Improving Motive-Based Search: Utilization of Vague Feelings and Ideas in the Process of Information Seeking
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Improving Motive-Based Search: Utilization of Vague Feelings and Ideas in the Process of Information Seeking

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presentation @ HCI International 2013 – Models for Spatial and Embodied Interaction

presentation @ HCI International 2013 – Models for Spatial and Embodied Interaction

24 JULY 2013 – Las Vegas, Nevada, USA

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Improving Motive-Based Search: Utilization of Vague Feelings and Ideas in the Process of Information Seeking Improving Motive-Based Search: Utilization of Vague Feelings and Ideas in the Process of Information Seeking Presentation Transcript

  • HCI International 2013 – Models for Spatial and Embodied Interaction Improving Motive-Based Search Utilization of Vague Feelings and Ideas in the Process of Information Seeking 24 JULY 2013 – Las Vegas, Nevada, USA Chair of Media Design Faculty of Computer Science / Technische Universität Dresden This work has been supported by the European Union and the Free State Saxony through the European Regional Development Fund. Mandy Keck
  • HCI International 2013 24.JULY 2013 Mandy Keck 2 | 8 __ research project »VISEA - Visual Search Interfaces« __ focus: visual interfaces for the product search Problem: vague information need has to be transformed into a specific search query (Dörk et al. 2012) Our Objective: supporting vague feelings and ideas in the process of information seeking Introduction Fig. 1 travel search interface: www.opodo.com Fig. 2 search interface for financial products: www.boerse-stuttgart.de
  • HCI International 2013 24.JULY 2013 Mandy Keck 3 | 8 (cf. Broder 2002, Jansen 2008, Marchionini 2006, White 2009) Motive: __ cause of search, specifies some general conditions __ influenced by emotions and interests of the user Motive-Based Search NAVIGATIONAL SEARCHING TRANSACTIONAL SEARCHING INFORMATIONAL SEARCHING reaching a particular site performing a certain transaction acquisition of information MOTIVE-BASED SEARCH LOOKUP EXPLORATORY SEARCH known-item-search, fact-finding, verification knowledge acquisition, discovery, comparison vague information need (motive), aim: finding a suitable product
  • HCI International 2013 24.JULY 2013 Mandy Keck 4 | 8 Supporting Motive-Based Search (1) Aspects: Inspiration __ create new ideas __ broaden the scope Investigation __ construct and organize knowledge space __ don't get lost Evaluation __ select, exclude, prioritize __ narrow the scope, create focus Aspects Level Inspiration Investigation Evaluation
  • HCI International 2013 24.JULY 2013 Mandy Keck 5 | 8 Supporting Motive-Based Search (2) Levels (Beckers & Fuhr 2012): Syntactic Level __ based on the contents of web pages and databases __ requirement of explicit interaction Semantic Level __ centred on the content __ intelligent and implicit user support Pragmatic Level __ concerned with the context of the user's interaction with the machine __ observe and understand the context of the user Aspects Level Syntactic Level Semantic Level Pragmatic Level
  • HCI International 2013 24.JULY 2013 Mandy Keck 6 | 8 Supporting Motive-Based Search (3) physical devices software components sensors, etc. discovery aggregation provide Context Components Context Base Context Layer Web Service Layer Service Composition Service Discovery Input/Output Layer Fig. 3 Layered architecture of context services based on (Li & Zheng 2008)
  • HCI International 2013 24.JULY 2013 Mandy Keck 7 | 8 Outlook __ Providing functions for aspects (inspiration, investigation, evaluation) and semantic & pragmatic level __ Current work: concepts for inspiration Fig. 4 inspiration for travel search Fig. 5 query by example Fig. 6 inspirator for travel destination
  • References Broder, A.: A taxonomy of Web search. SIGIR Forum, 36(2), 3–10., 2002 Jansen, B. J., Booth, D. L., Spink, A.: Determining the informational, navigational, and transactional intent of Web que- ries. Inf. Process. Manage. 44, 1251-1266., 2008 Marchionini, G.: Exploratory search: from finding to understanding. Communications of the ACM. New York, USA: ACM, 41-46, 2006 White, R. W., Roth, R. A.: Exploratory Search: Beyond the Query-Response Paradigm. San Rafael, California: Morgan and Claypool Publishers, 2009 Dörk, M.; Williamson, C. and Carpendale, S.: Navigating tomorrow‘s web: From searching and browsing to visual ex- ploration, ACM Trans. Web 6, 3, Article 13, 28 pages. New York, USA, 2012 Li, Y., Zheng, X.: A Personalized Service Oriented Pragmatic-Context Architecture and Supporting System. Seventh International Symposium on Instrumentation and Control Technology, 2008