Paper
14 March 2005 Mike’s Conker: a collaborative nonlinear knowledge elicitation repository for mobile HCI practitioners
Dean Mohamedally, Stefan Edlich, Panayiotis Zaphiris, Helen Petrie
Author Affiliations +
Proceedings Volume 5684, Multimedia on Mobile Devices; (2005) https://doi.org/10.1117/12.587129
Event: Electronic Imaging 2005, 2005, San Jose, California, United States
Abstract
In the field of Human Computer Interaction (HCI), we use a variety of Knowledge Elicitation (KE) techniques to capture user cognitive issues e.g. via interviews, paper prototyping, card sorting, focus group debates and more. MIKE (Mobile Interactive Knowledge Elicitation) is an ongoing research direction to enhance the KE capabilities of HCI practitioners via mobile and electronic methods. MIKE tools are a suite of Mobile HCI software and hardware configurations for a variety of mobile platforms. With MIKE's CONKER we describe a Collaborative Non-linear Knowledge Elicitation Repository for HCI practitioners. Its intention is to provide a scalable infrastructure for supporting the management and collaborative retrieval of mobile based KE datasets. Some of its functional design requirements include HCI practitioner profiles management, managing experimental progress from dispersed mobile HCI teams, timetabling expenditures for time critical empirical capture and participant management, and enabling concurrent HCI specialists to compare elicited mobile data. Further expansion of the CONKER system will include incorporation of distributed psychometric analysis methods. CONKER is realized as a sourceforge-alike Web-Portal using state-of-the-art web-framework technologies. We describe several approaches to the capturing and management of HCI data and how CONKER makes this available to the HCI community.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dean Mohamedally, Stefan Edlich, Panayiotis Zaphiris, and Helen Petrie "Mike’s Conker: a collaborative nonlinear knowledge elicitation repository for mobile HCI practitioners", Proc. SPIE 5684, Multimedia on Mobile Devices, (14 March 2005); https://doi.org/10.1117/12.587129
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KEYWORDS
Human-computer interaction

Prototyping

Visualization

Personal digital assistants

Received signal strength

Data modeling

Java

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