01732nas a2200241   4500000000100000000000100001008004100002260001200043653001300055653002000068653003700088100001900125700001600144700001900160700001300179700002600192245008700218856009800305300001000403490000600413520105700419022001401476       2013                            d  c09/201310aAnalysis10aMobile Services10aHuman-Computer Interaction (HCI)1 aBernhard Klein1 aIvan Pretel1 aSacha Vanhecke1 aAna Lago1 aDiego Lopez-de-Ipiña00aAnalysis of Log File Data to Understand  Mobile Service Context and Usage Patterns  uhttp://www.ijimai.org/journal/sites/default/files/files/2013/06/ijimai20132_3_2_pdf_26595.pdf  a15-220 v23 aSeveral mobile acceptance models exist today that focus on user interface handling and usage frequency evaluation. Since mobile applications reach much deeper into everyday life, it is however important to better consider user behaviour for the service evaluation. In this paper we introduce the Behaviour Assessment Model (BAM), which is designed to gaining insights about how well services enable, enhance and replace human activities. More specifically, the basic columns of the evaluation framework concentrate on (1) service actuation in relation to the current user context, (2) the balance between service usage effort and benefit, and (3) the degree to which community knowledge can be exploited. The evaluation is guided by a process model that specifies individual steps of data capturing, aggregation, and final assessment. The BAM helps to gain stronger insights regarding characteristic usage hotspots, frequent usage patterns, and leveraging of networking effects showing more realistically the strengths and weaknesses of mobile services  a1989-1660