Analysing micro-location beacon gamification: Scenarios, types and characteristics

Nikolche Vasilevski; Jeffrey E. Brand; James R. Birt

doi:10.1145/3292147.3292210

Analysing micro-location beacon gamification: Scenarios, types and characteristics

Nikolche Vasilevski, Jeffrey E. Brand, James R. Birt

Faculty of Society & Design

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

3 Citations (Scopus)

Abstract

Gamification applied to service marketing is a growing area of research with an increasing focus on physical location and service. However, there are often accuracy issues with GPS implementations of location-based gamification. In this problem domain, micro-location has emerged. This paper proposes an analysis method to the theme and categorises micro-located gamification applications in an effort to understand the capabilities, advantages and shortcomings of the technology. Data were gathered from 30 micro-located gamification applications between the years of 2013 and 2018. The data were analysed through relational content analysis allowing categorisation and theme identification. Various scenarios are presented where micro-location plays a significant HCI role. Examples of existing services that implement gamification are also presented. Finally, factors that impact the micro-location method are explored. These findings contribute to HCI by providing guidance for present and perspective micro-location gamification implementations.

Original language	English
Title of host publication	Proceedings of the 30th Australian Computer-Human Interaction Conference (OzCHI 2018)
Editors	Ann Morrison, George Buchanan, Jenny Waycott, Mark Billinghurst, Duncan Stevenson, J.H.-J. Choi, Mark Billinghurst, Ryan Kelly, Dana McKay, Artur Lugmayr
Place of Publication	New York
Publisher	Association for Computing Machinery (ACM)
Chapter	8.2
Pages	484-489
Number of pages	6
ISBN (Electronic)	978-1-4503-6188-0
DOIs	https://doi.org/10.1145/3292147.3292210
Publication status	Published - 4 Dec 2018
Event	30th Australian Conference on Computer-Human Interaction, OzCHI 2018: Digital, physical, interactive, human - Melbourne, Australia Duration: 4 Dec 2018 → 7 Dec 2018 Conference number: 30th http://www.ozchi.org/2018/

Conference

Conference	30th Australian Conference on Computer-Human Interaction, OzCHI 2018
Abbreviated title	OzCHI 2018
Country	Australia
City	Melbourne
Period	4/12/18 → 7/12/18
Other	OzCHI is Australia's leading forum for the latest in Human-Computer Interaction research and practice. OzCHI attracts a broad international community of researchers, industry practitioners, academics and students. Participants come from a range of backgrounds, including interface designers, user experience experts, information architects, software engineers, human factors specialists, information systems analysts, and social scientists. This year's conference theme is 'digital, physical, interactive, human'. This theme highlights the diversity and relevance of Human-Computer Interaction in today's digitally rich world. OzCHI is the annual non-profit conference for the Computer-Human Interaction Special Interest Group (CHISIG) of the Human Factors and Ergonomics Society of Australia. OzCHI paper tracks are double blind peer-reviewed and are published in the ACM digital library.
Internet address	http://www.ozchi.org/2018/

Fingerprint

Cite this

Vasilevski, N., Brand, J. E., & Birt, J. R. (2018). Analysing micro-location beacon gamification: Scenarios, types and characteristics. In A. Morrison, G. Buchanan, J. Waycott, M. Billinghurst, D. Stevenson, JH-J. Choi, M. Billinghurst, R. Kelly, D. McKay, ... A. Lugmayr (Eds.), Proceedings of the 30th Australian Computer-Human Interaction Conference (OzCHI 2018) (pp. 484-489). New York: Association for Computing Machinery (ACM). https://doi.org/10.1145/3292147.3292210

Vasilevski, Nikolche ; Brand, Jeffrey E. ; Birt, James R. / Analysing micro-location beacon gamification : Scenarios, types and characteristics. Proceedings of the 30th Australian Computer-Human Interaction Conference (OzCHI 2018). editor / Ann Morrison ; George Buchanan ; Jenny Waycott ; Mark Billinghurst ; Duncan Stevenson ; J.H.-J. Choi ; Mark Billinghurst ; Ryan Kelly ; Dana McKay ; Artur Lugmayr. New York : Association for Computing Machinery (ACM), 2018. pp. 484-489

@inproceedings{9c43aaedb2af465999e80831859f3db3,

title = "Analysing micro-location beacon gamification: Scenarios, types and characteristics",

abstract = "Gamification applied to service marketing is a growing area of research with an increasing focus on physical location and service. However, there are often accuracy issues with GPS implementations of location-based gamification. In this problem domain, micro-location has emerged. This paper proposes an analysis method to the theme and categorises micro-located gamification applications in an effort to understand the capabilities, advantages and shortcomings of the technology. Data were gathered from 30 micro-located gamification applications between the years of 2013 and 2018. The data were analysed through relational content analysis allowing categorisation and theme identification. Various scenarios are presented where micro-location plays a significant HCI role. Examples of existing services that implement gamification are also presented. Finally, factors that impact the micro-location method are explored. These findings contribute to HCI by providing guidance for present and perspective micro-location gamification implementations.",

author = "Nikolche Vasilevski and Brand, {Jeffrey E.} and Birt, {James R.}",

year = "2018",

month = "12",

day = "4",

doi = "10.1145/3292147.3292210",

language = "English",

pages = "484--489",

editor = "Ann Morrison and George Buchanan and Jenny Waycott and Mark Billinghurst and Duncan Stevenson and J.H.-J. Choi and Mark Billinghurst and Ryan Kelly and Dana McKay and Artur Lugmayr",

booktitle = "Proceedings of the 30th Australian Computer-Human Interaction Conference (OzCHI 2018)",

publisher = "Association for Computing Machinery (ACM)",

address = "United States",

}

Vasilevski, N , Brand, JE & Birt, JR 2018, Analysing micro-location beacon gamification: Scenarios, types and characteristics. in A Morrison, G Buchanan, J Waycott, M Billinghurst, D Stevenson, JH-J Choi, M Billinghurst, R Kelly, D McKay & A Lugmayr (eds), Proceedings of the 30th Australian Computer-Human Interaction Conference (OzCHI 2018). Association for Computing Machinery (ACM), New York, pp. 484-489, 30th Australian Conference on Computer-Human Interaction, OzCHI 2018, Melbourne, Australia, 4/12/18. https://doi.org/10.1145/3292147.3292210

Analysing micro-location beacon gamification : Scenarios, types and characteristics. / Vasilevski, Nikolche ; Brand, Jeffrey E.; Birt, James R.

Proceedings of the 30th Australian Computer-Human Interaction Conference (OzCHI 2018). ed. / Ann Morrison; George Buchanan; Jenny Waycott; Mark Billinghurst; Duncan Stevenson; J.H.-J. Choi; Mark Billinghurst; Ryan Kelly; Dana McKay; Artur Lugmayr. New York : Association for Computing Machinery (ACM), 2018. p. 484-489.

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

TY - GEN

T1 - Analysing micro-location beacon gamification

T2 - Scenarios, types and characteristics

AU - Vasilevski, Nikolche

AU - Brand, Jeffrey E.

AU - Birt, James R.

PY - 2018/12/4

Y1 - 2018/12/4

N2 - Gamification applied to service marketing is a growing area of research with an increasing focus on physical location and service. However, there are often accuracy issues with GPS implementations of location-based gamification. In this problem domain, micro-location has emerged. This paper proposes an analysis method to the theme and categorises micro-located gamification applications in an effort to understand the capabilities, advantages and shortcomings of the technology. Data were gathered from 30 micro-located gamification applications between the years of 2013 and 2018. The data were analysed through relational content analysis allowing categorisation and theme identification. Various scenarios are presented where micro-location plays a significant HCI role. Examples of existing services that implement gamification are also presented. Finally, factors that impact the micro-location method are explored. These findings contribute to HCI by providing guidance for present and perspective micro-location gamification implementations.

AB - Gamification applied to service marketing is a growing area of research with an increasing focus on physical location and service. However, there are often accuracy issues with GPS implementations of location-based gamification. In this problem domain, micro-location has emerged. This paper proposes an analysis method to the theme and categorises micro-located gamification applications in an effort to understand the capabilities, advantages and shortcomings of the technology. Data were gathered from 30 micro-located gamification applications between the years of 2013 and 2018. The data were analysed through relational content analysis allowing categorisation and theme identification. Various scenarios are presented where micro-location plays a significant HCI role. Examples of existing services that implement gamification are also presented. Finally, factors that impact the micro-location method are explored. These findings contribute to HCI by providing guidance for present and perspective micro-location gamification implementations.

UR - http://www.scopus.com/inward/record.url?scp=85061279052&partnerID=8YFLogxK

U2 - 10.1145/3292147.3292210

DO - 10.1145/3292147.3292210

M3 - Conference contribution

AN - SCOPUS:85061279052

SP - 484

EP - 489

BT - Proceedings of the 30th Australian Computer-Human Interaction Conference (OzCHI 2018)

A2 - Morrison, Ann

A2 - Buchanan, George

A2 - Waycott, Jenny

A2 - Billinghurst, Mark

A2 - Stevenson, Duncan

A2 - Choi, J.H.-J.

A2 - Billinghurst, Mark

A2 - Kelly, Ryan

A2 - McKay, Dana

A2 - Lugmayr, Artur

PB - Association for Computing Machinery (ACM)

CY - New York

ER -

Vasilevski N , Brand JE , Birt JR. Analysing micro-location beacon gamification: Scenarios, types and characteristics. In Morrison A, Buchanan G, Waycott J, Billinghurst M, Stevenson D, Choi JH-J, Billinghurst M, Kelly R, McKay D, Lugmayr A, editors, Proceedings of the 30th Australian Computer-Human Interaction Conference (OzCHI 2018). New York: Association for Computing Machinery (ACM). 2018. p. 484-489 https://doi.org/10.1145/3292147.3292210