Automated User Interaction Analysis for Workflow-Based Web Portals

2014 ◽  
pp. 148-162 ◽  
Author(s):  
Emil Backlund ◽  
Mikael Bolle ◽  
Matthias Tichy ◽  
Helena Holmström Olsson ◽  
Jan Bosch
Keyword(s):  
Interaction Analysis ◽  
User Interaction ◽  
Web Portals

The Vineyard Approach

2010 ◽  
pp. 60-79
Author(s):  
Adriana S. Vivacqua ◽  
Jano Moreira de Souza
Keyword(s):  
Interaction Analysis ◽  
User Interaction ◽  
Distributed Environments ◽  
Awareness Information ◽  
E Mail

Recent research has noted that individuals engage in multiple collaborations simultaneously and have difficulties managing these different contexts. Studies indicate that awareness of others’ activities plays an important part in collaboration. Proximity also has a strong effect on collaboration, as maintaining awareness of peers becomes harder in distributed environments. Many awareness systems have been proposed to deliver information on peers’ activities or status, which usually either require extensive configuration by the user or disseminate information regardless of users’ interests. With the increase in information available, systems must be sensitive to users’ attention foci, minimizing interruptions, and helping focus and providing information according to current tasks. We have been investigating ways to determine awareness foci through e-mail-based user interaction analysis. Our goal is to be able to draw inferences as to whom and about what a user is collaborating, enabling a system to automatically distribute awareness information and adapt itself according to users’ needs without much configuration.

Churn Prediction in Online Games through User Interaction Analysis

2018 ◽  
Vol 24 (9) ◽  
pp. 433-441
Author(s):  
Joo Yeon Moon ◽  
Huy Kang Kim ◽  
Jiyoung Woo
Keyword(s):  
Interaction Analysis ◽  
User Interaction ◽  
Online Games ◽  
Churn Prediction

scholarly journals Effective design of in-home displays

2019 ◽  
Author(s):  
Carmen Valor ◽  
Carmen Escudero ◽  
Victoria Labajo ◽  
Rafael Cossent
Keyword(s):  
Demand Response ◽  
Behavioral Change ◽  
User Behavior ◽  
User Interaction ◽  
Web Portals ◽  
End User ◽  
Interactive Technologies ◽  
Privacy Concerns ◽  
Critical Areas ◽  
Effective Design

Demand-side management is widely considered a key tool to achieve the decarbonization on the energy sector. In this regard, providing end users with detailed information about their consumption patterns is key in order to enable them to make informed decisions to reduce or adapt their energy consumption. This requires the deployment of feedback interactive technologies such as in-home displays, dedicated apps/web portals, or ambient interfaces. There have been extensive research and numerous pilot experiences on the effect of these technologies on end-user behavior, which identified the importance of an appropriate device design to achieve the desired demand response. However, a clear framework to design these feedback technologies in order to ensure the desired behavioral change does not exist. In order to fill this gap, this paper presents an exhaustive review of existing research on feedback, focusing especially on interactive devices. This review has resulted in the identification of ten key parameters that should be taken into account by device designers, including the type and form of the information provided (medium, units, disaggregation level, comparisons, goal setting), design of the interface and devices themselves, the possible inclusion of penalties and rewards, and privacy concerns. Recommendations to implement them in such a way that end-user interaction and response is maximized are provided. These recommendations would jointly make in-home displays more effective in creating the desired household behavioral change to maximize energy conservation. Moreover, critical areas where further research is necessary before a sound recommendation can be made are identified.

Improving HRI design by applying Systemic Interaction Analysis (SInA)

2009 ◽  
Vol 10 (3) ◽  
pp. 298-323 ◽  
Author(s):  
Manja Lohse ◽  
Marc Hanheide ◽  
Karola Pitsch ◽  
Katharina J. Rohlfing ◽  
Gerhard Sagerer
Keyword(s):  
Autonomous Robots ◽  
Interaction Analysis ◽  
User Interaction ◽  
Social Behaviors ◽  
Social Robots ◽  
User Studies ◽  
System Level ◽  
Interaction Models ◽  
Integrated Method ◽  
Analysis Tools

Social robots are designed to interact with humans. That is why they need interaction models that take social behaviors into account. These usually influence many of a robot’s abilities simultaneously. Hence, when designing robots that users will want to interact with, all components need to be tested in the system context, with real users and real tasks in real interactions. This requires methods that link the analysis of the robot’s internal computations within and between components (system level) with the interplay between robot and user (interaction level). This article presents Systemic Interaction Analysis (SInA) as an integrated method to (a) derive prototypical courses of interaction based on system and interaction level, (b) identify deviations from these, (c) infer the causes of deviations by analyzing the system’s operational sequences, and (d) improve the robot iteratively by adjusting models and implementations. Keywords: analysis tools, user studies, autonomous robots

scholarly journals Exploring the Design of Transitional Hybrid User Interfaces

2011 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Felipe Carvalho ◽  
Daniela G. Trevisan ◽  
Alberto Raposo ◽  
Carla M.D.S. Freitas ◽  
Luciana Nedel
Keyword(s):  
Virtual Reality ◽  
User Interfaces ◽  
Interaction Analysis ◽  
User Interaction ◽  
Design Principles ◽  
Immersive Virtual Reality ◽  
Interactive Environments ◽  
Main Challenge ◽  
Desktop Application ◽  
3D Volume

The idea of hybrid user interfaces (HUI) does not rely only on the use of different devices but also on different interactive environments with the goal of bringing together the advantages of each environment. The main challenge regarding the development of such systems is to know which are the design aspects that should be taken into account in order to promote smooth and continuous interactions. In this way our work reinforces the importance of interactions continuity and dimensional task congruence as design principles to guide the development and interaction analysis within HUI. An example scenario was conceived from splitting a previous single desktop application for 3D volume sculpture into three different interactive environments (Wimp, Augmented Reality and Head-Mounted Immersive Virtual Reality). To achieve such goal we employ the OpenInterface platform to allow the management of several modalities for user interaction within and along the three environments. Finally, we discuss the outcomes of the analysis of interactions within our HUI according to the design principles proposed.

The Vineyard Approach

2009 ◽  
pp. 1510-1529
Author(s):  
Adriana S. Vivacqua ◽  
Jana Moreira de Souza
Keyword(s):  
Interaction Analysis ◽  
User Interaction ◽  
Distributed Environments ◽  
Awareness Information ◽  
E Mail

Recent research has noted that individuals engage in multiple collaborations simultaneously and have difficulties managing these different contexts. Studies indicate that awareness of others’ activities plays an important part in collaboration. Proximity also has a strong effect on collaboration, as maintaining awareness of peers becomes harder in distributed environments. Many awareness systems have been proposed to deliver information on peers’ activities or status, which usually either require extensive configuration by the user or disseminate information regardless of users’ interests. With the increase in information available, systems must be sensitive to users’ attention foci, minimizing interruptions, and helping focus and providing information according to current tasks. We have been investigating ways to determine awareness foci through e-mail-based user interaction analysis. Our goal is to be able to draw inferences as to whom and about what a user is collaborating, enabling a system to automatically distribute awareness information and adapt itself according to users’ needs without much configuration.

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