&lt;title&gt;Mike"s Conker: a collaborative nonlinear knowledge elicitation repository for mobile HCI practitioners&lt;/title&gt;

Mohamedally, Dean; Edlich, Stefan; Zaphiris, Panayiotis; Petrie, Helen

doi:10.1117/12.587129

Cited by 1 publication

(1 citation statement)

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“…For this aim, the scope of existing scientific rules in HCI knowledge elicitation practices have been simulated for adoption in HCI Cyberscience. This is achieved in the form of the second generation of the CONKER 2.0 Web Service (CONKER -Collaborative Non-linear Knowledge Elicitation Repository) (Mohamedally et al, 2005a) and PET -A Participant-based Experiment Tracking tool for HCI practitioners.…”

Section: Introductionmentioning

confidence: 99%

MIKE's PET: A participant-based experiment tracking tool for HCI practitioners using mobile devices

Mohamedally

Edlich²,

Klaus³

et al. 2006

SPIE Proceedings

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Knowledge Elicitation (KE) methods are an integral part of Human Computer Interaction (HCI) practices. They are a key aspect to the synthesis of psychology empirical methods with requirements engineering, User Centred Design (UCD) and user evaluations. Examples of these methods include prototyping, focus groups, interviews, surveys and direct video observation. The MIKE project (Mobile Interactive Knowledge Elicitation) at the Centre for HCI Design, City University London, UK provides mobile cyberscience capabilities for HCI practitioners conducting such research while at stakeholder locations. This paper reports on the design and development of a new MIKE based tool, named PET, a Participant-based Experiment Tracking tool for HCI practitioners using Java-based (J2ME) mobile devices. PET integrates its user tracking techniques with the development of the second generation implementation of the CONKER (COllaborative Non-linear Knowledge Elicitation Repository) Web Service. We thus report further on CONKER v2.0's new capabilities developed to enable tighter collaboration and empirical data management between HCI practitioners, considering their UCD needs. The visualisation, tracking and recording of HCI participant-based datasets via PET is explored with close connectivity with the CONKER v2.0 Web Service, in order to provide mobile-web cyberscience for remote and local HCI practitioners.

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Section: Introductionmentioning

confidence: 99%