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WiMo: location-based emotion tagging

Published: 22 November 2009 Publication History

Abstract

In this paper we introduce WiMo, a location-based social networking tool that enables users to share and store their emotional feelings about places. WiMo creates a mobile social network based on common interests and enables users to share not just information but also opinions, experiences and passions. The application uses a geo-emotional tagging system running on a GPS enabled mobile phone to ascribe emotions to places. In this paper we describe the development of an emotion tagging interface and present a case study scenario to situate the application in a real world setting. We then describe work-in-progress on the development of the WiMo prototype interface, and the interaction process for users. We further outline the features of the system and finally discuss next steps in the development of the application.

References

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http://biomapping.net/
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Damasio, A. 1994. Descartes' Error: Emotion, Reason and the Human Brain. Avon, New York.
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Scherer, K. R. 2005. What are emotions? And how can they be measured?". Social Science Information, 44(4), 693--727.
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Oulasvirta, A., Petit, R., Raento and Tiita, S. 2007. Interpreting and Acting Upon Mobile Awareness Cues. Human-Computer Interaction 22, pp. 97--135
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Hansson, R.,&Skog, T. 2001. The LoveBomb: Encouraging the communication of emotions in public spaces. Extended Abstracts of CHI'01. New York: ACM.
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Ames, M. and Naaman, M. 2007. Why we tag: motivations for annotation in mobile and online media. CHI '07. ACM.

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  • (2024)Mapping perceptions of topophilia and topophobia using a mobile app: A tale of two citiesMoravian Geographical Reports10.2478/mgr-2024-000832:2(90-100)Online publication date: 5-Jul-2024
  • (2022)Exploring large-scale spatial distribution of fear of crime by integrating small sample surveys and massive street view imagesEnvironment and Planning B: Urban Analytics and City Science10.1177/2399808322113560850:4(1104-1120)Online publication date: 25-Oct-2022
  • (2022)Exploring spatiotemporal changes in the multi-granularity emotions of people in the city: a case study of Nanchang, ChinaComputational Urban Science10.1007/s43762-021-00030-x2:1Online publication date: 4-Jan-2022
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Published In

cover image ACM Other conferences
MUM '09: Proceedings of the 8th International Conference on Mobile and Ubiquitous Multimedia
November 2009
150 pages
ISBN:9781605588469
DOI:10.1145/1658550
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

  • University of Cambridge: University of Cambridge
  • Microsoft Research: Microsoft Research
  • Nokia Research Center

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 November 2009

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Author Tags

  1. emotion
  2. location
  3. micro-blogging
  4. mobile
  5. social
  6. tagging

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  • Research-article

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MUM '09
Sponsor:
  • University of Cambridge
  • Microsoft Research

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Overall Acceptance Rate 190 of 465 submissions, 41%

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Cited By

View all
  • (2024)Mapping perceptions of topophilia and topophobia using a mobile app: A tale of two citiesMoravian Geographical Reports10.2478/mgr-2024-000832:2(90-100)Online publication date: 5-Jul-2024
  • (2022)Exploring large-scale spatial distribution of fear of crime by integrating small sample surveys and massive street view imagesEnvironment and Planning B: Urban Analytics and City Science10.1177/2399808322113560850:4(1104-1120)Online publication date: 25-Oct-2022
  • (2022)Exploring spatiotemporal changes in the multi-granularity emotions of people in the city: a case study of Nanchang, ChinaComputational Urban Science10.1007/s43762-021-00030-x2:1Online publication date: 4-Jan-2022
  • (2022)Using Crowdsensing to Uncover the Emotional and Subjective Well-Being Perceptions of Children in Underserved Urban EnvironmentsProceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2022)10.1007/978-3-031-21333-5_86(864-875)Online publication date: 21-Nov-2022
  • (2020)Analyzing the Relationships between Citizens’ Emotions and their Momentary Satisfaction in Urban Public SpacesSustainability10.3390/su1219792112:19(7921)Online publication date: 24-Sep-2020
  • (2020)CAM - Categorized Affect MapProceedings of the International Conference on Computing Advancements10.1145/3377049.3377074(1-4)Online publication date: 10-Jan-2020
  • (2020)Comparing the microsimulated pedestrian level of service with the users’ perception: The case of Thessaloniki, Greece, coastal frontTransportation Research Procedia10.1016/j.trpro.2020.03.05545(572-579)Online publication date: 2020
  • (2019)Proposal of an Operational Model to Measure Feelings and Emotions in Urban SpaceJournal of Landscape Ecology10.2478/jlecol-2019-001412:3(34-52)Online publication date: 30-Dec-2019
  • (2019)UrbanIxD: From Ethnography to Speculative Design Fictions for the Hybrid CityProceedings of the Halfway to the Future Symposium 201910.1145/3363384.3363486(1-10)Online publication date: 19-Nov-2019
  • (2019)Designing and evaluating mobile self-reporting techniquesPersonal and Ubiquitous Computing10.1007/s00779-019-01207-223:2(329-338)Online publication date: 1-Apr-2019
  • Show More Cited By

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