TY - GEN
T1 - A Systematic Literature Review of User Interface Personalization
T2 - 26th International Conference on Human-Computer Interaction, HCII 2024
AU - Moquillaza, Luis
AU - Paz, Freddy
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025
Y1 - 2025
N2 - In the rapidly evolving landscape of technology consumption, users increasingly seek personalized experiences that extend beyond mere functional fulfillment. Personalization, which tailors user interfaces to individual preferences, has proven to enhance user satisfaction and engagement. Despite its advantages, the widespread integration of personalization remains limited across various frequently used product and service domains. Automated Teller Machines (ATMs), serving as a pivotal channel for numerous banking transactions, are favored by consumers for their convenience. However, the prevalent use of ATMs is often accompanied by a suboptimal user experience, primarily due to a neglect of user attitudes, perceptions, and knowledge in their design. In this sense, this study conducts a systematic literature review to identify personalization actions, challenges in implementation, and methodologies in the ATM domain and related areas to understand how they positively impact the user experience. For this, the protocol proposed by Kitchenham was followed. The findings underscore the importance of integrating user interface personalization seamlessly into the system to enhance user satisfaction and reduce average usage time. Moreover, the research highlights the challenges of incorporating personalization during development, emphasizing the need for careful selection of information sources and addressing concerns related to data privacy. The paper concludes by offering valuable insights into the state of personalization in the ATM domain, providing a foundation for future research to enhance user experiences in this critical domain.
AB - In the rapidly evolving landscape of technology consumption, users increasingly seek personalized experiences that extend beyond mere functional fulfillment. Personalization, which tailors user interfaces to individual preferences, has proven to enhance user satisfaction and engagement. Despite its advantages, the widespread integration of personalization remains limited across various frequently used product and service domains. Automated Teller Machines (ATMs), serving as a pivotal channel for numerous banking transactions, are favored by consumers for their convenience. However, the prevalent use of ATMs is often accompanied by a suboptimal user experience, primarily due to a neglect of user attitudes, perceptions, and knowledge in their design. In this sense, this study conducts a systematic literature review to identify personalization actions, challenges in implementation, and methodologies in the ATM domain and related areas to understand how they positively impact the user experience. For this, the protocol proposed by Kitchenham was followed. The findings underscore the importance of integrating user interface personalization seamlessly into the system to enhance user satisfaction and reduce average usage time. Moreover, the research highlights the challenges of incorporating personalization during development, emphasizing the need for careful selection of information sources and addressing concerns related to data privacy. The paper concludes by offering valuable insights into the state of personalization in the ATM domain, providing a foundation for future research to enhance user experiences in this critical domain.
KW - Automated teller machine
KW - Human-computer interaction
KW - Personalization
KW - Systematic literature review
KW - User Interface
UR - http://www.scopus.com/inward/record.url?scp=85213330629&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-76806-4_24
DO - 10.1007/978-3-031-76806-4_24
M3 - Conference contribution
AN - SCOPUS:85213330629
SN - 9783031768057
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 333
EP - 348
BT - HCI International 2024 – Late Breaking Papers - 26th International Conference on Human-Computer Interaction, HCII 2024, Proceedings
A2 - Coman, Adela
A2 - Vasilache, Simona
A2 - Fui-Hoon Nah, Fiona
A2 - Siau, Keng Leng
A2 - Wei, June
A2 - Margetis, George
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 29 June 2024 through 4 July 2024
ER -