Usability trade-offs for adaptive user interfaces

Paymans, Tim F.; Lindenberg, J.; Neerincx, Mark A.

doi:10.1145/964442.964512

Cited by 49 publications

(22 citation statements)

References 8 publications

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“…The results of those studies proved that adaptivity implemented on systems facilitated quick and efficient user interaction. Paymans, Lindenberg, and Neerincx () found that user support of adaptive applications improved EoU. Hence, this study formulated the following hypotheses:…”

Section: Literature Reviewmentioning

confidence: 89%

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Exploring Adaptivity in Service Development: The Case of Mobile Platforms

Başoğlu¹,

Daim²,

Polat³

2013

J of Product Innov Manag

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Together with the developing technologies of a fast-evolving Web environment, computers, and handheld devices, human-computer IntroductionI nformation is the absolute means for social beings to improve themselves, control the environment, and organize their relations with nature and other people. However, with today's fast-evolving technologies and Internet environment, information is everywhere at any time. The challenge is obtaining useful information and dealing with that information with the utmost ease through interaction with computers. Human computer interaction occurs at the user interface, which has a distinct role in determining acceptance of a system. Based on the technology acceptance model (TAM), a model that explains how information systems users accept a technology when they are presented with a new one, acceptance of a system is explained as a function of perceived usefulness (PU) and perceived ease of use (PEOU). There are several external variables that impact PU and PEOU, and those external factors affect system acceptance indirectly (Davis, Bagozzi, and Warshaw, 1989). The content and interface design of every single application should be addressed accordingly in a way to enhance the consumer's attitude about using the system by considering the related impact of external variables through system usage. Adding adaptivity into systems may be one of the ways to do so. This paper explores potential external variables that impact mobile system acceptance and the effects of those variables through the limited interface of a mobile device. We expect that different external variables have different impacts on PEOU and PU, and that adaptivity, one of the external variables that we mostly dwell upon, enhances both ease of use (EoU) and usefulness, and indirectly influences behavioral attitudes in mobile system adoption. Also, these external variables are expected to have effects on each other, which influences mobile information systems (IS) acceptance through mediation of PEOU, PU, and behavioral attitude. Prior to this study, in order to provide a more realistic set of variables as input to the final framework, several mobile user interface designs and prototypes were developed; and usability testings, questionnaires, in-depth interviews, and a brainstorming session occurred, where the framework (an experimental study) was tested with a quantitative model.The framework provided here would help mobile platform developers to finetune their system features, including both product and service features, depending on the market segment of each product derived out of a platform. This study used a mobile travel guide service as the application platform. Literature ReviewResearch has several streams related to our objectives. Many researchers in many studies and applications have delved into user interfaces, the interaction layer of the human-computer relationship, and the research has been conducted from several perspectives, including a significant amount of work specifically in the adoption of informati...

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Section: Literature Reviewmentioning

confidence: 89%

“…To decrease this negative effect, Paymans et al. () developed a user support concept that is deployed in a context‐aware mobile device with an adaptive user interface. Results indicated that user support improved EoU while it reduced learnability.…”

Section: Literature Reviewmentioning

confidence: 99%

Exploring Adaptivity in Service Development: The Case of Mobile Platforms

Başoğlu¹,

Daim²,

Polat³

2013

J of Product Innov Manag

View full text Add to dashboard Cite

show abstract

“…Mental Model questionnaire pretest and post test results. [35] Subjective Metrics: Metrics based on user feedback S1. Number of learnability related user comments.…”

Section: Chi 2009 ~ Metrics April 7th 2009 ~ Boston Ma Usamentioning

confidence: 99%

A survey of software learnability

Grossman

Fitzmaurice

Attar

2009

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

200

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It is well-accepted that learnability is an important aspect of usability, yet there is little agreement as to how learnability should be defined, measured, and evaluated. In this paper, we present a survey of the previous definitions, metrics, and evaluation methodologies which have been used for software learnability. Our survey of evaluation methodologies leads us to a new question-suggestion protocol, which, in a user study, was shown to expose a significantly higher number of learnability issues in comparison to a more traditional think-aloud protocol. Based on the issues identified in our study, we present a classification system of learnability issues, and demonstrate how these categories can lead to guidelines for addressing the associated challenges.

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“…To decrease this negative effect, Paymans, Lindenberg and Neerincx developed a user support concept and applied it to a context-aware mobile device with an adaptive user interface. Results indicated that user support improved ease of use, but reduced learnability [26]. Park, Han, Park and Cho explored the effectiveness of adaptable and adaptive menus in desktop applications.…”

Section: Literature Reviewmentioning

confidence: 99%

Effects of Adaptivity and Other External Variables on Mobile Service Adoption

2009

2009 42nd Hawaii International Conference on System Sciences

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User Interface between user and information systems has a great role in system adoption. Based on technology acceptance model, acceptance of a system is explained as a function of perceived usefulness and perceived ease of use. Since there are several external variables that have an impact on perceived usefulness and perceived ease of use, the content and interface design of every single application should be addressed accordingly to enhance users intention to use the system. We propose that adding adaptive features into systems may be one of the approaches to address this phenomenon. This paper identifies external variables including adaptive behavior impacting acceptance of mobile reservation system through two prototypes.

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Usability trade-offs for adaptive user interfaces

Cited by 49 publications

References 8 publications

Exploring Adaptivity in Service Development: The Case of Mobile Platforms

Exploring Adaptivity in Service Development: The Case of Mobile Platforms

A survey of software learnability

Effects of Adaptivity and Other External Variables on Mobile Service Adoption

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