling of more than 85 female
respondents with a vulnerable age of 21-35 years
because this generation grew up in the internet era
The Influence of Chatbots and Augmented Reality on Wardah Beauty’s Purchase Intention
93
and has more contact through social media.
network. average for what is considered a very
tech-savvy generation.
This research was conducted online, namely by
distributing questionnaires to the intended
respondents using Google forms. Respondents in
this study include users of Wardah Beauty
products seen on social media who bookmark or
like content on Wardah Beauty's accounts, as well
as users who provide comments and reviews on
Wardah Beauty's posts. A sample of 85
respondents was obtained and analyzed using
multiple linear regression analysis.
Table 1: Characteristics of interviewees
Age Amount Percentage
20-25 years 17 20
25-30 years 50 58.8
> 31 years old 18 21.17
Education Amount Percentage
Senior high school 10 11.76
Bachelor Degree 50 58.82
Master Degree 25 29.41
Profession Amount Percentage
Student 39 45.88
E
mployees 20 23.52
G
overnment Employees 26 30.58
Based on Table 1, it can be seen that the majority
of respondents aged 25 to 30 years were 58.8
percent, then those aged over 31 years were 21.17
percent, and those aged 20 to 25 years were 21.17
percent and 20 percent.
In the education category, the majority of
respondents' education was at the tertiary level by
58.82 percent, at the master's level 29.41 percent
and at the high school level by 11.76 percent.
In the work category the majority of respondents
are students up to 45.88%
Figure 1 Conceptual framework
H1: The influence of Chatbots on Purchase
Intention in Wardah Beauty products
H2: The influence of Augmented Reality on
Purchase Intention in Wardah Beauty products.
4 RESULTS AND DISCUSSION
This study uses multiple linear analysis to see the
effect of Chatbot and Augmented Reality on
Purchase Intention. The value of R2 is used to
measure the level of variation of changes in the
independent variable to the dependent variable.
The R2 value of this study can be seen in the Table
below:
Table 2: R Square
Purchase
Intention
R Square Adjusted R Square
0.534 0.523
Based on Table 2, it can be seen that the R-
squared value of 0.534 means 53.4 percent of the
variable Purchase Intention on the Wardah Beauty
website can be explained by the Chatbot and
Augmented Reality variables. While the
remaining 46.6 percent can be explained by other
factors not examined in this study.
Table 3: Anova
Purchase
Intention
F Sig
47.015 0.000
Based on Table 3, it is known that the number of
samples (n) is 85 respondents, and the number of
parameters (k) is 3, so that it is obtained df1 = 3 -
1 = 2; df2 = n - k = 85 - 3 = 82, then en = 0.05,
the value of Fcount (47.015) > FTable (3.107) and
significance (0.000) < (0.05). This means that the
Chatbot and Augmented Reality variables
simultaneously have a significant effect on
consumer Purchase Intention in Wardah Beauty
products.
Table 4: T-statistics and P-value
T Statistic P Value
Chatbot PI 3.761 0.000
Augmented Reality PI 3.937 0.000
With (n) = 85, the number of parameters (k) = 3,
df = (n - k) = 85 - 3 = 82 so that with an error rate
= 0.05, t Table = 1.989 is obtained.
Cha
t
Bot
Augmented
Reality
Purchase
Intention
ICOSOP 2022 - International Conference on Social and Political Development 4
94
Augmented Reality regression coefficient value
(β2) = 0.364 > 0 with tcount (3.937) > tTable
(1.989). This shows that the Augmented Reality
variable has a positive and significant effect on
Purchase Intention, which means that the higher
the Augmented Reality suitability, the Purchase
Intention will increase significantly and vice
versa.
4.1 Effect of Chabot on Purchase
Intention
The value of the Chatbot regression coefficient
(β1) = 0.536 > 0, with tcount (3.761) > tTable
(1.989) and significance (0.00) < (0.05). This
shows that the Chatbot variable has a positive and
significant effect on Purchase Intention, which
means that the better the Chatbot, the Purchase
Intention will increase significantly and vice
versa.
As Presti et al (2021) state that Chatbots play a
role in the perception of hedonistic and utilitarian
product value and can be a relevant factor in
customer decision making. This is in line with
claims that AI Chatbots can be used to convince
consumers of their intention to buy (Chung et al.
2020)
Experiments have shown that Chatbot interactions
can contribute to the Purchase Intention process.
(Presti et al 2021). In a digital environment,
conversations in virtual spaces (Chatbots) create
an experiential environment that can act as a
stimulus for the buying process. Purchase
Intention can be obtained through interactive
activities and the ability to know how to provide
useful information to potential buyers.
4.2 Effect of Augmented Reality on
Purchase Intention
The results of this study indicate that the
Augmented Reality variable on Purchase
Intention is 0.00 less than 0.05 which means that
there is a positive and significant effect of
Augmented Reality on Purchase Intention.
Because AR experiences provide richer product
presentations with high levels of telepresence,
consumers experiencing AR may find it easier to
make purchasing decisions than consumers
without AR (Hilken et al., 2018; Javornik, 2016).
This is in line with Dako’s claim (2017; Whang
(2021) that AR technology can further increase
consumer satisfaction so that it will affect
Purchase Intention.
5 CONCLUSIONS
This study examines the effect of implementing
Chatbot and Augmented Reality features to create
Purchase Intention in customers. The
development of Chatbot and Augmented Reality
technology has a positive and significant impact
on consumer Purchase Intention on the Wardah
Beauty website. This research focuses on the
beauty industry which is starting to use
technology in selling its products. In practice, this
research can help companies in similar industries
and other industries use technology in their
marketing processes so that they can be different
and can create their own value.
Through the application of this AR feature, it can
help sellers eliminate consumer doubts when
shopping online because it can provide a real
picture of a product through a virtual experience
with image clarity and time efficiency.
REFERENCES
Ashfaq, M., Yun, J., Yu, S. and Maria, S. (2020). I,
Chatbot: modeling determinants of user satisfaction
and service agent continuity intentions based on
artificial intelligence. Telematics and Informatics,
54, article 101473.
Bubas, G. (2001). Theory and Phenomenon of Computer
Mediated Communication: Factors Affecting
Internet Collaboration. CARNet User Congress III.
24-26.
Chen, JV, Le, HT and Tran, STT (2021). Understanding
Automated Conversation Agents as Decision Aids:
Tailor agent conversations to customer shopping
activity. Internet Search, 31 (4), 1376–1404.
Cheng, X., Bao, Y., Zarifis, A., Gong, W. and Mou, J.
(2021). Exploring Consumer Responses to Text-
Based Chatbots in Ecommerce: Moderating Role of
Chatbot Business Complexity and Reach. internet
search. https://doi.org/10.1108/INTR-08-2020-0460
Chung, M., Ko, E., Joung, H., and Kim, SJ (2020).
Chatbot electronic services and customer
satisfaction in luxury brands. Journal of Business
Research, 117, 587–595.
https://doi.org/10.1016/j.jbusres.2018. 10.004.
Ciechanowski, L., Przegalinska, A., Magnuski, M. and
Gloor, P. (2019). In the shadows of a mysterious
valley: an experimental study of human-Chatbot
interactions. Next Generation Information Systems,
92, 539–548.
Dacko, SG (2017). Enable smart retail settings via
Augmented Reality mobile shopping app. Forecast
of Technology and Social Change, 124, 243–256.
Deloitte. (2018a). Digital labor intelligent chatbots.
https://www2.deloitte.com/us/en/pag es/public-
The Influence of Chatbots and Augmented Reality on Wardah Beauty’s Purchase Intention
95
sector/articles/a-roadmapfor-building-digital-
labor.html%0D.
Deloitte. (2018b). What is the commercial value of a
Chatbot? https://www.deloitteforward. nl / en /
digital / what-is-the-business-value-of-Chatbots /.
Fan, X., Chai, Z., Deng, N., Dong, X., 2020. Consumer
Product Adoption and Online Retailing Augmented
Reality Adoption: A Cognitive Perspective. J. Retail
Consumption. serving 53, 101986.
Forbes. (2017). Ten Customer Service and Customer
Experience Trends for 2017.
https://www.forbes.com/sites/shephyken/2017/01/0
7/0-customer-service-and-customer-experience-cx-
trend-for-2017 / # 145a272c75e5.
Gan, C. and Wang, W. (2017). Effect of perceived value
on Purchase Intention in the context of social
trading. Internet Search, 27 (4), 772–785.
Han, MC (2021). The impact of anthropomorphism on
consumer purchasing decisions in commercial
Chatbots. Internet Trading Review, 20(1), 46–65.
Hilken, T., Heller, J., Chylinski, M., Keeling, DI, Mahr,
D., and de Ruyter, K. (2018). Turning omnichannel
into Augmented Reality: current and future state of
the art. Interactive market research magazine.
Javornik, A. (2016). Augmented Reality: a research
agenda to study the impact of media characteristics
on consumer behavior. Retail and Consumer
Services Magazine, 30, 252–261.
Kim, C., Galliers, R. D., Shin, N., Ryoo, J. H., & Kim,
J. (2012). Factors influencing Internet shop- ping
value and customer repurchase intention. Electronic
Commerce Research and Applications, 4, 374–387.
Kotler, P., Kertajaya and Setiawan (2021).
Marketing 5.0, Technology for humanity. John Wiley &
Sons, Inc. Canada
Jiang, Z. and Benbasat, I. (2007). Research Note:
Investigation of the effect of functional mechanisms
on online product presentation. Information Systems
Research, 18(4), 454–470.
Jung, T., Chung, N. and Leue, MC (2015). Determinants
of recommendations for the use of Augmented
Reality technology: the case of Korean amusement
parks. Tourism management, 49, 75–86.
Li, H., Daugherty, T. and Biocca, F. (2002). Impact of
3-D advertising on product knowledge, brand
attitudes, and Purchase Intentions: the mediating role
of presence. Advertising magazines, 31 (3), 43–57.
Loureiro, S. M. C., Guerreiro, J., & Tussyadiah, I.
(2021). Artificial intelligence in business: State of
the art and future research agenda. Journal of
Business Research, 129(November 2020), 911–926.
Loureiro, S. M. C., Japutra, A., Molinillo, S., & Bilro,
R. G. (2021). Stand by me: Analyzing the tourist–
intelligent voice assistant relationship quality.
International Journal of Contemporary Hospitality
Management.
Luo, X., Tong, S., Fang, Z. and Qu, Z. (2019). Borders:
Machines vs. Humans: Impact of AI Chatbot
Engagement on Customer Purchases. Marketing
Science, 38 (6), 937–947.
McLean, G. & Osei-Frimpong, K. (2019). Chat now...
by examining the variables that affect the use of
online live chat. Forecast of Technology and Social
Change, 146, 55–67.
Mou, Y., & Xu, K. (2017). The media inequality:
Comparing the initial human-human and human-AI
social interactions. Computers in Human Behavior,
72, 432–440.
Nordheim, CB, Flstad, A. and Bjørkli, CA (2019). The
first trust model in Chatbots for customer service
Survey results with questionnaires. Interacting with
Computers, 31 (3), 317–335.
Olsson, T., Lagerstam, E., Kärkkäinen, T. and
Väänänen-Vainio-Mattila, K. (2013). Expected user
experience of an Augmented Reality mobile service:
a user study in the context of a shopping mall.
Personal computers and everywhere.
Ozturkcan, S. (2020). Service innovation: the use of
Augmented Reality in the IKEA Place app. Journal
of Information Technology Teaching Cases, July.
https://doi.org/10.1177/2043886920947110
Park, N., Jang, K., Cho, S., and Choi, J. (2021). Use of
offensive language in interactions between humans
and artificial intelligence Chatbots: effects of ethical
ideology, social competition, and perceptions of
human similarity. Computers in human behavior,
121(3), item 106795.
Press, G. (2019). AI statsnews: Chatbots increase sales
by 67%, but 87% of consumers prefer humans.
November 25. Forbes
https://www.forbes.com/sites/gilpress/2019/11/25/a
i–stats–news–Chatbots–increase–sales– of–67 but
87 – of – consumer – prefer – human /? Sh =
19efe3cf48a3.
Presti, LL (2021). The role of Chatbots in customer
Purchase Intentions: towards digital relational
selling. Italian marketing magazine.
Sands, S., Ferraro, C., Campbell, C., and Tsao, HY
(2020). Addressing the Human Chat Gap: How
Service Scripts Affect the Service Experience.
Service Management Magazine. https://doi.org/10.
1108 / JOSM-06-2019-0203
Schanke, S., Burtch, G. and Ray, G. (2021). Estimate the
impact of "humanizing" a customer service Chatbot.
Information Systems Research, 32(3), 736–751.
Schröder, H. and Zaharia, S. (2008). Linking Multi-
Channel Customer Behavior with Purchase Motives:
An Empirical Survey of German Retailers. Journal
of Retail and Consumer Services, 15 (6), 452–468.
Steuer, J. (1992). The definition of virtual reality: the
dimensions that define telepresence. Communication
magazines, 42 (4), 73–93.
Verhagen, T. & van Dolen, W. (2011). The Effect of
Online Store Trust on Online Consumer Impulse
Purchases: Empirical Models and Applications.
Information and Management, 48 (8), 320–327.
Vonkeman, C., Verhagen, T., and Van Dolen, W. (2017).
The role of local presence in online impulse buying.
Information and Management, 54(8), 1038-1048.
ICOSOP 2022 - International Conference on Social and Political Development 4
96
Wang, BJ (2021). Effect of Augmented Reality on
Purchase Intention of beauty products: the role of
consumer control. Service Management Magazine.
The Influence of Chatbots and Augmented Reality on Wardah Beauty’s Purchase Intention
97