Human-centered Computing Lab Contextual Inference and - PowerPoint PPT Presentation

Human-centered Computing Lab Contextual Inference and Characterization Derived from Wireless Data Mining Rute Sofia (rute.sofia@ulusofona.pt) http://copelabs.ulusofona.pt

Agenda • Background and COPELABS R&D Unit • 2017 Projects and Main Outcome • Wireless Network Mining Tools • Nsense and PerSense Mobile Light as Examples • Wireless Network Mining • Tracking Indicators and Inference Examples • Ongoing Experiments • Summary, network operation applicability 2 10.07. 2017 R. Sofia (rute.sofia@ulusofona.pt)

My Background • Packet-based networking: IPv4/IPv6; carrier grade Ethernet; QoS; Mobility management and estimation • Current focus: IoT, wireless networks; • 2010-, Senior Researcher COPELABS/Associate Rute C. Sofia, PhD Professor University Lusofona, Lisbon, Portugal network architectural design that • COPELABS scientific coordinator (vice-director) integrates social aspects (e.g. better • Before : spectrum sharing; social proximity) • COPELABS Director (2014-2016) • Scientific Director SITILabs (2010 – 2013) • Area leader, INESCTEC (2007 – 2010) • Senior Researcher, Siemens AG CT IC2, DE (2004 – 2007) • Senior Researcher, Bundeswehr Universitaet, DE (2004) • WAN Engineer, FCCN, PT (1998-2003) • Visiting Scholar, Univ. Pennsylvania, EUA (2000 – 2003) • Visiting Scholar, ICAIR/Northwestern University, Evanston, IL, USA (2000) • Grupo Forum, PT Networking systems admin/Web team coordinator (1995-1998) 3 10.07. 2017 R. Sofia (rute.sofia@ulusofona.pt)

COPELABS R&D Unit Structure • Multidisciplinary unit: informatics and psychology • 2013 FCT evaluation: “Good” (Multidisciplinary; small unit; high experimental intensity) • Private, not-for profit entity; secondary management institution: COFAC c.r.l. (University Lusofona de Humanidades e Tecnologias) Main Research Lines 2013-2020 • Internet Science Data Mining, • Pervasive wireless systems proximity • Networking dynamics (Proxemics Data Lab) • Cyberpsychology • Assessment/rehabilitation of psychological disorders Focus • Promote well-being via pervasive, non-intrusive, and networked technology Team • 28 reseachers (15 Ph.D.) • SITI: Informatics Systems and Technologies • CTIP: Cognitive and Technology Intensive Psychology 4 10.07. 2017 R. Sofia (rute.sofia@ulusofona.pt)

2017 Team 17 researchers 7 PhD students Monica Pedro, MSc Paulo Mendes, PhD (2014/2015) Rute Sofia, PhD Pervasive Wireless Implicit Interactions Networking dynamics Systems Senior Francisco Pereira., MSc (2014/2015) Researchers Andres Mrad, MSc (2016/2017) Inferring behaviour Gaming Design framework Jose Faisca, MSc (2012/2013) Personal Cloud Systems Samrat Dattagupta. MSc PhD Data Mining Community dynamics Rui Ribeiro, PhD Students Jr. Researcher Open-source systems Jose Rogado, PhD Security, Parallel Computing Aurea Costa, MSc (2014/2015) Sensor based Pervasive Interaction in Sport Seweryn Dynerowicz, PhD Opportunistic networking Researcher Liliana Carvalho Researchers Pervasive sensing applied to social well-being Jr Researchers Preyesse Arquissandas, MSc (2013/2014) Miguel Tavares Sensor based People-centric sensing Augmented Reality Software Engineer/Jr Researcher Helder Valente (2016/2017) Unified communications in IoT Omar Aponte, MSc José Soares (undergrade) Opportunistic networking, Software Engineering people-centric sensing support Jr Researcher 5 10.07. 2017 R. Sofia (rute.sofia@ulusofona.pt)

Scientific and Technologic Focus 2016 / 2017 2016 2017 7 10.07. 2017 R. Sofia (rute.sofia@ulusofona.pt)

Project Overview 2017 H2020 UMOBILE (2015-2018) • Pervasive wireless systems • Universal, mobile-centric and opportunistic communications architecture • COPELABS: adding opportunistic communications to Named-data networking CitySense (2015-2018) • People-centric sensing • Development of sensing middleware to analyze and stimulate social interaction Proxemics Data Lab (2016-2018) • Social networking dynamics • Network mining: proxemics and social interaction 10 10.07. 2017 R. Sofia (rute.sofia@ulusofona.pt)

H2020 UMOBILE Main Outcome NDN-Opp: Opportunistic Routing • Pervasive wireless systems • Universal, mobile-centric and opportunistic communications architecture • COPELABS: adding opportunistic communications to Named- data networking • Contacts: Seweryn Dynerowicz, Paulo Mendes Now@, Oi! • Opportunistic data dissemination • Contacts: Omar Aponte, Paulo Mendes Contextualization Manager • Social networking dynamics • Network mining: proxemics and social interaction • Open-source module for usage and affinity network (neighborhood) characterization • Contacts: Jose Soares, Rute Sofia 11 10.07. 2017 R. Sofia (rute.sofia@ulusofona.pt)

CitySense Main Outcome Nsense v1.0 • Open-source pervasive wireless sensing middleware • Pipelines: motion; proximity; sound activity • Contextualization: social interaction level and probability of interaction • Sofia, Rute C.; Firdose, Saeik; Lopes, Luis Amaral; Moreira, Waldir; Mendes, Paulo. NSense: A People-centric, non-intrusive Opportunistic Sensing Tool for Contextualizing Social Interaction. IEEE Healthcom 2016: 2016 IEEE 18th International Conference on eHealth Networking, Application, Services, pp 1-6, DOI: 10.1109/HealthCom.2016.7749490 NSense v2.0 • Pipelines added: mobility • Features added: interest exchange mHealth: Elderly Social Stimulation Connected Mobility Goal : Improve life experience Goal: Improve mobility in urban scenarios • • Detect isolation behaviors to trigger Exploit the car as a Data Drone • alerts and actions Use social evidence to improve mobility • Detect common interests and behaviors patterns. • to stimulate social contacts Identify the best correlation among all • Increase social interaction by provide mobility forms used by a community tracking information in a controlled environment 12

Proxemics Data Lab (2016-2018) http://copelabs.ulusofona.pt/~pdlab/ Behavior correlation and inference via pervasive, non-intrusive technology Scientific Areas How Early detection of Community/Group neuro/psychologica Traces Data Mining Dynamics l disorders Physical psychological Mild Cognitive proximity patterns Impairments 13 10.07. 2017 R. Sofia (rute.sofia@ulusofona.pt)

Proxemics Definitions • Dictionary (Merriem-Webster) the study of the nature, degree, and effect of the spatial separation individuals naturally maintain (as in various social and interpersonal situations) and of how this separation relates to environmental and cultural factors • Origin: 1960-65; prox(imity) + -emics (extracted from phonemics); apparently coined by U.S. anthropologist Edward T. Hall (born 1914) • Sociology, psychology: the study of the spatial requirements of humans and animals and the effects of population density on behavior, communication, and social interaction. • Proxemics in COPELABS • Physical distance (personal, social and public spaces) • Study of nonverbal communication factors: Kinesthetic, voice, touching • Neuropsychology: personal space in terms of the kinds of "nearness" to the body. • Cultural factors, namely adaptation: relationships may allow for personal space to be modified, including friendships and close acquaintances. Physical and psychological aspects 14 10.07. 2017 R. Sofia (rute.sofia@ulusofona.pt)

Proxemics Data Lab @COPELABS Main Outcome • M. Bianchi, Anna Pegna, R. Sofia, Igor dos Santos, Ana Loureiro, Joana Santos, Ricardo Rodrigues, Samrat Dattagupta. Social Interaction Analysis with non-intrusive wireless technology in children. 09.2017. Tool: PerSense Mobile Light (Senception Lda) and surveys • Population : 80 children (10-12), 1 school in Lisbon • Duration: May 2017 • Purpose: i) contact and prejudice in children; ii) well-being and spaces; iii) physical proximity and mobility • URL: September 2017 • • M. Tavares, P. Mendes, R. Brito. Nearness and Interests Traces. 2017.04 Tool : Nsense v2.0 • Population : ,15 students (out of 50) • Duration : 05.04.2017-06.04.2017. • Purpose : study influence in psychological proximity • URL: http://siti2.ulusofona.pt:8085/xmlui/handle/20.500.11933/699 • sofona.pt:8085/xmlui/handle/20.500.11933/699 • S. Firdose, L. Lopes, W. Moreira, R. Sofia, P. Mendes. Data concerning social interaction and propinquity based on wireless and bluetooth. 2017.01 Tool: Nsense v1.0 • Population: 5 elements • Duration: 22 hours and 50 hours • URL: http://crawdad.org/copelabs/usense/20170127/ • • S. Firdose, L. Lopes, W. Moreira, R. Sofia, P. Mendes, Interpersonal space traces. 2017.01 Tool: Nsense v2.0 • Population:9 elements • Duration: 12 days (12 days from 12th September to 23rd September 2016) • http://crawdad.org/copelabs/usense/20170127/NSense%20Data%20set%20II/ • 15 10.07. 2017 R. Sofia (rute.sofia@ulusofona.pt)