Personality, Emotion, and Mood in Agent-Based Group Decision Making

Santos, Ricardo; Marreiros, Goreti; Ramos, Carlos; Neves, José; Bulas‐Cruz, José

doi:10.1109/mis.2011.92

Cited by 52 publications

(36 citation statements)

References 9 publications

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“…For instance, a context-aware model of emotions that can be used to design intelligent agents endowed with emotional capabilities is described in [90]. The study is complemented by also modeling personalities and mood [130].…”

Section: Modeling the User Emotional Statementioning

confidence: 99%

Modeling the user state for context-aware spoken interaction in ambient assisted living

2014

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Ambient Assisted Living (AAL) systems must provide adapted services easily accessible by a wide variety of users. This can only be possible if the communication between the user and the system is carried out through an interface that is simple, rapid, effective, and robust. Natural language interfaces such as dialog systems fulfil these requisites, as they are based on a spoken conversation that resembles human communication. In this paper, we enhance systems interacting in AAL domains by means of incorporating context-aware conversational agents that consider the external context of the interaction and predict the user's state. The user's state is built on the basis of their emotional state and intention, and it is recognized by means of a module conceived as an intermediate phase between natural language understanding and dialog management in the architecture of the conversational agent. This prediction, carried out for each user turn in the dialog, makes it possible to adapt the system dynamically to the user's needs. We have evaluated our proposal developing a context-aware system adapted to patients suffering from chronic pulmonary diseases, and provide a detailed discussion of the positive influenc of our proposal in the success of the interaction, the information and services provided, as well as the perceived quality.

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Section: Modeling the User Emotional Statementioning

confidence: 99%

Modeling the user state for context-aware spoken interaction in ambient assisted living

2014

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“…They are considered to be low-intensity long-lasting affective states, whereas emotions are considered high intensity, situation specific and brief. The psychology literature is replete with examples of how emotions and moods affect decision making, but personality's role is also essential because of the differences in cognition helping to explain why different people reach different decisions while experiencing the same emotions (Santos et al, 2011).…”

Section: Theory Of Moodsmentioning

confidence: 99%

The Development of Expert Mood Identifier System Using Fuzzy Logic on Blackberry Platform

George¹

2013

Journal of Computer Science

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In our daily life, deciding what caused the bad mood is not easy. This study will design an Expert Mood Identifier System for mobile application. We propose a model that uses 6 variables as the inputs, they are intensity of Sleep (SL), intensity of Eat (ET), hours of using Phone (PH), Spare Time (ST), intensity of Sensitive (SN), intensity of Confidence (CF). These inputs, using Sugeno fuzzy logic, are then fuzzificated to linguistic variables, so that they able to evaluated with the if-then rules. Result of the evaluation will show the highest possibility causes either in Love (LV) or density schedule. It will be defuzzificated to a crisp number showing the percentage of what causes it. The experiment results are presented and show the Mood Identifier system is running well on BlackBerry platform and can be used successfully to identify the causes of bad mood with a solution for each case.

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“…Personality is considered to represent the long-lasting individual characteristics that influence motivations and behaviors when facing a given circumstance [Howard & Howard, 1995;John & Srivastava, 1999;Santos et al, 2009]. Researchers of the different perspectives of personality have focused on both describing the personality dynamics within an individual and determining its structure (i.e., the individual's traits that differentiate him or her from the rest).…”

Section: Interindividual Differencesmentioning

confidence: 99%

“…Finally the affect's temporal dynamic process, is in charge of controlling the duration and decay of the affective state. As shown in Table 3.1, it can also use the traits of the agent's personality as an input (see, for example, computational approaches like [Santos et al, 2011]). Certainly there is a need of a balance between the temporal dynamic and the structural dynamic of the affective state in GenIA 3 , so each specialized version of GenIA 3 should pay attention and take care of this issue.…”

Section: Representation For Affective Processesmentioning

confidence: 99%

Agents with Affective Traits for Decision-Making in Complex Environments

Espinosa¹

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AcknowledgmentsEs casi imposible realizar un proyecto a largo plazo sin apoyo alguno y terminar ileso. Éste no está exento. Muchas palabras de aliento y mucho apoyo en todos los sentidos han estado detrás de este trabajo.Quiero destacar, ante todo, el apoyo de mis directores Emilio y Vicente, quienes, además de ser unos profesionales e investigadores excelentes, también, y ante todo, son excelentes personas. A Vicente quiero agradecerle por brindarme la oportunidad de trabajar en la investigación como un miembro más del GTI, lo cual ha sido una experiencia única y muy enriquecedora para mi. A Emilio por su apoyo, comprensión e implicación en todos los sentidos en los momentos necesarios, y por estar siempre a mano de una reunión improvisada o de un Skype. También quiero agradecer a Ximo, con quien hemos conformado un gran equipo y de quien también he tenido ayuda y palabras de aliento en los momentos más críticos.I would also like to thank Stacy Marcella for allowing me to work with him and with Margot Lhommet on the CESAR lab at the Northeastern University.I am deeply grateful for the time they devoted to me and for their collaboration together with David Pynadath. It was a really enriching experience in every sense. On his research group I found, not only really good researchers, but also great human beings. Thanks to Stacy, Sophie, Yuyu, Dan, and Margot for their warm reception.El llevar a término este trabajo también se debe al buen ambiente de trabajo del que he tenido la suerte de disfrutar. Por ello me gustaría agradecer a todos los miembros de GTI. Al trabajar con ellos se tiene todo en un pack: compañerismo, amabilidad, talento y humanismo. Especialmente quisiera v agradecer a mis antiguos compañeros de laboratorio Mario, Ricard, Raúl y Juan Andrés, con quienes he tenido la suerte de compartir un ambiente de trabajo excelente y además una buena amistad. También agradecer a mis compañeros Elena, Stella, Joan, Juanmi, María, Jaime, Jaume, Javi, Mohanad, Ângelo y a todos los que en algún momento tuvieron unas palabras de aliento y apoyo para no desfacellecer antes de llegar al final del camino.Por ultimo, y por ello no menos importante, quisiera agradecer a mi familia y resto de amigos, que aunque algunos están en la distancia, siempre han sido mi fortaleza y mi fuente de inspiración. Especialmente a mi madre, quien consciente o inconscientemente, siempre ha sido un motor y un ejemplo de espíritu de lucha contra todo tipo de adversidad y contra todo pronóstico negativo. Gracias también a Mari Carmen, Paco, Águeda, Derik, quienes estuvieron ahí para echar una mano o dar ánimos cuando se necesitaba. Y gracias a David, quien también es autor indirecto de este trabajo por el ánimo y el apoyo que me ha dado y sin el cual el final de este camino hubiese sido más incierto. vi SummaryRecent events have probably lead us to wonder why people make decisions that seem to be irrational, and that go against any easily understandable logic. The fact that these decisions are emotionally driven often explains what, at firs...

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Personality, Emotion, and Mood in Agent-Based Group Decision Making

Cited by 52 publications

References 9 publications

Modeling the user state for context-aware spoken interaction in ambient assisted living

Modeling the user state for context-aware spoken interaction in ambient assisted living

The Development of Expert Mood Identifier System Using Fuzzy Logic on Blackberry Platform

Agents with Affective Traits for Decision-Making in Complex Environments

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