The Role of ICT in Office Work Breaks
Workplace Social Performance
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Skatova, Anya
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Bedwell, Ben
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Shipp, Victoria
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Huang, Yitong
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Young, Alexandra
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Rodden, Tom
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Bertenshaw, Emma
Proceedings of the ACM CHI'16 Conference on Human Factors in Computing
Systems
2016-05-07
v.1
p.3049-3060
© Copyright 2016 ACM
Summary: Break activities -- deliberate and unexpected -- are common throughout the
working day, playing an important role in the wellbeing of workers. This paper
investigates the role of increasingly pervasive ICT in creating new
opportunities for breaks at work, what impact the technology has on management
of boundaries at work, and the effects these changes have on personal
wellbeing. We present a study of the routines of office-workers, where we used
images from participants' work-days to prompt and contextualize interviews with
them. Analysis of coded photographs and interview data makes three
contributions: an account of ubiquitous ICT creating new forms of micro-breaks,
including the opportunity to employ previously wasted time; a description of
the ways in which staff increasingly bring "home to work"; and a discussion of
the emergence of "screen guilt". We evaluate our findings in relation to
previous studies, and leave three research implications and questions for
future work in this domain.
Datawear: Self-reflection on the Go or How to Ethically Use Wearable Cameras
for Research
Interactivity
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Skatova, Anya
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Shipp, Victoria E.
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Spacagna, Lee
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Bedwell, Benjamin
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Beltagui, Ahmad
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Rodden, Tom
Extended Abstracts of the ACM CHI'15 Conference on Human Factors in
Computing Systems
2015-04-18
v.2
p.323-326
© Copyright 2015 ACM
Summary: A growing number of studies use wearable sensors, including cameras, to
detect user activity patterns. When an object of academic investigation, these
patterns are interpreted by researchers and conclusions are drawn about
people's habits and routines. Alternatively, interpretations are provided by
users themselves during extensive post-study interviews. Such approaches
inevitably expose personal data collected about individuals to researchers,
which can potentially change the behavior under investigation. We introduce a
new approach to using wearable sensor data in research. It allows people to
interpret and self-reflect on their data and submit for investigation only
reflections, without sharing their raw data. In this interactivity, we present
and discuss the Datawear mobile application prototype, which is designed to
conduct "in the wild" studies of personal experiences.
Enhancing self-reflection with wearable sensors
Workshop summaries
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Kefalidou, Genovefa
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Skatova, Anya
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Brown, Michael
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Shipp, Victoria
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Pinchin, James
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Kelly, Paul
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Dix, Alan
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Sun, Xu
Proceedings of 2014 Conference on Human-Computer Interaction with Mobile
Devices and Services
2014-09-23
p.577-580
© Copyright 2014 ACM
Summary: Advances in ubiquitous technologies have changed the way humans interact
with the world around them. Technology has the power not only to inform and
perform but also to further peoples' experiences of the world. It has enhanced
the methodological approaches within the CHI research realm in terms of data
gathering (e.g. via wearable sensors) and sharing (e.g. via self-reflection
methods). While such methodologies have been mainly adopted in isolation,
exploring the implications and the synergy of them has yet to be fully
explored. This workshop brings together a multidisciplinary group of
researchers to explore and experience the use of wearable sensors with
self-reflection as a multi-method approach to conduct research and fully
experience the world on-the-go.
