A psychotechnological review on eye-tracking systems: towards user experience

References

• Garrett JJ. The elements of user experience: user-centered design for the web. New York, NY: New Riders Press; 2003.
   Google Scholar
• Federici S, Corradi F, Mele ML, Miesenberger K. From cognitive ergonomist to psychotechnologist: a new professional profile in a multidisciplinary team in a centre for technical aids. In: Gelderblom GJ, Soede M, Adriaens L, Miesenberger K, editors. Everyday technology for independence and care: AAATE 2011. Amsterdam, NL: IOS Press; 2011. pp 1178–1184. DOI: 10.3233/978-1-60750-814-4-1178
   Google Scholar
• Meloni F, Federici S, Stella A. The psychologist’s role: a neglected presence in the assistive technology assessment process. In: Gelderblom GJ, Soede M, Adriaens L, Miesenberger K, editors. Everyday technology for independence and care: AAATE 2011. Amsterdam, NL: IOS Press; 2011. pp 1199–1206. DOI: 10.3233/978-1-60750-814-4-1199
   Google Scholar
• Meloni F, Federici S, Stella A, Mazzeschi C, Cordella B, Greco F, et al. The Psychologist. In: Federici S, Scherer MJ, editors. Assistive technology assessment: a handbook for professionals in disability, rehabilitation and health professions. London, UK: CRC Press; 2012.
   Google Scholar
• Javal E. Essay on the physiology of reading. Ophthalmic Physiol Opt 1990;10:381–384.
   PubMedGoogle Scholar
• Huey EB. The psychology and pedagogy of reading. Cambridge, MA: MIT Press; 1968.
   Google Scholar
• Dodge R, Cline TS. The angle velocity of eye movements. Psychol Rev 1901;8:145–157. DOI:10.1037/h0076100
   Web of Science ®Google Scholar
• Dix A, Finlay J, Abowd GD, Beale R. Human-computer interaction. Harlow, UK: Pearson Education; 2004.
   Google Scholar
• Cornsweet TN, Crane HD. Accurate two-dimensional eye tracker using first and fourth Purkinje images. J Opt Soc Am 1973;63:921–928.
   PubMed Web of Science ®Google Scholar
• Just MA, Carpenter PA. Eye fixations and cognitive processes. Report. Pittsburgh, PA: Carnegie-Mellon University, Department of Psychology; 1975.
   Google Scholar
• Card SK. Visual search of computer command menus. In: Bouma H, Bouwhuis DG, editors. Attention and performance X, control of language processes. Hillsdale, NJ: Lawrence Erlbaum Associates; 1984. pp 97–108.
   Google Scholar
• Ellis S, Candrea R, Misner J, Craig CS, Lankford CP. Windows to the soul? What eye movements tell us about software usability. 7th Annual Conference of the Usability Professionals Association Conference: UPA’98; 22–26 Jun 1998; Washington, DC: UPA Press; 1998. pp 151–178.
   Google Scholar
• Jay C, Stevens R, Glencross M, Chalmers A, Yang C. How people use presentation to search for a link: expanding the understanding of accessibility on the web. Univ Access Inf Soc 2007;6:307–320. DOI: 10.1007/s10209-007-0089-5
   Google Scholar
• Nielsen J, Pernice K. Eyetracking web usability. Berkeley, CA: New Riders; 2009.
   Google Scholar
• Starker I, Bolt RA. A gaze-responsive self-disclosing display. SIGCHI conference on human factors in computing systems: empowering people: CHI’90; 1–5 Apr 1990; Seattle, WA: ACM; 1990. pp 3–9. DOI:10.1145/97243.97245
   Google Scholar
• Jacob RJK. The use of eye movements in human-computer interaction techniques: what you look at is what you get. TOIS 1991;9:152–169. DOI: 10.1145/123078.128728
   Google Scholar
• Zhai S, Morimoto C, Ihde S. Manual and gaze input cascaded (MAGIC) pointing. SIGCHI conference on human factors in computing systems: CHI’99; 15–20 May 1999; Pittsburgh, PA: ACM; 1999. pp 246–253. DOI: 10.1145/302979.303053
   Google Scholar
• National Joint Committee for the Communication Needs of Persons With Severe Disabilities. Supporting documentation for the position statement on access to communication services and supports: concerns regarding the application of restrictive “eligibility” policies. Comm Dis Q 2002;23:143–151. DOI: 10.1177/15257401020230030401
   Google Scholar
• Stanca Law. Law n. 4: Provisions to support the access to information technologies for the disabled. Official Gazette of Italian Republic, n. 13 on 17 January 2004. <http://www.pubbliaccesso.gov.it/normative/law_20040109_n4.htm>.
   Google Scholar
• Federici S, Scherer MJ., Preface. In: Federici S, Scherer MJ, editors. Assistive technology assessment: a handbook for professionals in disability, rehabilitation and health professions. London, UK: CRC Press; 2012.
   Google Scholar
• Miesenberger K, Corradi F, Mele ML. The Psychotechnologist: a new profession in the assistive technology assessment. In: Federici S, Scherer MJ, editors. Assistive technology assessment: a handbook for professionals in disability, rehabilitation and health professions. London, UK: CRC Press; 2012.
   Google Scholar
• Federici S, Stefano F, Borsci S, Stamerra G. Web usability evaluation with screen reader users: implementation of the partial concurrent thinking aloud technique. Cogn Process 2010;11:263–272.
   PubMedGoogle Scholar
• Federici S, Borsci S. Usability evaluation: models, methods, and applications. In: Stone J, Blouin M, editors. International encyclopedia of rehabilitation. Buffalo, NY: Center for International Rehabilitation Research Information and Exchange (CIRRIE); 2010. pp 1–17.
   Google Scholar
• Federici S, Borsci S, Mele ML. Usability evaluation with screen reader users: a video presentation of the PCTA’s experimental setting and rules. Cogn Process 2010;11:285–288.
   PubMedGoogle Scholar
• Federici S, Micangeli A, Ruspantini I, Borgianni S, Corradi F, Pasqualotto E, Olivetti Belardinelli M. Checking an integrated model of web accessibility and usability evaluation for disabled people. Disabil Rehabil 2005;27:781–790.
   PubMed Web of Science ®Google Scholar
• Borsci S, Kurosu M, Federici S, Mele ML. Computer systems experiences of users with and without disabilities: an evaluation guide for professionals. London, UK: CRC Press, in press.
   Google Scholar
• Borsci S, Kurosu M, Federici S, Mele ML. Systemic user experience. In: Federici S, Scherer MJ, editors. Assistive technology assessment: a handbook for professionals in disability, rehabilitation and health professions. London, UK: CRC Press; 2012.
   Google Scholar
• Beach G, Cohen CJ, Braun J, Moody G. Eye tracker system for use with head mounted displays. IEEE International Conference on Systems, Man, and Cybernetics: SMC’98; 11–14 Oct 1998; San Diego, CA; 1998. pp 4348–4352. DOI: 10.1109/ICSMC.1998.727531
   Google Scholar
• Kawato S, Tetsutani N. Real-time detection of between-the-eyes with a circle frequency filter. 5th Asian Conference on Computer Vision: ACCV’02; 23–25 Jan 2002; Melbourne, AU; 2002. pp 442–447.
   Google Scholar
• Bhaskar TN, Foo Tun K, Ranganath S, Venkatesh YV. Blink detection and eye tracking for eye localization. Conference on Convergent Technologies for Asia-Pacific Region: TENCON’03; 15–17 Oct 2003; Bangalore, IN; 2003. pp 821–824. DOI: 10.1109/TENCON.2003.1273293
   Google Scholar
• Amarnag S, Kumaran RS, Gowdy JN. Real time eye tracking for human computer interfaces. International Conference on Multimedia and Expo: ICME’03; 6–9 Jul 2003; Baltimore, MD; 2003. pp 557–560-III. DOI: 10.1109/ICME.2003.1221372
   Google Scholar
• Beymer D, Flickner M. Eye gaze tracking using an active stereo head. IEEE Computer Society Conference on Computer Vision and Pattern Recognition: CVPR’03; 18–20 Jun 2003; Madison, WI; 2003. pp 451–458-II. DOI: 10.1109/CVPR.2003.1211502
   Google Scholar
• Bagci AM, Ansari R, Khokhar A, Cetin E. Eye tracking using Markov models. 17th International Conference on Pattern Recognition: ICPR 2004; 23–26 Aug 2004; Cambridge, UK; 2004. pp 818–821. DOI: 10.1109/ICPR.2004.1334654
   Google Scholar
• Kim SM, Sked M, Ji Q. Non-intrusive eye gaze tracking under natural head movements. 26th Annual International Conference of the IEEE on Engineering in Medicine and Biology Society: IEMBS’04; 1–5 Sep 2004; San Francisco, CA; 2004. pp 2271–2274. DOI: 10.1109/IEMBS.2004.1403660
   Google Scholar
• Haseyama M, Kaneko C. A robust human-eye tracking method in video sequences. 12th IEEE International Conference on Image Processing: ICIP’05; 11–14 Sep 2005; Genoa, IT; 2005. pp 362–365-II. DOI: 10.1109/ICIP.2005.1530067
   Google Scholar
• Zhiwei Z, Qiang J. Eye gaze tracking under natural head movements. IEEE Computer Society Conference on Computer Vision and Pattern Recognition: CVPR’05; 20–25 Jun 2005; San Diego, CA; 2005. pp 918–923. DOI: 10.1109/CVPR.2005.148
   Google Scholar
• Zhiwei Z, Qiang J. Novel eye gaze tracking techniques under natural head movement. IEEE Trans Biomed Eng 2007;54:2246–2260. DOI: 10.1109/TBME.2007.895750
   PubMedGoogle Scholar
• Ying Q, Zhi-Liang W, Ying H. A non-contact eye-gaze tracking system for human computer interaction. International Conference on Wavelet Analysis and Pattern Recognition: ICWAPR’07; 2–4 Nov 2007; Beijing, CN; 2007. pp 68–72. DOI: 10.1109/ICWAPR.2007.4420638
   Google Scholar
• Droege D, Schmidt C, Paulus D. A comparison of pupil centre estimation algorithms. In: Istance H, Stepankova O, Bates R, editors. Proceedings of communication, environment and mobility control by gaze: COGAIN’08; 2–3 Sep 2008; Prague, Czech Republic; 2008. pp 23–26.
   Google Scholar
• Figueira MV, de Azevedo DFG, Russomano T, Lilienthal RF. Evaluation tests for eye tracking systems. 30th Annual International Conference of the IEEE on Engineering in Medicine and Biology Society: EMBS ‘08; 20–25 Aug 2008; Vancouver, CA; 2008. pp 5765–5768. DOI: 10.1109/IEMBS.2008.4650524
   Google Scholar
• Manh Duong P, Quang Vinh T, Hara K, Inagaki H, Abe M. Easy-setup eye movement recording system for human-computer interaction. IEEE International Conference on Research, Innovation and Vision for the Future: RIVF’08; 13–17 Jul 2008; Ho Chi Minh City, VN; 2008. pp 292–297. DOI: 10.1109/RIVF.2008.4586369
   Google Scholar
• Topal C, Doğan A, Gerek ÖN. A wearable head-mounted sensor-based apparatus for eye tracking applications. IEEE Conference on Virtual Environments, Human-Computer Interfaces and Measurement Systems: VECIMS’08; 14–16 Jul 2008; Istambul, TR; 2008. pp 136–139. DOI: 10.1109/VECIMS.2008.4592768
   Google Scholar
• Chi J-n Zhang, P-y, Zheng S-y Zhang, C, Huang Y. Key techniques of eye gaze tracking based on pupil corneal reflection. WRI Global Congress on Intelligent Systems, 2009: GCIS’09; 19–21 May 2009; Xiamen, CN; 2009. pp 133–138. DOI: 10.1109/GCIS.2009.338
   Google Scholar
• Price D, Kaputa D, Sierra DA, Enderle J. Infrared-based eye-tracker system for saccades. IEEE 35th Annual Northeast Bioengineering Conference: NEBC’09; 3–5 Apr 2009; Boston, MA; 2009. pp 1–2. DOI: 10.1109/NEBC.2009.4967836
   Google Scholar
• Zhang Q, Wang Z, Chi J, Zhang P, Yang Y. Design and calibration for gaze tracking system. IEEE 2nd International Conference on Information Management and Engineering: ICIME’10; 16–18 Apr 2010; Chengdu, CN; 2010. pp 221–225. DOI: 10.1109/ICIME.2010.5477463
   Google Scholar
• Goldberg JH, Kotval XP. Computer interface evaluation using eye movements: methods and constructs. Int J Ind Ergon 1999;24:631–645. DOI: 10.1016/S0169-8141(98)00068-7
   Web of Science ®Google Scholar
• Henderson JM, Weeks PA, Hollingworth A. The effects of semantic consistency on eye movements during complex scene viewing. J Exp Psychol Hum Percept Perform 1999;25:210–228. DOI: 10.1037//0096-1523.25.1.210
   Web of Science ®Google Scholar
• Cowen L, Ball LJ, Delin J. An eye-movement analysis of web page usability. In: Faulkner X, Finlay J, Dètienne F, editors. People and computers XVIII: design for life proceedings of HCI 2004. Berlin, DE: Springer-Verlag; 2002. pp 317–335.
   Google Scholar
• Cooke L. Is eye tracking the next step in usability testing? IEEE International Professional Communication Conference: IPCC’06; 23–25 Oct 2006; Saratoga Springs, NY; 2006. pp 236–242. DOI: 10.1109/IPCC.2006.320355
   Google Scholar
• Xiao M, Wong M, Umali M, Pomplun M. Using eye-tracking to study audio-visual perceptual integration. Perception 2007;36:1391–1395.
   PubMedGoogle Scholar
• Ratwani RM, Trafton JG, Boehm-Davis DA. Thinking graphically: Connecting vision and cognition during graph comprehension. J Exp Psychol Appl 2008;14:36–49.
   PubMed Web of Science ®Google Scholar
• Guérard K, Tremblay S, Saint-Aubin J. The processing of spatial information in short-term memory: insights from eye tracking the path length effect. Acta Psychol (Amst) 2009;132:136–144.
   PubMed Web of Science ®Google Scholar
• Humphrey K, Underwood G. Domain knowledge moderates the influence of visual saliency in scene recognition. Br J Psychol 2009;100:377–398.
   PubMed Web of Science ®Google Scholar
• Harrison WJ, Thompson MB, Sanderson PM. Multisensory integration with a head-mounted display: background visual motion and sound motion. Hum Factors 2010;52:78–91.
   PubMed Web of Science ®Google Scholar
• Gredebäck G, von Hofsten C. Infants’ evolving representations of object motion during occlusion: a longitudinal study of 6- to 12-month-old infants. Infancy 2004;6(2):165–184. DOI: 10.1207/s15327078in0602_2
   PubMedGoogle Scholar
• Johnson SP, Slemmer JA, Amso D. Where infants look determines how they see: eye movements and object perception performance in 3-month-olds. Infancy 2004;6(2):185–201. DOI: 10.1207/s15327078in0602_3
   PubMedGoogle Scholar
• Hunnius S, Geuze RH. Developmental changes in visual scanning of dynamic faces and abstract stimuli in infants: a longitudinal study. Infancy 2004;6(2):231–255. DOI: 10.1207/s15327078in0602_5
   PubMedGoogle Scholar
• Salman MS, Sharpe JA, Eizenman M, Lillakas L, Westall C, To T, Dennis M, Steinbach MJ. Saccades in children. Vision Res 2006;46:1432–1439.
   PubMed Web of Science ®Google Scholar
• Theuring C, Gredebäck G, Hauf P. Object processing during a joint gaze following task. Eur J Dev Psychol 2007;4:65–79. DOI: 10.1080/17405620601051246
   Web of Science ®Google Scholar
• Jonsson B, Rönnqvist L, Dömellof E. Prospective head tracking in infants: head movements, accuracy and timing in relation to a circular object motion. Current Psychology Letters: Behaviour, Brain & Cognition 2009;25:2–15.
   Google Scholar
• Chung-Hsien K, Yi-Chang C, Hung-Chyun C, Jia-Wun S. Eyeglasses based electrooculography human-wheelchair interface. IEEE International Conference on Systems, Man and Cybernetics: SMC’09; 11–14 Oct 2009; San Antonio, TX; 2009. pp 4746–4751. DOI: 10.1109/ICSMC.2009.5346087
   Google Scholar
• Eun Yi K, Sin Kuk K, Keechul J, Hang Joon K. Eye mouse: mouse implementation using eye tracking. International Conference on Consumer Electronics: ICCE’05; 8–12 Jan 2005; Las Vegas, NV; 2005. pp 207–208. DOI: 10.1109/ICCE.2005.1429790
   Google Scholar
• Hansen DW, Hansen JP, Nielsen M, Johansen AS, Stegmann MB. Eye typing using Markov and active appearance models. 6th IEEE Workshop on Applications of Computer Vision: WACV’02; 3–4 Dec 2002; Orlando, FL; 2002. pp 132–136. DOI: 10.1109/ACV.2002.1182170
   Google Scholar
• Hiley JB, Redekopp AH, Fazel-Rezai R. A low cost human computer interface based on eye tracking. 28th Annual International Conference of the IEEE on Engineering in Medicine and Biology Society: EMBS’06; 30 Aug–3 Sep 2006; New York, NY; 2006. pp 3226–3229. DOI: 10.1109/IEMBS.2006.260774
   Google Scholar
• Corno F, Farinetti L, Signorile I. A cost-effective solution for eye-gaze assistive technology. IEEE International Conference on Multimedia and Expo: ICME’02; 26–29 Aug 2002; Lausanne, CH; 2002. pp 433–436. DOI: 10.1109/ICME.2002.1035632
   Google Scholar
• Kocejko T, Bujnowski A, Wtorek J. Eye mouse for disabled. Conference on Human System Interactions: HSI’08; 25–27 May 2008; Krakow, PL; 2008. pp 199–202. DOI: 10.1109/HSI.2008.4581433
   Google Scholar
• Miyoshi T, Murata A. Input device using eye tracker in human-computer interaction. 10th IEEE International Workshop on Robot and Human Interactive Communication: RO-MAN’01; 18–21 Sep 2001; Bordeaux and Paris, France; 2001. pp 580–585. DOI: 10.1109/ROMAN.2001.981967
   Google Scholar
• Miyoshi T, Murata A. Usability of input device using eye tracker on button size, distance between targets and direction of movement. IEEE International Conference on Systems, Man, and Cybernetics: ICSMC’01; 7–10 Oct 2001; Tucson, AZ; 2001. pp 227–232. DOI: 10.1109/ICSMC.2001.969816
   Google Scholar
• Perez CA, Pena CP, Holzmann CA, Held CM. Design of a virtual keyboard based on iris tracking. 2nd Joint Engineering in Medicine and Biology and 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society: EMBS/BMES’02; 23–26 Oct 2002; Houston, TX; 2002. pp 2428–2429. DOI: 10.1109/IEMBS.2002.1053358
   Google Scholar
• Porta M, Ravelli A. WeyeB, an eye-controlled web browser for hands-free navigation. 2nd Conference on Human System Interactions: HSI’09; 21–23 May 2009; Catania, II; 2009. pp 210–215. DOI: 10.1109/HSI.2009.5090980
   Google Scholar
• Roberts A, Pruehsner W, Enderle JD. Vocal, motorized, and environmentally controlled chair. IEEE 25th Annual Northeast Bioengineering Conference: NEBC’99; 8–9 Apr 1999; West Hartford, CT; 1999. pp 33–34. DOI: 10.1109/NEBC.1999.755746
   Google Scholar
• Špakov O, Majaranta P. Scrollable keyboards for casual eye typing. PsychNology Journal 2009;7:159–173. <http://www.psychnology.org/File/PNJ7%282%29/PSYCHNOLOGY_JOURNAL_7_2_SPAKOV.pdf>.
   Google Scholar
• Yuan-Pin L, Yi-Ping C, Chung-Chih L, Jyh-Horng C. Webcam mouse using face and eye tracking in various illumination environments. 27th Annual International Conference of the Engineering in Medicine and Biology Society: IEEE-EMBS’05; 17–18 Jan 2005; Shanghai, CN; 2005. pp 3738–3741. DOI: 10.1109/IEMBS.2005.1617296
   Google Scholar
• Jacob RJK, Karn KS. Eye tracking in human-computer interaction and usability research: ready to deliver the promises. In: Hyönä J, Radach R, Deubel H, editors. The mind’s eye: cognitive and applied aspects of eye movement research. Oxford, UK: Elsevier Science; 2003. pp 573–603.
   Google Scholar
• Poole A, Ball L. Eye Tracking in human-computer interaction and usability research: current status and future prospects. In: Ghaoui C, editor. Encyclopedia of Human Computer Interaction. London, UK: Idea Group Reference; 2006. pp 211–219.
   Google Scholar
• Duchowski AT. Eye tracking methodology: theory And practice. 2nd ed. London, UK: Springer; 2007.
   Google Scholar
• Holmqvist K, Nyström M, Andersson R, Dewhurst R, Jarodzka H, van de Weijer J. Eye tracking: a comprehensive guide to methods and measures. New York, NY: Oxford University Press; 2011.
   Google Scholar
• Rayner K. Eye movements in reading and information processing: 20 years of research. Psychol Bull 1998;124:372–422.
   PubMed Web of Science ®Google Scholar
• Duchowski AT. A breadth-first survey of eye-tracking applications. Behav Res Methods Instrum Comput 2002;34:455–470. DOI: 10.3758/BF03195475
   PubMedGoogle Scholar
• Hansen DW, Ji Q. In the eye of the beholder: a survey of models for eyes and gaze. IEEE Trans Pattern Anal Mach Intell 2010;32:478–500.
   PubMed Web of Science ®Google Scholar
• Markov AA, Howard RA. Extension of the limit theorems of probability theory to a sum of variables connected in a chain. In: Howard RA, editor. Dynamic probabilistic systems. New York, NY: John Wiley & Sons, Inc.; 1971. pp 552–577.
   Google Scholar
• Goldberg JH, Wichansky AM. Eye tracking in usability evaluation: a practitioner’s guide. In: Hyönä J, Radach R, Deubel H, editors. The mind’s eye: cognitive and applied aspects of eye movements. Oxford, UK: Elsevier Science; 2003. pp 493–516.
   Google Scholar
• Loftus GR, Mackworth NH. Cognitive determinants of fixation location during picture viewing. J Exp Psychol Appl 1978;4:565–572. DOI: 10.1037//0096-1523.4.4.565
   Google Scholar
• Doll TJ. Preattentive processing in visual search. 37th Annual Meeting of the Human Factors and Ergonomics Society: HFES’93; 11–15 Oct 1993; Seattle, WA; 1993. pp 1291–1294 p. DOI: 10.1518/107118193784162263
   Google Scholar
• Revonsuo A, Newman J. Binding and consciousness. Conscious Cogn 1999;8:123–127. DOI: 10.1006/ccog.1999.0393
   PubMed Web of Science ®Google Scholar
• Carpenter PA, Shah P. A model of the perceptual and conceptual processes in graph comprehension. J Exp Psychol Appl 1998;4:75–100. DOI: 10.1037//1076-898X.4.2.75
   Web of Science ®Google Scholar
• Lohse GL. A cognitive model for understanding graphical perception. Hum-Comp Inter 1993;8:353–388. DOI: 10.1207/s15327051hci0804_3
   Google Scholar
• Peebles D, Cheng PCH. Modeling the effect of task and graphical representation on response latency in a graph reading task. Human Factors: The Journal of the Human Factors and Ergonomics Society 2003;45:28–46. DOI: 10.1518/hfes.45.1.28.27225
   PubMed Web of Science ®Google Scholar
• Gillan DJ, Lewis R. A componential model of human interaction with graphs: 1. Linear regression modeling. Hum Factors 1994;36:419–440.
   PubMed Web of Science ®Google Scholar
• Wickens CD, Carswell CM. The proximity compatibility principle: its psychological foundation and relevance to display design. Hum Factors 1995;37:473–494. DOI: 10.1518/001872095779049408
   Web of Science ®Google Scholar
• Hashiba M, Matsuoka T, Baba S, Watanabe S. Non-visually induced smooth pursuit eye movements using sinusoidal target motion. Acta Otolaryngol Suppl 1996;525:158–162.
   PubMedGoogle Scholar
• Fioravanti F, Inchingolo P, Pensiero S, Spanio M. Saccadic eye movement conjugation in children. Vision Res 1995;35:3217–28. DOI: 10.1016/0042-6989(95)00152-5
   PubMedGoogle Scholar
• Aslin RN, Salapatek P. Saccadic localization of visual targets by the very young human infants. Percept Psychophys 1975;17:293–302. DOI: 10.3758/BF03203214
   Web of Science ®Google Scholar
• Sharpe JA, Zackon DH. Senescent saccades. Effects of aging on their accuracy, latency and velocity. Acta Otolaryngol 1987;104:422–428.
   PubMed Web of Science ®Google Scholar
• Grönqvist H, Gredebäck G, Hofsten C. Developmental asymmetries between horizontal and vertical tracking. Vision Res 2006;46:1754–1761.
   PubMed Web of Science ®Google Scholar
• Kapoula Z, Bucci P. Distribution-dependent saccades in children with strabismus and in normals. Exp Brain Res 2002;143:264–268.
   PubMedGoogle Scholar
• Lasker AG, Denckla MB, Zee DS. Ocular motor behavior of children with neurofibromatosis 1. J Child Neurol 2003;18:348–355.
   PubMed Web of Science ®Google Scholar
• Munoz DP, Broughton JR, Goldring JE, Armstrong IT. Age-related performance of human subjects on saccadic eye movement tasks. Exp Brain Res 1998;121:391–400.
   PubMed Web of Science ®Google Scholar
• Ross RG, Radant AD, Young DA, Hommer DW. Saccadic eye movements in normal children from 8 to 15 years of age: a developmental study of visuospatial attention. J Autism Dev Disord 1994;24:413–431.
   PubMedGoogle Scholar
• Kapoula Z, Evdokimidis I, Smyrnis N, Bucci MP, Constantinidis TS. EEG cortical potentials preceding vergence and combined saccade-vergence eye movements. Neuroreport 2002;13:1893–1897.
   PubMedGoogle Scholar
• Barkovich AJ. Normal development of the neonatal and infant brain, skull, and spine. In: Barkovich AJ, editor. Pediatric neuroimaging. 4th ed. Philadelphia, PA: Lippincott Williams & Wilkins; 2005. pp 17–75.
   Google Scholar
• Aslin RN, McMurray B. Automated corneal-reflection eye tracking in infancy: methodological developments and applications to cognition. Infancy 2004;6:155–163. DOI: 10.1207/s15327078in0602_1
   PubMed Web of Science ®Google Scholar
• World Health Organization (WHO). A glossary of terms for community health care and services for older persons. Technical report. Geneva, CH: WHO; 15 Jul 2004, 2011. Report No. WHO/WKC/Tech.Ser./04.2.
   Google Scholar
• United States Congress. Assistive Technology Act (Public Law 108–364). 2004.
   Google Scholar
• World Health Organization (WHO), World Bank. World report on disability. Geneva, CH: WHO; 2011.
   Google Scholar
• Wikipedia contributors. Electroencephalography. Wikipedia, The Free Encyclopedia 2011, 1 Oct 2011. <http://en.wikipedia.org/w/index.php?title=Electroencephalography&oldid = 448580630>. Available from: 1 Oct 2011.
   Google Scholar
• Pasqualotto E, Federici S, Olivetti Belardinelli M. Toward functioning and usable brain computer interfaces (BCIs): a literature review. Disabil Rehabil Assist Technol 2011:1–15. DOI: 10.3109/17483107.2011.589486
   PubMedGoogle Scholar
• Hutchinson TE, White KP, Jr., Martin WN, Reichert KC, Frey LA. Human-computer interaction using eye-gaze input. IEEE Trans Syst Man Cybern 1989;19(6):1527–1534. DOI: 10.1109/21.44068
   Google Scholar
• Levine JL. An eye-controlled computer. Technical Report. Yorktown Heights, NY: IBM Research Division; 1981. Report No. RC-8857.
   Google Scholar
• Majaranta P, Räihä K-J. Text entry by gaze: utilizing eye-tracking. In: MacKenzie IS, Tanaka-Ishii K, editors. Text entry systems: mobility, accessibility, universality. San Francisco, CA: Morgan Kaufmann; 2007. pp 175–187.
   Google Scholar
• Mirza M, Gossett Zakrajsek A, Borsci S. The assessment of the environments of use: accessibility, sustainability, and universal design. In: Federici S, Scherer MJ, editors. Assistive technology assessment: a handbook for professionals in disability, rehabilitation and health professions. London, UK: CRC Press; 2012.
   Google Scholar
• Cortada JW. Before the computer: IBM, NCR, Burroughs, and Remington Rand and the industry they created, 1865–1956. Princeton, NJ: Princeton University Press; 2000.
   Google Scholar
• Wikipedia contributors. Electrooculography. Wikipedia, The Free Encyclopedia 2011, 1 Oct 2011. http://en.wikipedia.org/wiki/Electrooculography. Available from: 1 Oct 2011.
   Google Scholar
• Federici S, Scherer MJ, editors. Assistive technology assessment: a handbook for professionals in disability, rehabilitation and health professions. London, UK: CRC Press; 2012.
   Google Scholar
• De Kerckhove D. The skin of culture: investigating the new electronic reality. Toronto, CA: Somerville, 1995.
   Google Scholar
• De Kerckhove D. Brainframes. Technology, mind and business. Utrecht, NL: Bosch & Keuning; 1991.
   Google Scholar