Human machine interface in the Internet of Things (IoT)

Humans would play a central role in IoT systems. The human operator represents one of the most vulnerable in the IoT system, one who can easily be overlooked. In the present study, we sought to accentuate human-in-the-loop issues in System of Systems, and in particular IoT systems through reviewing relevant literature from various perspectives. Some of the issues we highlighted include information visualization, cognition and human trust in intelligent systems. We also explained how neuroergonomics approaches may be employed together with traditional behavioral and subjective measures to improve human-IoT device interactions.

[1]  Artemis Moroni,et al.  Vision and Challenges for Realising the Internet of Things , 2010 .

[2]  Kevin Ashton,et al.  That ‘Internet of Things’ Thing , 1999 .

[3]  Robert Earl Patterson,et al.  Intuitive Cognition and Models of Human–Automation Interaction , 2017, Hum. Factors.

[4]  Mary Jane Hall,et al.  Removing the HCI Bottleneck: How the Human-Computer Interface (HCI) Affects the Performance of Data Fusion Systems* , 2001 .

[5]  David L. Hall,et al.  Perspectives on the Human Side of Data Fusion: Prospects for Improved Effectiveness Using Advanced Human–Computer Interfaces , 2017 .

[6]  John D. Lee,et al.  Trust in Automation: Designing for Appropriate Reliance , 2004 .

[7]  Michael Farry,et al.  Low-level Automation as a Pathway to Appropriate Trust in an Intelligent PED Enterprise: Design of a Collaborative Work Environment , 2015, ICIS 2015.

[8]  T. Bastick,et al.  Intuition--how we think and act , 1982 .

[9]  Raja Parasuraman,et al.  Neuroergonomics: The Brain at Work , 2006 .

[10]  Rae A. Earnshaw,et al.  Ten Unsolved Problems with the Internet of Things , 2015, 2015 International Conference on Cyberworlds (CW).

[11]  J. G. Holmes,et al.  Trust in close relationships. , 1985 .

[12]  Marimuthu Palaniswami,et al.  Internet of Things (IoT): A vision, architectural elements, and future directions , 2012, Future Gener. Comput. Syst..

[13]  Cheri Speier,et al.  The influence of information presentation formats on complex task decision-making performance , 2006, Int. J. Hum. Comput. Stud..

[14]  Christian Mühl,et al.  Review of the Use of Electroencephalography as an Evaluation Method for Human-Computer Interaction , 2013, PhyCS.

[15]  Christopher D. Wickens,et al.  A model for types and levels of human interaction with automation , 2000, IEEE Trans. Syst. Man Cybern. Part A.

[16]  Alexander Gluhak,et al.  A survey on facilities for experimental internet of things research , 2011, IEEE Communications Magazine.

[17]  Thomas B. Sheridan,et al.  TRUSTWORTHINESS OF COMMAND AND CONTROL SYSTEMS , 1988 .

[18]  Mary Czerwinski,et al.  Selected Human Factors Issues in Information Visualization , 2009 .

[19]  S. Gregor,et al.  Measuring Human-Computer Trust , 2000 .

[20]  Barry Tillman,et al.  Human Factors in Human-Systems Integration , 2008 .

[21]  M. Endsley.  Automation and situation awareness. , 1996 .

[22]  Miguel P. Eckstein,et al.  Human Supervisory Control of Robotic Teams: Integrating Cognitive Modeling with Engineering Design , 2015, IEEE Control Systems.

[23]  Arkady B. Zaslavsky,et al.  Context Aware Computing for The Internet of Things: A Survey , 2013, IEEE Communications Surveys & Tutorials.

[24]  Masooda Bashir,et al.  Trust in Automation , 2015, Hum. Factors.

[25]  In Lee,et al.  The Internet of Things (IoT): Applications, investments, and challenges for enterprises , 2015 .

[26]  Sathish Alampalayam Kumar,et al.  Cloud Based Architecture for Enabling Intuitive Decision Making , 2013, 2013 IEEE Ninth World Congress on Services.

[27]  Iris Vessey,et al.  The effect of information presentation on decision making: A cost-benefit analysis , 1994, Inf. Manag..

[28]  S. Sloman.  The empirical case for two systems of reasoning. , 1996 .

[29]  Tuck Wah Leong,et al.  Approaching a human-centred internet of things , 2013, OZCHI.

[30]  Raja Parasuraman,et al.  Trust in Decision Aids: a Model and Its Training Implications , 1998 .

[31]  Peter Friess,et al.  Internet of Things Strategic Research Roadmap , 2011 .

[32]  Michael Farry,et al.  Low-Level Automation as a Pathway to Appropriate Trust in the PED Enterprise : Design of a Collaborative Work Environment , 2015 .

[33]  Chi Harold Liu,et al.  The Emerging Internet of Things Marketplace From an Industrial Perspective: A Survey , 2015, IEEE Transactions on Emerging Topics in Computing.

[34]  Michelle N. Lumicao,et al.  EEG correlates of task engagement and mental workload in vigilance, learning, and memory tasks. , 2007, Aviation, space, and environmental medicine.

[35]  Athanasios V. Vasilakos,et al.  A survey on trust management for Internet of Things , 2014, J. Netw. Comput. Appl..

[36]  Maurizio Tomasella,et al.  Vision and Challenges for Realising the Internet of Things , 2010 .

[37]  T. Pearson,et al.  Direct comparison of the efficacy of intuitive and analytical cognition in expert judgment , 1987, IEEE Transactions on Systems, Man, and Cybernetics.

[38]  Rodrigo Roman,et al.  On the features and challenges of security and privacy in distributed internet of things , 2013, Comput. Networks.

[39]  James Llinas,et al.  An introduction to multisensor data fusion , 1997, Proc. IEEE.

[40]  Antonio Iera,et al.  The Internet of Things: A survey , 2010, Comput. Networks.

[41]  Ann M. Bisantz,et al.  The impact of cognitive feedback on judgment performance and trust with decision aids , 2008 .

[42]  Ann M. Bisantz,et al.  Measuring the Fit between Human Judgments and Alerting Systems: A Study of Collision Detection in Aviation , 2009 .

[43]  Kathleen L. Mosier,et al.  Cognition in the Automated Cockpit: A Coherence Perspective , 2001 .

[44]  Stefan Haufe,et al.  The Berlin Brain–Computer Interface: Non-Medical Uses of BCI Technology , 2010, Front. Neurosci..

[45]  R. Hogarth.  Deciding Analytically or Trusting your Intuition? The Advantages and Disadvantages of Analytic and Intuitive Thought , 2002 .

[46]  Self-Theory.  Intuition From the Perspective of Cognitive-Experiential , 2011 .

[47]  Jonathan Evans,et al.  Science Perspectives on Psychological , 2022 .