scholarly journals Identifying User Interaction Patterns in E-Textbooks

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Santeri Saarinen ◽  
Tomi Heimonen ◽  
Markku Turunen ◽  
Mirjamaija Mikkilä-Erdmann ◽  
Roope Raisamo ◽  
...  
Keyword(s):  
User Study ◽  
Concept Map ◽  
User Interaction ◽  
Summative Evaluation ◽  
Interaction Patterns ◽  
User Interaction Patterns ◽  
Interaction Types ◽  
Navigational Aids ◽  
University Setting

We introduce a new architecture for e-textbooks which contains two navigational aids: an index and a concept map. We report results from an evaluation in a university setting with 99 students. The interaction sequences of the users were captured during the user study. We found several clusters of user interaction types in our data. Three separate user types were identified based on the interaction sequences: passive user, term clicker, and concept map user. We also discovered that with the concept map interface users started to interact with the application significantly sooner than with the index interface. Overall, our findings suggest that analysis of interaction patterns allows deeper insights into the use of e-textbooks than is afforded by summative evaluation.

An Investigation of User Behaviour Consistency for Context-Aware Information Retrieval Systems

2009 ◽  
Vol 1 (4) ◽  
pp. 69-90 ◽  
Author(s):  
Adam Grzywaczewski ◽  
Rahat Iqbal ◽  
Anne James ◽  
John Halloran
Keyword(s):  
Information Retrieval ◽  
User Study ◽  
User Interaction ◽  
Context Aware ◽  
Interaction Patterns ◽  
Frequent User ◽  
User Interactions ◽  
Information Retrieval Systems ◽  
Finite Set ◽  
Domain Expertise

Users interact with the Internet in dynamic environments that require the IR system to be context aware. Modern IR systems take advantage of user location, browsing history or previous interaction patterns, but a significant number of contextual factors that impact the user information retrieval process are not yet available. Parameters like the emotional state of the user and user domain expertise affect the user experience significantly but are not understood by IR systems. This article presents results of a user study that simplifies the way context in IR and its role in the systems’ efficiency is perceived. The study supports the hypothesis that the number of user interaction contexts and the problems that a particular user is trying to solve is related to lifestyle. Therefore, the IR system’s perception of the interaction context can be reduced to a finite set of frequent user interactions.

Business Models and Transactions in C2C Social Commerce: Practices of Selected Social Commerce Practitioners in Thailand

2018 ◽  
Vol 15 (06) ◽  
pp. 1850048
Author(s):  
Atchara Leeraphong ◽  
Borworn Papasratorn
Keyword(s):  
Social Media ◽  
Business Models ◽  
User Interaction ◽  
Interaction Patterns ◽  
Social Commerce ◽  
Direct Observations ◽  
Transaction Process ◽  
User Interaction Patterns ◽  
Different Characteristics ◽  
Logical Process

There has been an increase in the popularity of using social media for commercial purposes, and this is commonly known as consumer-to-consumer (C2C) social commerce (s-commerce). Thailand is among one of the world’s largest C2C s-commerce markets; however, its C2C s-commerce has different characteristics from traditional e-commerce. This study investigated the patterns of various C2C s-commerce business models and purchasing processes being used in Thailand, based on data collection from interviews and direct observations. The findings revealed the patterns of the transaction process, including advertising, searching, negotiation and ordering, payment, and delivery. It also been found that there are six business models in C2C s-commerce: S-retailing, S-specific market, S-preorder, S-auction, S-reverse auction, and S-portal. The activities in C2C s-commerce were presented by using the logical process diagram to show differences in user interaction patterns and business arrangements. A solid understanding of business models and purchasing processes will help sellers to improve process effectiveness, as well as helping buyers reduce the risk when making purchases using C2C s-commerce in Thailand.

An Approach for Capturing Human Information Behaviour

2011 ◽  
pp. 322-347 ◽  
Author(s):  
Adam Grzywaczewski ◽  
Rahat Iqbal ◽  
Anne James ◽  
John Halloran
Keyword(s):  
Information Retrieval ◽  
User Experience ◽  
User Study ◽  
User Interaction ◽  
Context Aware ◽  
Interaction Patterns ◽  
Frequent User ◽  
User Interactions ◽  
Finite Set ◽  
Domain Expertise

Rapid proliferation of web information through desktop and small devices places an increasing pressure on Information Retrieval (IR) systems. Users interact with the Internet in dynamic environments that require the IR system to be context aware. Modern IR systems take advantage of user location, browsing history or previous interaction patterns, but a significant number of contextual factors that impact the user information retrieval process are not yet available. Parameters like the emotional state of the user and user domain expertise affect the user experience significantly but are not understood by IR systems. This paper presents results of a user study that simplifies the way context in IR and its role in the systems’ efficiency is perceived. The study supports the hypothesis that the number of user interaction contexts and the problems that a particular user is trying to solve is finite, changing slowly and tightly related to the lifestyle. Therefore, the IR system’s perception of the interaction context can be reduced to a finite set of frequent user interactions. In addition to simplifying the design of context aware personalized IR systems, this can significantly improve the user experience.

Sign in / Sign up

Export Citation Format

Share Document