Adapting Software with Affective Computing: A Systematic Review

Aranha, Renan Vinícius; Corrêa, Cléber Gimenez; Nunes, Fátima L. S.

doi:10.1109/taffc.2019.2902379

Cited by 47 publications

(34 citation statements)

References 65 publications

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“…It is a relatively young field of research, yet it has rapidly grown over the last decades ( Picard, 2015 ). A recent systematic review ( Aranha et al, 2019 ) revealed that education is the most frequent application area of Affective Computing. A majority of studies investigate affectively adaptive digital games, yet affective learning ( Picard et al, 2004 ) also refers to affectively intelligent tutoring, dialogue, agent-based, and other learning systems ( Santos, 2016 ).…”

Section: Digital Game-based Learning Research: Current Practice and Fmentioning

confidence: 99%

Digital Learning Games for Mathematics and Computer Science Education: The Need for Preregistered RCTs, Standardized Methodology, and Advanced Technology

Bertram

2020

Front. Psychol.

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In today's digital information society, mathematical and computational skills are becoming increasingly important. With the demand for mathematical and computational literacy rising, the question of how these skills can be effectively taught in schools is among the top priorities in education. Game-based learning promises to diversify education, increase students' interest and motivation, and offer positive and effective learning experiences. Especially digital game-based learning (DGBL) is considered an effective educational tool for improving education in classrooms of the future. Yet, learning is a complex psychological phenomenon and the effectiveness of digital games for learning cannot be taken for granted. This is partly due to a diversity of methodological approaches in the literature and partly due to theoretical and practical considerations. We present core elements of psychological theories of learning and derive arguments for and against DGBL and non-DGBL. We discuss previous literature on DGBL in mathematics education from a methodological point of view and infer the need for randomized controlled trials for effectiveness evaluations. To increase comparability of empirical results, we propose methodological standards for future educational research. The value of multidisciplinary research projects to advance the field of DGBL is discussed and a synergy of Affective Computing and Optimal Experimental Design (OED) techniques is proposed for the implementation of adaptive technologies in digital learning games. Finally, we make suggestions for game content, which would be suitable for preparing students for university-level mathematics and computer science education, and discuss the potential limitations of DGBL in the classroom.

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Section: Digital Game-based Learning Research: Current Practice and Fmentioning

confidence: 99%

Digital Learning Games for Mathematics and Computer Science Education: The Need for Preregistered RCTs, Standardized Methodology, and Advanced Technology

Bertram

2020

Front. Psychol.

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“…A PhD research currently developing aims to not only provide the automatic adaptation of serious games of general purpose, but also to include the analysis of the user's personality in this context [5]. In this sense, a systematic review was developed in order to analyze how the user's personality traits imply the experience of using VR systems [6], as well as a systematic literature review to identify emotion recognition techniques [7].…”

Section: Serious Gamesmentioning

confidence: 99%

Virtual Reality, Augmented Reality and Beyond: Laboratory of Computer Applications for Health Care at University of São Paulo

Nunes¹,

Aranha

Testa

et al. 2020

Revista CI

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The Laboratory of Computer Applications for Health Care at University of São Paulo develop multidisciplinary research involving Computer Science areas and other knowledge fields such as Physiotherapy, Psychiatry, Radiology, and Cardiology. Most studies use concepts besides Computer Science, by aggregating knowledge to solve real problems. In this paper we present the main projects in Virtual Reality and Augmented Reality areas, highlighting serious games, computer-aided diagnosis and therapy, simulation and training. Besides the social and scientific impact inherent to the type of the developed research, some systems are available to health professionals in order to allow technology transfer and consequent technological and economic impact in daily activities of health tasks.

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“…The last two decades have witnessed a surge of research on affective computing systems that aim to detect human emotion and stress based on physiological signals [1], [2], [3]. Such systems have been used in a variety of applications with the aim of inferring, with some specificity, the occurrence of emotional and/or cognitive states that in turn affect human user engagement, performance, and health [4], [5], [6], [7].…”

Section: Introductionmentioning

confidence: 99%

Multilevel Longitudinal Analysis of Shooting Performance as a Function of Stress and Cardiovascular Responses

Spangler

Alam

Rahman

et al. 2021

IEEE Trans. Affective Comput.

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Virtual reality (VR) systems are increasingly using physiology to improve human training. However, these systems do not account for the complex intra-individual variability in physiology and human performance across multiple timescales and psychophysiological demands. To fill this gap, we propose a theory of multilevel variability where tractable neurobiological mechanisms generate complex variability in performance over time and in response to heterogeneous sources. Based on this theory, we also present a study that examines changes in cardiovascular activity and performance during a stressful shooting task in VR. We examined physiology and performance at three important levels of analysis: task-to-task, block-to-block, session-to-session. Findings indicated joint patterns of physiology and performance that notably varied by the level of analysis. At the task level, higher task difficulty worsened performance but did not change cardiovascular activation. At the block level, there were nonlinear changes in performance and heart rate variability. At the session level, performance improved while blood pressure decreased and heart rate variability increased across days. Of all the physiological metrics, only heart rate variability was correlated with marksmanship performance. Findings are consistent with our multilevel theory and highlight the need for VR and other affective computing systems to assess physiology across multiple timescales.

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Adapting Software with Affective Computing: A Systematic Review

Cited by 47 publications

References 65 publications

Digital Learning Games for Mathematics and Computer Science Education: The Need for Preregistered RCTs, Standardized Methodology, and Advanced Technology

Digital Learning Games for Mathematics and Computer Science Education: The Need for Preregistered RCTs, Standardized Methodology, and Advanced Technology

Virtual Reality, Augmented Reality and Beyond: Laboratory of Computer Applications for Health Care at University of São Paulo

Multilevel Longitudinal Analysis of Shooting Performance as a Function of Stress and Cardiovascular Responses

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