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Human-Machine Interaction and Agility in the Process of Developing Usable Software: A Client-User Oriented Synergy [chapter]

Benigni Gladys, Gervasi Osvaldo
2012 Human Machine Interaction - Getting Closer  
The future evolution of computer technologies will be driven by the concept of ubiquitous computing and natural languages and interfaces.  ...  www.intechopen.com Human-Machine Interaction and Agility in the Process of Developing Usable Software: A Client-User Oriented Synergy 39 Testing: during this phase, the team of developers has to select  ...  Introduction The human-machine interaction model, in its simplest meaning, describes the issues related to an individual who interacts with a machine in a given context.  ... 
doi:10.5772/26025 fatcat:3e7uqq5w3zaktm463hszmy2axe

Creating Rich Human-machine Interfaces with Rational Rhapsody and Qt for Industrial Multi-core Real-time Applications

Liher Granado, Oskar Berreteaga
2015 Procedia Manufacturing  
This creates to the development teams the big challenge of integrating those two worlds.  ...  This paper presents a reallife experience of the development of a system and software architecture for a real-time application with an advanced user interface.  ...  Acknowledgements We would like to acknowledge Giulio Santolifor its invaluable work on the Rhapsody Qt profile and his predisposition to share that work and all his knowledge about Rhapsody and Qt with  ... 
doi:10.1016/j.promfg.2015.07.233 fatcat:otn6cnd3ingtdeihnee2pbybye

Turk Talk: human-machine hybrid virtual scenarios for professional education

Michelle Cullen, Nishan Sharma, David Topps
2018 MedEdPublish  
Using artificial intelligence or natural language processing to accommodate such flexibility is expensive and hard to design.  ...  Turk Talk, a text-based chat, introduced as part of virtual scenarios, provides a practical, scalable, affordable means of providing natural language interpretation into scenario navigation.  ...  In particular, we note the poor return on investment associated with using certain kinds of advanced technologies, such as AI (Nirenburg et al., 2009) , to provide natural language processing in a scalable  ... 
doi:10.15694/mep.2018.0000266.1 fatcat:b65eo5ssmzaulghijh3xsnck3y

Cooperative Human-Machine Interaction in Industrial Environments

Liliana Antao, Rui Pinto, Joao Reis, Gil Goncalves, Fernando Lobo Pereira
2018 2018 13th APCA International Conference on Control and Soft Computing (CONTROLO)  
Thus, the main objective is to analyze the relationship between human operators and robots in an industrial environment, and therefore explore human-machine collaboration by correlating sensorial data  ...  as detect the subject's position and movement with a true positive rate of 70,7%.  ...  in the reality of today's industrial environments, by presenting the Human Machine Interaction (HMI) paradigm and its three main variations -safety, human-machine interfaces and Human-Machine Collaboration  ... 
doi:10.1109/controlo.2018.8514549 fatcat:wacckepng5hjxngmriqwknmqfe

A Multi-Industry Analysis of Human-Machine Systems The Connection to Truck Automation

Todd Pascoe, Shirley McGough, Janis Jansz
2022 Zenodo  
Within those categories, 23 research themes were found under the human-machine system domain.  ...  This research is a critical review of safety-related themes in human-machine systems across multiple industries.  ...  However, in a human-machine system, work instructions come with a caveat.  ... 
doi:10.5281/zenodo.6420932 fatcat:d43pxyxcyrfd7labuo4p6f3vpm

Evaluation of Head Gaze Loosely Synchronized With Real-Time Synthetic Speech for Social Robots

Vasant Srinivasan, Cindy L. Bethel, Robin R. Murphy
2014 IEEE Transactions on Human-Machine Systems  
IEEE Transactions on Human-Machine Systems, Accepted for Publication, Copyright [2014] by Vasant Srinivasan.  ...  IEEE Transactions on Human-Machine Systems, Accepted for Publication, Copyright [2014] by Vasant Srinivasan.  ...  with a robot exhibiting the NHG-S condition."  ... 
doi:10.1109/thms.2014.2342035 fatcat:u3owv47mdzggvaufd6cyh7nrm4

Explainable AI for Intelligence Augmentation in Multi-Domain Operations [article]

Alun Preece, Dave Braines, Federico Cerutti, Tien Pham
2019 arXiv   pre-print
enhanced asset interoperability; (3) we appraise the state-of-the-art in explainable AI in relation to the vignettes with a focus on human-machine collaboration to achieve more rapid and agile coalition  ...  decision-making where assets are distributed among multiple partners; (2) we present illustrative vignettes for AI and IA in MDO ISR, including human-machine teaming, dense urban terrain analysis, and  ...  Ultimately, we seek to develop techniques by which AI/ML agents can synergistically interact with humans via continuous learning from human-machine teaming activities.  ... 
arXiv:1910.07563v1 fatcat:vhchx7d5vrgrxf5z6cqu4ea4n4

Future challenges for software data collection and analysis

Barry Boehm
2009 Proceedings of the 5th International Conference on Predictor Models in Software Engineering - PROMISE '09  
HMI: Human-Machine Interface. HW: Hard ware. IOC: Initial Operational Capability. LRIP: Low-Rate Initial Production. NDI: Non-Development Item.  ...  Future Software Measurement Challenges • Always-on, never-fail systems -Need to balance agility and discipline Nature of FEDs and Anchor Point Milestones • Evidence provided by developer and validated  ... 
doi:10.1145/1540438.1540440 dblp:conf/promise/Boehm09 fatcat:whpd72k27nc2dhrjlwcg42rn5u

Conversational sensemaking

Alun Preece, Will Webberley, Dave Braines, Barbara D. Broome, Timothy P. Hanratty, David L. Hall, James Llinas
2015 Next-Generation Analyst III  
Recent advances in natural language question-answering systems and context-aware mobile apps create opportunities for improved sensemaking in a tactical setting.  ...  Apple's Siri or IBM's Watson which respond to users' natural language queries) or a push model (e.g. Google's Now which sends notifications to a user based on their context).  ...  natural language (NL) and controlled natural language (CNL) content.  ... 
doi:10.1117/12.2179909 fatcat:q5rd5xcmpzc5neq2ykf4s74jbu

Quick takes

Larry Goodson
2019 Strategy & Leadership  
Over half of operations executives anticipate that natural language processing will allow humanto-device and device-to-human understanding.  ...  Leadership must build agile, innovative workforces, which means hiring employees who fit the organization's culture.  ... 
doi:10.1108/sl-03-2019-165 fatcat:h2y6ptudfretpewa2xlv7x4cim

Conference Information

2009 2009 17th IEEE International Requirements Engineering Conference  
Dave West and Daryl Plummer relate RE to Agile methods and Cloud Computing, respectively.  ...  Finally, a posters and exhibits session gives an opportunity for more informal presentations and discussions with authors.  ...  The final twist in the tail will return to Clark's common ground theory to speculate on the convergence of human-human and human-machine communication.  ... 
doi:10.1109/re.2009.4 fatcat:qcki5zvidvgerlzmiqsmwtu7oi

1.2.2 A Risk-Driven Process Decision Table to Guide System Development Rigor

Barry Boehm, Jo Ann Lane, Supannika Koolmanojwong
2009 INCOSE International Symposium  
For each of the twelve special cases, the decision table provides top-level guidelines for tailoring the key activities of the ICM, along with suggested lengths between each internal system build and each  ...  with their particular process drivers.  ...  investment in a largely change-prescient architecture and user/developer/customer team building.  ... 
doi:10.1002/j.2334-5837.2009.tb00937.x fatcat:r2fble6jprga3jam7lbqjeyejm

A Collaboration Model for Community-Based Software Development with Social Machines

Dave Murray-Rust, Ognjen Scekic, Petros Papapanagiotou, Hong-Linh Truong, Dave Roberston, Schahram Dustdar
2015 EAI Endorsed Transactions on Collaborative Computing  
The techniques augment the existing Social Compute Unit (SCU) concept-a general framework for management of ad-hoc human worker teams-with versatile coordination protocols expressed in the Lightweight  ...  Today's crowdsourcing systems are predominantly used for processing independent tasks with simplistic coordination.  ...  of human/machine collaborative efforts.  ... 
doi:10.4108/eai.17-12-2015.150812 fatcat:3foa3otwizf2hga3addmufw344

A Collaboration Model for Community-Based Software Development with Social Machines

Dave Murray-Rust, Ognjen Scekic, Hong-Linh Truong, Dave Robertson, Schahram Dustdar
2014 Proceedings of the 10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing  
The techniques augment the existing Social Compute Unit (SCU) concept-a general framework for management of ad-hoc human worker teams-with versatile coordination protocols expressed in the Lightweight  ...  Today's crowdsourcing systems are predominantly used for processing independent tasks with simplistic coordination.  ...  of human/machine collaborative efforts.  ... 
doi:10.4108/icst.collaboratecom.2014.257245 dblp:conf/colcom/Murray-RustSTRD14 fatcat:kq77stvx4zhf7igvcfjfefvzky

Integration of Agile Ontology Mapping towards NLP Search in I-SOAS [article]

Zeeshan Ahmed, Ina Tacheva
2010 arXiv   pre-print
Language Technology (LT), contributing towards natural language processing, to take advantage in implementing a search engine capable of understanding the semantic out of natural language based search  ...  In this research paper we address the importance of Product Data Management (PDM) with respect to its contributions in industry.  ...  Natural language understanding and Natural language generation as shown in figure 2, to full fill the set goals of human machine communication implementation. Figure.2.  ... 
arXiv:1011.3258v1 fatcat:i7bxp7uma5bldkrcjuttunf3ue
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