Crowd-Designed Motivation: Motivational Messages for Exercise Adherence
Based on Behavior Change Theory
Behavioral Change
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de Vries, Roelof A. J.
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Truong, Khiet P.
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Kwint, Sigrid
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Drossaert, Constance H. C.
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Evers, Vanessa
Proceedings of the ACM CHI'16 Conference on Human Factors in Computing
Systems
2016-05-07
v.1
p.297-308
© Copyright 2016 ACM
Summary: Developing motivational technology to support long-term behavior change is a
challenge. A solution is to incorporate insights from behavior change theory
and design technology to tailor to individual users. We carried out two studies
to investigate whether the processes of change, from the Transtheoretical
Model, can be effectively represented by motivational text messages. We
crowdsourced peer-designed text messages and coded them into categories based
on the processes of change. We evaluated whether people perceived messages
tailored to their stage of change as motivating. We found that crowdsourcing is
an effective method to design motivational messages. Our results indicate that
different messages are perceived as motivating depending on the stage of
behavior change a person is in. However, while motivational messages related to
later stages of change were perceived as motivational for those stages, the
motivational messages related to earlier stages of change were not. This
indicates that a person's stage of change may not be the (only) key factor that
determines behavior change. More individual factors need to be considered to
design effective motivational technology.
Combining social strategies and workload: a new design to reduce the
negative effects of task interruptions
CSCW
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de Vries, Roelof Anne Jelle
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Lohse, Manja
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Winterboer, Andi
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Groen, Frans C. A.
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Evers, Vanessa
Extended Abstracts of ACM CHI'13 Conference on Human Factors in Computing
Systems
2013-04-27
v.2
p.175-180
© Copyright 2013 ACM
Summary: Being interrupted by notifications and reminders is common while working. In
this study we consider whether system politeness reduces (negative) effects of
being interrupted by system requests. We carried out a 2 (polite vs. neutral
system request) x 2 (high vs. low mental load) between-participants experiment.
We measured annoyance, frustration and mental effort. Our results suggest that
social strategies can mitigate some of the negative effects, but that this
depends on the difficulty of the task. We discuss the implications of these
results for the design of interruptive system messages and for further research
into social computing.
Designing interruptive behaviors of a public environmental monitoring robot
Late-breaking reports/poster session
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Evers, Vanessa
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de Vries, Roelof
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Alvito, Paulo
Proceedings of the 6th International Conference on Human-Robot Interaction
2011-03-06
p.131-132
© Copyright 2011 ACM
Summary: This paper reports ongoing research to inform the design of a social robot
to monitor levels of pollutant gasses in the air. Next to licensed
environmental agents and immobile chemical sensors, mobile technologies such as
robotic agents are needed to collect complaints and smell descriptions from
humans in urban industrial areas. These robots will interact with members of
the public and ensure responsiveness and accuracy of responses. For robots to
be accepted as representative environmental monitoring agents and for people to
comply with robot instructions in the case of a calamity, social skills will be
important. In this paper we will describe the intelligent environment the
environmental robot is part of and discuss preliminary work to understand in
what way robot interruptions can be mitigated with help of social robot
behaviors.
Special NKOS Workshop on Networked Knowledge Organization Systems
Special Workshop
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Doerr, Martin
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Koch, Traugott
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Tudhope, Douglas
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de Vries, Repke
ECDL 2000: Proceedings of the European Conference on Digital Libraries
2000-09-18
p.502-505
© Copyright 2000 Springer-Verlag
Summary: This half-day workshop aims to provide an overview of research, development
and projects related to the usage of knowledge organization systems in Internet
based services and digital libraries. These systems can comprise thesauri and
other controlled lists of keywords, ontologies, classification systems,
taxonomies, clustering approaches, dictionaries, lexical databases, concept
maps/spaces, semantic road maps etc.
Design of a User Interface for Searching Documents Indexed with Controlled
Terms
Poster Presentations
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de Vries, R. E.
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Mars, N. J. I.
Proceedings of the 4th ERCIM Workshop on 'User Interfaces for All'
1998-10-19
n.19
p.2
ERCIM
Summary: Though information systems using controlled language for indexing and
searching (classification systems, subject headings and thesauri) have a longer
tradition, many retrieval systems today are based on free-text searching: the
natural language of words in titles, abstracts or the full text of documents.
Both research and common experience have by now identified the relative
weaknesses and strengths of these two approaches. For example from a summary
given by Aitchison et al.: for controlled language "an artificial language has
to be learned by a searcher, [but] the burden of searching is eased [because
it] controls synonyms [..] and leads [from] specific natural language concepts
to the nearest preferred terms [..] [and] avoids precision loss through
over-exhaustivity" whereas for natural language "words and phrases used by
searcher are [his own], [but] the intellectual effort is placed on searcher
[and] exhaustivity may lead to loss of precision".
