Filtered by themePhysiological measures7 papersclear ✕

Multimodal Differentiation of Obstacles in Repeated Adaptive Human-Computer InteractionsFelix Putze · 2021Human Computer Interaction can be impeded by various interac- tion obstacles, impacting a user’s perception or cognition. In this work, we detect and discriminate such interaction obstacles from different data modalities to compensate for them through User Interface (UI) adaptation. For example, we detect memory-based obstacles from brain activity and compensate through repetition of information in the UI; we detect visual obstacles from user behavior and compensate by complementing visual with auditory informa- tion in the UI. Online cognitive adaptive systems should be able to decide the most suitable UI adaptation given inputs from several obstacles detectors. In this paper, we employ a Bayesian fusion approach upon different underlying obstacles detectors over mul- tiple consecutive interaction sessions. Experimental results show that the model promisingly outperforms the baseline in the first interaction with an average accuracy of 72.5% and further improves drastically in subsequent interactions with additional information, with an average accuracy of 98%. CCS CONCEPTS • Human-centered computing →User models.

UX of AI & PersonalizationResearch Papers

Physiology-based personalization of persuasive technology: a user modeling perspectiveSpelt · 2021Persuasive technology (PT) can assist in behavior change. PT systems often rely on user models, based on behavior and self-report data, to personalize their function- alities and thereby increase efficiency. This review paper shows how physiological measurements could be used to further improve user models for personalization of PT by means of bio-cybernetic loops and data-driven approaches. Furthermore, we outline the advantages of using physiological measures for personalization compared to self-report and behavior measurement. Additionally, we show how two types of physiological information—physiological states and physiological reactivity—can be relevant for PT adaptations. To illustrate this, we present a model with two types of physiology-based PT adaptations as part of a bio-cybernetic loop; state-based and reactivity-based. Next, we discuss the implications of physiology-aware PT for per- suasive design and theory. And lastly, because of the potential impact of such systems, we also consider important ethical implications of physiology-aware PT. B Hanne A. A. Spelt [hanne.spelt@philips.com](mailto:hanne.spelt@philips.com); [h.a.a.spelt@tue.nl](mailto:h.a.a.spelt@tue.nl) Joyce H. D. M. Westerink [joyce.westerink@philips.com](mailto:joyce.westerink@philips.com); [j.h.d.m.westerink@tue.nl](mailto:j.h.d.m.westerink@tue.nl) Lily Frank [l.e.frank@tue.nl](mailto:l.e.frank@tue.nl) Jaap Ham [j.r.c.ham@tue.nl](mailto:j.r.c.ham@tue.nl) Wijnand A. IJsselsteijn [w.a.ijsselsteijn@tue.nl](mailto:w.a.ijsselsteijn@tue.nl) 1 Digital Engagement, Cognition & Behavior Group, Philips Research, High Tech Campus 34, 5656 AE Eindhoven, The Netherlands 2 Human-Technology Interaction Group, Faculty Industrial Engineering & Innovation Sciences, Eindhoven University of Technology, Postbus 513, 5600 MB Eindhoven, The Netherlands 3 Philosophy & Ethics Group, Faculty Industrial Engineering & Innovation Sciences, Eindhoven University of Technology, Postbus 513, 5600 MB Eindhoven, The Netherlands 123 134 H. A. A. Spelt et al.

UX of AI & PersonalizationResearch Papers

Adaptive user modelling in car racing games using behavioural and physiological dataTheodosis Georgiou, Yiannis Demiris · 2015Personalised content adaptation has great potential to increase user engage- ment in video games. Procedural generation of user-tailored content increases the self-motivation of players as they immerse themselves in the virtual world. An adap- tive user model is needed to capture the skills of the player and enable automatic game content altering algorithms to fit the individual user. We propose an adaptive user modelling approach using a combination of unobtrusive physiological data to iden- tify strengths and weaknesses in user performance in car racing games. Our system creates user-tailored tracks to improve driving habits and user experience, and to keep engagement at high levels. The user modelling approach adopts concepts from the Trace Theory framework; it uses machine learning to extract features from the user’s physiological data and game-related actions, and cluster them into low level primi- tives. These primitives are transformed and evaluated into higher level abstractions such as experience, exploration and attention. These abstractions are subsequently used to provide track alteration decisions for the player. Collection of data and feed- back from 52 users allowed us to associate key model variables and outcomes to user responses, and to verify that the model provides statistically significant decisions per- sonalised to the individual player. Tailored game content variations between users in our experiments, as well as the correlations with user satisfaction demonstrate that our algorithm is able to automatically incorporate user feedback in subsequent procedural content generation. B Theodosis Georgiou theodosis.georgiou08@imperial.ac.uk Yiannis Demiris y.demiris@imperial.ac.uk 1 Personal Robotics Laboratory, Department of Electrical and Electronic Engineering, Imperial College London, Exhibition Road, South Kensington, London SW7 2BT, UK 123 268 T. Georgiou, Y. Demiris

UX of AI & PersonalizationResearch Papers

NeuroDesign: Making decisions and solving problems through understanding of the human brain2020This paper introduces an emerging research field called NeuroDe- sign, which combines psychology, neuroscience, computer science, and design. It applies the cutting-edge cross-domain research methods to collect the designer’s physiological data and psychological data, which has essential experimental support significance for this research field. Studies on NeuroDe- sign are based on neuroscience and use psychology methods and computer models to study design-related activities. The combination of neuroscience and design is an emerging field, and researching in this field has considerable significance.

Emotional DesignResearch Papers

EMOTION MONITORING – VERIFICATION OF PHYSIOLOGICAL CHARACTERISTICS MEASUREMENT PROCEDURES Agnieszka Landowska2014This paper concerns measurement procedures on an emotion monitoring stand designed for tracking human emotions in the Human-Computer Interaction with physiological characteristics. The paper addresses the key problem of physiological measurements being disturbed by a motion typical for human-computer interaction such as keyboard typing or mouse movements. An original experiment is described, that aimed at practical evaluation of measurement procedures performed at the emotion monitoring stand constructed at GUT. Different locations of sensors were considered and evaluated for suitability and measurement precision in the Human- Computer Interaction monitoring. Alternative locations (ear lobes and forearms) for skin conductance, blood volume pulse and temperature sensors were proposed and verified. Alternative locations proved correlation with traditional locations as well as lower sensitiveness to movements like typing or mouse moving, therefore they can make a better solution for monitoring the Human-Computer Interaction.

Emotional DesignResearch Papers

SMARTPHONE FOR SELF-MANAGEMENT OF PSYCHOLOGICAL STRESS: A PRELIMINARY EVALUATION OF POSITIVE TECHNOLOGY APPSILVIA SERINO, PIETRO CIPRESSO et al. · 2014In recent years, there is growing interest in the use of advanced technologies for suppor- ting well-being. The aim of this study was to test the efficacy of Positive Technology, the first application for smartphone and tablet that exploits the potential of new technologies and wearable biosensors for the self-management of psychological stress. 68 users who performed guided rela- xation or biofeedback exercises for at least 120 seconds were included in the sample. The stress management exercises performed with the application were effective in reducing users’ psycholo- gical stress level. It is possible to note a significant decrease in the arousal, associated with a con- comitant increase in the hedonic valence after the stress management exercises. A decrease in heart rate values was observed, although it was not statistically significant. Although preliminary, overa- ll these data suggest that even a brief stress management exercise carried out on a mobile application might be useful to reduce psychological discomfort.

Emotional DesignResearch Papers

Measurement of Trust in Automation: A Narrative Review and Reference Guide2021With the rise of automated and autonomous agents, research examining Trust in Automation (TiA) has attracted considerable attention over the last few decades. Trust is a rich and complex construct which has sparked a multitude of measures and approaches to study and understand it. This comprehensive narrative review addresses known methods that have been used to capture TiA. We examined measurements deployed in existing empirical works, categorized those measures into self-report, behavioral, and physiological indices, and examined them within the context of an existing model of trust. The resulting work provides a reference guide for researchers, providing a list of available TiA measurement methods along with the model-derived constructs that they capture including judgments of trustworthiness, trust attitudes, and trusting behaviors. The article concludes with recommendations on how to improve the current state of TiA measurement.

HCI & Adaptive InterfacesResearch Papers