Availability and Boundary Management

Schuß, Martina; Gross, Tom

doi:10.1145/3290607.3313088

Cited by 2 publications

(2 citation statements)

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“…The authors hypothesize that clusters represent different app usage profiles, which they assume to correlate with individuals roles -professional, family, and leisure. The application of social roles in interruption management has been proposed in several works [3,4,26,68]. Gonzalez et al motivate the use of working spheres -a concept to describe in which ways individuals organize their work [26].…”

Section: Social Contexts and And Their Applicationmentioning

confidence: 99%

“…They find that distinctive sets of applications relate to individuals' private and work roles. Schuß et al investigate life domains and the availability preferences of parents and children [68]. An interview study with 10 participants reveals 9 different life domains of which occupation (work), parenting, partner, and extended family (private) are rated as relevant.…”

Section: Social Contexts and And Their Applicationmentioning

confidence: 99%

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Towards Social Role-Based Interruptibility Management

Anderson,

Heinisch,

Deldari

et al. 2021

Preprint

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Managing individuals' attention and interruptibility is still a challenging task in the field of human-computer interaction. Individuals' intrinsic interruptibility preferences are often established for and across different social roles and life domains, which have not yet been captured by modeling short-term opportunities alone. This paper investigates the applicability of social role theory and boundary management as theoretical underpinnings for analyzing social roles and their associated interruptibility preferences. We conducted an in-the-wild study with 16 participants for five weeks to collect individuals' social roles, interruptibility preferences, application usage and spatio-temporal information. A paired t-test shows that interruptibility models are significantly improved by incorporating individuals' self-reported social roles, achieving a F1 score of 0.73 for classifying 4 different interruptibility preferences. We design and evaluate social role classification models based on spatio-temporal and application based features. We then combined social role and interruptibility classifiers in a novel two-stage interruptibility model that first infers individuals' social roles to finally predict individuals' interruptibility preferences. The two-stage interruptibility model achieves a F1 score of 0.70. Finally, we examine the influence of multi-device data on social role and interruptibility classification performances. Our findings break new grounds and provide new insights for the design of future interruption management systems.CCS Concepts: • Human-centered computing → Ubiquitous and mobile computing; HCI theory, concepts and models.

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Section: Social Contexts and And Their Applicationmentioning

confidence: 99%

Section: Social Contexts and And Their Applicationmentioning

confidence: 99%