From Wayfinding Model to Future Context-based Adaptation of HCI in Urban Mobility for Pedestrians with Active Navigation Needs

References

• Adapa, A., Nah, F. F.-H., Hall, R. H., Siau, K., & Smith, S. N. (2018). Factors influencing the adoption of smart wearable devices. International Journal of Human–Computer Interaction, 34(5), 399–409. https://doi.org/10.1080/10447318.2017.1357902
   Web of Science ®Google Scholar
• Aizpurua, A., Miñón, R., Gamecho, B., Cearreta, I., Arrue, M., & Garay-Vitoria, N. (2019). Accessible Ubiquitous services for supporting daily activities: A case study with young adults with intellectual disabilities. International Journal of Human–Computer Interaction, 35(17), 1608–1629. https://doi.org/10.1080/10447318.2018.1559534
   Web of Science ®Google Scholar
• Albrecht, R., Väänänen, R., & Lokki, T. (2016). Guided by music: Pedestrian and cyclist navigation with route and beacon guidance. Personal and Ubiquitous Computing, 20(1), 121–145. https://doi.org/10.1007/s00779-016-0906-z
   Web of Science ®Google Scholar
• Bangor, A., Kortum, P., & Miller, J. (2009). Determining what individual SUS scores mean: Adding an adjective rating scale. Journal Usability Studies, 4(3), 114–123. http://dl.acm.org.ins2i.bib.cnrs.fr/citation.cfm?id=2835587.2835589
   Google Scholar
• Bertel, S., Dressel, T., Kohlberg, T., & Von Jan, V. (2017). Spatial knowledge acquired from pedestrian urban navigation systems. In Proceedings of the 19th international conference on human-computer interaction with mobile devices and services, MobileHCI 2017. Vienna, Austria. https://doi.org/10.1145/3098279.3098543
   Google Scholar
• Chung, J., Kim, I. J., & Schmandt, C. (2011). Guiding light: Navigation assistance system using projection based augmented reality. In Digest of technical papers - IEEE international conference on consumer electronics (pp. 881–882). Las Vegas, NV. https://doi.org/10.1109/ICCE.2011.5722917
   Google Scholar
• Coors, V., Elting, C., Kray, C., & Laakso, K. (2005, November). Presenting route instructions on mobile devices: From textual directions to 3D visualization. In J. Dykes, A. M. MacEachren, & M.-J. Kraak (Eds.), Exploring geovisualization, 2004 (Chapter 27, pp. 529–550). Pergamon. https://doi.org/10.1016/B978-008044531-1/50445-0
   Google Scholar
• Dey, A. K. (2001). Understanding and using context. Personal and Ubiquitous Computing, 5(1), 4–7. https://doi.org/10.1007/s007790170019
   Web of Science ®Google Scholar
• Dey, A. K., Abowd, G. D., & Salber, D. (2001). A conceptual framework and a toolkit for supporting the rapid prototyping of context-aware applications. Human–Computer Interaction, 16(2–4), 97–166. https://doi.org/10.1207/S15327051HCI16234_02
   Web of Science ®Google Scholar
• Dourish, P. (2004). What we talk about when we talk about context. Personal and Ubiquitous Computing, 8(1), 19–30. https://doi.org/10.1007/s00779-003-0253-8
   Web of Science ®Google Scholar
• Frey, M. (2007). CabBoots: Shoes with integrated guidance system. In TEI’07: First international conference on tangible and embedded interaction (pp. 245–246). Baton Rouge, LA. https://doi.org/10.1145/1226969.1227019
   Google Scholar
• Gardony, A. L., Brunyé, T. T., Mahoney, C. R., & Taylor, H. A. (2013). How navigational aids impair spatial memory: Evidence for divided attention. Spatial Cognition and Computation, 13(4), 319–350. https://doi.org/10.1080/13875868.2013.792821
   Web of Science ®Google Scholar
• Golledge, R. G. (1999). Wayfinding behavior: Cognitive mapping and other spatial processes. JHU press.
   Google Scholar
• Hile, H., Vedantham, R., Cuellar, G., Liu, A., Gelfand, N., Grzeszczuk, R., & Borriello, G. (2009, January). Landmark-based pedestrian navigation from collections of geotagged photos. In Proceedings of the 7th international conference on mobile and ubiquitous multimedia (p. 145). Umea, Sweden: ACM. https://doi.org/10.1145/1543137.1543167
   Google Scholar
• Huang, H., Schmidt, M., & Gartner, G. (2012). Spatial knowledge acquisition with mobile maps, augmented reality and voice in the context of GPS-based pedestrian navigation: Results from a field test. Cartography and Geographic Information Science, 39(2), 107–116. https://doi.org/10.1559/15230406392107
   Web of Science ®Google Scholar
• Hussain, I., Chen, L., Mirza, H. T., Xing, K., & Chen, G. (2014). A comparative study of sonification methods to represent distance and forward-direction in pedestrian navigation. International Journal of Human-computer Interaction, 30(9), 740–751. https://doi.org/10.1080/10447318.2014.925381
   Web of Science ®Google Scholar
• Ishikawa, T., Fujiwara, H., Imai, O., & Okabe, A. (2008). Wayfinding with a GPS-based mobile navigation system: A comparison with maps and direct experience. Journal of Environmental Psychology, 28(1), 74–82. https://doi.org/10.1016/j.jenvp.2007.09.002
   Web of Science ®Google Scholar
• Ishikawa, T., & Montello, D. R. (2006). Spatial knowledge acquisition from direct experience in the environment: Individual differences in the development of metric knowledge and the integration of separately learned places. Journal of Cognitive Psychology, 52(2), 93–129. https://doi.org/10.1016/j.cogpsych.2005.08.003
   Google Scholar
• Kamilakis, M., Gavalas, D., & Zaroliagis, C. (2016). Mobile user experience in augmented reality vs. maps interfaces: A case study in public transportation. In L. De Paolis, & A. Mongelli (Eds.), Augmented reality, virtual reality, and computer graphics (vol. 9768). AVR 2016. Lecture Notes in Computer Science. Cham: Springer. https://doi.org/10.1007/978-3-319-40621-3_27
   Google Scholar
• Khan, N., & Rahman, A. U. (2018). Rethinking the mini-map: A navigational aid to support spatial learning in urban game environments. International Journal of Human–Computer Interaction, 34(12), 1135–1147. https://doi.org/10.1080/10447318.2017.1418804
   Web of Science ®Google Scholar
• Kochar, A. (2017). Using map-augmented reality for forced migrants. Institute for Geoinformatics (ifgi), University of Munster.
   Google Scholar
• Konishi, K., & Bohbot, V. D. (2013). Spatial navigational strategies correlate with gray matter in the hippocampus of healthy older adults tested in a virtual maze. Frontiers in Aging Neuroscience, 5(FEB), 1–8. https://doi.org/10.3389/fnagi.2013.00001
   PubMedGoogle Scholar
• Kortum, P., & Sorber, M. (2015). Measuring the usability of mobile applications for phones and tablets. International Journal of Human-computer Interaction, 31(8), 518–529. https://doi.org/10.1080/10447318.2015.1064658
   Web of Science ®Google Scholar
• Lakehal, A., Lepreux, S., Efstratiou, C., Kolski, C., & Nicolaou, P. (2020). Investigating smartphones and AR glasses for pedestrian navigation and their effects in spatial knowledge acquisition. Proceedings of the 22st International Conference on Human-Computer Interaction with Mobile Devices and Services, ACM, Oldenburg, Germany, October.
   Google Scholar
• Letalle, L. (2017). Self-regulation and other-regulation in route learning in teenagers and young adults with intellectual disability (in french). Univ. Lille 3.
   Google Scholar
• Letalle, L., Lakehal, A., Mengue-Topio, H., Saint-Mars, J., Kolski, C., Lepreux, S., & Anceaux, F. (2020). Ontology for mobility of people with intellectual disability: Building a basis of definitions for the development of navigation aid systems. In HCI in Mobility, Transport, and Automotive Systems. Automated Driving and In-Vehicle Experience Design. HCII (Vol. 12212, pp. 322–334). Springer.
   Google Scholar
• Li, B., Zhu, K., Zhang, W., Wu, A., & Zhang, X. (2014). A comparative study of two wayfinding aids for simulated driving tasks - Single-scale and dual-scale GPS aids. Behaviour & Information Technology, 33(4), 361–371. https://doi.org/10.1080/0144929X.2012.719032
   Web of Science ®Google Scholar
• Li, M., Mahnkopf, L., & Kobbelt, L. (2012, June). The design of a segway AR-Tactile navigation system. In International Conference on Pervasive Computing (pp. 161–178). Springer, Berlin, Heidelberg.
   Google Scholar
• Maguire, E. A., Gadian, D. G., Johnsrude, I. S., Good, C. D., Ashburner, J., Frackowiak, R. S. J., & Frith, C. D. (2000). Navigation-related structural change in the hippocampi of taxi drivers. Proceedings of the National Academy of Sciences, 97(8), 4398–4403. https://doi.org/10.1073/pnas.070039597
   PubMed Web of Science ®Google Scholar
• Mcgookin, D., Brewster, S., & Priego, P. (2009, September). Audio bubbles: Employing non-speech audio to support tourist wayfinding. In International Conference on Haptic and Audio Interaction Design (pp. 41–50). Springer, Berlin, Heidelberg.
   Google Scholar
• Meier, A., Matthies, D. J. C., Urban, B., & Wettach, R. (2015, June 25–26). Exploring vibrotactile feedback on the body and foot for the purpose of pedestrian navigation. In Proceedings of the 2nd international workshop on sensor-based activity recognition and interaction. Rostock, Germany. https://doi.org/10.1145/2790044.2790051
   Google Scholar
• Montello, D. R. (2005). Navigation. In A. M. P. Shah (Ed.), The cambridge handbook of visuospatial thinking (pp. 257–294). Cambridge Univ. Press.
   Google Scholar
• Montuwy, A., Cahour, B., & Dommes, A. (2018, April). Older pedestrians navigating with AR glasses and bone conduction headset. In Conference on human factors in computing systems – Proceedings (pp. 1–6). Montréal, Canada. https://doi.org/10.1145/3170427.3188503
   Google Scholar
• Montuwy, A., Cahour, B., & Dommes, A. (2019). Using sensory wearable devices to navigate the city: Effectiveness and user experience in older pedestrians. Multimodal Technologies and Interaction, 3(1), 17. https://doi.org/10.3390/mti3010017
   Google Scholar
• Morrison, A., Mulloni, A., Lemmelä, S., Oulasvirta, A., Jacucci, G., Peltonen, P., Schmalstieg, D., & Regenbrecht, H. (2011). Collaborative use of mobile augmented reality with paper maps. Computers and Graphics (Pergamon), 35(4), 789–799. https://doi.org/10.1016/j.cag.2011.04.009
   Web of Science ®Google Scholar
• Morrison, A., Oulasvirta, A., Peltonen, P., Lemmelä, S., Jacucci, G., Reitmayr, G., Näsänen, J., & Juustila, A. (2009). CHI ’09 Proceedings of the 27th international conference on Human factors in computing systems. In Like bees around the hive: Acomparative study of amobile augmented reality map (pp. 1889–1898). Boston, MA.
   Google Scholar
• Pielot, M., & Boll, S. (2010, May). Tactile wayfinder: Comparison of tactile waypoint navigation with commercial pedestrian navigation systems. In International conference on pervasive computing (pp. 76–93). Springer, Berlin, Heidelberg.
   Google Scholar
• Rehrl, K., Häusler, E., Leitinger, S., & Bell, D. (2014). Pedestrian navigation with augmented reality, voice and digital map: Final results from an in situ field study assessing performance and user experience. Journal of Location Based Services, 8(2), 75–96. https://doi.org/10.1080/17489725.2014.946975
   Google Scholar
• Rehrl, K., Häusler, E., Steinmann, R., Leitinger, S., Bell, D., & Weber, M. (2012). Pedestrian navigation with augmented reality, voice and digital map: Results from a field study assessing performance and user experience. Lecture Notes in Geoinformation and Cartography, 199599, 3–20. https://doi.org/10.1007/978-3-642-24198-7_1
   Google Scholar
• Ruginski, I. T., Creem-regehr, S. H., Stefanucci, J. K., & Cashdan, E. (2019). GPS use negatively affects environmental learning through spatial transformation abilities. Journal of Environmental Psychology, 64(May), 12–20. https://doi.org/10.1016/j.jenvp.2019.05.001
   Google Scholar
• Schirmer, M., Hartmann, J., Bertel, S., & Echtler, F. (2015). Shoe me the way: A shoe-based tactile interface for eyes-free urban navigation. In MobileHCI 2015 – Proceedings of the 17th international conference on human-computer interaction with mobile devices and services (pp. 327–336). Copenhagen, Denmark. https://doi.org/10.1145/2785830.2785832
   Google Scholar
• Schmidt, A., Beigl, M., & Gellersen, H.-W. (1999). There is more to context than location. Computers & Graphics, 23(6), 893–901. https://doi.org/10.1016/S0097-8493(99)00120-X
   Web of Science ®Google Scholar
• Siegel, A. W., & White, S. H. (1975). Advances in child development and behavior. Advances in Child Development and Behavior, 10, 9–55. https://doi.org/10.1016/S0065-2407(08)60007-5
   PubMedGoogle Scholar
• Stephanidis, C. C., Salvendy, G., Of the Group Margherita Antona, M., Chen, J. Y. C., Dong, J., Duffy, V. G., Fang, X., Fidopiastis, C., Fragomeni, G., Fu, L. P., Guo, Y., Harris, D., Ioannou, A., Jeong, K. (Kate), Konomi, S., Krömker, H., Kurosu, M., Lewis, J. R., Marcus, A., Moallem, A., … Zhou, J. (2019). Seven HCI grand challenges. International Journal of Human–Computer Interaction, 35(14), 1229–1269. https://doi.org/10.1080/10447318.2019.1619259
   Web of Science ®Google Scholar
• Velázquez, R., Pissaloux, E., Rodrigo, P., Carrasco, M., Giannoccaro, N. I., & Lay-Ekuakille, A. (2018). An outdoor navigation system for blind pedestrians using GPS and tactile-foot feedback. Applied Sciences (Switzerland), 8(4), 578. https://doi.org/10.3390/app8040578
   Google Scholar
• Walther-Franks, B., & Malaka, R. (2008, May). Evaluation of an augmented photograph-based pedestrian navigation system. In International symposium on smart graphics (pp. 94–105). Rennes, France. https://doi.org/10.1007/978-3-540-85412-8
   Google Scholar
• Wen, J., Helton, W. S., & Billinghurst, M. (2013). A study of user perception, interface performance, and actual usage of mobile pedestrian navigation aides. In Proceedings of the human factors and ergonomics society (pp. 1958–1962). Los Angeles, USA. https://doi.org/10.1177/1541931213571437
   Google Scholar
• Wenig, N., Wenig, D., Ernst, S., Malaka, R., Hecht, B., & Schöning, J. (2017). Pharos: Improving navigation instructions on smartwatches by including global landmarks. In Proceedings of the 19th international conference on human-computer interaction with mobile devices and services. MobileHCI 2017. Vienna, Austria. https://doi.org/10.1145/3098279.3098529
   Google Scholar
• Wiener, J. M., Büchner, S. J., & Hölscher, C. (2009). Taxonomy of human wayfinding tasks: A knowledge-based approach. Spatial Cognition and Computation, 9(2), 152–165. https://doi.org/10.1080/13875860902906496
   Web of Science ®Google Scholar
• Wither, J., Au, C. E., Rischpater, R., & Grzeszczuk, R. (2013). Moving beyond the map: Automated landmark based pedestrian guidance using street level panoramas. MobileHCI 2013 – Proceedings of the 15th international conference on human-computer interaction with mobile devices and services (pp. 203–212). Munich, Germany. https://doi.org/10.1145/2493190.2493235
   Google Scholar