Impact de la communication voco-visuelle dans le management sur la motivation des collaborateurs

Our research work wishes to highlight the importance of the relationship between the vocal and physical behaviour of the manager and team motivation. In order to investigate this important relationship, a survey by means of a questionnaire and two field studies were undertaken. The survey has notably showed that in communication situations the working population questioned is above all sensitive to physical behaviour. The people questioned often put vocal communication in second place. It should be noted that their principal factor of motivation within the professional environment is recognition and respect for the individual. According to them, for physical behaviour, it is mainly through the eyes, followed by facial expressions and then the manager's posture that recognition and respect for the individual are expressed. With regard to vocal behaviour, these elements can be expressed through the intonation, tone and loudness of the voice. The field studies and the decision to prioritize the analysis of physical behaviour allowed us to confirm whether this body language, a sign of recognition and respect of the individual and therefore source of motivation, was a reality and resulted in a successful contact. In the working place, the way the manager looks at his team, notably, can be lacking or even absent and consequently this absence can be perceived as a closure. Therefore, if we follow our logic, this could have an influence on staff motivation. We therefore decided to complete our field studies by having the teams pass a connotation test to find out their real feelings towards their manager's behaviour. It appears that the manager's recognition for them takes second place to other equally necessary managerial qualities such as strength, endurance and a proactive personality which are widely accepted. The conclusions of the questionnaire survey have therefore been confirmed by the qualitative study. By proceeding stage by stage, our research has therefore managed to confirm the real relationship between the principal factor of motivation for staff "recognition and respect of the individual" and the physical behaviour "look, facial expression and posture" which expresses this recognition. And by really taking into consideration the relationship of vocal and visual behaviour to motivation, every manager can encourage a better quality of understanding within his team. This active listening will allow him to build a complementary and successful team by placing the right person in the right place! Henceforth, every individual's satisfaction at work becomes progressively a collective effort and a real social culture within the working place begins to grow…

Creative-Learning Innovation Cycle - CLIC

Vincent Nassar

WHY do certain leaders’ management of organizational resources encourage creative people engaged in New Product Development (NPD) to achieve high performance, on time, while other leaders’ practices foster frustration and delays? In this research project I attempt to understand the WHY and HOW of leaders’ management of organizational resources in the context of Csikszentmihalyi’s phenomenon of Flow. Flow is most likely to occur when people perceive a balance between the challenge of a situation and their professional abilities to deal with the challenge. “Being in the flow” increases peoples’ focus and attention, the latter being a prerequisite for high creativity, on the tasks and problems at hand and boosts their commitment to deliver their projects on time. Following the above-mentioned reasoning, I assume that if leaders manage organizational resources to create an optimal balance between challenging situations and the skills of their creative people, these managerial practices would likely result in enhancing the output of the NPD process, and decreasing the delays, or, in other words, accelerating the NPD cycle. To explore this research question, first, I developed a conceptual model called CLIC: “Creative-Learning Innovation Cycle”. The CLIC is characterized by its uniqueness in highlighting the impact of the feedback received from the commercialization process on the managerial practices of leadership for creativity of the components of the work environment. The work environment directly affects the state of flow of creative people, and, subsequently, both the quality and speed of their learning and creativity processes. The CLIC combines Sanchez’s model of an organization’s learning process, Amabile’s componential theory of creativity, and, Csikszentmihalyi and Bakker’s State of Flow concept. Second, I tested the CLIC through two main research methods. I conducted exploratory and action research with a successful global innovation manager and two companies wrestling to accelerate their NPD processes in a changing work environment. The two companies deal with components and technological innovations. They differ in size, continent and products. Both companies innovate products related to health issues in an industry where high regulatory requirements are imposed. I also conducted a lab experiment in which 27 Masters students (18 males, 9 females) who were enrolled in an “Innovation Management” course voluntarily participated. The mean age was 23.5 years. The academic language was English. The exploration of the CLIC model in the course of conducting the comparative studies among the successful global innovation manager, the two companies, and the results of the lab experiment led to the emergence of a new theory about flow in work situations and organizational resources management. The theory defines and prioritizes five organizational resources that have to be managed during the NPD stages to let creative people experience a “state of flow” during their work. The foundation of the theory is that, following the impacts of feedback received from the external world, leaders’ managerial practices of organizational resources affect the state of flow of the people involved in the NPD process in an inverted U shape. Based on this inverted U shape and, as per the CLIC model, this theory prioritized the following five organizational resources to manage flow during the NPD stages: v A. Planning stage 1. Involving creative people in early market feedback during the planning stage would enhance their work absorption and their attention on the problems they are facing. B. Development stage 2. Putting creative people in direct communication with all the people who interact with the product and bring meaning to it, 3. Extending on a rational basis the time lines proposed by creative people, 4. And integrating the customer in the NPD process, mainly during testing phases, are likely to positively influence the intrinsic motivation of the creative people during the development stage. Hence, creative people would be committed to reach their goals by deploying their expertise to its utmost level without counting their working hours. C. Commercialization stage 5. Allow creative people to directly solicit and experience feedback from the VOC during the commercialization stage. This could constitute an enriching and joyful experience for them. In sum, the prioritization of these organizational resources during the NPD stages might constitute a beneficial roadmap to the managerial practices that should be used by leaders. The application of this theory by the leaders would regulate the balance between a challenging situation and the skills of the creative people, so the latter might be in the “state of flow”. Probable effects may be a boosted and an accelerated outcome of the NPD process, leading the organization to thrive in this seldom static world. Some leaders knew WHAT to do and HOW to enhance the creativity of their collaborators. However the understanding of the WHY that drives these managerial practices needed additional elucidation. This research project attempted to provide a potential answer to “WHY” leaders’ practices might enhance or hinder their collaborators’ state of flow; and, in finding the answer, it was thought that leaders and their collaborators may simultaneously enjoy work and savor life.

EPFL2012

Mining Conversational Social Video

Joan Isaac Biel Tres

The ubiquity of social media in our daily life, the intense user participation, and the explosion of multimedia content have generated an extraordinary interest from computer and social scientists to investigate the traces left by users to understand human behavior online. From this perspective, YouTube can be seen as the largest collection of audiovisual human behavioral data, among which conversational video blogs (vlogs) are one of the basic formats. Conversational vlogs have evolved from the initial "chat from your bedroom" format to a rich form of expression and communication that is expanding to innovative applications where a more natural and engaging way of reaching audiences is either necessary or might be beneficial. This video genre, available online in huge quantities, is a unique scenario for the study and characterization of complex human behavior in social media, that contrarily to social networks, text blogs, and microblogs, has remained unexplored so far. The automatic behavioral understanding of conversational vlogs is a new domain for multimedia research. In short, the goal of our research is the understanding of the processes involved in this social media type, based not only on the verbal channel – what is said – but also on the nonverbal channel – how it is said. The nonverbal channel includes prosody, gaze, facial expression, posture, gesture, etc. and has been studied in depth in the field of nonverbal communication. While the study of vlogging contributes to user behavior research in social media, it also adds to a larger research agenda in social computing by analyzing behavioral data at scales not previously achievable in other scenarios. These type of analysis pose important challenges regarding the development and integration of methods for robust and tractable audiovisual processing. In this thesis, we address the problem of mining user behavior inside conversational videos by addressing three main aspects. First, we integrate state-of-the art audio processing and computer vision techniques to analyze conversational social video. While the initial focus of the thesis is the nonverbal aspect of vlogger behavior, we also investigate the verbal content. Second, we study some of the interpersonal and social processes that link vlogger behavior and vlog consumption in social media platforms such as YouTube. In this context, we examine the phenomenon of social attention in vlogs, and we investigate the use of crowdsourcing as a scalable method to annotate large multimodal corpora with interpersonal perception impressions. Finally, we propose a computational framework to predict interpersonal impressions automatically using multimedia analysis, crowdsourced impressions, and machine learning techniques. We anticipate that the work presented in this dissertation will motivate future work in social and behavioral sciences, media analysis, natural language processing, and affective and social computing applied to the large-scale analysis of human interaction in social video.

EPFL2013

Mining Conversational Social Video

Joan Isaac Biel Tres

The ubiquity of social media in our daily life, the intense user participation, and the explo- sion of multimedia content have generated an extraordinary interest from computer and social scientists to investigate the traces left by users to understand human behavior online. From this perspective, YouTube can be seen as the largest collection of audiovisual human behavioral data, among which conversational video blogs (vlogs) are one of the basic formats. Conversational vlogs have evolved from the initial "chat from your bedroom" format to a rich form of expression and communication that is expanding to innovative applications where a more natural and engaging way of reaching audiences is either necessary or might be beneficial. This video genre, available online in huge quantities, is a unique scenario for the study and characterization of complex human behavior in social media, that contrarily to social networks, text blogs, and microblogs, has remained unexplored so far. The automatic behavioral understanding of conversational vlogs is a new domain for multimedia research. In short, the goal of our research is the understanding of the processes involved in this social media type, based not only on the verbal channel – what is said – but also on the nonverbal channel – how it is said. The nonverbal channel includes prosody, gaze, facial expression, posture, gesture, etc. and has been studied in depth in the field of nonverbal communication. While the study of vlogging contributes to user behavior research in social media, it also adds to a larger research agenda in social computing by analyzing behavioral data at scales not previously achievable in other scenarios. These type of analysis pose important challenges regarding the development and integration of methods for robust and tractable audiovisual processing. In this thesis, we address the problem of mining user behavior inside conversational videos by addressing three main aspects. First, we integrate state-of-the art audio processing and computer vision techniques to analyze conversational social video. While the initial focus of the thesis is the nonverbal aspect of vlogger behavior, we also investigate the verbal content. Second, we study some of the interpersonal and social processes that link vlogger behavior and vlog consumption in social media platforms such as YouTube. In this context, we examine the phenomenon of social attention in vlogs, and we investigate the use of crowdsourcing as a scalable method to annotate large multimodal corpora with interpersonal perception impres- sions. Finally, we propose a computational framework to predict interpersonal impressions automatically using multimedia analysis, crowdsourced impressions, and machine learning techniques. We anticipate that the work presented in this dissertation will motivate future work in social and behavioral sciences, media analysis, natural language processing, and affective and social computing applied to the large-scale analysis of human interaction in social video.

EPFL2013

Mining Conversational Social Video

Joan Isaac Biel Tres

EPFL2013

Creative-Learning Innovation Cycle - CLIC

Vincent Nassar

EPFL2012

Mining Conversational Social Video

Joan Isaac Biel Tres

EPFL2013