Exploring adoption of augmented reality smart glasses: Applications in the medical industry

Nuri BASOGLU , Muge GOKEN , Marina DABIC , Dilek OZDEMIR GUNGOR , Tugrul U. DAIM

Front. Eng ›› 2018, Vol. 5 ›› Issue (2) : 167 -181.

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Front. Eng ›› 2018, Vol. 5 ›› Issue (2) : 167 -181. DOI: 10.15302/J-FEM-2018056
RESEARCH ARTICLE
RESEARCH ARTICLE

Exploring adoption of augmented reality smart glasses: Applications in the medical industry

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Abstract

This study explores the use of augmented reality smart glasses (ARSGs) by physicians and their adoption of these products in the Turkish medical industry. Google Glass was used as a demonstrative example for the introduction of ARSGs. We proposed an exploratory model based on the technology acceptance model by Davis. Exogenous factors in the model were defined by performing semi-structured in-depth interviews, along with the use of an expert panel in addition to the technology adoption literature. The framework was tested by means of a field study, data was collected via an Internet survey, and path analysis was used. The results indicate that there were a number of factors to be considered in order to understand ARSG adoption by physicians. Usefulness was influenced by ease of use, compatibility, ease of reminding, and speech recognition, while ease of use was affected by ease of learning, ease of medical education, external influence, and privacy. Privacy was the only negative factor that reduced the perceived ease of use, and was found to indirectly create a negative attitude. Compatibility emerged as the most significant external factor for usefulness. Developers of ARSGs should pay attention to healthcare-specific requirements for improved utilization and more extensive adoption of ARSGs in healthcare settings. In particular, they should focus on how to increase the compatibility of ARSGs. Further research needs to be conducted to explain the adoption intention of physicians.

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technology adoption / augmented reality smart glasses (ARSGs) / healthcare

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Nuri BASOGLU, Muge GOKEN, Marina DABIC, Dilek OZDEMIR GUNGOR, Tugrul U. DAIM. Exploring adoption of augmented reality smart glasses: Applications in the medical industry. Front. Eng, 2018, 5(2): 167-181 DOI:10.15302/J-FEM-2018056

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References

[1]

Adapa A, Nah F F H, Hall R H, Siau K, Smith S N (2017). Factors influencing the adoption of smart wearable devices. International Journal of Human-Computer Interaction, 1–11 (in press)

[2]

Aggelidis V P, Chatzoglou P D (2009). Using a modified technology acceptance model in hospitals. International Journal of Medical Informatics, 78(2): 115–126

[3]

Aldaz G, Shluzas L A, Pickham D, Eris O, Sadler J, Joshi S, Leifer L (2015). Hands-free image capture, data tagging and transfer using Google Glass: A pilot study for improved wound care management. PLoS One, 10(4): e0121179

[4]

Amft O, Wahl F, Ishimaru S, Kunze K (2015). Making regular eyeglasses smart. IEEE Pervasive Computing, 14(3): 32–43

[5]

Armstrong D G, Rankin T M, Giovinco N A, Mills J L, Matsuoka Y (2014). A heads-up display for diabetic limb salvage surgery: A view through the google looking glass. Journal of Diabetes Science and Technology, 8(5): 951–956

[6]

Arregui M E, Schirmer B D, Minter R M (2013). General surgery residency inadequately prepares trainees for fellowship: Results of a survey of fellowship program directors. Annals of Surgery, 258(3): 440–449

[7]

Balka E, Doyle-Waters M, Lecznarowicz D, FitzGerald J M (2007). Technology, governance and patient safety: Systems issues in technology and patient safety. International Journal of Medical Informatics, 76(Suppl 1): S35–S47

[8]

Basoglu N, Ok A E, Daim T U (2017). What will it take to adopt smart glasses: A consumer choice based review? Technology in Society, 50: 50–56

[9]

Bates D W, Gawande A A (2003). Improving safety with information technology. New England Journal of Medicine, 348(25): 2526–2534

[10]

Bhattacherjee A (2000). Acceptance of e-commerce services: The case of electronic brokerages. IEEE Transactions on Systems, Man, and Cybernetics. Part A, Systems and Humans, 30(4): 411–420

[11]

Black A D, Car J, Pagliari C, Anandan C, Cresswell K, Bokun T, McKinstry B, Procter R, Majeed A, Sheikh A (2011). The impact of ehealth on the quality and safety of health care: A systematic overview. PLoS Medicine, 8(1): e1000387

[12]

Blanchard A, Prior F, Barton J (2016). Barriers in new health and social care technology implementation in the United Kingdom, a case study. In: Proceedings of 9th International Conference on Developments in eSystems Engineering (DeSE). Liverpool: IEEE, 62–67

[13]

Borchers C (2014). Google Glass embraced at Beth Israel Deaconess.

[14]

Borgmann H, Rodríguez Socarrás M, Salem J, Tsaur I, Gomez Rivas J, Barret E, Tortolero L (2017). Feasibility and safety of augmented reality-assisted urological surgery using smartglass. World Journal of Urology, 35(6): 967–972

[15]

Burda D, Teuteberg F (2014). The role of trust and risk perceptions in cloud archiving—Results from an empirical study. Journal of High Technology Management Research, 25(2): 172–187

[16]

Chang J Y C, Tsui L Y, Yeung K S K, Yip S W Y, Leung G K K (2016). Surgical vision: Google Glass and surgery. Surgical Innovation, 23(4): 422–426

[17]

Chau P Y, Hu P J H (2002a). Investigating healthcare professionals’ decisions to accept telemedicine technology: An empirical test of competing theories. Information & Management, 39(4): 297–311

[18]

Chau P Y, Hu P J (2002b). Examining a model of information technology acceptance by individual professionals: An exploratory study. Journal of Management Information Systems, 18(4): 191–229

[19]

Chi E H, Song J, Corbin G (2004). “Killer App” of wearable computing: Wireless force sensing body protectors for martial arts. In: Proceedings of the 17th annual ACM symposium on User interface software and technology. Santa Fe: ACM, 277–285

[20]

Chi H L, Kang S C, Wang X (2013). Research trends and opportunities of augmented reality applications in architecture, engineering, and construction. Automation in Construction, 33: 116–122

[21]

Daim T U, Basoglu N, Topacan U (2013). Adoption of health information technologies: The case of a wireless monitor for diabetes and obesity patients. Technology Analysis and Strategic Management, 25(8): 923–938

[22]

Davis C R, Rosenfield L K (2015). Looking at plastic surgery through Google Glass: Part 1. Systematic review of Google Glass evidence and the first plastic surgical procedures. Plastic and Reconstructive Surgery, 135(3): 918–928

[23]

Davis F D (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. Management Information Systems Quarterly, 13(3): 319–340

[24]

Davis F D, Bagozzi R P, Warshaw P R (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8): 982–1003

[25]

Denning T, Dehlawi Z, Kohno T (2014). In situ with bystanders of augmented reality glasses: Perspectives on recording and privacy-mediating technologies . In: Proceedings of the 32nd Annual ACM Conference on Human Factors in Computing Systems. Toronto: ACM, 2377–2386

[26]

Ducey A J, Coovert M D (2016). Predicting tablet computer use: An extended technology acceptance model for physicians. Health Policy and Technology, 5(3): 268–284

[27]

Due B L (2014). The future of smart glasses: An essay about challenges and possibilities with smart glasses . Working Papers on Interaction and Communication, 1(2): 1–21

[28]

Dünnebeil S, Sunyaev A, Blohm I, Leimeister J M, Krcmar H (2012). Determinants of physicians’ technology acceptance for e-health in ambulatory care. International Journal of Medical Informatics, 81(11): 746–760

[29]

Eden K B, Totten A M, Kassakian S Z, Gorman P N, McDonagh M S, Devine B, Pappas M, Daeges M, Woods S, Hersh W R (2016). Barriers and facilitators to exchanging health information: A systematic review. International Journal of Medical Informatics, 65(2): 141–149

[30]

Elder S, Vakaloudis A (2015). Towards uniformity for smart glasses devices: An assessment of function as the driver for standardisation . In: Proceedings of 2015 IEEE International Symposium on Technology and Society (ISTAS). Dublin: IEEE, 1–7

[31]

Galletta D F, Dunn B K (2014). Assessing smartphone ease of use and learning from the perspective of novice and expert users: Development and illustration of mobile benchmark tasks. AIS Transactions on Human-Computer Interaction, 6(4): 74–91

[32]

Gefen D, Straub D W (2000). The relative importance of perceived ease of use in is adoption: A study of e-commerce adoption . Journal of the Association for Information Systems, 1(8): 1–28

[33]

Goodhue D L, Thompson R L (1995). Task-technology fit and individual performance. Management Information Systems Quarterly, 19(2): 213–236

[34]

Greer A L (1985). Adoption of medical technology. International Journal of Technology Assessment in Health Care, 1(3): 669–680

[35]

Gregg H (2014a). 5 Hospitals Usinig, Piloting Google Glass. Becker’s Health IT & CIO Review.

[36]

Gregg H (2014b). Why Hospitals are Hesitant to Use Google Glass. Becker’s Health IT & CIO Review.

[37]

Hadji B, Martin G, Dupuis I, Campoy E, Degoulet P (2016). 14 years longitudinal evaluation of clinical information systems acceptance: The HEGP case. International Journal of Medical Informatics, 86: 20–29

[38]

Hein D W E, Rauschnabel P A (2016). Augmented reality smart glasses and knowledge management: A conceptual framework for enterprise social networks . In: Rossmann A, Stei G, Besch M, eds. Enterprise Social Networks. Wiesbaden: Springer, 83–109

[39]

Hofmann B, Haustein D, Landeweerd L (2017). Smart-glasses: Exposing and elucidating the ethical issues. Science and Engineering Ethics, 23(3): 701–721

[40]

Holahan P J, Lesselroth B J, Adams K, Wang K, Church V (2015). Beyond technology acceptance to effective technology use: A parsimonious and actionable model. Journal of the American Medical Informatics Association, 22(3): 718–729

[41]

Holden R J, Karsh B T (2010). The technology acceptance model: Its past and its future in health care. Journal of Biomedical Informatics, 43(1): 159–172

[42]

Huang W M, Chen T, Hsieh C W (2014). An empirical study on the physicians’ behavioral intention with electronic medical record systems in Taiwan. PACIS 2014 Proceedings, 160

[43]

Hurst M (2013). The Google Glass feature no one is talking about. Creative Good.

[44]

Jung T, Han D-I (2014). Augmented reality (AR) in urban heritage tourism. E-Review of Tourism Research, 1–6

[45]

Kalantari M, Rauschnabel P (2018). Exploring the early adopters of augmented reality smart glasses: The case of Microsoft HoloLens. In: Jung T, tom Dieck M, eds. Augmented Reality and Virtual Reality. Cham: Springer, 229–245

[46]

Kalantarian H, Motamed B, Alshurafa N, Sarrafzadeh M (2016). A wearable sensor system for medication adherence prediction. Artificial Intelligence in Medicine, 69: 43–52

[47]

Kaushik P, Intille S, Larson K (2008). User-adaptive reminders for home-based medical tasks. Methods of Information in Medicine, 47(3): 203–207

[48]

Kawai J, Mitsuhara H, Shishibori M (2015). Tsunami evacuation drill system using smart glasses. Procedia Computer Science, 72: 329–336

[49]

Khor W S, Baker B, Amin K, Chan A, Patel K, Wong J (2016). Augmented and virtual reality in surgery—The digital surgical environment: Applications, limitations and legal pitfalls. Annals of Translational Medicine, 4(23): 454–463

[50]

Lapointe L, Rivard S (2005). A multilevel model of resistance to information technology implementation. Management Information Systems Quarterly, 29(3): 461–491

[51]

Li L (2010). A critical review of technology acceptance literature.

[52]

Lin C, Lin I C, Roan J (2012). Barriers to physicians’ adoption of healthcare information technology: An empirical study on multiple hospitals. Journal of Medical Systems, 36(3): 1965–1977

[53]

Liu L, Ma Q (2005). The impact of service level on the acceptance of application service oriented medical records. Information & Management, 42(8): 1121–1135

[54]

Lluch M (2011). Healthcare professionals’ organisational barriers to health information technologies—A literature review. International Journal of Medical Informatics, 80(12): 849–862

[55]

Lv Z, Feng S, Feng L, Li H (2015). Extending touch-less interaction on vision based wearable device . In: Proceedings of 2015 IEEE Virtual Reality (VR). Arles: IEEE, 19(3–4): 231–232

[56]

Madden T J, Ellen P S, Ajzen I (1992). A comparison of the theory of planned behavior and the theory of reasoned action. Personality and Social Psychology Bulletin, 18(1): 3–9

[57]

Marangunić N, Granić A (2015). Technology acceptance model: A literature review from 1986 to 2013. Universal Access in the Information Society, 14(1): 81–95

[58]

Mathad Y, Karnam S (2014). Android based patient critical health monitoring and notification system . International Journal of Engineering and Computer Science, 3(6): 6627–6630

[59]

Mattar S G, Alseidi A A, Jones D B, Jeyarajah D R, Swanstrom L L, Aye R W, Wexner S D, Martinez J M, Ross S B, Awad M M, Franklin M E, Arregui M E, Schirmer B D, Minter R M (2013). General surgery residency inadequately prepares trainees for fellowship: Results of a survey of fellowship program directors. Annals of Surgery, 258(3): 440–449

[60]

May C, Gask L, Atkinson T, Ellis N, Mair F, Esmail A (2001). Resisting and promoting new technologies in clinical practice: The case of telepsychiatry. Social Science & Medicine, 52(12): 1889–1901

[61]

McGinn C A, Grenier S, Duplantie J, Shaw N, Sicotte C, Mathieu L, Leduc Y, Légaré F, Gagnon M P (2011). Comparison of user groups’ perspectives of barriers and facilitators to implementing electronic health records: A systematic review. BMC Medicine, 9(1): 46

[62]

McMullen P C, Howie W O, Philipsen N, Bryant V C, Setlow P D, Calhoun M, Green Z D (2014). Electronic medical records and electronic health records: Overview for nurse practitioners. Journal for Nurse Practitioners, 10(9): 660–665

[63]

Menachemi N, Collum T H (2011). Benefits and drawbacks of electronic health record systems. Risk Management and Healthcare Policy, 4: 47–55

[64]

Mitrasinovic S, Camacho E, Trivedi N, Logan J, Campbell C, Zilinyi R, Lieber B, Bruce E, Taylor B, Martineau D, Dumont E L P, Appelboom G, Connolly Jr E S (2015). Clinical and surgical applications of smart glasses. Technology and Health Care, 23(4): 381–401

[65]

Monroy G L, Shemonski N D, Shelton R L, Nolan R M, Boppart S A (2014). Implementation and evaluation of google glass for visualizing real-time image and patient data in the primary care office. Proceedings of the SPIE, International Society for Optics and Photonics, 8935: 893514

[66]

Moshtaghi O, Kelley K S, Armstrong W B, Ghavami Y, Gu J, Djalilian H R (2015). Using Google Glass to solve communication and surgical education challenges in the operating room. Laryngoscope, 125(10): 2295–2297

[67]

Muensterer O J, Lacher M, Zoeller C, Bronstein M, Kübler J (2014). Google Glass in pediatric surgery: An exploratory study. International Journal of Surgery, 12(4): 281–289

[68]

Nambu R, Kimoto T, Morita T, Yamaguchi T (2016). Integrating smart glasses with question-answering module in assistant work environment. Procedia Computer Science, 96: 1772–1781

[69]

Nasir S, Yurder Y (2015). Consumers’ and physicians’ perceptions about high tech wearable health products. Procedia: Social and Behavioral Sciences, 195: 1261–1267

[70]

Ndubisi N O, Jantan M, Richardson S (2001). Is the technology acceptance model valid for entrepreneurs? Model testing and examining usage determinants. Asian Academy of Management Journal, 6(2): 31–54

[71]

Nguyen L, Bellucci E, Nguyen L T (2014). Electronic health records implementation: An evaluation of information system impact and contingency factors. International Journal of Medical Informatics, 83(11): 779–796

[72]

Nisbet M C, Scheufele D A, Shanahan J, Moy P, Brossard D, Lewenstein B V (2002). Knowledge, reservations, or promise? A media effects model for public perceptions of science and technology. Communication Research, 29(5): 584–608

[73]

Peck J L, Stanton M, Reynolds G E (2014). Smartphone preventive health care: Parental use of an immunization reminder system. Journal of Pediatric Health Care, 28(1): 35–42

[74]

Pedersen P E, Ling R (2003). Modifying adoption research for mobile internet service adoption: Cross-disciplinary interactions. In: Proceedings of the 36th Annual Hawaii International Conference on System Sciences. Big Island: IEEE, 10

[75]

Pham L L N (2014). The role of early purchasing involvement in innovative projects at public research institutes. In: Proceedings of 3rd IBA Bachelor Thesis Conference. Enschede: University of Twente

[76]

Pillai P, Healthcare N (2014). Google Glass changing the face of medicine. In: Proceedings of Arab health Conference

[77]

Quint F, Loch F (2015). Using smart glasses to document maintenance processes . In: Proceedings of Mensch and Computer 2015, Workshop: Smart Factories. Stuttgart, 203–208

[78]

Rauschnabel P A, Brem A, Ivens B S (2015). Who will buy smart glasses? Empirical results of two pre-market-entry studies on the role of personality in individual awareness and intended adoption of Google Glass wearables. Computers in Human Behavior, 49: 635–647

[79]

Rauschnabel P A, Ro Y K (2016). Augmented reality smart glasses: An investigation of technology acceptance drivers. International Journal of Technology Marketing, 11(2): 123–148

[80]

Roesler P (2015). How social media influences consumer buying decisions. Biz Journals.

[81]

Rogers E M, Shoemaker F (1983). Diffusion of innovation, A Cross-Cultural Approach . New York: The Free Press

[82]

Rogers E M, Shoemaker F F (1971). Communication of Innovations. A Cross-Cultural Approach . 2nd ed. New York: The Free Press

[83]

Ruminski J, Bujnowski A, Kocejko T, Andrushevich A, Biallas M, Kistler R (2016). The data exchange between smart glasses and healthcare information systems using the HL7 FHIR standard . In: Proceedings of 2016 9th International Conference on Human System Interactions (HSI). IEEE, 525–531

[84]

Salameh O (2012). A mobile phone sms-based system for diabetes self management . International Arab Journal of e-Technology, 2(3): 161–166

[85]

Sanchez G (2013). PLS path modeling with R . Berkeley: Trowchez Editions.

[86]

Sedarati P, Baktash A (2017). Adoption of smart glasses in smart tourism destination: A system thinking approach . In: Proceedings of 2017 TTRA International Conference

[87]

Serra G, Camurri M, Baraldi L, Benedetti M, Cucchiara R (2013). Hand segmentation for gesture recognition in EGO-vision . In: Proceedings of the 3rd ACM International Workshop on Interactive Multimedia on Mobile & Portable Devices. Barcelona: ACM, 31–36

[88]

Stock B, dos Santos Ferreira T P, Ernst C P H (2016). Does perceived health risk influence smartglasses usage ? In: Ernst C P, ed. The Drivers of Wearable Device Usage. Cham: Springer, 13–23

[89]

Sultan N (2015). Reflective thoughts on the potential and challenges of wearable technology for healthcare provision and medical education. International Journal of Information Management, 35(5): 521–526

[90]

tom Dieck M C, Jung T, Han D I (2016). Mapping requirements for the wearable smart glasses augmented reality museum application. Journal of Hospitality and Tourism Technology, 7(3): 230–253

[91]

Tully J, Dameff C, Kaib S, Moffitt M (2015). Recording medical students’ encounters with standardized patients using Google Glass: Providing end-of-life clinical education. Academic Medicine, 90(3): 314–316

[92]

Varabyova Y, Blankart C R, Greer A L, Schreyögg J (2017). The determinants of medical technology adoption in different decisional systems: A systematic literature review. Health Policy (Amsterdam), 121(3): 230–242

[93]

Venkatesh V, Morris M G, Davis G B, Davis F D (2003). User acceptance of information technology: Toward a unified view. Management Information Systems Quarterly, 27(3): 425–478

[94]

Wang C H (2015). A market-oriented approach to accomplish product positioning and product recommendation for smart phones and wearable devices. International Journal of Production Research, 53(8): 2542–2553

[95]

Wasik B (2013). Why wearable tech will be as big as the smartphone. Wired.

[96]

Weiz D, Anand G, Ernst C P H (2016). The influence of subjective norm on the usage of smart glasses. In: Ernst C P, ed. The Drivers of Wearable Device Usage. Cham: Springer, 1–11

[97]

Wu J H, Wang S C, Lin L M (2007). Mobile computing acceptance factors in the healthcare industry: A structural equation model. International Journal of Medical Informatics, 76(1): 66–77

[98]

Yarbrough A K, Smith T B (2007). Technology acceptance among physicians: A new take on tam. Medical Care Research and Review: MCRR, 64(6): 650–672

[99]

Yu P, Li H, Gagnon M P (2009). Health it acceptance factors in long-term care facilities: A cross-sectional survey. International Journal of Medical Informatics, 78(4): 219–229

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