Motivate: context aware mobile application for activity recommendation

Y. Lin; A.J. Jessurun; B. Vries, de; H.J.P. Timmermans

doi:10.1007/978-3-642-25167-2_27

Motivate: context aware mobile application for activity recommendation

Y. Lin
, A.J. Jessurun
, B. Vries, de
, H.J.P. Timmermans

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

9 Citations (Scopus)

346 Downloads (Pure)

Abstract

This paper presents the design, implementation and evaluation of a context-aware recommendation system that promotes the adoption of a healthy and active lifestyle. A Smartphone application that provides personalized and contextualized advice based on geo information, weather, user location and agenda was developed and evaluated by a user study. The results show the potential of this mobile application in triggering behavior change by suggesting simple daily activities.

Original language	English
Title of host publication	Second International Joint Conference on Ambient Intelligence, Amsterdam, November 2011
Editors	D. Keyson
Place of Publication	Berlin
Publisher	Springer
Pages	210-214
ISBN (Print)	978-3-642-25166-5
DOIs	https://doi.org/10.1007/978-3-642-25167-2_27
Publication status	Published - 2011
Event	2nd International Joint Conference on Ambient Intelligence (Ami 2011) - Amsterdam, Netherlands Duration: 16 Nov 2011 → 18 Nov 2011 Conference number: 2

Publication series

Name	Lecture Notes in Computer Science
Volume	7040
ISSN (Print)	0302-9743

Conference

Conference	2nd International Joint Conference on Ambient Intelligence (Ami 2011)
Abbreviated title	Ami 2011
Country/Territory	Netherlands
City	Amsterdam
Period	16/11/11 → 18/11/11
Other	Second International Joint Conference on Ambient Intelligence, Amsterdam, November 2011

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10.1007/978-3-642-25167-2_27

580853631903281Final author version , 221 KB
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Cite this

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title = "Motivate: context aware mobile application for activity recommendation",

abstract = "This paper presents the design, implementation and evaluation of a context-aware recommendation system that promotes the adoption of a healthy and active lifestyle. A Smartphone application that provides personalized and contextualized advice based on geo information, weather, user location and agenda was developed and evaluated by a user study. The results show the potential of this mobile application in triggering behavior change by suggesting simple daily activities.",

author = "Y. Lin and A.J. Jessurun and \{Vries, de\}, B. and H.J.P. Timmermans",

year = "2011",

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language = "English",

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publisher = "Springer",

pages = "210--214",

editor = "D. Keyson",

booktitle = "Second International Joint Conference on Ambient Intelligence, Amsterdam, November 2011",

address = "Germany",

note = "2nd International Joint Conference on Ambient Intelligence (Ami 2011), Ami 2011 ; Conference date: 16-11-2011 Through 18-11-2011",

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Lin, Y, Jessurun, AJ, Vries, de, B & Timmermans, HJP 2011, Motivate: context aware mobile application for activity recommendation. in D Keyson (ed.), Second International Joint Conference on Ambient Intelligence, Amsterdam, November 2011. Lecture Notes in Computer Science, vol. 7040, Springer, Berlin, pp. 210-214, 2nd International Joint Conference on Ambient Intelligence (Ami 2011), Amsterdam, Netherlands, 16/11/11. https://doi.org/10.1007/978-3-642-25167-2_27

Motivate: context aware mobile application for activity recommendation. / Lin, Y.; Jessurun, A.J.; Vries, de, B. et al.
Second International Joint Conference on Ambient Intelligence, Amsterdam, November 2011. ed. / D. Keyson. Berlin: Springer, 2011. p. 210-214 (Lecture Notes in Computer Science; Vol. 7040).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

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AU - Jessurun, A.J.

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AU - Timmermans, H.J.P.

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PY - 2011

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AB - This paper presents the design, implementation and evaluation of a context-aware recommendation system that promotes the adoption of a healthy and active lifestyle. A Smartphone application that provides personalized and contextualized advice based on geo information, weather, user location and agenda was developed and evaluated by a user study. The results show the potential of this mobile application in triggering behavior change by suggesting simple daily activities.

U2 - 10.1007/978-3-642-25167-2_27

DO - 10.1007/978-3-642-25167-2_27

M3 - Conference contribution

SN - 978-3-642-25166-5

T3 - Lecture Notes in Computer Science

SP - 210

EP - 214

BT - Second International Joint Conference on Ambient Intelligence, Amsterdam, November 2011

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CY - Berlin

T2 - 2nd International Joint Conference on Ambient Intelligence (Ami 2011)

Y2 - 16 November 2011 through 18 November 2011

ER -

Motivate: context aware mobile application for activity recommendation

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Conference

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