Personalization in the User Interaction Design

Sili, Miroslav; Garschall, Markus; Morandell, Martin; Hanke, Sten; Mayer, Christopher C.

doi:10.1007/978-3-319-39510-4_19

Cited by 6 publications

(5 citation statements)

References 18 publications

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“…This distinction emphasizes the role of the user and the autonomy of the system in the adaptation process [56,75]. Personalization is characterized by adaptivity [67,69]: A system adapts to the user, who is (almost) not involved in the process, by building a user profile based upon collected data. Customization is characterized by adaptability [67,69]: The user is more involved by having the possibility to adapt a product or a system to make it personally relevant.…”

Section: Personalization Vs Customizationmentioning

confidence: 99%

“…Personalization is characterized by adaptivity [67,69]: A system adapts to the user, who is (almost) not involved in the process, by building a user profile based upon collected data. Customization is characterized by adaptability [67,69]: The user is more involved by having the possibility to adapt a product or a system to make it personally relevant. Consequently, users are rather passive in personalization, but are more active in customization.…”

Section: Personalization Vs Customizationmentioning

confidence: 99%

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Who's in Charge?

Lacroix

Wullenkord

Eyssel

2023

Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction

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This paper presents a conceptual approach regarding robot-to-user adaptation, with a focus on the psychological effects of this adaptation process during human-robot interaction (HRI). This approach emphasizes the pertinent role of users in shaping adaptation processes. First, a literature review revealed perceived personal relevance as the central determinant of successful robot-to-user adaptation. Second, we distinguish two main types of adaptations which depend on the extent to which a user is involved: Personalization and customization. We then illustrate effects of personalization vs. customization on potential end users. In particular, anthropomorphism and psychological ownership should be taken into account in prospective research. Finally, we propose to interpret personalization and customization as two opposites of a continuum to guide future empirical research about robot adaptation, before suggesting some leads for future research about the psychological effects of adaptation processes in HRI. CCS CONCEPTS• Applied computing → Psychology; • Human-centered computing → HCI theory, concepts and models; Accessibility theory, concepts and paradigms.

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Section: Personalization Vs Customizationmentioning

confidence: 99%

Section: Personalization Vs Customizationmentioning

confidence: 99%

Who's in Charge?

Lacroix

Wullenkord

Eyssel

2023

Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction

View full text Add to dashboard Cite

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“…erefore, handling various users' requirements is challenging through a single "one-size-fits-all" user interface [30]. Furthermore, it ignores the accessibility and usability requirements for diverse user groups such as kids, adults, senior citizens, and technical and nontechnical users.…”

Section: Related Workmentioning

confidence: 99%

Perspectives on the Design, Challenges, and Evaluation of Smart TV User Interfaces

Khan

Khusro

Alam

et al. 2022

Scientific Programming

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The user interface (UI) is a primary source of interaction with a device. Since the introduction of graphical user interface (GUI), software engineers and designers have been trying to make user-friendly UIs for various computing devices, including smartphones, tablets, and computers. The modern smart TV also comes with built-in operating systems. However, little attention has been given to this prominent entertainment device, i.e., smart TV. The technological advancement and proliferation of smart TV enabled the manufacturer to provide rich functionalities and features; however, this richness resulted in more clutter and attention-demanding interfaces. Besides, smart TV is a lean-back supporting device having a diverse range of users. Therefore, smart TV’s usability and user experience (UX) are questionable due to diverse user interests and limited features of traditional remote controls. This study aimed to discuss and critically analyze the features and functionalities of the existing well-known smart TV UIs of various operating systems in the context of usability, cognition, and UX. Moreover, this study highlights the issues and challenges in the current smart TV UIs and recommends some research opportunities to cope with the smart TV UIs. This study further reports and validates some overlooked factors affecting smart TV UIs and UX. A subjective study and usability tests from diverse users are presented to validate these factors. The study concludes that a one-size-fits-all UI design is unsuitable for shared devices, i.e., smart TV. This study further recommends a personalized adaptive UI, which may enhance the learnability and UXs of the smart TV viewers.

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“…The rapid growing of complexity of User Interfaces associated with digital literacy issues have a high impact on the low rates of technology adoption among the older adults cohort. In addition, conventional User Interfaces are still designed in a "one-size-fitsall" manner that ignores all the accessibility requirements of older adults [25], [33]. Many older adults are not cognoscente with modern technology, consequently future interfaces must consider simple yet effective approaches to address usability issues [26].…”

Section: Introductionmentioning

confidence: 99%

“…The aim of an AUI is to improve the interaction between the user and User Interface by adapting aspects as the system layout distribution and available actions, according to the users current goals and needs. Yet, most of the approaches so far explored, do not provide real-time adaptation, but mainly adaptation based on user profile groups [33].…”

Section: Introductionmentioning

confidence: 99%

A Conceptual framework for Adaptive User Interfaces for older adults

Machado

Singh

Cruciani

et al. 2018

2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)

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Nowadays, information and communication technologies (ICT) have become part of our everyday life, enhancing the quality of life and promoting new forms of social interaction. Despite the numerous benefits of ICT, older adults still present low rates of ICT adoption compared to other population segments. The lack of accessible User Interfaces has been identified as a major barrier. Traditional User Interfaces follow a design for all approach, typically ignoring the needs of older adults. Recent research in Human-Computer Interaction (HCI) proposes adaptive User Interfaces to suit the individual users abilities. Nevertheless, most of the existing approaches perform adaptation based on user profile groups and do not provide personalized adaptation in real-time. This paper introduces a conceptual framework for developing real-time adaptive User Interfaces. The system aims to target most common issues among older adults, i.e. cognitive decline and vision loss. The developed conceptual framework also presents novel strategic techniques to assess cognitive load and vision related issues in an unobtrusive manner for the user.

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Personalization in the User Interaction Design

Cited by 6 publications

References 18 publications

Who's in Charge?

Who's in Charge?

Perspectives on the Design, Challenges, and Evaluation of Smart TV User Interfaces

A Conceptual framework for Adaptive User Interfaces for older adults

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