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.

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.

Service-Oriented Architectures for Context-Aware Information Retrieval and Access

2010 ◽  
pp. 1549-1560
Author(s):  
Lu Yan
Keyword(s):  
Information Retrieval ◽  
Information Exchange ◽  
Exchange Process ◽  
Information Access ◽  
Mobile Service ◽  
Context Aware ◽  
Service Oriented Architectures ◽  
Information Retrieval Systems ◽  
To Come ◽  
Process Context

Humans are quite successful at conveying ideas to each other and retrieving information from interactions appropriately. This is due to many factors: the richness of the language they share, the common understanding of how the world works, and an implicit understanding of everyday situations (Dey & Abowd, 1999). When humans talk with humans, they are able to use implicit situational information (i.e., context) to enhance the information exchange process. Context (Cool & Spink, 2002) plays a vital part in adaptive and personalized information retrieval and access. Unfortunately, computer communications lacks this ability to provide auxiliary context in addition to the substantial content of information. As computers are becoming more and more ubiquitous and mobile, there is a need and possibility to provide information “personalized, any time, and anywhere” (ITU, 2006). In these scenarios, large amounts of information circulate in order to create smart and proactive environments that will significantly enhance both the work and leisure experiences of people. Context-awareness plays an important role to enable personalized information retrieval and access according to the current situation with minimal human intervention. Although context-aware information retrieval systems have been researched for a decade (Korkea-aho, 2000), the rise of mobile and ubiquitous computing put new challenges to issue, and therefore we are motivated to come up with new solutions to achieve non-intrusive, personalized information access on the mobile service platforms and heterogeneous wireless environments.

Predictive Modeling of User Interaction Patterns for 3D Mesh Streaming

2012 ◽  
Vol 7 (4) ◽  
pp. 1-19 ◽  
Author(s):  
V. Vani ◽  
R. Pradeep Kumar ◽  
Mohan S.
Keyword(s):  
Predictive Model ◽  
Virtual Environment ◽  
User Interaction ◽  
Interaction Patterns ◽  
User Interactions ◽  
Memory Space ◽  
3D Mesh ◽  
3D Object ◽  
Network Bandwidth ◽  
3D Virtual Environment

The complexity in 3D virtual environment over the web is growing rapidly every day. This 3D virtual environment comprises of set of structured static and dynamic scenes and each scene has multiple 3D objects/meshes. Therefore, the granular level in any 3D virtual environments is the object. In 3D virtual environment, it is required to give user interactions for every 3D object and at any point of time, it is enough if the system streams and brings in only the visible portion of the object from server to the client by utilizing the limited network bandwidth and the limited client memory space. This streaming would reduce the time to present the rendered object to the requested clients. Further to reduce the time and effectively utilize the bandwidth and memory space, in proposed work, an attempt is made to exploit the user interactions on 3D object and built a predictive model. The experiment result shows that the built predictive model minimizes the rendering latency of the 3D mesh that is being streamed to the possible extent. Also, the results convey that the reduction in time is subjected to the type of 3D object that is taken for streaming and rendering.

Service-Oriented Architectures for Context-Aware Information Retrieval and Access

2011 ◽  
pp. 220-231
Author(s):  
Lu Yan
Keyword(s):  
Information Retrieval ◽  
Information Exchange ◽  
Exchange Process ◽  
Information Access ◽  
Mobile Service ◽  
Context Aware ◽  
Service Oriented Architectures ◽  
Information Retrieval Systems ◽  
To Come ◽  
Process Context

Humans are quite successful at conveying ideas to each other and retrieving information from interactions appropriately. This is due to many factors: the richness of the language they share, the common understanding of how the world works, and an implicit understanding of everyday situations (Dey & Abowd, 1999). When humans talk with humans, they are able to use implicit situational information (i.e., context) to enhance the information exchange process. Context (Cool & Spink, 2002) plays a vital part in adaptive and personalized information retrieval and access. Unfortunately, computer communications lacks this ability to provide auxiliary context in addition to the substantial content of information. As computers are becoming more and more ubiquitous and mobile, there is a need and possibility to provide information “personalized, any time, and anywhere” (ITU, 2006). In these scenarios, large amounts of information circulate in order to create smart and proactive environments that will significantly enhance both the work and leisure experiences of people. Context-awareness plays an important role to enable personalized information retrieval and access according to the current situation with minimal human intervention. Although context-aware information retrieval systems have been researched for a decade (Korkea-aho, 2000), the rise of mobile and ubiquitous computing put new challenges to issue, and therefore we are motivated to come up with new solutions to achieve non-intrusive, personalized information access on the mobile service platforms and heterogeneous wireless environments.

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.

scholarly journals A METRIC TO EVALUATE INTERACTION OBFUSCATION IN ONLINE SOCIAL NETWORKS

2012 ◽  
Vol 20 (06) ◽  
pp. 877-892 ◽  
Author(s):  
ERO BALSA ◽  
CARMELA TRONCOSO ◽  
CLAUDIA DIAZ
Keyword(s):  
Social Networks ◽  
Social Relations ◽  
Online Social Networks ◽  
User Interaction ◽  
Sensitive Information ◽  
Interaction Patterns ◽  
User Interactions ◽  
The Real ◽  
Network Topologies ◽  
The Cost

Online social networks (OSNs) have become one of the main communication channels in today's information society, and their emergence has raised new privacy concerns. The content uploaded to OSNs (such as pictures, status updates, comments) is by default available to the OSN provider, and often to other people to whom the user who uploaded the content did not intend to give access. A different class of concerns relates to sensitive information that can be inferred from the behavior of users. For example, the analysis of user interactions augments social network graphs with potentially privacy-sensitive details on the nature of social relations, such as the strength of user relationships. A solution to prevent such inferences is to automatically generate dummy interactions that obfuscate the real interactions between OSN users. Given an adversary that observes the obfuscated interactions, the goal is to prevent the adversary from recovering parameters of interest (e.g., relationships strength) that accurately describe the real user interactions. The design and evaluation of obfuscation strategies requires metrics that express the level of protection they would offer when deployed in a particular OSN with its underlying user interaction patterns. In this paper we propose mutual information as obfuscation metric. It measures the amount of information leaked by the (observable) obfuscated interactions in the system on the (concealed) real interactions between users. We show that the metric is suitable for comparing different obfuscation strategies, and flexible to accommodate different network topologies and user communication patterns. Obfuscation comes at the cost of network overhead, and the proposed metric contributes to enabling the optimization of strategies to achieve good levels of privacy protection at minimum overhead. We provide a detailed methodology to compute the metric and perform experiments that illustrate its suitability.

scholarly journals A Task-Centred Methodology to Evaluate the Design of Virtual Reality User Interactions: A Case Study on Hazard Identification

Buildings ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 277
Author(s):  
Pierre Raimbaud ◽  
Ruding Lou ◽  
Florence Danglade ◽  
Pablo Figueroa ◽  
Jose Tiberio Hernandez ◽  
...  
Keyword(s):  
Virtual Reality ◽  
User Study ◽  
User Interaction ◽  
Hazard Identification ◽  
Interaction Techniques ◽  
User Interactions ◽  
Evaluation Approach ◽  
Study Results ◽  
Computer Based

Virtual reality (VR) is a computer-based technology that can be used by professionals of many different fields to simulate an environment with a high feeling of presence and immersion. Nonetheless, one main issue when designing such environments is to provide user interactions that are adapted to the tasks performed by the users. Thus, we propose here a task-centred methodology to design and evaluate these user interactions. Our methodology allows for the determination of user interaction designs based on previous VR studies, and for user evaluations based on a task-related computation of usability. Here, we applied it on the hazard identification case study, since VR can be used in a preventive approach to improve worksite safety. Once this task and its related user interactions were analysed with our methodology, we obtained two possible designs of interaction techniques for the worksite exploration subtask. About their usability evaluation, we proposed in this study to compare our task-centred evaluation approach to a non-task-centred one. Our hypothesis was that our approach could lead to different interpretations of user study results than a non-task-centred one. Our results confirmed our hypothesis by comparing weighted usability scores from our task-centred approach to unweighted ones for our two interaction techniques.

scholarly journals Mining Map Interaction Semantics in web-based Geographic Information Systems (WebGIS) for Usability Analysis

2021 ◽  
Vol 2 ◽  
pp. 1-11
Author(s):  
René Unrau ◽  
Christian Kray
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
User Study ◽  
Pattern Mining ◽  
Geographic Information ◽  
Interaction Patterns ◽  
User Interactions ◽  
Interface Elements ◽  
Web Based ◽  
Map Interaction

Abstract. Due to the increased availability of geospatial data, web-based geographic information systems (WebGIS) have become more popular in recent years. However, the usability of these systems poses new challenges as user interactions are strongly affected by the map and are thus different from interactions with traditional user interface elements. In this paper, we propose a method for evaluating the usability of web-based geographic information systems by analyzing user intentions through map interaction patterns. We use a pattern mining algorithm to extract frequent interaction sequences from user sessions and label these with their interaction semantics that represent the users’ immediate intentions. To evaluate our approach, we conducted a user study with 60 participants in a WebGIS scenario and identified varying user strategies for a selection task based on two different geovisualizations. Our results indicate that the chosen approach can uncover the underlying intentions of users’ interaction patterns and facilitate insights into the usability of WebGIS.

scholarly journals UXmood—A Sentiment Analysis and Information Visualization Tool to Support the Evaluation of Usability and User Experience

Information ◽  
2019 ◽  
Vol 10 (12) ◽  
pp. 366 ◽  
Author(s):  
Roberto Yuri da Silva Franco ◽  
Rodrigo Santos do Amor Divino Lima ◽  
Rafael do Monte Paixão ◽  
Carlos Gustavo Resque dos Santos ◽  
Bianchi Serique Meiguins
Keyword(s):  
Sentiment Analysis ◽  
User Experience ◽  
User Study ◽  
Data Communication ◽  
User Interaction ◽  
Joint Analysis ◽  
User Interactions ◽  
Web Browser ◽  
Different Types ◽  
Text Content

This paper presents UXmood, a tool that provides quantitative and qualitative information to assist researchers and practitioners in the evaluation of user experience and usability. The tool uses and combines data from video, audio, interaction logs and eye trackers, presenting them in a configurable dashboard on the web. The UXmood works analogously to a media player, in which evaluators can review the entire user interaction process, fast-forwarding irrelevant sections and rewinding specific interactions to repeat them if necessary. Besides, sentiment analysis techniques are applied to video, audio and transcribed text content to obtain insights on the user experience of participants. The main motivations to develop UXmood are to support joint analysis of usability and user experience, to use sentiment analysis for supporting qualitative analysis, to synchronize different types of data in the same dashboard and to allow the analysis of user interactions from any device with a web browser. We conducted a user study to assess the data communication efficiency of the visualizations, which provided insights on how to improve the dashboard.

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