中研院調查研究專題中心2/9專題演講「資料蒐集：時間與關係的面相」
2022-01-20
調查研究專題中心 專題演講
Data Collection: The Temporal and Relational Dimensions
資料蒐集：時間與關係的面相
Muh-Chyun Tang
Professor, Department and Graduate Institute of Library and Information Science, National Taiwan University
唐牧群／臺灣大學圖書資訊學系暨研究所 教授
2022 / 2 / 9 Wed 2:00 pm
Conference Room I, Research Center for Humanities and Social Science (RCHSS), Academia Sinica
中研院人社中心第一會議室
Webex: https://reurl.cc/jkk88m
No.: 2519 199 1236
Code: seminar0209
Abstract:
Drawing from my own research and prior research in the literature, my talk will highlight the “temporal” and “relational” aspects of data collection. By “temporal,” I mean the capturing of experiences- such as behaviors, feelings, or thought- at the moment of, or, close to, their occurrence. These include Experience Sampling Method (ESM) and tracing continuously the participant’s affective response during and after a hedonic event. I will report my own research of using ESM to study how individuals’ music preference traits manifest in their daily life music listening behaviors, in which 44 participants were probed and answered questions about their music experiences five times a day through the mobile app Line in a period of two weeks.
In addition, I will outline my current research that sets out to investigate how individuals integrate their rating of individual tracks into a retrospective evaluation of the whole music playlist generated by music streaming platform, based on the theory of The Peak-End Rule, which states that when individuals make retrospective evaluation of an extended hedonic episode, certain salient moments carry more weights, most noticeable of which are the moment at which the affect was most intensely felt (the peak) and the final moment (the end).
With regard to the “relational” aspect of data collection, I will talk about collecting relational data, that is, data concerning relations between a set of social actors or entities, for the purpose of conducting Social Network Analysis. The relations in question can be friendship, interaction, flow of information, and scientific collaboration. A brief introduction will be given on how to construct multiplex network within a clear boundary that include multiple relations and evolve over time.
Host: Center for Survey Research, RCHSS, Academia Sinica
Contact person:
csrevent@gate.sinica.edu.tw
886-2-2787-1816
Claire Hsieh 謝小姐
Data Collection: The Temporal and Relational Dimensions
資料蒐集：時間與關係的面相
Muh-Chyun Tang
Professor, Department and Graduate Institute of Library and Information Science, National Taiwan University
唐牧群／臺灣大學圖書資訊學系暨研究所 教授
2022 / 2 / 9 Wed 2:00 pm
Conference Room I, Research Center for Humanities and Social Science (RCHSS), Academia Sinica
中研院人社中心第一會議室
Webex: https://reurl.cc/jkk88m
No.: 2519 199 1236
Code: seminar0209
Abstract:
Drawing from my own research and prior research in the literature, my talk will highlight the “temporal” and “relational” aspects of data collection. By “temporal,” I mean the capturing of experiences- such as behaviors, feelings, or thought- at the moment of, or, close to, their occurrence. These include Experience Sampling Method (ESM) and tracing continuously the participant’s affective response during and after a hedonic event. I will report my own research of using ESM to study how individuals’ music preference traits manifest in their daily life music listening behaviors, in which 44 participants were probed and answered questions about their music experiences five times a day through the mobile app Line in a period of two weeks.
In addition, I will outline my current research that sets out to investigate how individuals integrate their rating of individual tracks into a retrospective evaluation of the whole music playlist generated by music streaming platform, based on the theory of The Peak-End Rule, which states that when individuals make retrospective evaluation of an extended hedonic episode, certain salient moments carry more weights, most noticeable of which are the moment at which the affect was most intensely felt (the peak) and the final moment (the end).
With regard to the “relational” aspect of data collection, I will talk about collecting relational data, that is, data concerning relations between a set of social actors or entities, for the purpose of conducting Social Network Analysis. The relations in question can be friendship, interaction, flow of information, and scientific collaboration. A brief introduction will be given on how to construct multiplex network within a clear boundary that include multiple relations and evolve over time.
Host: Center for Survey Research, RCHSS, Academia Sinica
Contact person:
csrevent@gate.sinica.edu.tw
886-2-2787-1816
Claire Hsieh 謝小姐
