Ben Steichen
California State Polytechnic University, Pomona
43 Papers
208 Citations
Ben Steichen is an academic researcher from California State Polytechnic University, Pomona. The author has contributed to research in topics: Visualization & Information visualization. The author has an hindex of 13, co-authored 39 publications. Previous affiliations of Ben Steichen include Santa Clara University & University of British Columbia.
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Papers
A comparative survey of Personalised Information Retrieval and Adaptive Hypermedia techniques
TL;DR: This survey investigates the key techniques and impacts in the use of PIR and AH technology in order to identify such affordances and limitations and illustrates an example of a potential synergy in a hybridised approach, where adaptation can be tailored in different aspects of Pir and AH systems.
Highlighting interventions and user differences: informing adaptive information visualization support
Giuseppe Carenini,Cristina Conati,Enamul Hoque,Ben Steichen,Dereck Toker,James T. Enns +5 more
- 26 Apr 2014
TL;DR: A study to evaluate a variety of visual prompts, called "interventions", that can be performed on a visualization to help users process it, and shows that some of the tested interventions perform better than a condition in which no intervention is provided.
Towards Personalized Multilingual Information Access - Exploring the Browsing and Search Behavior of Multilingual Users
Ben Steichen,M. Rami Ghorab,Alexander O'Connor,Séamus Lawless,Vincent Wade +4 more
- 07 Jul 2014
TL;DR: Results from the survey indicate that polyglot users make significant use of multiple languages during their daily browsing and searching, and that contextual factors such as language proficiency, usage purpose, and topic domain have a significant influence on their language choice and frequency.
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Dynamic hypertext generation for reusing open corpus content
Ben Steichen,Séamus Lawless,Alexander O'Connor,Vincent Wade +3 more
- 29 Jun 2009
TL;DR: An architecture of such a dynamic hypertext generation system and its use in an authentic learning environment is proposed and the future work necessary to further enhance the system performance and learning experience is explored.
27
Personalisation in the wild: providing personalisation across semantic, social and open-web resources
Ben Steichen,Alexander O'Connor,Vincent Wade +2 more
- 06 Jun 2011
TL;DR: The evidence clearly shows that the system successfully blends a user's search experience with adaptive selection and navigation techniques and that the user experience is improved in terms of both task assistance and user satisfaction.
26