Promoting mutual adaptation in haptic negotiation using adaptive virtual fixture

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hua Zhou ◽  
Dong Wei ◽  
Yinglong Chen ◽  
Fa Wu
Keyword(s):  
Incomplete Information ◽  
Human Robot Interaction ◽  
Robot System ◽  
Negotiation Strategy ◽  
Content Type ◽  
Negotiation Strategies ◽  
Virtual Fixtures ◽  
Mutual Adaptation ◽  
Impedance Parameters ◽  
Negotiation Mechanism

Purpose To promote the intuitiveness of collaborative tasks, the negotiation ability of humans with each other has inspired a large amount of studies aimed at reproducing the capacity in physical human-robot interaction (pHRI). This paper aims to promote mutual adaptation in negotiation when both parties possess incomplete information. Design/methodology/approach This paper introduces virtual fixtures into the traditional negotiation mechanism, locally regulating tracking trajectory and impedance parameters in the negotiating phase until the final plan integrates bilateral intentions well. In the strategy, robots convey its task information to humans and offer groups of guide plans for them to choose, on the premise of maximizing the robot’s own profits. Findings Compared with traditional negotiation strategies, humans adapt to robots easily and show lower cognitive load in the method, while the satisfied plan shows better performance for the whole human-robot system. Originality/value In this study, this paper proposes a novel negotiation strategy to facilitate the mutual adaptation of humans and robots in complicated shared tasks, especially when both parties possess incomplete information of tasks.

scholarly journals Of ostriches, frogs, birds and lizards

2019 ◽  
Vol 7 (3) ◽  
pp. 239-254 ◽  
Author(s):  
Chenchen Li ◽  
Ling Eleanor Zhang ◽  
Anne-Wil Harzing
Keyword(s):  
Cross Cultural Psychology ◽  
Cultural Identity ◽  
Cultural Psychology ◽  
Identity Negotiation ◽  
Cross Cultural ◽  
Negotiation Strategy ◽  
Content Type ◽  
Negatively Associated ◽  
Host Culture ◽  
Negotiation Strategies

Purpose In response to the somewhat paradoxical combination of increasing diversity in the global workforce and the resurgence of nationalism in an era of global mobility, the purpose of this paper is to uncover how employees on international assignments respond to exposure to new cultures. Specifically, the paper aims to explicate the underlying psychological mechanisms linking expatriates’ monocultural, multicultural, global and cosmopolitan identity negotiation strategies with their responses toward the host culture by drawing upon exclusionary and integrative reactions theory in cross-cultural psychology. Design/methodology/approach This conceptual paper draws on the perspective of exclusionary vs integrative reactions toward foreign cultures – a perspective rooted in cross-cultural psychology research – to categorize expatriates’ responses toward the host culture. More specifically, the study elaborates how two primary activators of expatriates’ responses toward the host culture – the salience of home-culture identity and a cultural learning mindset – explain the relationship between cultural identity negotiation strategies and expatriates’ exclusionary and integrative responses, providing specific propositions on how each type of cultural identity negotiation strategy is expected to be associated with expatriates’ exclusionary and integrative responses toward the host culture. Findings The present study proposes that expatriates’ adoption of a monocultural identity negotiation strategy is positively associated with exclusionary responses toward the host culture and it is negatively associated with integrative responses toward the host culture; expatriates’ adoption of a multicultural identity negotiation strategy is positively associated with both exclusionary responses and integrative responses toward the host culture; expatriates’ adoption of a global identity negotiation strategy is negatively associated with exclusionary responses toward the host culture; and expatriates’ adoption of a cosmopolitan identity negotiation strategy is negatively associated with exclusionary responses, and positively associated with integrative responses toward the host culture. The following metaphors for these different types of cultural identity negotiation strategies are introduced: “ostrich” (monocultural strategy), “frog” (multicultural strategy), “bird” (global strategy) and “lizard” (cosmopolitan strategy). Originality/value The proposed dynamic framework of cultural identity negotiation strategies illustrates the sophisticated nature of expatriates’ responses to new cultures. This paper also emphasizes that cross-cultural training tempering expatriates’ exclusionary reactions and encouraging integrative reactions is crucial for more effective expatriation in a multicultural work environment.

scholarly journals Reinforcement learning for human-robot shared control

2019 ◽  
Vol 40 (1) ◽  
pp. 105-117
Author(s):  
Yanan Li ◽  
Keng Peng Tee ◽  
Rui Yan ◽  
Shuzhi Sam Ge
Keyword(s):  
Reinforcement Learning ◽  
Closed Loop ◽  
Human Robot Interaction ◽  
Shared Control ◽  
Closed Loop System ◽  
Robot System ◽  
Robot Interaction ◽  
Learning Capability ◽  
Content Type ◽  
Control Objective

Purpose This paper aims to propose a general framework of shared control for human–robot interaction. Design/methodology/approach Human dynamics are considered in analysis of the coupled human–robot system. Motion intentions of both human and robot are taken into account in the control objective of the robot. Reinforcement learning is developed to achieve the control objective subject to unknown dynamics of human and robot. The closed-loop system performance is discussed through a rigorous proof. Findings Simulations are conducted to demonstrate the learning capability of the proposed method and its feasibility in handling various situations. Originality/value Compared to existing works, the proposed framework combines motion intentions of both human and robot in a human–robot shared control system, without the requirement of the knowledge of human’s and robot’s dynamics.

A comparative assessment of win-win and win-lose negotiation strategy use on supply chain relational outcomes

2018 ◽  
Vol 29 (1) ◽  
pp. 191-215 ◽  
Author(s):  
Stephanie Thomas ◽  
Jacqueline Eastman ◽  
C. David Shepherd ◽  
Luther Trey Denton
Keyword(s):  
Supply Chain ◽  
Social Exchange ◽  
Negative Impact ◽  
Behavioral Experiment ◽  
Negotiation Strategy ◽  
Supplier Relationships ◽  
Content Type ◽  
Negotiation Strategies ◽  
Relational Outcomes

Purpose The purpose of this paper is to study the relational impact of using win-win or win-lose negotiation strategies within different types of buyer-supplier relationships. Design/methodology/approach A multi-method approach is used. Qualitative interviews with supply chain managers reveal that relationship-specific assets and cooperation are important relational factors in buyer-supplier negotiations. Framing interview insights within the social exchange theory (SET), hypotheses are tested using a scenario-based behavioral experiment. Findings Experimental results suggest that win-lose negotiators decrease their negotiating partner’s commitment of relationship-specific assets and levels of cooperation. In addition, the use of a win-lose negotiation strategy reduces levels of relationship-specific assets and cooperation more in highly interdependent buyer-supplier relationships than relationships that are not as close. Research limitations/implications Buyer-supplier relationships are complex interactions. Negotiation strategy choice decisions can have long-term effects on the overall relationship. As demonstrated in this study, previous research focusing on one side “winning” a negotiation as a measure of success has oversimplified this complex phenomenon. Practical implications The use of a win-lose negotiation strategy can have a negative impact on relational outcomes like cooperation and relationship-specific assets. For companies interested in developing strong supply chain relationships, buyer and suppliers should choose their negotiation strategy carefully as the relational impact extends beyond the single negotiation encounter. Originality/value Previous research predominantly advocates for the use of a win-win negotiation strategy within interdependent relationships. This research offers evidence that the use of a win-lose strategy does have a long-term relational impact.

Goal orientation and negotiation strategies: an empirical analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abena Emily Ayowa Asante-Asamani ◽  
Mohammad Elahee ◽  
Jason MacDonald
Keyword(s):  
Goal Orientation ◽  
Structural Equation ◽  
Negative Relationship ◽  
Goal Orientations ◽  
Equation Modeling ◽  
Performance Goal ◽  
Negotiation Strategy ◽  
Cross Sectional ◽  
Content Type ◽  
Negotiation Strategies

Purpose This study aims to examine how negotiators’ goal orientations may affect their negotiation strategy and consequently the negotiation outcomes. Design/methodology/approach Using cross-sectional data collected from a Fortune 500 Global firm based in France, this study empirically examines how goal orientations of negotiators may affect their value creation (win-win) and value-claiming (win-lose) negotiation behavior reflecting their desired outcome in a given sales negotiation. In so doing, this study proposes a conceptual model and tests a number of hypotheses using partial least squares structural equation modeling. Findings This study shows that learning and performance goal orientations (PGO) are indeed related with two commonly used negotiation strategies: win-win (integrative) and win-lose strategies (distributive) strategies, respectively. The results indicate that while the learning orientation has a positive relationship with a win-win strategy and a negative relationship with a win-lose negotiation strategy, just the opposite is true with the PGO, which is positively related to win-lose strategy and negatively related to win-win strategy. Originality/value To the best of the authors’ knowledge, this research represents one of the first attempts to connect goal orientations with negotiations strategies to achieve desired negotiation outcome using data from salespeople with negotiation experience.

scholarly journals A Faithful Mechanism for Incremental Multi-Agent Agreement Problems with Self-Interested and Privacy-Preserving Agents

2021 ◽  
Vol 2 (4) ◽  
Author(s):  
Farzaneh Farhadi ◽  
Nicholas R. Jennings
Keyword(s):  
Information Leakage ◽  
Optimal Strategies ◽  
Privacy Preserving ◽  
Limited Attention ◽  
Limited Information ◽  
Multi Agent Systems ◽  
Negotiation Strategies ◽  
Multi Agent ◽  
Theoretical And Numerical Analysis ◽  
Negotiation Mechanism

AbstractDistributed multi-agent agreement problems (MAPs) are central to many multi-agent systems. However, to date, the issues associated with encounters between self-interested and privacy-preserving agents have received limited attention. Given this, we develop the first distributed negotiation mechanism that enables self-interested agents to reach a socially desirable agreement with limited information leakage. The agents’ optimal negotiation strategies in this mechanism are investigated. Specifically, we propose a reinforcement learning-based approach to train agents to learn their optimal strategies in the proposed mechanism. Also, a heuristic algorithm is designed to find close-to-optimal negotiation strategies with reduced computational costs. We demonstrate the effectiveness and strength of our proposed mechanism through both game theoretical and numerical analysis. We prove theoretically that the proposed mechanism is budget balanced and motivates the agents to participate and follow the rules faithfully. The experimental results confirm that the proposed mechanism significantly outperforms the current state of the art, by increasing the social-welfare and decreasing the privacy leakage.

AI and libraries: trends and projections

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Adetoun A. Oyelude
Keyword(s):  
Language Processing ◽  
Service Provision ◽  
Design Methodology ◽  
Human Robot Interaction ◽  
Human Intelligence ◽  
Library Service ◽  
Robot Interaction ◽  
Content Type ◽  
New Horizons ◽  
Advanced Technologies

Purpose This paper aims to focus on the trends and projection for future use of artificial intelligence (AI) in libraries. AI technologies is the latest among the technologies being used in libraries. The technology has systems that have natural language processing, machine learning and pattern recognition capabilities that make service provision easier for libraries. Design/methodology/approach Systematic literature review is done, exploring blogs and wikis, to collect information on the ways in which AI is used and can be futuristically used in libraries. Findings This paper found that uses of AI in libraries entailed enhanced services such as content indexing, document matching, content mapping content summarization and many others. AI possibilities were also found to include improving the technology of gripping, localizing and human–robot interaction and also having artificial superintelligence, the hypothetical AI that surpasses human intelligence and abilities. Originality/value It is concluded that advanced technologies that AI are, will help librarians to open up new horizons and solve challenges that crop up in library service delivery.

User experience research on social robot application

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wei-Feng Tung ◽  
Jaileez Jara Santiago Campos
Keyword(s):  
User Experience ◽  
System Development ◽  
Social Robot ◽  
Human Robot Interaction ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Fast Detection ◽  
Eeg Data ◽  
The Social ◽  
Intelligent Process

PurposeSocial robot, a subtype of robots that is designed for the various interactive services for human, which must deliver superior user experience (UX) by expressing human-like social behavior or service and emotional sensitivity. This study develops a social robot app called the “Music Buddy” in ASUS Zenbo that provides a situational music based on the users' electroencephalogram (EEG) data. The research uses this app to explore its UX criteria and the prioritization of human robot interaction (HRI).Design/methodology/approachThe research methodologies include the both system development and decision analysis for the social robot. The first part is to design and develop a social robot app. The second part is to investigate the criteria of HRI through the Analytic Hierarchy Process (AHP) from UX aspects.FindingsIn view of the results of the AHP, the first-layer criteria consist of personalized function, easy-to-use the system and intelligent process. In terms of prioritization of multi-criteria, the overall ranking discloses the nine criteria in order including autonomy for robot, easy-to-use EEG device, accurate music preference, simple operations for brainwave device and easy-to-use applications, active music recommendation, automatic updates of music and easy-to-use robot as well as fast detection for emotion.Originality/valueThis research includes a self-developed social robot app and its UX research using AHP. This paper contributes to the improvement and innovation of the social robot design according to the results of UX research on HRI of social robot.

Development of master-slave magnetic anchoring vision robotic system for single-port laparoscopy (SPL) surgery

2018 ◽  
Vol 45 (4) ◽  
pp. 458-468
Author(s):  
Haibo Feng ◽  
Yanwu Zhai ◽  
Yili Fu
Keyword(s):  
Single Port ◽  
Robotic System ◽  
Surgical Robot ◽  
Distribution Analysis ◽  
Robot System ◽  
Content Type ◽  
Blind Area ◽  
Robot Systems ◽  
Single Port Laparoscopy ◽  
And Performance

Purpose Surgical robot systems have been used in single-port laparoscopy (SPL) surgery to improve patient outcomes. This study aims to develop a vision robot system for SPL surgery to effectively improve the visualization of surgical robot systems for relatively complex surgical procedures. Design/methodology/approach In this paper, a new master-slave magnetic anchoring vision robotic system for SPL surgery was proposed. A lighting distribution analysis for the imaging unit of the vision robot was carried out to guarantee illumination uniformity in the workspace during SPL surgery. Moreover, cleaning force for the lens of the camera was measured to assess safety for an abdominal wall, and performance assessment of the system was performed. Findings Extensive experimental results for illumination, control, cleaning force and functionality test have indicated that the proposed system has an excellent performance in providing the visual feedback. Originality/value The main contribution of this paper lies in the development of a magnetic anchoring vision robot system that successfully improves the ability of cleaning the lens and avoiding the blind area in a field of view.

Selective crowdsourcing with various type task: models and analysis

2018 ◽  
Vol 13 (4) ◽  
pp. 815-839 ◽  
Author(s):  
Qinglong Gou ◽  
Fangdi Deng ◽  
Yanyan He
Keyword(s):  
Incomplete Information ◽  
Private Information ◽  
Marginal Cost ◽  
Design Methodology ◽  
Learning Effect ◽  
Task Type ◽  
Expected Payoff ◽  
Content Type ◽  
The Past ◽  
Winner Takes All

Purpose Selective crowdsourcing is an important type of crowdsourcing which has been popularly used in practice. However, because selective crowdsourcing uses a winner-takes-all mechanism, implying that the efforts of most participants except the final winner will be just in vain. The purpose of this paper is to explore why this costly mechanism can become a popularity during the past decade and which type of tasks can fit this mechanism well. Design/methodology/approach The authors propose a game model between a sponsor and N participants. The sponsor is to determine its reward and the participants are to optimize their effort-spending strategy. In this model, each participant's ability is the private information, and thus, all roles in the system face incomplete information. Findings The results of this paper demonstrate the following: whether the sponsor can obtain a positive expected payoff are determined by the type of tasks, while the complex tasks with a strong learning effect is more suitable to selective crowdsourcing, as for the other two types of task, the sponsor cannot obtain a positive payoff, or can just gain a rather low payoff; besides the task type, the sponsor's efficiency in using the solutions and the public's marginal cost also influence the result that whether the sponsor can obtain a positive surplus from the winner-takes-all mechanism. Originality/value The model presented in this paper is innovative by containing the following characteristics. First, each participant's ability is private information, and thus, all roles in the system face incomplete information. Second, the winner-takes-all mechanism is used, implying that the sponsor's reward will be entirely given to the participant with the highest quality solution. Third, the sponsor's utility from the solutions, as well as the public's cost to complete the task, are both assumed as functions just satisfying general properties.

scholarly journals Multi-criteria assessment tools for achieving balance between negotiating powers under distorted conditions of competition in construction sector’s market

2021 ◽  
Vol 129 ◽  
pp. 12003
Author(s):  
Kęstutis Peleckis
Keyword(s):  
Market Power ◽  
Market Competition ◽  
Value Added ◽  
Assessment Tools ◽  
Key Factors ◽  
Negotiation Strategy ◽  
Business Negotiation ◽  
Negotiation Strategies ◽  
Business Negotiations ◽  
Business Entities

Research background: this study identified which factors influence other factors and how they have a greater impact on the value of a business entity’s HHI index. By knowing the key factors, they can be used to model possible mergers and their impact on the HHI index and possible changes in the market power balance. Purpose of the article: to present the concept of business negotiation system, enabling to model and effectively manage the process of development and implementation of negotiation strategies, assessing the negotiating power of negotiating parties and selecting multi-criteria assessment tools to balance them in the conditions of distorted construction sector market competition. Methods: multi-criteria assessment is used to assess the market power of business entities in business negotiations in order to select effective strategic solutions for construction sector’s business negotiations. Findings & Value added: a developed algorithm for the development of construction sector’s business negotiation strategy based on evaluations of bargaining power is presented.

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