The illness narratives of Hispanic American women with coronary heart disease (CHD): An ethnographic approach

Purpose. To provide a descriptive representation of the illness narratives described by Hispanic American women with CHD. ^ Design. Focused ethnographic design. ^ Setting. One outpatient general medicine clinic, one nurse-managed health promotion clinic, and informants' homes in a large metropolitan city located in southeast Texas. ^ Sample. Purposeful sampling from two different sites resulted in 17 interviews being conducted with 14 informants. ^ Method. Focused ethnographic techniques were employed in the designation of participants for the study, data collection, analysis and re-presentation. Audiotaped interviews and fieldwork were transcribed verbatim and analyzed through an iterative process of data reduction, data display, drawing conclusions and verification. ^ Findings. The developing conceptual framework that emerged from the data is labeled after the overarching experience described by informants, the experience of Embodied Exhaustion. Embodied Exhaustion, as described in this study, refers to an ongoing, dynamic, indeterminate experience of mind-body exhaustion resulting from a complex constellation of biologic, psychological and social distresses occurring over the life course. The experience consists of three categories: Taking Care of Others, Wearing Down and Hurting Hearts. Two stabilizing forces were identified: Collective Self and Believing in God. ^ Conclusions. The findings of this study emphasize the importance of framing all research, theory and practice targeting Hispanic women with CHD within a sociocentric paradigm. Nursing is challenged to provide care that extends beyond the physical body of the patient to include the social context of illness, especially the family. ^

A Satisfaction-based Model for Affect Recognition from Conversational Features in Spoken Dialog Systems

Detecting user affect automatically during real-time conversation is the main challenge towards our greater aim of infusing social intelligence into a natural-language mixed-initiative High-Fidelity (Hi-Fi) audio control spoken dialog agent. In recent years, studies on affect detection from voice have moved on to using realistic, non-acted data, which is subtler. However, it is more challenging to perceive subtler emotions and this is demonstrated in tasks such as labelling and machine prediction. This paper attempts to address part of this challenge by considering the role of user satisfaction ratings and also conversational/dialog features in discriminating contentment and frustration, two types of emotions that are known to be prevalent within spoken human-computer interaction. However, given the laboratory constraints, users might be positively biased when rating the system, indirectly making the reliability of the satisfaction data questionable. Machine learning experiments were conducted on two datasets, users and annotators, which were then compared in order to assess the reliability of these datasets. Our results indicated that standard classifiers were significantly more successful in discriminating the abovementioned emotions and their intensities (reflected by user satisfaction ratings) from annotator data than from user data. These results corroborated that: first, satisfaction data could be used directly as an alternative target variable to model affect, and that they could be predicted exclusively by dialog features. Second, these were only true when trying to predict the abovementioned emotions using annotator?s data, suggesting that user bias does exist in a laboratory-led evaluation.

User-centric need-driven affect modeling for spoken conversational agents: design and evaluation

It is easy to get frustrated at spoken conversational agents (SCAs), perhaps because they seem to be callous. By and large, the quality of human-computer interaction is affected due to the inability of the SCAs to recognise and adapt to user emotional state. Now with the mass appeal of artificially-mediated communication, there has been an increasing need for SCAs to be socially and emotionally intelligent, that is, to infer and adapt to their human interlocutors’ emotions on the fly, in order to ascertain an affective, empathetic and naturalistic interaction. An enhanced quality of interaction would reduce users’ frustrations and consequently increase their satisfactions. These reasons have motivated the development of SCAs towards including socio-emotional elements, turning them into affective and socially-sensitive interfaces. One barrier to the creation of such interfaces has been the lack of methods for modelling emotions in a task-independent environment. Most emotion models for spoken dialog systems are task-dependent and thus cannot be used “as-is” in different applications. This Thesis focuses on improving this, in which it concerns computational modeling of emotion, personality and their interrelationship for task-independent autonomous SCAs. The generation of emotion is driven by needs, inspired by human’s motivational systems. The work in this Thesis is organised in three stages, each one with its own contribution. The first stage involved defining, integrating and quantifying the psychological-based motivational and emotional models sourced from. Later these were transformed into a computational model by implementing them into software entities. The computational model was then incorporated and put to test with an existing SCA host, a HiFi-control agent. The second stage concerned automatic prediction of affect, which has been the main challenge towards the greater aim of infusing social intelligence into the HiFi agent. In recent years, studies on affect detection from voice have moved on to using realistic, non-acted data, which is subtler. However, it is more challenging to perceive subtler emotions and this is demonstrated in tasks such as labelling and machine prediction. In this stage, we attempted to address part of this challenge by considering the roles of user satisfaction ratings and conversational/dialog features as the respective target and predictors in discriminating contentment and frustration, two types of emotions that are known to be prevalent within spoken human-computer interaction. The final stage concerned the evaluation of the emotional model through the HiFi agent. A series of user studies with 70 subjects were conducted in a real-time environment, each in a different phase and with its own conditions. All the studies involved the comparisons between the baseline non-modified and the modified agent. The findings have gone some way towards enhancing our understanding of the utility of emotion in spoken dialog systems in several ways; first, an SCA should not express its emotions blindly, albeit positive. Rather, it should adapt its emotions to user states. Second, low performance in an SCA may be compensated by the exploitation of emotion. Third, the expression of emotion through the exploitation of prosody could better improve users’ perceptions of an SCA compared to exploiting emotions through just lexical contents. Taken together, these findings not only support the success of the emotional model, but also provide substantial evidences with respect to the benefits of adding emotion in an SCA, especially in mitigating users’ frustrations and ultimately improving their satisfactions. Resumen Es relativamente fácil experimentar cierta frustración al interaccionar con agentes conversacionales (Spoken Conversational Agents, SCA), a menudo porque parecen ser un poco insensibles. En general, la calidad de la interacción persona-agente se ve en cierto modo afectada por la incapacidad de los SCAs para identificar y adaptarse al estado emocional de sus usuarios. Actualmente, y debido al creciente atractivo e interés de dichos agentes, surge la necesidad de hacer de los SCAs unos seres cada vez más sociales y emocionalmente inteligentes, es decir, con capacidad para inferir y adaptarse a las emociones de sus interlocutores humanos sobre la marcha, de modo que la interacción resulte más afectiva, empática y, en definitiva, natural. Una interacción mejorada en este sentido permitiría reducir la posible frustración de los usuarios y, en consecuencia, mejorar el nivel de satisfacción alcanzado por los mismos. Estos argumentos justifican y motivan el desarrollo de nuevos SCAs con capacidades socio-emocionales, dotados de interfaces afectivas y socialmente sensibles. Una de las barreras para la creación de tales interfaces ha sido la falta de métodos de modelado de emociones en entornos independientes de tarea. La mayoría de los modelos emocionales empleados por los sistemas de diálogo hablado actuales son dependientes de tarea y, por tanto, no pueden utilizarse "tal cual" en diferentes dominios o aplicaciones. Esta tesis se centra precisamente en la mejora de este aspecto, la definición de modelos computacionales de las emociones, la personalidad y su interrelación para SCAs autónomos e independientes de tarea. Inspirada en los sistemas motivacionales humanos en el ámbito de la psicología, la tesis propone un modelo de generación/producción de la emoción basado en necesidades. El trabajo realizado en la presente tesis está organizado en tres etapas diferenciadas, cada una con su propia contribución. La primera etapa incluyó la definición, integración y cuantificación de los modelos motivacionales de partida y de los modelos emocionales derivados a partir de éstos. Posteriormente, dichos modelos emocionales fueron plasmados en un modelo computacional mediante su implementación software. Este modelo computacional fue incorporado y probado en un SCA anfitrión ya existente, un agente con capacidad para controlar un equipo HiFi, de alta fidelidad. La segunda etapa se orientó hacia el reconocimiento automático de la emoción, aspecto que ha constituido el principal desafío en relación al objetivo mayor de infundir inteligencia social en el agente HiFi. En los últimos años, los estudios sobre reconocimiento de emociones a partir de la voz han pasado de emplear datos actuados a usar datos reales en los que la presencia u observación de emociones se produce de una manera mucho más sutil. El reconocimiento de emociones bajo estas condiciones resulta mucho más complicado y esta dificultad se pone de manifiesto en tareas tales como el etiquetado y el aprendizaje automático. En esta etapa, se abordó el problema del reconocimiento de las emociones del usuario a partir de características o métricas derivadas del propio diálogo usuario-agente. Gracias a dichas métricas, empleadas como predictores o indicadores del grado o nivel de satisfacción alcanzado por el usuario, fue posible discriminar entre satisfacción y frustración, las dos emociones prevalentes durante la interacción usuario-agente. La etapa final corresponde fundamentalmente a la evaluación del modelo emocional por medio del agente Hifi. Con ese propósito se llevó a cabo una serie de estudios con usuarios reales, 70 sujetos, interaccionando con diferentes versiones del agente Hifi en tiempo real, cada uno en una fase diferente y con sus propias características o capacidades emocionales. En particular, todos los estudios realizados han profundizado en la comparación entre una versión de referencia del agente no dotada de ningún comportamiento o característica emocional, y una versión del agente modificada convenientemente con el modelo emocional propuesto. Los resultados obtenidos nos han permitido comprender y valorar mejor la utilidad de las emociones en los sistemas de diálogo hablado. Dicha utilidad depende de varios aspectos. En primer lugar, un SCA no debe expresar sus emociones a ciegas o arbitrariamente, incluso aunque éstas sean positivas. Más bien, debe adaptar sus emociones a los diferentes estados de los usuarios. En segundo lugar, un funcionamiento relativamente pobre por parte de un SCA podría compensarse, en cierto modo, dotando al SCA de comportamiento y capacidades emocionales. En tercer lugar, aprovechar la prosodia como vehículo para expresar las emociones, de manera complementaria al empleo de mensajes con un contenido emocional específico tanto desde el punto de vista léxico como semántico, ayuda a mejorar la percepción por parte de los usuarios de un SCA. Tomados en conjunto, los resultados alcanzados no sólo confirman el éxito del modelo emocional, sino xv que constituyen además una evidencia decisiva con respecto a los beneficios de incorporar emociones en un SCA, especialmente en cuanto a reducir el nivel de frustración de los usuarios y, en última instancia, mejorar su satisfacción.

I feel you: Towards affect-sensitive domotic Spoken Conversational Agents

We describe the work on infusion of emotion into limitedtask autonomous spoken conversational agents (SCAs) situated in the domestic environment, using a Need-inspired task-independentEmotion model (NEMO). In order to demonstrate the generation of a?ect through the use of the model, we describe the work of integrating it with a naturallanguage mixed-initiative HiFi-control SCA. NEMO and the host system communicates externally, removing the need for the Dialog Manager to be modi?ed as done in most existing dialog systems, in order to be adaptive. We also summarize the work on automatic a?ect prediction, namely frustration and contentment from dialog features, a non-conventional source, in the attempt of moving towards a more user-centric approach.

I feel you: the design and evaluation of a domotic affect-sensitive spoken conversational agent

We describe the work on infusion of emotion into a limited-task autonomous spoken conversational agent situated in the domestic environment, using a need-inspired task-independent emotion model (NEMO). In order to demonstrate the generation of affect through the use of the model, we describe the work of integrating it with a natural-language mixed-initiative HiFi-control spoken conversational agent (SCA). NEMO and the host system communicate externally, removing the need for the Dialog Manager to be modified, as is done in most existing dialog systems, in order to be adaptive. The first part of the paper concerns the integration between NEMO and the host agent. The second part summarizes the work on automatic affect prediction, namely, frustration and contentment, from dialog features, a non-conventional source, in the attempt of moving towards a more user-centric approach. The final part reports the evaluation results obtained from a user study, in which both versions of the agent (non-adaptive and emotionally-adaptive) were compared. The results provide substantial evidences with respect to the benefits of adding emotion in a spoken conversational agent, especially in mitigating users' frustrations and, ultimately, improving their satisfaction.

TIMPANO: Technology for complex Human-Machine conversational interaction with dynamic learning

El proyecto TIMPANO tiene por objetivo profundizar en el desarrollo de sistemas de comunicación oral hombre-máquina atendiendo principalmente a la capacidad de dar respuesta a múltiples requerimientos de los usuarios, como pueden ser el acceso a información, la extracción de información, o el análisis de grandes repositorios de información en audio. En el proyecto se hace especial énfasis en la adaptación dinámica de los modelos a diversos contextos, tanto de tipo acústico, como semántico o de idioma.

Remembering Liberal Feminism In Radical Ways: Locating Conservative Strategies In The Narratives Of Dr. Christina Hoff Sommers, Tammy Bruce, And Dr. Laura Schlessinger

This dissertation identifies and challenges post-feminist narratives that remember the second wave or 1960s and 1970s liberal feminism as a radical form of activism. The narratives of three prominent post-feminist authors: Dr. Christina Hoff Sommers, Tammy Bruce and Dr. Laura Schlessinger are used as examples of how identification works as a rhetorical device that motivates individual actors to join in a struggle against liberal and radical feminist ideologies. I argue that each author draws on classically liberal and politically conservative virtues to define a "true" feminism that is at odds with alternative feminist commitments. I demonstrate how these authors create a subject position of a "true feminist" that is reminiscent of the classically liberal suffragist. In Burkean terms, each author constitutes the suffragist as a friend and juxtaposes her with the enemy--modern liberal and radical feminists. I articulate the consequences of such dialectical portrayals of feminist activism and further suggest that these authors' visions of feminism reinforce patriarchal practices, urging women to assimilate into a classically liberal society at the cost of social justice. In opposition to their memories of feminism, I offer a radical democratic approach of remembering feminism that is less concerned with the definition of feminism or feminist than it is with holistically addressing oppression and what oppression means to subjugated populations.

Struggling, Coping, And Thriving: Sense-Making In Stepfamily Couples' Narratives About Coparenting

The term coparenting implies a bioparental dyad that often excludes the stepparent's role in sharing parenting across joint-custody households. Focusing solely on this dyad also precludes gaining an understanding of how stepfamily couples manage together the communication and sharing of parental responsibilities with the parent(s) in the shared children's other home. In a departure from this bioparental dyad-focused approach, this study locates the stepfamily couple at the center of an inquiry into managing coparenting across households. This mixed methods design study included in-depth interviews of 32 stepfamily couples whose narratives about coparenting were analyzed using grounded theory methods. Forty-one percent of stepparents engage in direct coparenting communication, sometimes manifested as the coactive approach identified in this study. Stepfamily couples also involve the stepparent indirectly in coparenting communication, through the conferred and consultative approaches. As well, the couples' narratives about coparenting identify them as either united, where they share the experience, or divided, where coparenting is reserved exclusively for the bioparent to manage. The stepfamily couples' narratives about significant coparenting experiences revealed that they experience and make sense of coparenting as 1) struggling, 2) coping, or 3) thriving. No significant relationship was found between marital satisfaction and experiencing coparenting as strugglers, copers or thrivers. Grounded theory analysis of these narratives also reflects the four dichotomous dimensions of 1) regard-disregard, 2) decency-duplicity, 3) facilitation-interference, and 4) accommodation-inflexibility. Significant incidents located along these dimensions contribute to the stepfamily couples' identification as struggling, coping, or thriving in coparenting. Experiences on the extreme ends of the dichotomous dimensions generate positive and negative turning points for the coparenting interactions and relationships. As well, experiences on the negative end of the dimensional poles can present challenges for the stepfamily couples. Finally, a synthesis of the findings related to the dichotomous dimensions generates a theory of shared parenting values expectancy.

Performing the personal within the organizational: Communicating professional identities through Taiwanese commercial airline pilots' personal narratives

This dissertation project explored professionalism and the performance of identities by examining Taiwanese commercial airline pilots' discursive practices in everyday life. The intentions for this project were to not only expand current knowledge of organizational communication from a critical rhetorical perspective, but to further explore the under-appreciated concept of professionalism of organizational members. Theoretically, I traced theoretical analysis in the sociology of professions and further investigated scholarship from identity research in organizational communication studies. This research agenda helped to advance communication-based understandings of the meanings and practices of professional identity as a complement to the sociological conception. I further merged a performance paradigm and critical rhetorical perspective to examine the discursive practices of organizational members and to challenge the bias of traditional textual approaches. Methodologically, I conducted ethnographic interviews with Taiwanese commercial airline pilots in order to understand how they construct their personal, social, and professional identities. Five narrative themes were identified and demonstrated in this project: (1) It takes a lot to become a commercial airline pilot, (2) Being a professional commercial airline pilot is to build up sufficient knowledge, beyond average skill, and correct attitude, (3) Pilots' resistance and dissent toward company management, (4) Popular (re)presentation influences professionalism, (5) Power and fear affect professionalism. Pilots' personal narratives were presented in performative writing and in poetic transcription to make word alive with sounds featuring their meanings. Their personal storytelling created a dialogic space to not only let pilots' voice to be heard but also revealed how identities are created within and against a larger organizational identity. Overall, this project demonstrated the interdisciplinary examination of the meanings, functions, and consequence of discursive practices in everyday professional life. It also critiqued relationships between power, domination, and resistance while reintroducing the roles of the body and materiality in the domain of professionalism, and provides ethical readings of larger and complex organizational cultures. Applying communication-oriented analysis to study professionalism indeed challenged the long time neglected phenomena regarding the power of the symbolic in sociological approaches and raised the awareness of structural, material, and bodily condition of work.

Once Upon a Time in Therapy: Crafting Therapeutic Narratives to Help Familiarize Children with the Therapeutic Process.

Young children often harbor misconceptions about psychotherapy and the role of psychologists. These misconceptions are ignited by rumors and misinformation that are provided to the child by a variety of sources and can compromise both the effectiveness of therapy and the therapeutic dyad. In this paper we explore how recent trends in patient engagement in child psychotherapy, cultural dynamics between patients and practitioners, and children's lack of knowledge surrounding mental health services can negatively impact therapy. Wednesday Afternoons with Dr. J. (WADJ) is a whimsical fictional therapeutic narrative created to inform children about aspects of the therapeutic process while providing adults with tangible structure surrounding how to talk to children about mental healthcare. The advantages of utilizing this narrative to prime children for therapy are discussed, as are methods for promoting the narrative to the greater community.

Phraseological features in conversational routines: An integrative model of autonomy

This paper deals with the analysis of routine formulas according to their degree of independence in discourse, with the aim of establishing a gradual line which restructures Sphere III (Corpas 1996, Alvarado 2015) — where phraseological utterances belong. The system developed by Briz and the Val.Es.Co. Group (2003, 2014) will help us segment conversation and check that phraseological utterances show various degrees of independence, both in Peninsular Spanish and in Latin American Spanish, which will make it possible to restructure Sphere III. The methodology utilized corresponds to the phraseological and pragmatic approach, and the examples were extracted from the Corpus de Conversaciones Coloquiales of Briz and the Val.Es.Co. Group (2002), and from the Corpus Preseea (2014).

Narratives to be recited at the commemorative assembly (majlis) held on the 10th and 20th days after the martyrdom anniversary of Imām Ḥusain : manuscript, 1890?

Title provided by cataloger.

Narratives and counter-narratives on "marriage of convenience" : conjugality and (il)legality in portuguese migration policies and in couples’ experiences

Tese de doutoramento, Sociologia (Sociologia da Família, Juventude e das Relações do Género), Universidade de Lisboa, Instituto de Ciências Sociais, 2016