A Data-Driven Traffic Steering Algorithm for Optimizing User Experience in Multi-Tier LTE Networks

2019 ◽  
Vol 68 (10) ◽  
pp. 9414-9424 ◽  
Author(s):  
Carolina Gijon ◽  
Matias Toril ◽  
Salvador Luna-Ramirez ◽  
Maria Luisa Mari-Altozano
Keyword(s):  
User Experience ◽  
Data Driven ◽  
Lte Networks ◽  
Traffic Steering

scholarly journals A DATA-DRIVEN APPROACH TO USER-EXPERIENCE-FOCUSED MODEL-BASED ROADMAPPING FOR NEW PRODUCT PLANNING

2021 ◽  
Vol 1 ◽  
pp. 61-70
Author(s):  
Ilia Iuskevich ◽  
Andreas-Makoto Hein ◽  
Kahina Amokrane-Ferka ◽  
Abdelkrim Doufene ◽  
Marija Jankovic
Keyword(s):  
New Product Development ◽  
User Experience ◽  
Planning Process ◽  
New Product ◽  
Data Driven ◽  
User Needs ◽  
User Testing ◽  
Model Based ◽  
Data Driven Approach ◽  
To Receive

AbstractUser experience (UX) focused business needs to survive and plan its new product development (NPD) activities in a highly turbulent environment. The latter is a function of volatile UX and technology trends, competition, unpredictable events, and user needs uncertainty. To address this problem, the concept of design roadmapping has been proposed in the literature. It was argued that tools built on the idea of design roadmapping have to be very flexible and data-driven (i.e., be able to receive feedback from users in an iterative manner). At the same time, a model-based approach to roadmapping has emerged, promising to achieve such flexibility. In this work, we propose to incorporate design roadmapping to model-based roadmapping and integrate it with various user testing approaches into a single tool to support a flexible data-driven NPD planning process.

scholarly journals An Enriched Customer Journey Map: How to Construct and Visualize a Global Portrait of Both Lived and Perceived Users’ Experiences?

Designs ◽  
2020 ◽  
Vol 4 (3) ◽  
pp. 29
Author(s):  
Juliana Alvarez ◽  
Pierre-Majorique Léger ◽  
Marc Fredette ◽  
Shang-Lin Chen ◽  
Benjamin Maunier ◽  
...  
Keyword(s):  
Experimental Design ◽  
User Experience ◽  
Data Driven ◽  
Design Development ◽  
Research Methodologies ◽  
Customer Journey ◽  
Development Team ◽  
Clustering Approach ◽  
Implicit Data ◽  
Measurement Approach

Design is about understanding the system and its users. Although User Experience (UX) research methodologies aim to explain the benefits of a holistic measurement approach including explicit (e.g., self-reported) and implicit (e.g., automatic and unconscious biophysiological reactions) data to better understand the global user experience, most of the personas and customer journey maps (CJM) seen in the literature and practice are mainly based on perceived and self-reported users’ responses. This paper aims to answer a call for research by proposing an experimental design based on the collection of both explicit and implicit data in the context of an authentic user experience. Using an inductive clustering approach, we develop a data driven CJM that helps understand, visualize, and communicate insights based on both data typologies. This novel tool enables the design development team the possibility of acquiring a broad portrait of both experienced (implicit) and perceived (explicit) users’ experiences.

scholarly journals Data-Driven Analysis of Tiny Touchscreen Performance with MicroJam

2020 ◽  
Vol 43 (4) ◽  
pp. 41-57
Author(s):  
Charles Patrick Martin ◽  
Jim Torresen
Keyword(s):  
Social Media ◽  
Mobile Devices ◽  
User Experience ◽  
Musical Performance ◽  
Data Driven ◽  
Visual Appearance ◽  
Music Making ◽  
Mobile Music ◽  
Common Interface ◽  
Musical Interaction

The widespread adoption of mobile devices, such as smartphones and tablets, has made touchscreens a common interface for musical performance. Although new mobile music instruments have been investigated from design and user experience perspectives, there has been little examination of the performers' musical output. In this work, we introduce a constrained touchscreen performance app, MicroJam, designed to enable collaboration between performers, and engage in a data-driven analysis of more than 1,600 performances using the app. MicroJam constrains performances to five seconds, and emphasizes frequent and casual music-making through a social media–inspired interface. Performers collaborate by replying to performances, adding new musical layers that are played back at the same time. Our analysis shows that users tend to focus on the center and diagonals of the touchscreen area, and that they tend to swirl or swipe rather than tap. We also observe that, whereas long swipes dominate the visual appearance of performances, the majority of interactions are short with limited expressive possibilities. Our findings enhance our understanding of how users perform in touchscreen apps and could be applied in future app designs for social musical interaction.

What’s a Special Character Anyway? Effects of Ambiguous Terminology in Password Rules

2016 ◽  
Vol 60 (1) ◽  
pp. 760-764
Author(s):  
Yee-Yin Choong ◽  
Kristen K. Greene
Keyword(s):  
User Experience ◽  
Laboratory Study ◽  
Qualitative Data ◽  
Data Driven ◽  
Character Space ◽  
Explicit Definition ◽  
Special Character ◽  
Compliance Checking

Although many aspects of passwords have been studied, no research to date has systematically examined how ambiguous terminology affects the user experience during password rule comprehension, a necessary precursor to password generation. Our research begins to address this gap by focusing on users’ comprehension of password generation rules. Varying terms—special characters, symbols, non-alphanumeric characters, and punctuation—are used in different password rules, but mostly without explicit definition. In this laboratory study, we used character-selection and compliance-checking tasks with 60 participants to investigate effects of varying terms on users’ password rule comprehension. Results show that manipulating terminology caused participants’ interpretation of the allowed character space to shrink or expand. Our quantitative and qualitative data show that participants were extremely confused by the variety of terms for “special character.” Seemingly small changes in language have large, observable impacts on users’ understanding of password rules. Language in password requirements must be carefully constructed to ensure that users fully comprehend the allowable character space. This research is an important first step to providing data-driven guidance on constructing clearer language for password rules.

scholarly journals Optimizing Interactive Systems with Data-Driven Objectives

2019 ◽  
Author(s):  
Ziming Li
Keyword(s):  
Prior Knowledge ◽  
User Experience ◽  
User Behavior ◽  
Interactive Systems ◽  
Data Driven ◽  
User Needs ◽  
User Interactions ◽  
Different Types ◽  
User Actions

Effective optimization is essential for interactive systems to provide a satisfactory user experience. However, it is often challenging to find an objective to optimize for. Generally, such objectives are manually crafted and rarely capture complex user needs in an accurate manner. We propose to infer the objective directly from observed user interactions. These inferences can be made regardless of prior knowledge and across different types of user behavior. It is promising if we model the objectives directly from the user interactions which we use to optimize interactive systems, which will improve user experience and dynamically reacts to user actions.

A QoE-Driven Traffic Steering Algorithm for LTE Networks

2019 ◽  
Vol 68 (11) ◽  
pp. 11271-11282 ◽  
Author(s):  
Maria Luisa Mari-Altozano ◽  
Salvador Luna-Ramirez ◽  
Matias Toril ◽  
Carolina Gijon
Keyword(s):  
Lte Networks ◽  
Traffic Steering
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