While location-based games are widely popular, the interpersonal privacy risks players pose to one another remain under-researched. These risks can lead to harassment and stalking. This paper presents an experimental study investigating how the in-game gift mechanic in Pokémon GO can be exploited to reveal players' sensitive locations. We employed a mixed-methods approach consisting of a 37-day "in-the-wild" play experiment (n=20), questionnaires, and semi-structured interviews. Our results demonstrate that in-game gift metadata allowed for the identification of over 60% of participants' home addresses within a 100-meter radius. These findings highlight critical privacy implications for location-based game design and the need for increased user awareness.

Catching Pokémon and in-game friends' home addresses / J. Ikonen, A. Knutas, L. Ripamonti, G. Livraga, S. Hyrynsalmi. - In: INTERNATIONAL JOURNAL ON INFORMATION TECHNOLOGIES AND SECURITY. - ISSN 1313-8251. - 18:1(2026 Jan), pp. 81-92. [10.59035/phyu2064]

Catching Pokémon and in-game friends' home addresses

L. Ripamonti;G. Livraga;
2026

Abstract

While location-based games are widely popular, the interpersonal privacy risks players pose to one another remain under-researched. These risks can lead to harassment and stalking. This paper presents an experimental study investigating how the in-game gift mechanic in Pokémon GO can be exploited to reveal players' sensitive locations. We employed a mixed-methods approach consisting of a 37-day "in-the-wild" play experiment (n=20), questionnaires, and semi-structured interviews. Our results demonstrate that in-game gift metadata allowed for the identification of over 60% of participants' home addresses within a 100-meter radius. These findings highlight critical privacy implications for location-based game design and the need for increased user awareness.
location-based games; geospatial privacy; inference attack; gamification risks; open source intelligence
Settore INFO-01/A - Informatica
gen-2026
Article (author)
File in questo prodotto:
File Dimensione Formato  
unpaywall-bitstream--686781552.pdf

accesso aperto

Tipologia: Publisher's version/PDF
Licenza: Creative commons
Dimensione 549.63 kB
Formato Adobe PDF
549.63 kB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/1224155
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
  • OpenAlex 0
social impact