scholarly journals User Experience Evaluation Using Mouse Tracking and Artificial Intelligence

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 96506-96515 ◽  
Author(s):  
Kennedy E. S. Souza ◽  
Marcos C. R. Seruffo ◽  
Harold D. De Mello ◽  
Daniel Da S. Souza ◽  
Marley M. B. R. Vellasco
Keyword(s):  
Artificial Intelligence ◽  
User Experience ◽  
Mouse Tracking

scholarly journals Análise da Experiência do Usuário (UX) de Narrativa Transmídia através de Mouse-Tracking

2021 ◽  
Vol 22 (50) ◽  
Author(s):  
Rita de Cássia Romeiro Paulino ◽  
Marcos César Da Rocha Seruffo ◽  
Marina Lisboa Empinotti ◽  
Kennedy Edson Silva de Souza ◽  
Ana Carla Pimenta
Keyword(s):  
Artificial Intelligence ◽  
User Experience ◽  
Evaluation Tool ◽  
Mouse Tracking ◽  
Santa Catarina

Neste artigo apresentamos um método de avaliação da experiência do usuário a partir de métricas de rastreamento de mouse (mouse-tracking). Para identificar as interações no site transmídia De barrio somos utilizamos um sistema quantitativo de rastreamento de interações intitulado Artificial Intelligence and Mouse Tracking-Based user Experience Evaluation Tool (AIMT-UXT). Recorremos à entrevista estruturada para obter dados para confrontar resultados analíticos das interações. Este mapeamento foi feito com alunos de Jornalismo da Universidade Federal de Santa Catarina, que navegaram no site e participaram da pesquisa. Como resultado, observamos maior interesse nos audiovisuais.

An Evaluation Framework for User Experience Using Eye Tracking, Mouse Tracking, Keyboard Input, and Artificial Intelligence: A Case Study

2021 ◽  
pp. 1-15
Author(s):  
Kennedy Edson Silva de Souza ◽  
Igor Leonardo de Aviz ◽  
Harold Dias de Mello ◽  
Karla Figueiredo ◽  
Marley Maria Bernardes Rebuzzi Vellasco ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Eye Tracking ◽  
User Experience ◽  
Evaluation Framework ◽  
Mouse Tracking ◽  
Keyboard Input

Investigating the Impact of Design Thinking, Content Strategy, and Artificial Intelligence: A “Streams” Approach for Technical Communication and User Experience

2021 ◽  
pp. 004728162110419
Author(s):  
Gustav Verhulsdonck ◽  
Tharon Howard ◽  
Jason Tham
Keyword(s):  
Artificial Intelligence ◽  
User Experience ◽  
Technical Communication ◽  
Design Thinking ◽  
Professional Communication ◽  
Ux Design ◽  
Content Strategy ◽  
The Impact ◽  
Technical And Professional Communication ◽  
User Centered

Technical and professional communication (TPC) and user experience (UX) design are often seen as intertwined due to being user-centered. Yet, as widening industry positions combine TPC and UX, new streams enrich our understanding. This article looks at three such streams, namely, design thinking, content strategy, and artificial intelligence to uncover specific industry practices, skills, and ways to advocate for users. These streams foster a multistage user-centered methodology focused on a continuous designing process, strategic ways for developing content across different platforms and channels, and for developing in smart contexts where agentive products act for users. In this article, we synthesize these developments and draw out how these impact TPC.

scholarly journals Reports on the 2017 AAAI Spring Symposium Series

AI Magazine ◽  
2017 ◽  
Vol 38 (4) ◽  
pp. 99-106
Author(s):  
Jeannette Bohg ◽  
Xavier Boix ◽  
Nancy Chang ◽  
Elizabeth F. Churchill ◽  
Vivian Chu ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Computer Science ◽  
User Experience ◽  
Object Perception ◽  
Learning Systems ◽  
Language Understanding ◽  
Social Good ◽  
Symposium Series ◽  
The Social

The Association for the Advancement of Artificial Intelligence, in cooperation with Stanford University's Department of Computer Science, presented the 2017 Spring Symposium Series, held Monday through Wednesday, March 27–29, 2017 on the campus of Stanford University. The eight symposia held were Artificial Intelligence for the Social Good (SS-17-01); Computational Construction Grammar and Natural Language Understanding (SS-17-02); Computational Context: Why It's Important, What It Means, and Can It Be Computed? (SS-17-03); Designing the User Experience of Machine Learning Systems (SS-17-04); Interactive Multisensory Object Perception for Embodied Agents (SS-17-05); Learning from Observation of Humans (SS-17-06); Science of Intelligence: Computational Principles of Natural and Artificial Intelligence (SS-17-07); and Wellbeing AI: From Machine Learning to Subjectivity Oriented Computing (SS-17-08). This report, compiled from organizers of the symposia, summarizes the research that took place.

A User Experience Study on Short Video Social Apps Based on Content Recommendation Algorithm of Artificial Intelligence

2020 ◽  
pp. 2159008
Author(s):  
Wen Qi ◽  
Danyang Li
Keyword(s):  
Artificial Intelligence ◽  
User Experience ◽  
Presentation Mode ◽  
Recommendation Algorithm ◽  
Short Video ◽  
Content Recommendation ◽  
Artificial Intelligence Algorithm ◽  
And Behavior ◽  
The Relationship ◽  
User Experiment

As short video social apps develop rapidly, feed has become the main approach or algorithm to present recommendation content to users in such apps. There are big differences in the way that video apps make use of feed flow based on artificial intelligence algorithm. Two kinds of short video social apps including DouYin and KuaiShou are studied with a user experiment in this paper. Several indicators are established to quantify the user experience differences of these two apps. The results are analyzed with correlation analysis to find out the relationship between user experience performance and content presentation mode of feed flow. The differences found from the results are explained from the perspectives of user cognition and behavior.

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