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Context- and Data-driven Satisfaction Analysis of User Interface Adaptations Based on Instant User FeedbackUsability testing · 2019Modern User Interfaces (UIs) are increasingly expected to be plastic, in the sense that they retain a constant level of usability, even when subjected to context (platform, user, and environment) changes at runtime. Adaptive UIs have been promoted as a solution for context variability due to their ability to automatically adapt to the context-of-use at runtime. However, evaluating end-user satisfaction of adaptive UIs is a challenging task, because the UI and the context-of-use are both constantly changing. Thus, an acceptance analysis of UI adaptation features should consider the context-of-use when adaptations are triggered. Classical usability evaluation methods like usability tests mostly focus on a posteriori analysis techniques and do not fully exploit the potential of collecting implicit and explicit user feedback at runtime. To address this challenge, we present an on-the-fly usability testing solution that combines continuous context monitoring together with collection of instant user feedback to assess end-user satisfaction of UI adaptation features. The solution was applied to a mobile Android mail application, which served as basis for a usability study with 23 participants. A data-driven end-user satisfaction analysis based on the collected context information and user feedback was conducted. The main results show that most of the triggered UI adaptation features were positively rated.

UX of AI & PersonalizationResearch Papers

Wearable ESM: Differences in the Experience Sampling Method across Wearable Devices2016The Experience Sampling Method is widely used for collecting self-report responses from people in natural settings. While most traditional approaches rely on using a phone to trigger prompts and record information, wearable devices now offer new opportunities that may improve this method. This research quantitatively and qualitatively studies the experience sampling process on head-worn and wrist-worn wearable devices, and compares them to the traditional “smartphone in the pocket.” To enable this work, we designed and implemented a custom application to provide similar prompts across the three types of devices and evaluated it with 15 individuals for five days (75 days total), in the context of real-life stress measurement. We found significant differences in response times across devices, and captured tradeoffs in interaction types, screen size, and device familiarity that can affect both users’ experience and the reports made by users. Author Keywords Experience Sampling Method; Ecological Momentary Assessment; wearable devices; smartwatch; smartphone; smart-eyewear; Google Glass. ACM Classification Keywords H.5.2. Information interfaces and presentation: User Interfaces.

UX of AI & PersonalizationResearch Papers

The Discrete Emotions Questionnaire: A New Tool for Measuring State Self-Reported EmotionsCindy Harmon-Jones1, Brock Bastian et al. · 2016Several discrete emotions have broad theoretical and empirical importance, as shown by converging evidence from diverse areas of psychology, including facial displays, develop- mental behaviors, and neuroscience. However, the measurement of these states has not progressed along with theory, such that when researchers measure subjectively experi- enced emotions, they commonly rely on scales assessing broad dimensions of affect (posi- tivity and negativity), rather than discrete emotions. The current manuscript presents four studies that validate a new instrument, the Discrete Emotions Questionnaire (DEQ), that is sensitive to eight distinct state emotions: anger, disgust, fear, anxiety, sadness, happiness, relaxation, and desire. Emotion theory supporting the importance of distinguishing these specific emotions is reviewed.

Emotional DesignResearch Papers

Using a simulated environment to investigate experiences reported during space travel2013Taylor & Francis makes every effort to ensure the accuracy of all the information (the "Content") contained in the publications on our platform. However, Taylor & Francis, our agents, and our licensors make no representations or warranties whatsoever as to the accuracy, completeness, or suitability for any purpose of the Content. Any opinions and views expressed in this publication are the opinions and views of the authors, and are not the views of or endorsed by Taylor & Francis. The accuracy of the Content should not be relied upon and should be independently verified with primary sources of information. Taylor and Francis shall not be liable for any losses, actions, claims, proceedings, demands, costs, expenses, damages, and other liabilities whatsoever or howsoever caused arising directly or indirectly in connection with, in relation to or arising out of the use of the Content.

Emotional DesignResearch Papers

Emotional Design; Application of a Research-Based Design Approach2006In this paper, we discuss an approach to ‘design for wow’ that focuses on the emotions that constitute a wow-experience. In this approach, the eliciting conditions of these emotions are used to define a product character with a high wow-impact. In addition to the approach, a measurable wow-index is introduced. First, a concept of wow is described in which wow is explained as a combination of fascination, pleasant surprise, and desire. The eliciting conditions of these three emotions are examined and combined to a ‘wow-appraisal.’ This concept is applied in the design of a mobile telephone. A combination of qualitative and quantitative research methods was used to formulate concern themes relevant for the wow-appraisal. These themes were used to create a layered product character and a prototype of the final design. An evaluation study demonstrated that the product designed with this approach rated higher on the wow-index than alter- native products.

Emotional DesignResearch Papers

Emotion in Human–Computer InteractionScott Brave · 2002Emotion is a fundamental component of being human. Joy, hate, anger, and pride, among the plethora of other emotions, motivate action and add meaning and richness to virtually all human experience. Traditionally, human–computer interaction (HCI) has been viewed as the "ultimate" exception; users must discard their emotional selves to work efficiently and rationality with computers, the quintessentially unemotional artifact. Emotion seemed at best marginally relevant to HCI and at worst oxymoronic. Recent research in psychology and technology suggests a different view of the relationship between humans, computers, and emotion. After a long period of dormancy and confusion, there has been an explosion of research on the psychology of emotion (Gross, 1999). Emotion is no longer seen as limited to the occasional outburst of fury when a computer crashes inexplicably, excitement when a video game character leaps past an obstacle, or frustration at an incomprehensible error message. It is now understood that a wide range of emotions plays a critical role in every computer-related, goal-directed activity, from developing a three-dimensional (3D) CAD model and running calculations on a spreadsheet, to searching the Web and sending an e-mail, to making an online purchase and playing solitaire. Indeed, many psychologists now argue that it is impossible for a person to have a thought or perform an action without engaging, at least unconsciously, his or her emotional systems (Picard, 1997b).

Emotional DesignResearch Papers

Human factors for pleasure in product usePatrick W. Jordan · 1998The importance of user centred design is increasingly being recognised. Perhaps the most significant evidence for thJs is the growing number of human factors professionals employed both in academia and in industry. Further evidence includes the burgeoning literature addressing issues relating to user centred design, th.e number of conferences concerned with human factors issues and the use of slogans such as 'ergonomically designed' in product advertisements.

Emotional DesignResearch Papers

Patterns of Cognitive Appraisal in EmotionCraig A. Smith, Phoebe C. Ellsworth · 1985There has long been interest in describing emotional experience in terms of underlying dimensions, but traditionally only two dimensions, pleasantness and arousal, have been reliably found. The reasons for these findings are reviewed, and integrating this review with two recent theories of emotions (Roseman, 1984; Scherer, 1982), we propose eight cognitive appraisal dimensions to differentiate emotional experience. In an investigation of this model, subjects recalled past experiences associated with each of 15 emotions, and rated them along the proposed dimensions. Six orthogonal dimensions, pleasantness, anticipated effort, certainty, attentional activity, self-other responsibility~control, and situational control, were recovered, and the emotions varied systematically along each of these dimensions, indicating a strong relation between the appraisal of one's circumstances and one's emotional state. The patterns of appraisal for the different emotions, and the role of each of the dimensions in differentiating emotional experience are discussed.

Emotional DesignResearch Papers

Mapping the Passions: Toward a High-Dimensional Taxonomy of Emotional Experience and Expression1985What would a comprehensive atlas of human emotions include? For 50 years, scientists have sought to map emotion- related experience, expression, physiology, and recognition in terms of the “basic six”—anger, disgust, fear, happiness, sadness, and surprise. Claims about the relationships between these six emotions and prototypical facial configurations have provided the basis for a long-standing debate over the diagnostic value of expression (for review and latest installment in this debate, see Barrett et al., p. 1). Building on recent empirical findings and methodologies, we offer an alternative conceptual and methodological approach that reveals a richer taxonomy of emotion. Dozens of distinct varieties of emotion are reliably distinguished by language, evoked in distinct circumstances, and perceived in distinct expressions of the face, body, and voice. Traditional models—both the basic six and affective-circumplex model (valence and arousal)—capture a fraction of the systematic variability in emotional response. In contrast, emotion- related responses (e.g., the smile of embarrassment, triumphant postures, sympathetic vocalizations, blends of distinct expressions) can be explained by richer models of emotion. Given these developments, we discuss why tests of a basic-six model of emotion are not tests of the diagnostic value of facial expression more generally. Determining the full extent of what facial expressions can tell us, marginally and in conjunction with other behavioral and contextual cues, will require mapping the high-dimensional, continuous space of facial, bodily, and vocal signals onto richly multifaceted experiences using large-scale statistical modeling and machine-learning methods.

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