Introduction: design and evaluation of notification user interfaces

McCrickard, D. Scott; Czerwinski, Mary; Bartram, Lyn

doi:10.1016/s1071-5819(03)00025-9

Cited by 72 publications

(32 citation statements)

References 5 publications

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“…Intelligent user interfaces are designed to observe and learn from users' actions, and accomplish personalized tasks. Examples include predicting the user's next command [Davison and Hirsh 1998], automatically completing forms [Hermens and Schlimmer 1993], maintaining calendars and emails [Dent et al 1992;Horvitz 1999;McCrickard et al 2003], assisting users in word processing tasks [Horvitz et al 1998;Liu 2003], and automatically generating user interfaces adapted to a person's abilities and preferences [Gajos et al 2010]. Most personal assistance programs analyze repetitive user behaviors, and automate the repetitions; in contrast, our system suggests useful commands that users have never used.…”

Section: Adaptive and Intelligent User Interfacesmentioning

confidence: 99%

Design and evaluation of a command recommendation system for software applications

Matejka

Grossman

et al. 2011

ACM Trans. Comput.-Hum. Interact.

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We examine the use of modern recommender system technology to aid command awareness in complex software applications. We first describe our adaptation of traditional recommender system algorithms to meet the unique requirements presented by the domain of software commands. A user study showed that our item-based collaborative filtering algorithm generates 2.1 times as many good suggestions as existing techniques. Motivated by these positive results, we propose a design space framework and its associated algorithms to support both global and contextual recommendations. To evaluate the algorithms, we developed the CommunityCommands plug-in for AutoCAD. This plug-in enabled us to perform a 6-week user study of real-time, within-application command recommendations in actual working environments. We report and visualize command usage behaviors during the study, and discuss how the recommendations affected users behaviors. In particular, we found that the plug-in successfully exposed users to new commands, as unique commands issued significantly increased.

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Section: Adaptive and Intelligent User Interfacesmentioning

confidence: 99%

Design and evaluation of a command recommendation system for software applications

Matejka

Grossman

et al. 2011

ACM Trans. Comput.-Hum. Interact.

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“…Although McCrickard and his colleagues concentrate on classic notification systems (i.e. systems that allow the user to monitor information related to secondary activities, see McCrickard, Czerwinski, & Bartram, 2003) their work promises to be applicable to more general attention aware systems that manage several types of information and evaluate if, when, and how to make it available to the user. Notification systems have been studied in a wide variety of application domains including messaging systems (Cutrell, Czerwinski, & Horvitz, 2001;Czerwinski, Cutrell, & Horvitz, 2000;, alerting in military operations (Obermayer & Nugent, 2000), and shared document annotation (Brush, Bargeron, Gupta, & Grudin, 2001).…”

Section: Presenting Alternative Foci or Maintaining The Current Focusmentioning

confidence: 99%

Attention aware systems: Theories, applications, and research agenda

Roda

Thomas

2006

Computers in Human Behavior

134

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Human perceptual and cognitive abilities are limited resources. Attention is the mechanism used to allocate such resources in the most effective way. Current technologies, in addition to allowing fast access to information and people, should be designed to support human attentional processes on which they impose further strain. This paper analyses the issues related to the design of systems capable of such support: attention aware systems. We introduce the research aimed at understanding and modelling human attentional processes, including perceptual and cognitive processes as studied in cognitive psychology, as well as rhetorical, aesthetic, and social aspects related to attentional mechanisms. We analyse current approaches to the design of attention aware systems along three major features: detection of user's current attentional state, detection and evaluation of possible alternative attentional states, strategies for focus switch or maintenance. Finally, we discuss the most promising research direction for the development of systems capable of supporting human attentional mechanisms.

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“…Because these functions must be shared with driving, notification systems are a critical and relatively unexplored research issue that may govern the success of IVIS [19]. Unlike the desktop domain, IVIS functions require timesharing with the safety-critical task of driving.…”

Section: Introductionmentioning

confidence: 99%

Collision warning design to mitigate driver distraction

Lee

Hoffman

Hayes

2004

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

158

109

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As computers and other information technology move into cars and trucks, distraction-related crashes are likely to become an important problem. This paper begins to address this problem by examining how alert strategy (graded and singlestage) and alert modality (haptic and auditory) affect how well collision warning systems mitigate distraction and direct drivers attention to the car ahead when it unexpectedly brakes. We conducted two experiments in which drivers interacted with an in-vehicle email system and a collision warning system signaled a braking lead vehicle. The first experiment showed that graded alerts led to a greater safety margin and a lower rate of inappropriate responses to nuisance warnings. A second experiment focused on attitudes toward the collision warning system and found that graded alerts were more trusted than single stage alerts and that haptic alerts, a vibrating seat in these experiments, were perceived as less annoying and more appropriate. Graded haptic alerts offer a promising approach to developing context aware computing in a safetycritical application.

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Introduction: design and evaluation of notification user interfaces

Cited by 72 publications

References 5 publications

Design and evaluation of a command recommendation system for software applications

Design and evaluation of a command recommendation system for software applications

Attention aware systems: Theories, applications, and research agenda

Collision warning design to mitigate driver distraction

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