Controlled user evaluations of information visualization interfaces for text retrieval: Literature review and meta-analysis

By Charles-Antoine Julien, John E. Leide. 2008

1,467 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/df3e127f95e26a63b681e1fa0e17a62cbd8efb57

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In Artificial Intelligence

Citations in the corpus

Steering user behavior with badges (2013, background): “As noted in the introduction, two methodologies that have been brought to bear on this question in the computing literature are (i) social-psychological perspectives on the notion of engagement and social motivators [5, 6, 17]; and (ii) algorithmic game-theoretic and economic approaches, including i”
The influence of hedonic and utilitarian motivations on user engagement: The case of online shopping experiences (2010, methodology): “O'Brien and Toms (O'Brien and Toms, 2008) used this framework to propose a process-based model of engagement consisting of a point of engagement, a period of sustained engagement, disengagement, and re-engagement.”
Returning is Believing: Optimizing Long-term User Engagement in Recommender Systems (2017, background): “3133025 depends on the quality of user engagement [19, 24], which is considered as a desirable, even essential, human response to computermediated activities.”
The Person-Based Approach to Intervention Development: Application to Digital Health-Related Behavior Change Interventions (2015, background): “There are also points of convergence between the person-based approach and the evaluation of dimensions of the user perspective such as acceptability, engagement, trust, and satisfaction [35-37].”
Measuring engagement in video game-based environments: Investigation of the User Engagement Scale (2014, methodology): “While O'Brien and Toms (2008) provide a comprehensive review of the different theoretical sources of their identified facets of engagement, the work of Hassenzahl, Diefenbach, and Göritz (2010) can be used to provide a very succinct lens by organizing these experiences and motivations for…”
Emerging trends and new developments in information science: a document co-citation analysis (2009–2016) (2018, neutral): “However, most research identifying the research topics through ACA have employed manual cluster labeling (Persson 1994, 2001, 2010; White and McCain 1998; Zhao and Strotmann 2008a, b, c, 2014; Klavans et al. 2009; Jeong et al. 2014; Yang and Wang 2015; Yang et al. 2016).”
Measuring Engagement in eHealth and mHealth Behavior Change Interventions: Viewpoint of Methodologies (2018, background): “Both Perski et al and Yardley et al extend previous models [6,9-11] by considering the interaction between usage and psychological processes.”
Conceptualising engagement with digital behaviour change interventions: a systematic review using principles from critical interpretive synthesis (2016, methodology): “For example, the framework proposed by O’Brien and Toms [28], notwithstanding its grounding in empirical observations, drew only on research from the technology literature and focused on Bengagement as flow^ without any links to behaviour change.”
A practical approach to measuring user engagement with the refined user engagement scale (UES) and new UES short form (2018, methodology): “There is some consensus that user engagement is affective, cognitive and behavioural in nature ( O ’Brien, 2016a; O ’Brien and Toms, 2008 ).”
Gameplay Engagement and Learning in Game-Based Learning (2015, background): “These theoretical frameworks have helped further explain the psychological aspects underlying the use of digital media (Lucas & Sherry, 2004; O’Brien & Toms, 2008; Vorderer & Bryant, 2006), including emotions in games (Boyle et al., 2012).”