Uzilla HCI Collection: and ( WebHCI) and ( Searching)

Browsing for and ( WebHCI) and ( Searching)

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Showing matching items (1 - 20).

Information Seeking on the Web			Inline:Small, Med, Large:: CLOSE
1	WebHCI	Searching
`Article:firstmonday.org/issues/issue5_2/choo/index.html`
On one axis of the model, episodes were plotted according to the four scanning modes identified by Aguilar (1967), Weick and Daft (1983): undirected viewing, conditioned viewing, informal search, and formal search. The study suggests that a behavioral framework that relates motivations (Aguilar) and moves (Ellis) may be helpful in analyzing patterns of Web-based information seeking. Section 3 integrates elements from research in information seeking and organizational scanning into a ...

5. Query Specification			Inline:Small, Med, Large:: CLOSE
2	WebHCI	Searching
`HypertextNode:www.sims.berkeley.edu/~hearst/irbook/10/node6.html`
As a result, the system creates a set of documents, metadata, or other information type that match the query specification in some sense and displays the results to the user in some form. These are: command language, form fillin, menu selection, direct manipulation, and natural language. Combining faceted queries with quorum ranking yields a situation intermediate between full Boolean syntax and free-form natural language queries.

CNET.com - News - The Net - Web search results still have human touch			Inline:Small, Med, Large:: CLOSE
3	WebHCI	Searching
`Article:news.cnet.com/news/0-1005-200-1507039.html`
Enter symbol: · Symbol LookupMore from CNET InvestorQuotes delayed 20+ minutesInnovation in the search and directory space can only benefit consumers, according to some analysts. One search pioneer produced a directory generated not by humans, but by data analysis technology. The other half of the search equation--search results from automated Web crawling technology, or "spiders"--experienced a small boom in innovative approaches to refining query results.

Searching on the Web - Hoelscher & Strube - SIGIR99			Inline:Small, Med, Large:: CLOSE
4	WebHCI	Searching
`Article:www.iig.uni-freiburg.de/cognition/members/hoelsch/sigir99-full/SIGIR99-handout2.html`
We investigated the types of knowledge that are relevant for web-based information seeking, along with the knowledge structures and related strategies. Using a series of search tasks in an economics-related domain (introduction of the EURO currency) we investigated the effects of Web experience and domain-specific background knowledge on search strategies. We found independent and combined effects of both Web experience and domain knowledge, hinting at the importance of considering both ...

Improving User Performance on Boolean Queries			Inline:Small, Med, Large:: CLOSE
5	WebHCI	Searching
`Article:www.cs.cmu.edu/~pane/CHI2000.html`
J.F. Pane and B.A. Myers, "Improving User Performance on Boolean Queries," CHI 2000 Extended Abstracts: Human Factors in Computing Systems,to appear, 2000. The accurate formulation of boolean expressions is a notorious problem in programming languages as well as database and web query tools. A study comparing this tabular language with textual boolean expressions found that untrained users perform better when they express their queries in the tabular language, and about equally well when ...

Caterpillar's Fate: A Pattern Language for Transformation from Analysis to Design			Inline:Small, Med, Large:: CLOSE
6	CS	Patterns
`Article:c2.com/ppr/catsfate.html`
1.0 Abstract Caterpillar's Fate is a pattern language used to support the transformation from fine analysis documents to an initial software design. Just as the concept metamorphosis is used to explain the magical emergence of butterflies; Caterpillar's Fate explores the magic of constructing a system of objects from an object-free analysis. You are ready to connect the Workers Role(12) objects, the Interface Role(13) objects, and the Human Interface Role is a Special Interface Role(20) ...

1999 ASIS Annual Meeting Contributed Paper			Inline:Small, Med, Large:: CLOSE
7	WebHCI	Searching
`Article:donturn.fis.utoronto.ca/papers/asis99/asis99.html`
The study suggests that a behavioral framework that relates motivations (Aguilar) and moves (Ellis) may be helpful in analysing patterns of Web-based information seeking. Section 3 integrates elements from research in information seeking and organizational scanning into a behavioral model of Web-based information seeking. The figure below identifies four main modes of information seeking on the Web: undirected viewing, conditioned viewing, informal search, and formal search.

The program			Inline:Small, Med, Large:: CLOSE
8	WebHCI	Searching
`Collection:www.infonortics.com/searchengines/sh00/boston2000pro.html`
Anders Hyldahl (Mondosoft, Denmark) The searchers' question versus the search engines' query An examination of the contrast between the ideal search (a question and its ideal answer) and the practical reality search (a question put to a search engine that gives an answer set). This panel presents three well known researchers in agent technologies: Alper Caglayan, author of "The Agent Sourcebook", and developer of Open Sesame; Sundar Kadayam, Chief Technology Officer for Intelliseek;...

Untitled			Inline:Small, Med, Large:: CLOSE
9	WebHCI	Searching
`Article:www.shef.ac.uk/~is/publications/unis/contents.html`
Abstract Acknowledgements Report Appendix 1. Data collection instruments Appendix 2. Introductory paper published in D-Lib Magazine Appendix 3. Paper presented at ISIC2 1998 Appendix 4. Draft of paper submitted for ISIC3 2000 Appendix 5. Abstract of Dr. Spink's NSF grant Appendix 6. Summary of an MSc thesis: "A study of user-intermediary computer interactions during the information search process" Uncertainty in information seeking, by Professor Tom Wilson, Dr. David Ellis, Nigel Ford, and ...

Fetuccino			Inline:Small, Med, Large:: CLOSE
10	WebHCI	Searching
`www8.org/w8-papers/5a-search-query/adding/adding.html`
This paper proposes two enhancements to existing search services over the Web. The second enhancement is an experimental two-phase paradigm that allows the user to distinguish between a domain query and a focused query within the dynamically identified domain. Fetuccino provides an enhanced user-interface for visualization of search results, including advanced graph layout, display of structural information and support for standards (such as XML).

Next Generation Web Search: Setting Our Sites			Inline:Small, Med, Large:: CLOSE
11	WebHCI	Searching
`Article:www.sims.berkeley.edu/~hearst/papers/data-engineering`
The current state of web search is most successful at directing users to appropriate web sites. Once at the site, the user has a choice of following hyperlinks or using site search, but the latter is notoriously problematic. One solution is to develop specialized search interfaces that explictly support the types of tasks users perform using the information specific to the site.

Cat-a-Cone: An Interactive Interface for Specifying Searches and Viewing Retrieval Results using a Large Category Hierarchy			Inline:Small, Med, Large:: CLOSE
12	WebHCI	Searching
`www.sims.berkeley.edu/~hearst/papers/cac-sigir97/sigir97.html`
Abstract: This paper introduces a novel user interface that integrates search and browsing of very large category hierarchies with their associated text collections. Query specification in this 3D environment is accomplished via a novel method for painting Boolean queries over a combination of category labels and free text. This paper describes an interactive user interface that integrates search and browsing of very large category hierarchies with their associated text collections.

Grouper: A Dynamic Clustering Interface to Web Search Results			Inline:Small, Med, Large:: CLOSE
13	WebHCI	Searching
`www8.org/w8-papers/3a-search-query/dynamic/dynamic.html`
Users of Web search engines are often forced to sift through the long ordered list of document "snippets" returned by the engines. The IR community has explored document clustering as an alternative method of organizing retrieval results, but clustering has yet to be deployed on most major search engines. Conventional document retrieval systems return long lists of ranked documents that users are forced to sift through to find relevant documents.

The effect of query complexity on Web searching results			Inline:Small, Med, Large:: CLOSE
14	WebHCI	Searching
`www.shef.ac.uk/~is/publications/infres/paper87.html`
Fifteen queries were selected from the transaction log of a major Web search service in simple query form with no advanced operators (e.g., Boolean operators, phrase operators, etc.) and submitted to 5 major search engines - Alta Vista, Excite, FAST Search, Infoseek, and Northern Light. The original 15 queries were then modified using the various search operators supported by each of the 5 search engines for a total of 210 queries. Information retrieval (IR) system searchers seldom use ...

WebTop Search Rage Study			Inline:Small, Med, Large:: CLOSE
15	WebHCI	Searching
`Article:searchenginewatch.com/sereport/01/02-searchrage.html`
WebTop Search Rage Study A study conducted on behalf of search engine WebTop in the middle of 2000 sheds light on how often Internet users in the United States search, what they look for and the satisfaction or frustration they encounter, when searching. A study conducted on behalf of search engine WebTop in the middle of 2000 sheds light on how often Internet users in the United States search, what they look for and the satisfaction or frustration they encounter, when searching. The "...

Next Generation Web Search: Setting Our Sites			Inline:Small, Med, Large:: CLOSE
16	WebHCI	Searching
`www.sims.berkeley.edu/~hearst/papers/data-engineering/index.html`
The current state of web search is most successful at directing users to appropriate web sites. Once at the site, the user has a choice of following hyperlinks or using site search, but the latter is notoriously problematic. One solution is to develop specialized search interfaces that explictly support the types of tasks users perform using the information specific to the site.

Reexamining the Cluster Hypothesis: Scatter/Gather on Retrieval Results			Inline:Small, Med, Large:: CLOSE
17	WebHCI	Searching
`www.sims.berkeley.edu/~hearst/papers/sg-sigir96/sigir96.html`
Abstract: We present Scatter/Gather, a cluster-based document browsing method, as an alternative to ranked titles for the organization and viewing of retrieval results. This result provides evidence validating the cluster hypothesis which states that relevant documents tend to be more similar to each other than to non-relevant documents. We describe a system employing Scatter/Gather and demonstrate that users are able to use this system close to its full potential.

Selected results from a large study of Web searching: the Excite study			Inline:Small, Med, Large:: CLOSE
18	WebHCI	Searching
`www.shef.ac.uk/~is/publications/infres/paper90.html`
This paper reports selected findings from an ongoing series of studies analyzing large-scale data sets containing queries posed by Excite users, a major Internet search service. The findings presented report on: (1) queries length and frequency, (2) Boolean queries, (3) query reformulation, (4) phrase searching, (5) search term distribution, (6) relevance feedback, (7) viewing pages of results, (8) successive searching, (9) sexually-related searching, (10) image queries and (11) multi-...

Results of EULER Usability Studies			Inline:Small, Med, Large:: CLOSE
19	WebHCI	Searching
`HypertextNode:www.bui.fh-hamburg.de/pers/ursula.schulz/eulerev/results.htm`
Results of EULER Usability Studies NoMetaDescription EULER evaluation: a study in search engine usability Usability inspection of EULER search engine Usability tests with EULER search engine Results of Cognitive Walkthrough for EULER Search Engine Please send your comments to Ursula Schulz.

Schedule For The AAAI2000 Workshop on AI for Web Search			Inline:Small, Med, Large:: CLOSE
20	WebHCI	Searching
`Collection:archive.org/aaai2000schedule.html`
Schedule For The AAAI2000 Workshop on AI for Web Search NoMetaDescription 09:05-09:25 UKSearch - Web Search with Knowledge-Rich Indices 17:00-17:30 - General Discussion : Where do we go from here?

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