Comparison of Four Primary Methods for Coordinating the Interruption of People in Human-Computer Interaction

McFarlane, Daniel C.

doi:10.1207/s15327051hci1701_2

Cited by 345 publications

(387 citation statements)

References 42 publications

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“…Similar to McFarlane's conclusion, we found that giving people the control when to react to an interrupt might cause the side-effect that people always try to postpone interrupting alerts [17].…”

Section: Discussionsupporting

confidence: 85%

Finding the Right Way for Interrupting People Improving Their Sitting Posture

Haller

Richter

Brandl

et al. 2011

Lecture Notes in Computer Science

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Abstract. In this paper, we present three different ways of interrupting people to posture guidance. We developed an ergonomically adjustable office chair equipped with four sensors measuring the office worker's posture. It is important that users do some training after bad posture and be alerted of this; therefore, we implemented three different alert modalities (Graphical Feedback, Physical Feedback, and Vibrotactile Feedback), with the goal to find out which of the techniques is the most effective interruption modality without causing a huge disruption effect. To measure the task-performance, we conducted a formal user study. Our user study results show there are different effects on performance and disruptiveness caused by the three interruption techniques. While the vibrotactile feedback might have higher information awareness benefits at the beginning, it causes a huge intrusion side-effect. Thus, the physical feedback was rated less disruptive to the workflow as the other two feedback modalities.

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Section: Discussionsupporting

confidence: 85%

Finding the Right Way for Interrupting People Improving Their Sitting Posture

Haller

Richter

Brandl

et al. 2011

Lecture Notes in Computer Science

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“…Many different experience sampling techniques have been proposed to accurately elicit data labels from users in order to build classifiers including diary studies [3], device-initiated questions at different intervals of time [10,20], and based on contextawareness [11] and previous labels [26]. The active learning literature have also proposed a variety of ways to choose which data should be labeled [1,12,17,18].…”

Section: Related Workmentioning

confidence: 99%

Using Decision-Theoretic Experience Sampling to Build Personalized Mobile Phone Interruption Models

Rosenthal

Dey

Veloso

2011

Lecture Notes in Computer Science

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Abstract. We contribute a method for approximating users' interruptibility costs to use for experience sampling and validate the method in an application that learns when to automatically turn off and on the phone volume to avoid embarrassing phone interruptions. We demonstrate that users have varying costs associated with interruptions which indicates the need for personalized cost approximations. We compare different experience sampling techniques to learn users' volume preferences and show those that ask when our cost approximation is low reduce the number of embarrassing interruptions and result in more accurate volume classifiers when deployed for long-term use.

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“…Another solution has an autonomous broker dynamically decide when best to interrupt the user (mediated), or to always hold all interruptions and deliver them at a prearranged time (scheduled)'' (McFarlane & Latorella, 2002, p. 5). On the basis of a set of experiments comparing these interruption methodologies, McFarlane (2002) concludes that in most situations negotiation is the best choice.…”

Section: Evaluating Alternative Focimentioning

confidence: 99%

Attention aware systems: Theories, applications, and research agenda

Roda

Thomas

2006

Computers in Human Behavior

140

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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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Comparison of Four Primary Methods for Coordinating the Interruption of People in Human-Computer Interaction

Cited by 345 publications

References 42 publications

Finding the Right Way for Interrupting People Improving Their Sitting Posture

Finding the Right Way for Interrupting People Improving Their Sitting Posture

Using Decision-Theoretic Experience Sampling to Build Personalized Mobile Phone Interruption Models

Attention aware systems: Theories, applications, and research agenda

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