Where should the person stop and the information search interface start?
Information Processing and Management: an International Journal
Agents that reduce work and information overload
Communications of the ACM
Usability inspection methods
Information seeking in electronic environments
Information seeking in electronic environments
Proceedings of the first ACM international conference on Digital libraries
Evaluating user interfaces to information retrieval systems: a case study on user support
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
The user's mental model of an information retrieval system
SIGIR '85 Proceedings of the 8th annual international ACM SIGIR conference on Research and development in information retrieval
Conference Companion on Human Factors in Computing Systems
Principles of mixed-initiative user interfaces
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
ECDL '02 Proceedings of the 6th European Conference on Research and Advanced Technology for Digital Libraries
The interactive track at INEX 2004
INEX'04 Proceedings of the Third international conference on Initiative for the Evaluation of XML Retrieval
Evaluating sources of implicit feedback in web searches
Proceedings of the 2007 ACM conference on Recommender systems
An experimental framework for interactive information retrieval and digital libraries evaluation
DELOS'07 Proceedings of the 1st international conference on Digital libraries: research and development
A logging scheme for comparative digital library evaluation
ECDL'06 Proceedings of the 10th European conference on Research and Advanced Technology for Digital Libraries
ECDL'06 Proceedings of the 10th European conference on Research and Advanced Technology for Digital Libraries
Evaluation of an adaptive search suggestion system
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
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Daffodil is a front-end to federated, heterogeneous digital libraries targeting at strategic support of users during the information seeking process. This is done by offering a variety of functions for searching, exploring and managing digital library objects. However, the distributed search increases response time and the conceptual model of the underlying search processes is inherently weaker. This makes query formulation harder and the resulting waiting times can be frustrating. In this paper, we investigate the concept of proactive support during the user's query formulation. For improving user efficiency and satisfaction, we implemented annotations, proactive support and error markers on the query form itself. These functions decrease the probability for syntactical or semantical errors in queries. Furthermore, the user is able to make better tactical decisions and feels more confident that the system handles the query properly. Evaluations with 30 subjects showed that user satisfaction is improved, whereas no conclusive results were received for efficiency.