Conference
Agent-Directed Simulation
About: Agent-Directed Simulation is an academic conference. The conference publishes majorly in the area(s): Computer science & Decision support system. Over the lifetime, 262 publications have been published by the conference receiving 3631 citations.
Papers published on a yearly basis
Papers
14 Jun 2004
TL;DR: A procedure to train computers to recognise emotions using multiple signals from many different bio-sensors is described and a set of preliminary results indicate that the neural net classifier is able to obtain accuracy rates of 96.6% and 89.9% for recognition of emotion arousal and valence respectively.
Abstract: The detection of emotion is becoming an increasingly important field for human-computer interaction as the advantages emotion recognition offer become more apparent and realisable Emotion recognition can be achieved by a number of methods, one of which is through the use of bio-sensors Bio-sensors possess a number of advantages against other emotion recognition methods as they can be made both inobtrusive and robust against a number of environmental conditions which other forms of emotion recognition have difficulty to overcome In this paper, we describe a procedure to train computers to recognise emotions using multiple signals from many different bio-sensors In particular, we describe the procedure we adopted to elicit emotions and to train our system to recognise them We also present a set of preliminary results which indicate that our neural net classifier is able to obtain accuracy rates of 966% and 899% for recognition of emotion arousal and valence respectively
554 citations
16 Mar 2014
TL;DR: Results revealed that primary obstacles that the firms in Turkey face were lack of employee involvement, awareness and commitment of the employees, inappropriate firm structure, and lack of the resources.
Abstract: Previous studies reported mixed and ambiguous results of the relationship between TQM practices and performances. This study investigated impacts of TQM practices on various performance measures as well as the reasons and the barriers of the TQM practices of firms in Turkey. We used a cross-sectional survey methodology in this study, and the unit of the sample was at the plant level. The sample was selected from the member firms to Turkish Quality Association and the firms located in the Kocaeli-Gebze Organized Industrial Zone. We obtained 242 usable questionnaires, with a satisfactory response rate of 48.4 percent. We conducted exploratory factor analysis and multiple regression analysis. This study has shown that different TQM practices significantly affect different performance outcomes. Results revealed that primary obstacles that the firms in Turkey face were lack of employee involvement, awareness and commitment of the employees, inappropriate firm structure, and lack of the resources. It is recommended that firms should continue implement TQM with all variables to improve performance. Firms should improve employees’ involvement/commitment/awareness to TQM, enhance firm structure, and provide resources to overcome the barriers that prevent effective implementation of TQM practices.
342 citations
30 Dec 2012
TL;DR: This paper provides a survey of state-of-the-art weight elicitation methods in a prescriptive setting and suggests several techniques for deriving criteria weights from preference statements.
Abstract: Comparatively few of the vast amounts of decision analytical methods suggested have been widely spread in actual practice. Some approaches have nevertheless been more successful in this respect than others. Quantitative decision making has moved from the study of decision theory founded on a single criterion towards decision support for more realistic decision-making situations with multiple, often conflicting, criteria. Furthermore, the identified gap between normative and descriptive theories seems to suggest a shift to more prescriptive approaches. However, when decision analysis applications are used to aid prescriptive decision-making processes, additional demands are put on these applications to adapt to the users and the context. In particular, the issue of weight elicitation is crucial. There are several techniques for deriving criteria weights from preference statements. This is a cognitively demanding task, subject to different biases, and the elicited values can be heavily dependent on the method of assessment. There have been a number of methods suggested for assessing criteria weights, but these methods have properties which impact their applicability in practice. This paper provides a survey of state-of-the-art weight elicitation methods in a prescriptive setting.
197 citations
14 Jun 2004
TL;DR: An implemented system for the simulation and visualisation of the emotional state of a multimodal conversational agent called Max, whose facial expression, gesture, speech, and secondary behaviors as well as his cognitive functions are modulated by the emotional system that is affected by information arising at various levels within the agent’s architecture.
Abstract: We describe an implemented system for the simulation and visualisation of the emotional state of a multimodal conversational agent called Max. The focus of the presented work lies on modeling a coherent course of emotions over time. The basic idea of the underlying emotion system is the linkage of two interrelated psychological concepts: an emotion axis – representing short-time system states – and an orthogonal mood axis that stands for an undirected, longer lasting system state. A third axis was added to realize a dimension of boredom. To enhance the believability and lifelikeness of Max, the emotion system has been integrated in the agent’s architecture. In result, Max’s facial expression, gesture, speech, and secondary behaviors as well as his cognitive functions are modulated by the emotional system that, in turn, is affected by information arising at various levels within the agent’s architecture.
151 citations
14 Jun 2004
TL;DR: This work proposes a hierarchical selection process for politeness behaviors in order to enable the refinement of decisions in case additional context information becomes available.
Abstract: While most dialogue systems restrict themselves to the adjustment of the propositional contents, our work concentrates on the generation of stylistic va- riations in order to improve the user's perception of the interaction. To accomplish this goal, our approach integrates a social theory of politeness with a cognitive theory of emotions. We propose a hierarchical selection process for politeness behaviors in order to enable the refinement of decisions in case additional context information becomes available.
112 citations
Performance Metrics
| Year | Papers |
|---|---|
| 2018 | 2 |
| 2017 | 12 |
| 2016 | 16 |
| 2015 | 18 |
| 2014 | 30 |
| 2013 | 22 |