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Analysing the effects of individual characteristics and self-efficacy on users' preferences for system features in relevance judgment

หน่วยงาน Nanyang Technological University, Singapore

รายละเอียด

ชื่อเรื่อง : Analysing the effects of individual characteristics and self-efficacy on users' preferences for system features in relevance judgment
นักวิจัย : Theng, Yin-Leng , Sin, Sei-Ching Joanna
คำค้น : DRNTU::Social sciences::Psychology::Behaviorism
หน่วยงาน : Nanyang Technological University, Singapore
ผู้ร่วมงาน : -
ปีพิมพ์ : 2555
อ้างอิง : Theng, Y.-L., & Sin, S.-C. (2012). Analysing the effects of individual characteristics and self-efficacy on users' preferences for system features in relevance judgment. Information research, 17(4). , http://hdl.handle.net/10220/24126 , http://www.informationr.net/ir/17-4/paper536.html#.VEmzO2eSySp
ที่มา : -
ความเชี่ยวชาญ : -
ความสัมพันธ์ : Information research
ขอบเขตของเนื้อหา : -
บทคัดย่อ/คำอธิบาย :

Introduction. The design of information systems has traditionally focused on algorithmic relevance. While scholars have called for a user-centred perspective on relevance, less is known about what system features are important in supporting subjective relevance judgment of different individuals. Method. Drawing from Kuhlthau's information search process and Norman's task completion model, an integrated model conceptualising information seeking on two levels (process and sub-task) were developed. Two hundred and seventy-seven users were surveyed on system features they considered important at various stages of an information seeking task. Analysis. Descriptive statistics and exploratory factor analysis were used to group system features. The relationships between system feature preference and individual characteristics were tested using multiple regressions. Results. The top features were identified and factor analysis resulted in a seven-factor solution. Except for sex, the multiple regression analyses found statistically significant relationships between individual characteristics such as self-efficacy in information seeking and respondent's system feature preference. Conclusions. Information systems design will benefit from understanding users' varying information seeking self-efficacy and their needs for features supporting subjective relevance judgment. With its strong tradition of studying diverse human behaviour, the information behaviour field has much to offer a user-centred and context-aware approach to information system design.

บรรณานุกรม :
Theng, Yin-Leng , Sin, Sei-Ching Joanna . (2555). Analysing the effects of individual characteristics and self-efficacy on users' preferences for system features in relevance judgment.
    กรุงเทพมหานคร : Nanyang Technological University, Singapore.
Theng, Yin-Leng , Sin, Sei-Ching Joanna . 2555. "Analysing the effects of individual characteristics and self-efficacy on users' preferences for system features in relevance judgment".
    กรุงเทพมหานคร : Nanyang Technological University, Singapore.
Theng, Yin-Leng , Sin, Sei-Ching Joanna . "Analysing the effects of individual characteristics and self-efficacy on users' preferences for system features in relevance judgment."
    กรุงเทพมหานคร : Nanyang Technological University, Singapore, 2555. Print.
Theng, Yin-Leng , Sin, Sei-Ching Joanna . Analysing the effects of individual characteristics and self-efficacy on users' preferences for system features in relevance judgment. กรุงเทพมหานคร : Nanyang Technological University, Singapore; 2555.