Forget-me-not: History-less Mobile Messaging
Mobile Behaviors
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Rost, Mattias
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Kitsos, Christos
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Morgan, Alexander
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Podlubny, Martin
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Romeo, Pietro
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Russo, Edoardo
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Chalmers, Matthew
Proceedings of the ACM CHI'16 Conference on Human Factors in Computing
Systems
2016-05-07
v.1
p.1904-1908
© Copyright 2016 ACM
Summary: Text messaging has long been a popular activity, and today smartphone apps
enable users to choose from a plethora of mobile messaging applications. While
we know a lot about SMS practices, we know less about practices of messaging
applications. In this paper, we take a first step to explore one ubiquitous
aspect of mobile messaging -- messaging history. We designed, built, and
trialled a mobile messaging application without history named forget-me-not.
The two-week trial showed that history-less messaging no longer supports
chit-chat as seen in e.g. WhatsApp, but is still considered conversational and
more 'engaging'. Participants expressed being lenient and relaxed about what
they wrote. Removing the history allowed us to gain insights into what uses
history has in other mobile messaging applications, such as planning events,
allowing for distractions, and maintaining multiple conversation threads.
Mapping Abstract Visual Feedback to a Dimensional Model of Emotion
Late-Breaking Works: Extending User Capabilities
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Wilson, Graham
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Romeo, Pietro
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Brewster, Stephen A.
Extended Abstracts of the ACM CHI'16 Conference on Human Factors in
Computing Systems
2016-05-07
v.2
p.1779-1787
© Copyright 2016 ACM
Summary: Recent HCI research has looked at conveying emotions through non-visual
modalities, such as vibrotactile and thermal feedback. However, emotion is
primarily conveyed through visual signals, and so this research aims to support
the design of emotional visual feedback. We adapt and extend the design of the
"pulsing amoeba" [29], and measure the emotion conveyed through the abstract
visual designs. It is a first step towards more holistic multimodal affective
feedback combining visual, auditory and tactile stimuli. An online survey
garnered valence and arousal ratings of 32 stimuli that varied in colour,
contour, pulse size and pulse speed. The results support previous research but
also provide new findings and highlight the effects of each individual visual
parameter on perceived emotion. We present a mapping of all stimulus
combinations onto the common two-dimensional valence-arousal model of emotion.