Studying the Effects of Stress on Negotiation Behavior

Abstract

Negotiation is a collaborative activity that requires the participation of different parties whose behaviours influence the outcome of the whole process. The work presented here focuses on the identification of such behaviours and their impact on the negotiation process. The premise for this study is that identifying and cataloguing the behaviour of parties during a negotiation may help to clarify the role stress plays in the process. To do so, an experiment based on a negotiation game was implemented. During this experiment, behavioural and contextual information about participants was acquired. The data from this negotiation game was analysed in order to identify the conflict styles used by each party and to extract behavioural patterns from the interactions, useful for the development of plans and suggestions for the associated participants. In sooth, the work highlights the importance of the knowledge about social interactions as a basis for informed decision support in situations of conflict.

Advances and trends for the development of ambient‐assisted living platforms

“…The CLA joins the strongest features of both referred projects and includes intelligent social computing (Sheth et al, 2013;Wang et al, 2007) and the human behaviour emulation (Gomes et al, 2014;Pimenta et al, 2015;Carneiro et al, 2013). The CLA joins the strongest features of both referred projects and includes intelligent social computing (Sheth et al, 2013;Wang et al, 2007) and the human behaviour emulation (Gomes et al, 2014;Pimenta et al, 2015;Carneiro et al, 2013).…”

“…The natural evolution to the iGenda and the UserAcess is the Cognitive Life Assistant (CLA) platform. The CLA joins the strongest features of both referred projects and includes intelligent social computing (Sheth et al, 2013;Wang et al, 2007) and the human behaviour emulation (Gomes et al, 2014;Pimenta et al, 2015;Carneiro et al, 2013).…”

Assessing Interpersonal Trust in an Ambient Intelligence Negotiation System

“…The multimodal evidence are integrated using a decision level strategy. Examples of decision level fusion methods employed in this work include weighted decision methods and machine-learning techniques and are detailed in previous work [8].…”

Behaviour Analysis in Smart Spaces

“…It will be possible, making use of technologies and emerging wearable devices available on the market (e.g. smartwatches, smartphones, fitness trackers) [11], to focus the data collection process on the user, always taking into account that it will be a non-invasive process. This will significantly leverage/enrich the decision-making process and overtake the physical limits so far imposed by the need of sensors statically placed in a space [15] [16].…”

“…It is also referred the need and the challenge of establishing a new effective paradigm for ambient intelligence, where the focus becomes the user and the ability to manage the complexity and richness of everyday human life [6] [9]. A recurring challenge in this field is the management of conflicts of interest among the several users of the space [11] [12], that in this work will be addressed through the use of multi-agent systems, as well as the real-time data acquisition of the user information (e.g. body temperature, pulse) [13] [14].…”