In this paper we argue that persuasive technologies, developed to motivate behaviour change in users, have so far failed to exploit the established body of empirical research within behavioural science. We propose that persuasive technologies may benefit from both adapting to individual preferences, and a constructive use of aversive, in addition to appetitive, feedback. We detail an example application that demonstrates how this approach can be incorporated into an application designed to train users to adopt more environmentally friendly behaviours in their domestic kitchens.
%0 Conference Paper
%1 KirmanLinehanEtAl2010CHI
%A Kirman, Ben
%A Linehan, Conor
%A Lawson, Shaun
%A Foster, Derek
%A Doughty, Mark
%B Proceedings of the ACM Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA '10), Atlanta, GA, USA
%D 2010
%K 01624 acm paper embedded ai user interface interaction assist adaptive home energy zzz.spm
%P 2685--2694
%R 10.1145/1753846.1753852
%T There's a Monster in my Kitchen: Using Aversive Feedback to Motivate Behaviour Change
%X In this paper we argue that persuasive technologies, developed to motivate behaviour change in users, have so far failed to exploit the established body of empirical research within behavioural science. We propose that persuasive technologies may benefit from both adapting to individual preferences, and a constructive use of aversive, in addition to appetitive, feedback. We detail an example application that demonstrates how this approach can be incorporated into an application designed to train users to adopt more environmentally friendly behaviours in their domestic kitchens.
@inproceedings{KirmanLinehanEtAl2010CHI,
abstract = {In this paper we argue that persuasive technologies, developed to motivate behaviour change in users, have so far failed to exploit the established body of empirical research within behavioural science. We propose that persuasive technologies may benefit from both adapting to individual preferences, and a constructive use of aversive, in addition to appetitive, feedback. We detail an example application that demonstrates how this approach can be incorporated into an application designed to train users to adopt more environmentally friendly behaviours in their domestic kitchens.},
added-at = {2017-05-20T16:42:29.000+0200},
author = {Kirman, Ben and Linehan, Conor and Lawson, Shaun and Foster, Derek and Doughty, Mark},
biburl = {https://www.bibsonomy.org/bibtex/259756dc37d7562e7a6cdce509a6f8085/flint63},
booktitle = {Proceedings of the ACM Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA '10), Atlanta, GA, USA},
doi = {10.1145/1753846.1753852},
file = {ACM Digital Library:2010/KirmanLinehanEtAl2010CHI.pdf:PDF},
groups = {public},
interhash = {c130d3672a42abe2dcd832eb58778017},
intrahash = {59756dc37d7562e7a6cdce509a6f8085},
keywords = {01624 acm paper embedded ai user interface interaction assist adaptive home energy zzz.spm},
pages = {2685--2694},
timestamp = {2017-07-13T17:38:42.000+0200},
title = {There's a Monster in my Kitchen: Using Aversive Feedback to Motivate Behaviour Change},
username = {flint63},
year = 2010
}