Computer usage in daily life

Beauvisage, Thomas

doi:10.1145/1518701.1518791

Cited by 44 publications

(30 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The seminal work in that fold is that of Muttka and Livny [12], who studied system idle times, finding that desktop workstations, even in 1990, were idle much of the time. More recent work [4,1] confirms that this remains the case today. Unfortunately, the traces collected from such studies cannot be used to analyze DPM policies since they are too coarse grained, and/or do not capture HID events.…”

Section: Related Workmentioning

confidence: 77%

Display power management policies in practice

Tarzia

Dinda

Dick

et al. 2010

Proceedings of the 7th International Conference on Autonomic Computing

View full text Add to dashboard Cite

We present the first study of the real-world behavior of display power management (DPM) policies. DPM policies control the mechanism of powering on and off the displayturning off the display typically reduces total system power by ∼31%. The most widely used DPM policy, human interface device (HID) timeout, powers off the display after a user-configurable period of human interface device inactivity, and powers it back on in response to activity. To increase energy savings, we also consider an alternative policy, user presence detection, that uses sonar sensing to power off the display when user absence is detected. Our study captures how these DPM policies work "in the wild", both in terms of energy savings and the user irritation. We also determine the maximum energy saving opportunity for any DPM policy, based on measured behavior. Our study, based on a 3,738 hours of computer usage by 181 volunteers with different machines, reveals several surprising results. User idle periods follow power law distributions with little temporal correlation. The maximum possible reduction in energy used for the display is 81%, while the HID timeout policy manages to reduce this energy by 51%. Many users have already customized the HID timeout policy on their machines, resulting in a high variation of timeout values, and surprisingly low levels of user irritation. However, the 44% of users that have not customized HID timeouts experience more irritation. The proposed user presence detection policy, when effective, further reduces display energy consumption by 10% when combined with the HID timeout policy. 40% of the 2,869 machines tested can effectively generate and record ultrasound for sonar.

show abstract

Section: Related Workmentioning

confidence: 77%

Display power management policies in practice

Tarzia

Dinda

Dick

et al. 2010

Proceedings of the 7th International Conference on Autonomic Computing

View full text Add to dashboard Cite

show abstract

“…Consequently, the themes of these had been chosen according to a study of computer usage statistics carried out by Beauvisage (2009), which presented the average distribution of individual weekly computer usage. Notably, the study showed that the four categories identified and selected for the study presented herein, occupy the highest percentages of time spent on computer usage for both households and individuals.…”

Section: Methodsmentioning

confidence: 99%

Affective state detection via facial expression analysis within a human–computer interaction context

Samara

Galway

Bond

et al. 2017

J Ambient Intell Human Comput

View full text Add to dashboard Cite

The advancement in technology indicates that there is an opportunity to enhance human-computer interaction by way of affective state recognition. Affective state recognition is typically based on passive stimuli such as watching video clips, which does not reflect genuine interaction. This paper presents a study on affective state recognition using active stimuli, i.e. facial expressions of users when they attempt computerised tasks, particularly across typical usage of computer systems. A data collection experiment is presented for acquiring data from normal users whilst they interact with software, attempting to complete a set of predefined tasks. In addition, a hierarchical machine learning approach is presented for facial expression-based affective state recognition, which employs an Euclidean distance-based feature representation, conjointly with a customised encoding for users' self-reported affective states. Consequently, the aim is to find the potential relationship between the facial expressions, as defined by Paul Ekman, and the self-reported emotional states specified by users using Russells Circumplex model, in relation to the actual feelings and affective states. The main findings of this study suggest that facial expressions cannot precisely reveal the actual feelings of users whilst interacting with common computerised tasks. Moreover, during active interaction tasks more variation occurs within the facial expressions of participants than occurs within passive interaction.

show abstract

“…Studies in the domestic use of time have paid some attention to the use of ICTs, but have in many instances (c.f. Beauvisage, 2009) reified a particular conceptualisation of time-asduration, and said less about the affective dimensions of temporality. Both Southerton (2006) and Michelson (2005) therefore suggest a shift in focus with respect to time use, looking towards the qualities of time rather than simply its duration (see also Wacjman, 2008).…”

Section: Home Cultures and Ict Consumption Practicesmentioning

confidence: 99%

Are We Sitting Comfortably? Domestic Imaginaries, Laptop Practices, and Energy Use

et al. 2012

View full text Add to dashboard Cite

Are we sitting comfortably? Domestic imaginaries, laptop computing practices, and energy use.Word Count: 8,910 (excluding references) AbstractThe considerable literature on domestic consumption practices has tended to focus on either the (re)production and contestation of normative imaginaries, or the links between escalating standards and energy use. Far less has been written which links these related areas together. Accordingly this paper is positioned at the intersection of debates on domestic consumption, energy use and home cultures. Through a qualitative study of laptop use in the home, we illustrate how energy intensive practices such as multi-tasking and alwayson-ness, and changing computer ecologies are intimately bound up with the reproduction of particular domestic imaginaries of family and home. A key insight in this paper is that a purely physiological conception of comfort would fail to fully explain why practices such as multi-tasking and always-on-ness emerge, and thus we theorise comfort as an accomplishment comprised of inseparable temporal, bodily, spatial and material elements. Ultimately we argue here that comfort needs to be understood as a multi-valent imaginary that is itself bound up in broader idealised notions of family and home in order to understand shifting practices, computing ecologies and energy consumption.

show abstract

Computer usage in daily life

Cited by 44 publications

References 20 publications

Display power management policies in practice

Display power management policies in practice

Affective state detection via facial expression analysis within a human–computer interaction context

Are We Sitting Comfortably? Domestic Imaginaries, Laptop Practices, and Energy Use

Contact Info

Product

Resources

About