Emerged computer interaction with humanity social computing
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Emerged computer interaction with humanity social computing

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In the 21st century, everywhere people analyze & measure societal. The new trend to compute the societal is ...

In the 21st century, everywhere people analyze & measure societal. The new trend to compute the societal is
known as social computing. The emerging trend of research focuses interaction of technologies with
humanity. This interaction can be either man machine interaction or human computer interaction. This
article conveys the brief description of social computing and social impact of computing into variant
environment. It optimises the interaction technology, ubiquitous computing and pervasive computing.
Subsequently affective computing is discussed with artificial intelligence to motivate the automation of
technology in social computing.

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Emerged computer interaction with humanity social computing Emerged computer interaction with humanity social computing Document Transcript

  • International Journal on Computational Sciences & Applications (IJCSA) Vol.4, No.1, February 2014 DOI:10.5121/ijcsa.2014.4116 161 EMERGED COMPUTER INTERACTION WITH HUMANITY: SOCIAL COMPUTING Anil K Dubey1# , Dilip Sisodia2# , Dinesh Khunteta3# Amara Ram Saini4# , Vikas Chaturvedi5 1, 4 Faculty - Department of Computer Science Engineering 2,3 Assistant Professor – CSE Department 5 Asst. Prof. – CSE Dept, LIT Sarigam, Gujrat, INDIA # Govt. Engineering College, Ajmer, Rajasthan, INDIA ABSTRACT In the 21st century, everywhere people analyze & measure societal. The new trend to compute the societal is known as social computing. The emerging trend of research focuses interaction of technologies with humanity. This interaction can be either man machine interaction or human computer interaction. This article conveys the brief description of social computing and social impact of computing into variant environment. It optimises the interaction technology, ubiquitous computing and pervasive computing. Subsequently affective computing is discussed with artificial intelligence to motivate the automation of technology in social computing. KEYWORDS CIH(Computer Interaction With Humanity), Social Computing, HCI, Behaviour, Artificial Intelligence. 1. INTRODUCTION Genuine term related to computer science subject, focussing on intersection b/w social behaviour & computational systems is known as social computing. Fig. 1: Social Computing Coverage
  • International Journal on Computational Sciences & Applications (IJCSA) Vol.4, No.1, February 2014 162 1.1 Definition "Social Computing" refers to systems that support the gathering, representation, processing, use, and dissemination of information that is distributed across social collectivises such as teams, communities, organizations, and markets. [1] Fig. 2: Social Computing 1.2 HCI Human–computer interaction controls the study, planning & design of interaction b/w users (people) and systems (computers). Fig. 3: Graphical linking of subjects to HCI 1.3 SOCIAL IMPACT OF COMPUTING It is not difficult to measure the significant impact of computing into society. Few of impact of computing on society are as follows: Computer Science Behavioural Science Design Technological field Engineering Others... Social Computational Behaviour Systems
  • International Journal on Computational Sciences & Applications (IJCSA) Vol.4, No.1, February 2014 163 Fig. 4: Social impact of computing 1.4 COMPUTER-MEDIATED COMMUNICATION Computer-Mediated Communication has become a part of everyday life. Fig. 5: Computer-Mediated Communication Social processes can be accepted through language analysis: body expression, behavioural expression, facial expression etc. Social visualization and social sense-making effects social computing that are deployed in blue print form through social design.
  • International Journal on Computational Sciences & Applications (IJCSA) Vol.4, No.1, February 2014 164 Fig. 6: Past, present and future of Social Computing 2. ROLE OF HUMANITY IN COMPUTER INTERACTION The society is encroaching towards improving the quality of life in order to evolve a more promising and fruitful orientation towards our natural environment. The systems and technologies needed to accomplish this include: [2] Fig. 7: Systems and technologies needed to accomplish role of HCI in Society 2.1 Human error The distractions of expected results in terms of quality, quantity beyond acceptable limits which can or cannot be corrected or accepted are known as Human errors.[3] 2.2 Social Networks To enable people in maintaining the relationships among their relatives & environment, the social networks provide more effective tool for connecting people. International Journal on Computational Sciences & Applications (IJCSA) Vol.4, No.1, February 2014 164 Fig. 6: Past, present and future of Social Computing 2. ROLE OF HUMANITY IN COMPUTER INTERACTION The society is encroaching towards improving the quality of life in order to evolve a more promising and fruitful orientation towards our natural environment. The systems and technologies needed to accomplish this include: [2] Fig. 7: Systems and technologies needed to accomplish role of HCI in Society 2.1 Human error The distractions of expected results in terms of quality, quantity beyond acceptable limits which can or cannot be corrected or accepted are known as Human errors.[3] 2.2 Social Networks To enable people in maintaining the relationships among their relatives & environment, the social networks provide more effective tool for connecting people. International Journal on Computational Sciences & Applications (IJCSA) Vol.4, No.1, February 2014 164 Fig. 6: Past, present and future of Social Computing 2. ROLE OF HUMANITY IN COMPUTER INTERACTION The society is encroaching towards improving the quality of life in order to evolve a more promising and fruitful orientation towards our natural environment. The systems and technologies needed to accomplish this include: [2] Fig. 7: Systems and technologies needed to accomplish role of HCI in Society 2.1 Human error The distractions of expected results in terms of quality, quantity beyond acceptable limits which can or cannot be corrected or accepted are known as Human errors.[3] 2.2 Social Networks To enable people in maintaining the relationships among their relatives & environment, the social networks provide more effective tool for connecting people.
  • International Journal on Computational Sciences & Applications (IJCSA) Vol.4, No.1, February 2014 165 2.3 Semantic Web W3C says that, "To sharing and reuse the property of data across their application and community boundaries within project is facilitated by a common framework that is provided by Semantic Web”. 2.4 Mobile Social Mobile social network is a type of social network where people with similar interests communicate and connect with various folks through their mobile phone or tablet. Current trend of social network websites show that they create mobile apps to provide their users instantaneous and real-time access through their device. i.e. facebook. 3. SOCIAL COMPUTING Social computing is concerned with the study of social behaviour and social context based on computational systems. Fig. 8: Behaviour Modelling Social computing provides four main facilities to the behavioural modelling: Table 1: Behavioural modelling facility provided by social computing S. No Facility Description 1. Model building To create & build up models for behaviour 2. Analysis Review the creation & already created models with their design work 3. Pattern mining Minimize the patterns through mining 4. Prediction Follow the rules & regulations to control the error in the designing International Journal on Computational Sciences & Applications (IJCSA) Vol.4, No.1, February 2014 165 2.3 Semantic Web W3C says that, "To sharing and reuse the property of data across their application and community boundaries within project is facilitated by a common framework that is provided by Semantic Web”. 2.4 Mobile Social Mobile social network is a type of social network where people with similar interests communicate and connect with various folks through their mobile phone or tablet. Current trend of social network websites show that they create mobile apps to provide their users instantaneous and real-time access through their device. i.e. facebook. 3. SOCIAL COMPUTING Social computing is concerned with the study of social behaviour and social context based on computational systems. Fig. 8: Behaviour Modelling Social computing provides four main facilities to the behavioural modelling: Table 1: Behavioural modelling facility provided by social computing S. No Facility Description 1. Model building To create & build up models for behaviour 2. Analysis Review the creation & already created models with their design work 3. Pattern mining Minimize the patterns through mining 4. Prediction Follow the rules & regulations to control the error in the designing International Journal on Computational Sciences & Applications (IJCSA) Vol.4, No.1, February 2014 165 2.3 Semantic Web W3C says that, "To sharing and reuse the property of data across their application and community boundaries within project is facilitated by a common framework that is provided by Semantic Web”. 2.4 Mobile Social Mobile social network is a type of social network where people with similar interests communicate and connect with various folks through their mobile phone or tablet. Current trend of social network websites show that they create mobile apps to provide their users instantaneous and real-time access through their device. i.e. facebook. 3. SOCIAL COMPUTING Social computing is concerned with the study of social behaviour and social context based on computational systems. Fig. 8: Behaviour Modelling Social computing provides four main facilities to the behavioural modelling: Table 1: Behavioural modelling facility provided by social computing S. No Facility Description 1. Model building To create & build up models for behaviour 2. Analysis Review the creation & already created models with their design work 3. Pattern mining Minimize the patterns through mining 4. Prediction Follow the rules & regulations to control the error in the designing
  • International Journal on Computational Sciences & Applications (IJCSA) Vol.4, No.1, February 2014 166 3.1 Social Intelligence and Social Cognition Fig. 9: Defining term of Social Intelligence Social intelligence is the capacity to effectively negotiate complex social relationships and environments. Table 2: Types of Intelligence S. No Types of Intelligence Description 1. Abstract Intelligence Pertaining to the ability to understand & manage ideas 2. Mechanical Intelligence Concrete Objects 3. Social Intelligence People 3.2 Emotional Intelligence Emotional intelligence is the one of the most known intelligence from social intelligence. “Emotional intelligence is the innate potential to feel, use, communicate, recognize, remember, describe, identify, learn from, manage, understand and explain emotions.” Five major categories of emotional intelligence skills are recognized by researchers in this area. International Journal on Computational Sciences & Applications (IJCSA) Vol.4, No.1, February 2014 166 3.1 Social Intelligence and Social Cognition Fig. 9: Defining term of Social Intelligence Social intelligence is the capacity to effectively negotiate complex social relationships and environments. Table 2: Types of Intelligence S. No Types of Intelligence Description 1. Abstract Intelligence Pertaining to the ability to understand & manage ideas 2. Mechanical Intelligence Concrete Objects 3. Social Intelligence People 3.2 Emotional Intelligence Emotional intelligence is the one of the most known intelligence from social intelligence. “Emotional intelligence is the innate potential to feel, use, communicate, recognize, remember, describe, identify, learn from, manage, understand and explain emotions.” Five major categories of emotional intelligence skills are recognized by researchers in this area. International Journal on Computational Sciences & Applications (IJCSA) Vol.4, No.1, February 2014 166 3.1 Social Intelligence and Social Cognition Fig. 9: Defining term of Social Intelligence Social intelligence is the capacity to effectively negotiate complex social relationships and environments. Table 2: Types of Intelligence S. No Types of Intelligence Description 1. Abstract Intelligence Pertaining to the ability to understand & manage ideas 2. Mechanical Intelligence Concrete Objects 3. Social Intelligence People 3.2 Emotional Intelligence Emotional intelligence is the one of the most known intelligence from social intelligence. “Emotional intelligence is the innate potential to feel, use, communicate, recognize, remember, describe, identify, learn from, manage, understand and explain emotions.” Five major categories of emotional intelligence skills are recognized by researchers in this area.
  • International Journal on Computational Sciences & Applications (IJCSA) Vol.4, No.1, February 2014 167 Table 3: Categorization of Emotional Intelligence 3.3 Social Behaviour Modelling The moulding and measurement of the hypothesis about human goals and objectives through pragmatic and conditional groups and individual behaviours aid social behavioural modelling. [4] 3.4 Affective, Pervasive & Ubiquitous Computing Affective computing gets its name from the field of Psychology, in which "affect" is, basically, a synonym for "emotion”. Affective computing is field of HCI where devices have the ability towards detection and produce appropriately respond to its user's emotions and other stimuli. The advancement at exponential speeds of computer technology pronounce new concept as Pervasive computing. Pervasive computing is targeted to combine current network technologies with wireless computing. The computing that relates to, arises from, or deliberately influences emotion or other affective phenomena. Emotion is fundamental to human experience, influencing cognition, perception, and everyday tasks such as learning, communication, and even rational decision-making. UC is an advanced computing concept where computing is made to appear everywhere and anywhere. A user interacts with the computer, which can exist in many different forms, including laptop computers, tablets, terminals and phones. S. No. Category of EI Details 1. Self-awareness ♣ Emotional awareness ♣ Self-confidence 2. Self-regulation ♣ Self-control ♣ Trustworthiness ♣ Conscientiousness ♣ Adaptability ♣ Innovation 3. Motivation ♣ Achievement drive ♣ Commitment ♣ Initiative ♣ Optimism 4. Empathy ♣ Service orientation ♣ Developing others ♣ Leveraging diversity ♣ Political awareness ♣ Understanding others 5. Social skills ♣ Influence ♣ Communication ♣ Leadership ♣ Change catalyst ♣ Conflict management ♣ Building bonds ♣ Collaboration and cooperation ♣ Team capabilities
  • International Journal on Computational Sciences & Applications (IJCSA) Vol.4, No.1, February 2014 168 4. EXAMPLES Socially intelligent computing is a new term that refers to the recent efforts of individuals to understand the ways in which systems of people and computers will prove useful as intermediaries between people and tools used by people. These systems result in new behaviours that occur as a result of the complex interaction between humans and computers. [5] Few of real times examples as: a) Social media: Social media refers to interaction among people in which they create, share, and/or exchange information and ideas in virtual communities and networks. b) Living labs: A living lab is a user-centred, open-innovation ecosystem, often operating in a territorial context integrating concurrent research and innovation processes within a public-private-people partnership. The living lab Support multidisciplinary team in Co- creation, Exploration, Experimentation and Evaluation activities. c) Interactive systems in healthcare: Four interactive systems: e-health, m-health, telemedicine and medical informatics are more effective in healthcare department. 5. IMPACT OF CIH IN SOCIAL COMPUTING Social Computing is more impressed with term of CIH. a) Market motivation: CIH motivates the market of social computing by improving the interaction of social behaviour & acquires design of entities as per humanity. b) Adaptability: CIH maintains the adaptability of social computing. c) Trust in things, entities: Computer interaction with humanity manages the reliability of social computing. Therefore, the level of trust into social things & entities is high and it becomes more trustworthy to the people’s opinion. d) Socio-technical systems: Social computing begins with the observation that human and human behaviour are profoundly social. e) Socially-adapt interfaces: Society adopts most of the interfaces designed for automation of their work. f) Implicit (human-behaviour-based) tagging: The tagging concept is implicated to indicate the minimum level of human based modelling for social computing. g) Reality mining systems: The real time system of social computing is mining through the innovation of CIH. CONCLUSION Social Computing is more emerging field in computer science research. It is the intersection of two: one of them is social behaviour which comes from emotions & intelligence and the other one being computational systems used to measure the accuracy of results. In this paper, we reviewed the concept of social computing in brief and proposed its relationship to CIH. We represented the social impacts of computing in graphical form. The concept of human error, social network, semantic web, mobile social, social media analysis and social media intelligence declared the role of humanity in computer interaction. Different definitions of social intelligence are marked and
  • International Journal on Computational Sciences & Applications (IJCSA) Vol.4, No.1, February 2014 169 the types of intelligence are categorized. Two factors of intelligence- emotional intelligence (EQ) and one’s intelligence (IQ) affect people’s behaviour. Lastly a few real time applications of social computing & CIH used in the environment are cited. ACKNOWLEDGEMENTS The authors are thankful to the audience. REFERENCES [1] Douglas Schuler, "Introduction to Social Computing” special edition of the Communications of the ACM, volume 37, Issue 1 (January 1994), Pages: 28 – 108. [2] http://www.bibliotecapleyades.net/ciencia/ciencia_emergingtechnologies.htm [3] Senders, J.W. and Moray, N.P. “Human Error: Cause, Prediction, and Reduction”, Lawrence Erlbaum Associates(1991), p.25, ISBN 0-89859-598-3. [4] Hollnagel and E., “Human Reliability Analysis Context and Control”, Academic Press Limited(1993), ISBN 0-12-352658-2. [5] Reason and J., “Human Error”, Cambridge University Press(1990), ISBN 0-521-31419-4. Author Mr. Anil K. Dubey has received B.Tech, M.Tech degree and pursuing Ph.D. in Computer Science Engineering. Currently, he is working as a Faculty member in CSE department at Govt. Engineering College Ajmer. He has participated in various international & national conferences. His presented paper is indexed in reputed journals (with 3.8 impact factor) and several digital libraries like IEEE. He has also organized many national & international conferences and workshops. His research interests include: Software Engineering, Software Reliability, HCI, HPSC and Ubiquitous Computing. He serves as Reviewer Committee Member of many international journals (like Springer, Elsevier, AIRCC, TJPRC etc) and international Conferences (like IEEE, ACM etc) and have reviewed more than 38 research papers. He is also the editor board member of four international reputed journals and program committee member of IEEE conferences. He is also a member of various technical research societies such as IEEE, ACM, Computer Society of India & ISTE, CSTA, etc. Mr. Dilip Sisodia has received B.E. in Computer Engineering from Engineering College Ajmer. He is working as an Assistant Professor in CSE department at Govt. Engineering College Ajmer. His areas of interest include Programming in C, C++ & Software Engineering. Mr. Dinesh Khunteta has received B.E. in Computer Engineering from University College of Engineering, RTU Kota. He is working as an Assistant Professor in CSE department at Govt. Engineering College Ajmer. His areas of interest include DAA, Compiler. Mr. Amara Ram Saini has received B.E. in Computer Engineering from University College of Engineering, RTU Kota. He is working as a Faculty member in CSE department at Govt. Engineering College Ajmer. His areas of interest include C, C++, Java, Data structure,Theory of Automata and Social Computing. Mr. Vikas Chaturvedi has received B.E. and M.Tech in Computer Engineering from Engineering College Ajmer. He is working as a Assistant Professor in CSE department at LIT Sarigam, Gujrat, INDIA . His areas of interest include DBMS, Cryptography.