{"id":1685,"date":"2011-06-21T12:04:55","date_gmt":"2011-06-21T12:04:55","guid":{"rendered":"http:\/\/www.physiologicalcomputing.net\/?p=1685"},"modified":"2021-12-22T20:21:14","modified_gmt":"2021-12-22T20:21:14","slug":"chi-2011-workshop-session-4-sharing-the-physiological-experience-videos-online","status":"publish","type":"post","link":"https:\/\/www.physiologicalcomputing.net\/?p=1685","title":{"rendered":"CHI 2011 Workshop \u2013 Session 4 \u201cSharing the Physiological Experience\u201d Videos Online"},"content":{"rendered":"

This week see\u2019s the release of the talks presented during the Sharing the Physiological Experience<\/em> session. To view these talks and more please click here<\/a>. For guidance about the session 4 talks please consult the abstracts listed below.<\/p>\n

This release marks the end of the CHI 2011 Brain and Body Designing for Meaningful Interaction<\/em><\/a> workshop videos. I’d like to thank our presentators for allowing us to share their talks on the Internet and for choosing our workshop to present their research. Without you the workshop could not of been the success it was.\u00a0 Hopefully these videos will go some small way to bringing your excellent research to a wider audience, and if not they can always be used to explain what exactly you do to family and friends.<\/p>\n

<\/p>\n

(Mealla C., S., V\u00e4ljam\u00e4e, A., Bosi, Jord\u00e0, S.) Let Me Listen to Your Brain \u2013 Physiology-based Interaction in Collaborative Music Composition<\/span> (PDF<\/a><\/strong>) (Video<\/a><\/strong>) <\/em><\/p>\n

The use of physiology-based interaction in collaborative scenarios is a rapidly developing area of research that has a strong potential for innovative applications. This aspect of Physiological Computing has become an important topic for our research group, where we focus on the enhancement of collaborative music generation experiences by combining explicit, gestural interaction with implicit, unconscious interaction using physiological signals. By following this approach, we aim to develop new expressive multimodal interfaces capable of bringing meaningful collaborative experiences for both entertainment and clinical applications.<\/p><\/blockquote>\n

(Janssen, J. H., Westerink, J., IJsselsteijn, W., van der Zwaag, M.) The role of physiological computing in counteracting loneliness <\/span>(PDF<\/a><\/strong>) (Video<\/a><\/strong>) <\/em><\/p>\n

With loneliness spreading rapidly through Western societies, we need technologies that can help people share emotions and create deep intimate connections. We propose that physiological computing is in a key position to create such meaningful interactions. We first present a short requirements analysis, showing that physiological signals are promising as communicative tools. Subsequently, we briefly discuss four experiments that we have done that support the important role physiological computing can play in to improve social connectedness. We end with directions for further research<\/p><\/blockquote>\n

(Kuikkaniemi, K., Kosunen, I., Laitinen, T., Vilkki, M.) Tangent Society \u2013 Persistent Mobile Multiplayer Activity Logging Game<\/span> (PDF<\/a><\/strong>) (Video<\/a><\/strong>) <\/em><\/p>\n

Based on our earlier experiments and prototypes with affective games and biosignal adaptive applications we have identified that the major obstacle of understanding the biosignal adaptive gaming is lack of longitudinal experiments. In order to achieve this goal we have developed a persistent mobile multiplayer game that utilizes biosignals and can allow organization of experiments were subjects use the game repeatedly over long time period. In order to achieve this we have invested special attention on the games communication architecture, game story and visual identity.<\/p>\n

The game is called Tangent Society and it will be launched in beta during the Spring 2011. The game is based on real-time web environment and it utilizes simple biosignal capturing sensors (e.g. Polar Bluetooth heart rate band) in addition to the phone\u2019s inbuilt sensors (accelerometer and camera).<\/p><\/blockquote>\n

(Gilleade, K., Lee, K.) Issues inherent in controlling the interpretation of the Physiological Cloud<\/span> (PDF<\/a><\/strong>) (Video<\/a><\/strong>) <\/em><\/p>\n

This paper discusses the potential issues in controlling the interpretation of physiological data exposed to the public using Internet technologies. It identifies a range of issues and discusses potential solutions and their implications. These issues are highlighted and discussed using The Body Blogger project which exposes an individual user\u2019s physiological data on the Internet in real-time.<\/p><\/blockquote>\n","protected":false},"excerpt":{"rendered":"

This week see\u2019s the release of the talks presented during the Sharing the Physiological Experience session. To view these talks and more please click here. For guidance about the session 4 talks please consult the abstracts listed below. This release marks the end of the CHI 2011 Brain and Body Designing for Meaningful Interaction workshop […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"spay_email":""},"categories":[6],"tags":[16,19,24,35,100,102,104,103,101],"jetpack_featured_media_url":"","jetpack_shortlink":"https:\/\/wp.me\/pY315-rb","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.physiologicalcomputing.net\/index.php?rest_route=\/wp\/v2\/posts\/1685"}],"collection":[{"href":"https:\/\/www.physiologicalcomputing.net\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.physiologicalcomputing.net\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.physiologicalcomputing.net\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.physiologicalcomputing.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1685"}],"version-history":[{"count":11,"href":"https:\/\/www.physiologicalcomputing.net\/index.php?rest_route=\/wp\/v2\/posts\/1685\/revisions"}],"predecessor-version":[{"id":4692,"href":"https:\/\/www.physiologicalcomputing.net\/index.php?rest_route=\/wp\/v2\/posts\/1685\/revisions\/4692"}],"wp:attachment":[{"href":"https:\/\/www.physiologicalcomputing.net\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1685"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.physiologicalcomputing.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1685"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.physiologicalcomputing.net\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1685"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}