Integrating collaborative context information with social media

A study of user perceptions

A-H Sarjanoja, Minna Isomursu, P Isomursu, J Häkkilä

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

2 Citations (Scopus)

Abstract

This paper explores the collaborative context, i.e. consolidated data summarizing context information for groups of people, in social media. The results are based on a user study combining an analysis of actual personal social media content, in-depth interviews and a triggered ESM (experience sampling method) inspired diary study. The results indicate that collaborative context data has the potential to increase the interest level of status updates. It offers possibility for summary representations of groups, and can be used as a possible source of motivation and inspiration arising from activities or behavior of a predefined group of peers
Original languageEnglish
Title of host publicationProceedings of the 25th Australian Computer-Human Interaction Conference
Subtitle of host publicationOzCHI '13
EditorsHaifeng Shen, Ross Smith, Jeni Paay, Paul Calder, Theodor Wyeld
Place of PublicationNew York, NY, USA
PublisherAssociation for Computing Machinery ACM
Pages437-446
ISBN (Print)978-1-4503-2525-7
DOIs
Publication statusPublished - 2013
MoE publication typeNot Eligible
Event25th Australian Computer-Human Interaction Conference: Augmentation, Application, Innovation, Collaboration, OzCHI 2013 - Adelaide, SA, Australia
Duration: 25 Nov 201329 Nov 2013

Conference

Conference25th Australian Computer-Human Interaction Conference: Augmentation, Application, Innovation, Collaboration, OzCHI 2013
Abbreviated titleOzCHI 2013
CountryAustralia
CityAdelaide, SA
Period25/11/1329/11/13

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Keywords

  • Collaborative context
  • context-awareness
  • social media
  • user studies

Cite this

Sarjanoja, A-H., Isomursu, M., Isomursu, P., & Häkkilä, J. (2013). Integrating collaborative context information with social media: A study of user perceptions. In H. Shen, R. Smith, J. Paay, P. Calder, & T. Wyeld (Eds.), Proceedings of the 25th Australian Computer-Human Interaction Conference: OzCHI '13 (pp. 437-446). New York, NY, USA: Association for Computing Machinery ACM. https://doi.org/10.1145/2541016.2541050
Sarjanoja, A-H ; Isomursu, Minna ; Isomursu, P ; Häkkilä, J. / Integrating collaborative context information with social media : A study of user perceptions. Proceedings of the 25th Australian Computer-Human Interaction Conference: OzCHI '13. editor / Haifeng Shen ; Ross Smith ; Jeni Paay ; Paul Calder ; Theodor Wyeld. New York, NY, USA : Association for Computing Machinery ACM, 2013. pp. 437-446
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abstract = "This paper explores the collaborative context, i.e. consolidated data summarizing context information for groups of people, in social media. The results are based on a user study combining an analysis of actual personal social media content, in-depth interviews and a triggered ESM (experience sampling method) inspired diary study. The results indicate that collaborative context data has the potential to increase the interest level of status updates. It offers possibility for summary representations of groups, and can be used as a possible source of motivation and inspiration arising from activities or behavior of a predefined group of peers",
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Sarjanoja, A-H, Isomursu, M, Isomursu, P & Häkkilä, J 2013, Integrating collaborative context information with social media: A study of user perceptions. in H Shen, R Smith, J Paay, P Calder & T Wyeld (eds), Proceedings of the 25th Australian Computer-Human Interaction Conference: OzCHI '13. Association for Computing Machinery ACM, New York, NY, USA, pp. 437-446, 25th Australian Computer-Human Interaction Conference: Augmentation, Application, Innovation, Collaboration, OzCHI 2013, Adelaide, SA, Australia, 25/11/13. https://doi.org/10.1145/2541016.2541050

Integrating collaborative context information with social media : A study of user perceptions. / Sarjanoja, A-H; Isomursu, Minna; Isomursu, P; Häkkilä, J.

Proceedings of the 25th Australian Computer-Human Interaction Conference: OzCHI '13. ed. / Haifeng Shen; Ross Smith; Jeni Paay; Paul Calder; Theodor Wyeld. New York, NY, USA : Association for Computing Machinery ACM, 2013. p. 437-446.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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T1 - Integrating collaborative context information with social media

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N2 - This paper explores the collaborative context, i.e. consolidated data summarizing context information for groups of people, in social media. The results are based on a user study combining an analysis of actual personal social media content, in-depth interviews and a triggered ESM (experience sampling method) inspired diary study. The results indicate that collaborative context data has the potential to increase the interest level of status updates. It offers possibility for summary representations of groups, and can be used as a possible source of motivation and inspiration arising from activities or behavior of a predefined group of peers

AB - This paper explores the collaborative context, i.e. consolidated data summarizing context information for groups of people, in social media. The results are based on a user study combining an analysis of actual personal social media content, in-depth interviews and a triggered ESM (experience sampling method) inspired diary study. The results indicate that collaborative context data has the potential to increase the interest level of status updates. It offers possibility for summary representations of groups, and can be used as a possible source of motivation and inspiration arising from activities or behavior of a predefined group of peers

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DO - 10.1145/2541016.2541050

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Sarjanoja A-H, Isomursu M, Isomursu P, Häkkilä J. Integrating collaborative context information with social media: A study of user perceptions. In Shen H, Smith R, Paay J, Calder P, Wyeld T, editors, Proceedings of the 25th Australian Computer-Human Interaction Conference: OzCHI '13. New York, NY, USA: Association for Computing Machinery ACM. 2013. p. 437-446 https://doi.org/10.1145/2541016.2541050