Perceived versus actual computer-email-web fluency

Authors:
Ulla Bunz;Carey Curry;William Voon
Affiliations:
Department of Communication, Florida State University, University Center C, Suite 3100, Tallahassee, FL 32306, United States;Department of Communication, Rutgers University, 4 Huntington Street, New Brunswick, NJ 08901, United States;Department of Library and Information Studies, Rutgers University, 4 Huntington Street, New Brunswick, NJ 08901, United States
Venue:
Computers in Human Behavior
Year:
2007

Citing 8
Cited 12

Rationale and development of a scale to measure computer-mediated communication apprehension

Rationale and development of a scale to measure computer-mediated communication apprehension
The effects of computer self-efficacy on direction-following behavior in computer assisted instruction

Journal of Computer Based Instruction
Computer self-efficacy: development of a measure and initial test

MIS Quarterly
Social cognitive theory and individual reactions to computing technology: a longitudinal study

MIS Quarterly
Technophobia: The Psychological Impact of Information Technology

Technophobia: The Psychological Impact of Information Technology
The Multilevel and Multifaceted Character of Computer Self-Efficacy: Toward Clarification of the Construct and An Integrative Framework for Research

Information Systems Research
Determinants of User Acceptance of Digital Libraries: An Empirical Examination of Individual Differences and System Characteristics

Journal of Management Information Systems
The influence of learning style and training method on self-efficacy and learning performance in WWW homepage design training

International Journal of Information Management: The Journal for Information Professionals

Participation in class and in online discussions: Gender differences

Computers & Education
Tool, Toy, Telephone, Territory, or Treasure of Information: Elementary school students' attitudes toward the Internet

Computers & Education
Patterns of email use by teachers and implications: A Singapore experience

Computers & Education
General interaction expertise: an approach for sampling in usability testing of consumer products

HCI'07 Proceedings of the 12th international conference on Human-computer interaction: interaction design and usability
Learner readiness for online learning: Scale development and student perceptions

Computers & Education
From access to usage: The divide of self-reported digital skills among adolescents

Computers & Education
Re-visiting college students' attitudes toward the Internet-based on a 6-T model: Gender and grade level difference

Computers & Education
Are heavy users of computer games and social media more computer literate?

Computers & Education
Digital divide across the European Union

Information and Management
Perceptions of web knowledge and usability: When sex and experience matter

International Journal of Human-Computer Studies
Technical proficiency for IS Success

Computers in Human Behavior
Is there more to email negotiation than email? The role of email affinity

Computers in Human Behavior

Quantified Score

Hi-index	0.00

Visualization

Abstract

The purpose of this study was to compare people's perception of their computer-email-web (CEW) fluency to their actual abilities performing related tasks. A total of 61 subjects (51% female, mean age 19) participated in the research sessions. Participants completed the CEW fluency scale [Bunz, U. (2004). The computer-email-web (CEW) fluency scale - Development and validation. International Journal of Human-Computer Interaction, 17(4), 477-504.], the computer anxiety ratings scale [Heinssen, R. K., Glass, C. R., & Knight L. A. (1987). Assessing computer anxiety: Development and validation of the computer anxiety rating scale. Computers in Human Behavior, 3, 49-59.], and an applied protocol developed for this study. Results show that the less computer anxiety subjects reported, the higher they perceived their CEW fluency to be (p=.001), but there was no significant relationship between computer anxiety and actual fluency (p=.12). There was no gender difference as to actual CEW fluency (p=.11), but women perceived their fluency lower than did men (p=.012). Overall results validate the robustness of the CEW fluency scale, help identify CEW fluency as a digital divide component, and underscore the importance of initiatives to raise women's technological self-confidence.