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28
Exploring the design space for adaptive graphical user interfaces
- In Proceedings of AVI ’06
, 2006
"... For decades, researchers have presented different adaptive user interfaces and discussed the pros and cons of adaptation on task performance and satisfaction. Little research, however, has been directed at isolating and understanding those aspects of adaptive interfaces which make some of them succe ..."
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Cited by 60 (10 self)
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For decades, researchers have presented different adaptive user interfaces and discussed the pros and cons of adaptation on task performance and satisfaction. Little research, however, has been directed at isolating and understanding those aspects of adaptive interfaces which make some of them successful and others not. We have designed and implemented three adaptive graphical interfaces and evaluated them in two experiments along with a nonadaptive baseline. In this paper we synthesize our results with previous work and discuss how different design choices and interactions affect the success of adaptive graphical user interfaces.
Preference Elicitation for Interface Optimization
- In Proceedings of UIST 2005
, 2005
"... Decision-theoretic optimization is becoming a popular tool in the user interface community, but creating accurate cost (or utility) functions has become a bottleneck --- in most cases the numerous parameters of these functions are chosen manually, which is a tedious and error-prone process. This pap ..."
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Cited by 48 (11 self)
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Decision-theoretic optimization is becoming a popular tool in the user interface community, but creating accurate cost (or utility) functions has become a bottleneck --- in most cases the numerous parameters of these functions are chosen manually, which is a tedious and error-prone process. This paper describes ARNAULD, a general interactive tool for eliciting user preferences concerning concrete outcomes and using this feedback to automatically learn a factored cost function. We empirically evaluate our machine learning algorithm and two automatic query generation approaches and report on an informal user study.
Improving the performance of motor-impaired users with automaticallygenerated, ability-based interfaces
- In CHI’08
, 2008
"... We evaluate two systems for automatically generating personalized interfaces adapted to the individual motor capabilities of users with motor impairments. The first system, SUPPLE, adapts to users ’ capabilities indirectly by first using the ARNAULD preference elicitation engine to model a user’s pr ..."
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Cited by 39 (11 self)
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We evaluate two systems for automatically generating personalized interfaces adapted to the individual motor capabilities of users with motor impairments. The first system, SUPPLE, adapts to users ’ capabilities indirectly by first using the ARNAULD preference elicitation engine to model a user’s preferences regarding how he or she likes the interfaces to be created. The second system, SUPPLE++, models a user’s motor abilities directly from a set of one-time motor performance tests. In a study comparing these approaches to baseline interfaces, participants with motor impairments were 26.4 % faster using ability-based user interfaces generated by SUPPLE++. They also made 73 % fewer errors, strongly preferred those interfaces to the manufacturers’ defaults, and found them more efficient, easier to use, and much less physically tiring. These findings indicate that rather than requiring some users with motor impairments to adapt themselves to software using separate assistive technologies, software can now adapt itself to the capabilities of its users.
Impact of Screen Size on Performance, Awareness, and User Satisfaction With Adaptive Graphical User Interfaces
"... Adaptive personalization, where the system adapts the interface to a user’s needs, has the potential for significant performance benefits on small screen devices. However, research on adaptive interfaces has almost exclusively focused on desktop displays. To explore how well previous findings genera ..."
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Cited by 35 (6 self)
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Adaptive personalization, where the system adapts the interface to a user’s needs, has the potential for significant performance benefits on small screen devices. However, research on adaptive interfaces has almost exclusively focused on desktop displays. To explore how well previous findings generalize to small screen devices, we conducted a study with 36 subjects to compare adaptive interfaces for small and desktop-sized screens. Results show that high accuracy adaptive menus have an even larger positive impact on performance and satisfaction when screen real estate is constrained. The drawback of the high accuracy menus, however, is that they reduce the user’s awareness of the full set of items in the interface, potentially making it more difficult for users to learn about new features. Author Keywords Adaptive interfaces, personalization, small screen devices, menu design, user study, interaction techniques. ACM Classification Keywords H.5.2 [User Interfaces]: Evaluation/methodology, interaction styles.
Supporting Interface Customization using a Mixed-Initiative Approach
- IUI'07
, 2007
"... We describe a mixed-initiative framework designed to support the customization of complex graphical user interfaces. The framework uses an innovative form of online GOMS analysis to provide the user with tailored customization suggestions aimed at maximizing the user’s performance with the interface ..."
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Cited by 32 (10 self)
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We describe a mixed-initiative framework designed to support the customization of complex graphical user interfaces. The framework uses an innovative form of online GOMS analysis to provide the user with tailored customization suggestions aimed at maximizing the user’s performance with the interface. The suggestions are presented non-intrusively, minimizing disruption and allowing the user to maintain full control. The framework has been applied to a general userproductivity application. A formal user evaluation of the system provides encouraging evidence that this mixedinitiative approach is preferred to a purely adaptable alternative and that the system’s suggestions help improve task performance.
Ephemeral Adaptation: The Use of Gradual Onset to Improve Menu Selection Performance
"... We introduce ephemeral adaptation, a new adaptive GUI technique that improves performance by reducing visual search time while maintaining spatial consistency. Ephemeral adaptive interfaces employ gradual onset to draw the user’s attention to predicted items: adaptively predicted items appear abrupt ..."
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Cited by 31 (6 self)
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We introduce ephemeral adaptation, a new adaptive GUI technique that improves performance by reducing visual search time while maintaining spatial consistency. Ephemeral adaptive interfaces employ gradual onset to draw the user’s attention to predicted items: adaptively predicted items appear abruptly when the menu is opened, but non-predicted items fade in gradually. To demonstrate the benefit of ephemeral adaptation we conducted two experiments with a total of 48 users to show: (1) that ephemeral adaptive menus are faster than static menus when accuracy is high, and are not significantly slower when it is low and (2) that ephemeral adaptive menus are also faster than adaptive highlighting. While we focused on user-adaptive GUIs, ephemeral adaptation should be applicable to a broad range of visually complex tasks. Author Keywords Adaptive interfaces, personalization, abrupt visual onset, menu design, user study, interaction techniques. ACM Classification Keywords H.5.2 [User Interfaces]: Evaluation/methodology, interaction styles.
Beyond Performance: Feature Awareness in Personalized Interfaces
"... Personalized graphical user interfaces have the potential to reduce visual complexity and improve interaction efficiency by tailoring elements such as menus and toolbars to better suit an individual user's needs. When an interface is personalized to make useful features more accessible for a us ..."
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Cited by 11 (1 self)
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Personalized graphical user interfaces have the potential to reduce visual complexity and improve interaction efficiency by tailoring elements such as menus and toolbars to better suit an individual user's needs. When an interface is personalized to make useful features more accessible for a user's current task, however, there may be a negative impact on the user's awareness of the full set of available features, making future tasks more difficult. To assess this tradeoff we introduce awareness as an evaluation metric to be used in conjunction with performance. We then discuss three studies we have conducted, which show that personalized interfaces trade off awareness of unused features for performance gains on core tasks. The first two studies, previously published and presented only in summary, demonstrate this tradeoff by measuring awareness using a recognition test of unused features in the interface. The studies also evaluated two different types of personalized interfaces: a layered interfaces approach and an adaptive split menu approach. The third study, presented in full, focuses on adaptive split menus and extends results from the first two studies to show that different levels of awareness also correspond to an impact on performance when users are asked to complete new tasks. Based on all three studies and a survey of related work, we outline a design space of personalized interfaces and present several factors that could affect the tradeoff between core task performance and awareness. Finally, we provide a set of design implications that should be considered for personalized interfaces.
A Model-Based Approach to Supporting Configuration in Ubiquitous Systems
- In Design, Specification and Verification of Interactive Systems 2008
, 2008
"... Abstract. This paper presents an approach for representing, and providing computer support for, the configuration of interactive systems, particularly ubiquitous systems, that offers a flexible method for combining a wide range of configuration techniques. There are many existing techniques offering ..."
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Cited by 10 (4 self)
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Abstract. This paper presents an approach for representing, and providing computer support for, the configuration of interactive systems, particularly ubiquitous systems, that offers a flexible method for combining a wide range of configuration techniques. There are many existing techniques offering dynamic adaptation, ranging from fully automatic through context-sensitive to user-driven. We propose a model that unifies all of these techniques and offers a rich choice of ways of combining them, based on the concept of configuration possibilities, evaluation functions applicable to sets of these possibilities and approaches for parameterising the functions and combining the results. We present a concept demonstrator implementation of the model, designed for home care systems, and describe a set of use cases based on this prototype implementation that illustrate the power and flexibility of the approach.
Decision-theoretic user interface generation
- In Proc. of the 22nd AAAI Conf. on Artificial Intelligence (AAAI-08
, 2008
"... For decades, researchers have debated the pros and cons of adaptive user interfaces with enthusiastic AI practitioners often confronting skeptical HCI experts (Shneiderman & Maes, 1997). This paper summarizes the SUPPLE project’s ..."
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Cited by 7 (2 self)
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For decades, researchers have debated the pros and cons of adaptive user interfaces with enthusiastic AI practitioners often confronting skeptical HCI experts (Shneiderman & Maes, 1997). This paper summarizes the SUPPLE project’s
A.: Automatically Adapting Web Sites for Mobile Access through Logical Descriptions and Dynamic Analysis of Interaction Resources
- In: AVI 2008
, 2008
"... While several solutions for desktop user interface adaptation for mobile access have been proposed, there is still a lack of solutions able to automatically generate mobile versions taking semantic aspects into account. In this paper, we propose a general solution able to dynamically build logical d ..."
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Cited by 5 (3 self)
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While several solutions for desktop user interface adaptation for mobile access have been proposed, there is still a lack of solutions able to automatically generate mobile versions taking semantic aspects into account. In this paper, we propose a general solution able to dynamically build logical descriptions of existing desktop Web site implementations, adapt the design to the target mobile device, and generate an implementation that preserves the original communications goals while taking into account the actual resources available in the target device. We describe the novel transformations supported by our new solution, show example applications and report on first user tests.