TY - JOUR
T1 - Entertainment Modeling through Physiology in Physical Play
AU - Yannakakis, Georgios
AU - Hallam, John
N1 - Tidskriftet er en fortsættelse af "International journal of mass-machine studies"
ISSN for den elektroniske udgave af "International Journal of Human Computer Studies" er 1095-9300, og ikke 1071-5819 som FI har oplyst
Paper id:: http://dx.doi.org/10.1016/j.ijhcs.2008.06.004
PY - 2008
Y1 - 2008
N2 - An investigation into capturing the relation of physiology, beyond heart rate recording, to expressed preferences of entertainment in children’s physical gameplay is presented in this paper. An exploratory survey experiment raises the difficulties of isolating elements derived (solely) from heart rate recordings attributed to reported entertainment and a control experiment for surmounting those difficulties is proposed. Then a survey experiment on a larger scale is devised where more physiological signals (Blood Volume Pulse and Skin Conductance) are collected and analyzed. Given effective data collection a set of numerical features is extracted from the child’s physiological state. A preference learning mechanism based on neuro-evolution is used to construct a function of single physiological features that models the players’ notion of ‘fun’ for the games under investigation. Performance of the model is evaluated by the degree to which the preferences predicted by the model match those expressed by the children. Results indicate that there appears to be increased mental/emotional effort in preferred games of children.
AB - An investigation into capturing the relation of physiology, beyond heart rate recording, to expressed preferences of entertainment in children’s physical gameplay is presented in this paper. An exploratory survey experiment raises the difficulties of isolating elements derived (solely) from heart rate recordings attributed to reported entertainment and a control experiment for surmounting those difficulties is proposed. Then a survey experiment on a larger scale is devised where more physiological signals (Blood Volume Pulse and Skin Conductance) are collected and analyzed. Given effective data collection a set of numerical features is extracted from the child’s physiological state. A preference learning mechanism based on neuro-evolution is used to construct a function of single physiological features that models the players’ notion of ‘fun’ for the games under investigation. Performance of the model is evaluated by the degree to which the preferences predicted by the model match those expressed by the children. Results indicate that there appears to be increased mental/emotional effort in preferred games of children.
KW - Physiology and entertainment preferences
KW - Children's physical gameplay
KW - Beyond heart rate recordings
KW - Exploratory survey experiment
KW - Isolation of physiological elements
M3 - Journal article
SN - 1071-5819
VL - 66
SP - 741
EP - 755
JO - International Journal of Human-Computer Studies
JF - International Journal of Human-Computer Studies
IS - 10
ER -