ABSTRACT
Advances in sensing technology and wider availability of network services is beckoning the use of context-awareness in ubiquitous computing applications. One region in which these technologies can play a major role is in the area of entertainment. Particularly, context-awareness can be used to provide higher quality interaction between humans and the media they are interacting with. We propose a music player, Lifetrak, that is in tune with a person's life by using a context-sensitive music engine to drive what music is played. This context engine is influenced by (i) the location of the user, (ii) the time of operation, (iii) the velocity of the user, and (iv) urban environment information such as traffic, weather, and sound modalities. Furthermore, we adjust the context engine by implementing a learning model that is based on user feedback on whether a certain song is appropriate for a particular context. Also, we introduce the idea of a context equalizer that adjusts how much a certain sensing modality affects what song is chosen. Since the music player will be implemented on a mobile device, there is a strong focus on creating a user interface that can be manipulated by users on the go. The goal of Lifetrak is to liberate a user from having to consciously specify the music that they want to play. Instead, Lifetrak intends to create a music experience for the user that is in rhythm with themselves and the space they reside in.
- K. Blanchette. Effects of MP3 Technology on the Music Industry: An Examination of Market Structure and Apple iTunes. College of the Holy Cross. Retrieved September, 30:2004, 2004.Google Scholar
- Apple. Apple ipod family. http://www.apple.com/ipod, 2006.Google Scholar
- S.I. Tamminen, A.I. Oulasvirta, K.I. Toiskallio, and A.I. Kankainen. Understanding mobile contexts. Personal and Ubiquitous Computing, 8(2):135--143, 2004. Google ScholarCross Ref
- Sony. Sony walkman bean mp3 player. http://www.sonystyle.com/walkman, 2006.Google Scholar
- G.T. Elliott and B. Tomlinson. Personalsoundtrack: Context-aware playlists that adapt to user pace. In Conference on Human Factors in Computing Systems, pages 298--304. CHI, April 2006. Google ScholarDigital Library
- G. Wijnalda, S. Pauws, F. Vignoli, and H. Stuckenschmidt. A personalized music system for motivation in sport performance. Pervasive Computing, IEEE, 4(3):26--32, 2005. Google ScholarDigital Library
- P. Riddle. Tags: What are They Good For? http://www.ischool.utexas.edu, 2005.Google Scholar
- J. Crossett. Social Classification of Data. http://jamescorssett.com, 2006.Google Scholar
- LastFM. Last.fm, the social music revolution. http://www.last.fm, 2006.Google Scholar
- R. Want, B.N. Schilit, N.I. Adams, R. Gold, K. Petersen, D. Goldberg, J.R. Ellis, and M. Weiser. An overview of the PARCTAB ubiquitous computing experiment. IEEE Personal Communications, 2(6):28--43, 1995.Google ScholarCross Ref
- G.D.B. Abowd, C.G.B. Atkeson, J.B. Hong, S.B. Long, R.B. Kooper, and M.B. Pinkerton. Cyberguide: A mobile context-aware tour guide. Wireless Networks, 3(5):421--433, 1997. Google ScholarDigital Library
- M.S. Pandit and S. Kalbag. The selection recognition agent: instant access to relevant information and operations. Proceedings of the 2nd international conference on Intelligent user interfaces, pages 47--52, 1997. Google ScholarDigital Library
- A.K. Dey. Context-aware computing: The CyberDesk project. Proceedings of the AAAI 1998 Spring Symposium on Intelligent Environments, pages 51--54, 1998.Google Scholar
- P. Dourish. Seeking a Foundation for Context-Aware Computing. Human-Computer Interaction, 16(2, 3 & 4):229--241, 2001. Google ScholarDigital Library
- JA Landay and TR Kaufmann. User interface issues in mobile computing. Workstation Operating Systems, 1993. Proceedings., Fourth Workshop on, pages 40--47, 1993.Google ScholarCross Ref
- S. Sarker and J.D. Wells. Understanding mobile handheld device use and adoption. Communications of the ACM, 46(12):35--40, 2003. Google ScholarDigital Library
- Nokia. Nokia 770. http://www.nokia.com/770, 2006.Google Scholar
Index Terms
- Lifetrak: music in tune with your life
Recommendations
GeoTracks: Adaptive Music for Everyday Journeys
MM '16: Proceedings of the 24th ACM international conference on MultimediaListening to music on the move is an everyday activity for many people. This paper proposes geotracks and geolists, music tracks and playlists of existing music that are aligned and adapted to specific journeys. We describe how everyday walking journeys ...
Impact of user context on song selection
MM '08: Proceedings of the 16th ACM international conference on MultimediaThe rise of digital music has led to a parallel rise in the need to manage music collections of several thousands of songs on a single device. Manual selection of songs for a music listening experience is a cumbersome task. In this paper, we present an ...
ZOOZbeat: mobile music recreation
CHI EA '10: CHI '10 Extended Abstracts on Human Factors in Computing SystemsZOOZbeat is a gesture-based Music reCreation studio. It is designed to provide users with expressive and creative access to music making on the go. ZOOZbeat users can compose user-generated songs based on generic beats in different styles or remix and ...
Comments