A comprehensive overview of smart wearables: The state of the art literature, recent advances, and future challenges

Abstract Smart wearables have gained considerable attention from Information Systems (IS) academics, business managers, and health practitioners. In spite of the availability of authentic research studies of smart wearables, there is still a lack of systematic review on the different aspects of smart wearables concept to find the current state of research, particularly from the perspective of IS field. Therefore, the predominant aim of this research is to review smart wearables literature, recent advances, and future challenges. Accordingly, a systematic literature review was conducted to explore smart wearables by reviewing previous studies from 2010 to 2019. For covering all related papers during these years, an integrated review protocol consisting of automatic and manual stages was pursued. 244 papers were identified to address smart wearables issues and challenges. According to the findings, it is observed that smart wearable studies have increased dramatically during the last years. Moreover, the results show that current studies covered different research themes which are related to smart wearables area, particularly user behavior, technology-focused, security and privacy, design, and social acceptability. Furthermore, based on the results of the weight analysis technique, perceived usefulness, attitude toward technology, social influence, and privacy concerns are identified as the best predictors of smart wearables adoption. Additionally, the results show that the Technology Acceptance Model (TAM) is the most commonly adopted theory in the smart wearable studies. The findings of this review would assist academics to realize the existing limitations and gaps as well as the future works for smart wearables research studies.

[1]  Pradeep Yammiyavar,et al.  Exploring Potential of Traditionally Crafted Textiles to Transform into e-Wearables for Use in Socio-cultural Space , 2018, HWID.

[2]  Joseph Sarkis,et al.  Green supply chain management: A review and bibliometric analysis , 2015 .

[3]  Milad Dehghani,et al.  The effects of design, size, and uniqueness of smartwatches: perspectives from current versus potential users , 2019, Behav. Inf. Technol..

[4]  Jaehun Joo,et al.  Consumer adaptation and infusion of wearable devices for healthcare , 2017, Comput. Hum. Behav..

[5]  Timothy Jung,et al.  Mapping requirements for the wearable smart glasses augmented reality museum application , 2016 .

[6]  John P. Sullivan,et al.  A Critical Review of Consumer Wearables, Mobile Applications, and Equipment for Providing Biofeedback, Monitoring Stress, and Sleep in Physically Active Populations , 2018, Front. Physiol..

[7]  Milad Dehghani,et al.  Exploring the motivational factors on continuous usage intention of smartwatches among actual users , 2018, Behav. Inf. Technol..

[8]  Christiane Lehrer,et al.  Privacy-Related Decision-Making in the Context of Wearable Use , 2016, PACIS.

[9]  Nicholas Gant,et al.  End Users Want Alternative Intervention Delivery Models: Usability and Acceptability of the REMOTE-CR Exercise-Based Cardiac Telerehabilitation Program. , 2018, Archives of physical medicine and rehabilitation.

[10]  Eunil Park,et al.  Understanding the emergence of wearable devices as next-generation tools for health communication , 2016, Inf. Technol. People.

[11]  Richard T. Watson,et al.  Analyzing the Past to Prepare for the Future: Writing a Literature Review , 2002, MIS Q..

[12]  Abeer Alsadoon,et al.  Ethical Implications of User Perceptions of Wearable Devices , 2018, Sci. Eng. Ethics.

[13]  Ashwini K. Rao,et al.  Wearable Sensor Technology to Measure Physical Activity (PA) in the Elderly , 2019, Current Geriatrics Reports.

[14]  Anand Jeyaraj,et al.  A review of the predictors, linkages, and biases in IT innovation adoption research , 2006, J. Inf. Technol..

[15]  Claudio Domenici,et al.  An Innovative, Unobtrusive Approach to Investigate Smartphone Interaction in Nonaddicted Subjects Based on Wearable Sensors: A Pilot Study , 2019, Medicina.

[16]  Yukun Bao,et al.  Acceptance and use predictors of fitness wearable technology and intention to recommend , 2019, Ind. Manag. Data Syst..

[17]  Jinwoo Kim,et al.  A qualitative cross-national study of cultural influences on mobile data service design , 2005, CHI.

[18]  Romeo Bandinelli,et al.  Business Models and ICT Technologies for the Fashion Supply Chain , 2017 .

[19]  ZoHangjung,et al.  User acceptance of wearable devices , 2016 .

[20]  Yogesh Kumar Dwivedi,et al.  A review and weight analysis of the predictors and linkages in electronic government adoption research , 2014 .

[21]  Hock-Hai Teo,et al.  The Role of Push-Pull Technology in Privacy Calculus: The Case of Location-Based Services , 2009, J. Manag. Inf. Syst..

[22]  Ki Joon Kim Round or Square? How Screen Shape Affects Utilitarian and Hedonic Motivations for Smartwatch Adoption , 2016, Cyberpsychology Behav. Soc. Netw..

[23]  Michael H. Breitner,et al.  Smart services in healthcare: A risk-benefit-analysis of pay-as-you-live services from customer perspective in Germany , 2019, Electron. Mark..

[24]  Chuen Seng Tan,et al.  Fitbit Charge HR Wireless Heart Rate Monitor: Validation Study Conducted Under Free-Living Conditions , 2017, JMIR mHealth and uHealth.

[25]  Anna Sell,et al.  Co-creation Model to Design Wearables for Emotional Wellness of Elderly , 2018, Bled eConference.

[26]  D Roggen,et al.  Wearable Computing , 2011, IEEE Robotics & Automation Magazine.

[27]  Panagiotis Kyratsis,et al.  A Conceptual Design of Intelligent Shoes for Pregnant Women , 2016 .

[28]  Philipp Brauner,et al.  A Step in the Right Direction - Understanding Privacy Concerns and Perceived Sensitivity of Fitness Trackers , 2017, AHFE.

[29]  Dorina Rajanen,et al.  Digitization for fun or reward?: a study of acceptance of wearable devices for personal healthcare , 2017, MindTrek.

[30]  E. Rogers Diffusion of Innovations , 1962 .

[31]  Viswanath Venkatesh,et al.  Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology , 2012, MIS Q..

[32]  Dong-Hee Shin,et al.  Conceptualizing and measuring quality of experience of the internet of things: Exploring how quality is perceived by users , 2017, Inf. Manag..

[33]  John W. Cheng,et al.  The underlying factors of the perceived usefulness of using smart wearable devices for disaster applications , 2017, Telematics Informatics.

[34]  Iis P. Tussyadiah,et al.  Embodiment of Wearable Augmented Reality Technology in Tourism Experiences , 2018 .

[35]  Yan Zhang,et al.  Technical attributes, health attribute, consumer attributes and their roles in adoption intention of healthcare wearable technology , 2017, Int. J. Medical Informatics.

[36]  Thomas A. Bass The Eudaemonic Pie , 1985 .

[37]  Yiwen Gao,et al.  An empirical study of wearable technology acceptance in healthcare , 2015, Ind. Manag. Data Syst..

[38]  Sumeet Gupta,et al.  Value-based Adoption of Mobile Internet: An empirical investigation , 2007, Decis. Support Syst..

[39]  S. S. Man,et al.  Health monitoring through wearable technologies for older adults: Smart wearables acceptance model. , 2019, Applied ergonomics.

[40]  Rathindra Sarathy,et al.  The role of affect and cognition on online consumers' decision to disclose personal information to unfamiliar online vendors , 2011, Decis. Support Syst..

[41]  Liang-Hong Wu,et al.  Exploring consumers' intention to accept smartwatch , 1970, Comput. Hum. Behav..

[42]  Angappa Gunasekaran,et al.  Vision, applications and future challenges of Internet of Things: A bibliometric study of the recent literature , 2016, Ind. Manag. Data Syst..

[43]  Rosa Maria Dangelico,et al.  Smart wearable technologies: state of the art and evolution over time through patent analysis and clustering , 2018 .

[44]  Ming Liu,et al.  Sensor-based human activity recognition system with a multilayered model using time series shapelets , 2015, Knowl. Based Syst..

[45]  Jan Van den Bulck Sleep apps and the quantified self: blessing or curse? , 2015 .

[46]  A. Muaremi,et al.  Towards Measuring Stress with Smartphones and Wearable Devices During Workday and Sleep , 2013, BioNanoScience.

[47]  Christopher M. Schlick,et al.  Safety-Enhancing Locating Wearables on Passenger Ships: Privacy and Security Perceptions by the Elderly , 2016, HCC.

[48]  Abdelsalam H. Busalim,et al.  Understanding social commerce: A systematic literature review and directions for further research , 2016, Int. J. Inf. Manag..

[49]  Pearl Brereton,et al.  Performing systematic literature reviews in software engineering , 2006, ICSE.

[50]  Wasif Afzal,et al.  Knowledge transfer challenges and mitigation strategies in global software development - A systematic literature review and industrial validation , 2013, Int. J. Inf. Manag..

[51]  Nilmini Wickramasinghe,et al.  Developing a BPI framework and PAM for SMEs , 2007, Ind. Manag. Data Syst..

[52]  Gerd Kortuem,et al.  Smart objects as building blocks for the Internet of things , 2010, IEEE Internet Computing.

[53]  Kenji Suzuki,et al.  FaceLooks: A Smart Headband for Signaling Face-to-Face Behavior , 2018, Sensors.

[54]  Munkee Choi,et al.  User acceptance of wearable devices: An extended perspective of perceived value , 2016, Telematics Informatics.

[55]  Tiago Oliveira,et al.  A weight and a meta-analysis on mobile banking acceptance research , 2016, Comput. Hum. Behav..

[56]  Christopher M. Schlick,et al.  Development and validation of a technology acceptance model for safety-enhancing, wearable locating systems , 2016, Behav. Inf. Technol..

[57]  Enzo Pasquale Scilingo,et al.  Affective computing in virtual reality: emotion recognition from brain and heartbeat dynamics using wearable sensors , 2018, Scientific Reports.

[58]  Giovanni Saggio,et al.  Wearable-based electronics to objectively support diagnosis of motor impairments in school-aged children. , 2019, Journal of biomechanics.

[59]  Stefan Manuel Neis,et al.  Feasibility analysis of wearables for use by airline crew , 2016, 2016 IEEE/AIAA 35th Digital Avionics Systems Conference (DASC).

[60]  Yogesh Kumar Dwivedi,et al.  A meta-analysis of existing research on citizen adoption of e-government , 2013, Information Systems Frontiers.

[61]  Philip E. T. Lewis,et al.  Research Methods for Business Students , 2006 .

[62]  Il Im,et al.  An international comparison of technology adoption: Testing the UTAUT model , 2011, Inf. Manag..

[63]  Ritu Agarwal,et al.  The Digitization of Healthcare: Boundary Risks, Emotion, and Consumer Willingness to Disclose Personal Health Information , 2011, Inf. Syst. Res..

[64]  Dan Nathan-Roberts,et al.  How Fitness Trackers Facilitate Health Behavior Change , 2016 .

[65]  Sumin Helen Koo,et al.  Design factors and preferences in wearable soft robots for movement disabilities , 2018, International Journal of Clothing Science and Technology.

[66]  Sven Casteleyn,et al.  E-participation adoption models research in the last 17 years: A weight and meta-analytical review , 2018, Comput. Hum. Behav..

[67]  Andrea Aliverti,et al.  Wearable technology: role in respiratory health and disease , 2017, Breathe.

[68]  Seongcheol Kim,et al.  Is the smartwatch an IT product or a fashion product? A study on factors affecting the intention to use smartwatches , 2016, Comput. Hum. Behav..

[69]  Sungjoo Hwang,et al.  What drives construction workers' acceptance of wearable technologies in the workplace?: Indoor localization and wearable health devices for occupational safety and health , 2017 .

[70]  R. Sickles,et al.  An International Comparison of Technology Adoption and Efficiency: A Dynamic Panel Model , 1999 .

[71]  Abdurrahman Tufan,et al.  Detection of Familial Mediterranean Fever attacks by using a connected activity tracker and assessment of impact of attacks to daily physical activities: a pilot study , 2019, Clinical Rheumatology.

[72]  Thurasamy Ramayah,et al.  Wearable technologies: The role of usefulness and visibility in smartwatch adoption , 2016, Comput. Hum. Behav..

[73]  Roque Marín,et al.  Monitoring elderly people at home with temporal Case-Based Reasoning , 2017, Knowl. Based Syst..

[74]  Susan Elias,et al.  Probabilistic ontology based activity recognition in smart homes using Markov Logic Network , 2017, Knowl. Based Syst..

[75]  Moritz Becker,et al.  Understanding Users' Health Information Privacy Concerns for Health Wearables , 2018, HICSS.

[76]  Payam Hanafizadeh,et al.  A systematic review of Internet banking adoption , 2014, Telematics Informatics.

[77]  Imran Ghani,et al.  A confirmatory factor analysis of the behavioral intention to use smart wellness wearables in Malaysia , 2019, Universal Access in the Information Society.

[78]  Efraim Turban,et al.  Introduction to the Special Issue Social Commerce: A Research Framework for Social Commerce , 2011, Int. J. Electron. Commer..

[79]  Zoran A. Salcic,et al.  Enhancing ontological reasoning with uncertainty handling for activity recognition , 2016, Knowl. Based Syst..

[80]  Robin Wright,et al.  Wearable Technology: If the Tech Fits, Wear It , 2014 .

[81]  Ana Viseu,et al.  Social dimensions of wearable computers: an overview , 2003 .

[82]  Woodrow Barfield,et al.  Basic Concepts in Wearable Computers and Augmented Reality , 2001 .

[83]  Mary Beth Rosson,et al.  The personalization privacy paradox: An exploratory study of decision making process for location-aware marketing , 2011, Decis. Support Syst..

[84]  Trisha Greenhalgh,et al.  Storylines of research in diffusion of innovation: a meta-narrative approach to systematic review. , 2005, Social science & medicine.

[85]  H BusalimAbdelsalam,et al.  Understanding social commerce , 2016 .

[86]  Keng Siau,et al.  Factors Influencing the Adoption of Smart Wearable Devices , 2018, Int. J. Hum. Comput. Interact..

[87]  Stephen B. Gilbert,et al.  Fashion and Technology: Implications for the Social Acceptability of a Wearable Device , 2017, HCI.

[88]  Devendra Potnis,et al.  Students' intention to adopt Internet-based personal safety wearable devices: Extending UTAUT with trusting belief , 2017, First Monday.

[89]  Jerry Chih-Yuan Sun,et al.  Effect of AR-based online wearable guides on university students’ situational interest and learning performance , 2017, Universal Access in the Information Society.

[90]  Pasi Liljeberg,et al.  Feasibility of smart wristbands for continuous monitoring during pregnancy and one month after birth , 2019, BMC Pregnancy and Childbirth.

[91]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[92]  Xuemei Zhang,et al.  Understanding the Adoption of Smart Wearable Devices to Assist Healthcare in China , 2016, I3E.

[93]  Halley Profita,et al.  The AT Effect: How Disability Affects the Perceived Social Acceptability of Head-Mounted Display Use , 2016, CHI.

[94]  R. Laufer,et al.  Privacy as a Concept and a Social Issue: A Multidimensional Developmental Theory , 1977 .

[95]  Sungmee Park,et al.  Smart Textiles: Wearable Electronic Systems , 2003 .

[96]  Yiwen Gao,et al.  International Journal of Medical Informatics , 2016 .

[97]  Dong-Hee Shin,et al.  An acceptance model for smart watches: Implications for the adoption of future wearable technology , 2015, Internet Res..

[98]  Robert Steele,et al.  Elderly persons' perception and acceptance of using wireless sensor networks to assist healthcare , 2009, Int. J. Medical Informatics.

[99]  Steve Mann,et al.  Smart clothing: the shift to wearable computing , 1996, CACM.

[100]  Athanasios V. Vasilakos,et al.  A knowledge-based resource discovery for Internet of Things , 2016, Knowl. Based Syst..

[101]  Nabil Ahmed Sultan,et al.  Reflective thoughts on the potential and challenges of wearable technology for healthcare provision and medical education , 2015, Int. J. Inf. Manag..

[102]  A. Canhoto,et al.  Exploring the factors that support adoption and sustained use of health and fitness wearables , 2017 .

[103]  Koen Milisen,et al.  Attitudes and perceptions of adults of 60 years and older towards in-home monitoring of the activities of daily living with contactless sensors: an explorative study. , 2014, International journal of nursing studies.

[104]  Beomjin Choi,et al.  Domain-specific innovativeness and new product adoption: A case of wearable devices , 2017, Telematics Informatics.

[105]  Gibran Sales Nunes,et al.  Consumer behavior regarding wearable technologies: Google Glass , 2018, Innovation & Management Review.

[106]  Fred D. Davis User Acceptance of Information Technology: System Characteristics, User Perceptions and Behavioral Impacts , 1993, Int. J. Man Mach. Stud..

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

[108]  Matt Bower,et al.  What are the educational affordances of wearable technologies? , 2015, Comput. Educ..

[109]  Bertil J Veenstra,et al.  Sleep monitoring: a comparison between three wearable instruments. , 2011, Military medicine.

[110]  Sharon Lynn Chu Yew Yee,et al.  Wearables for Learning: Examining the Smartwatch as a Tool for Situated Science Reflection , 2018, CHI.