3-D route-planning support for navigation in a complex indoor environment

Three-dimensional (3-D) route-planning support offers a promising solution to overcome problems with wayfinding in complex indoor environments. An experiment was conducted to test the effect of 3-D route-planning support in a realistic setting, a large hospital building, during normal operation. Forty participants performed navigation tasks either with (n = 20) or without (n = 20) 3-D route-planning support. Support resulted in faster navigation, more use of artwork specifically installed to aid wayfinding, fewer navigation errors, less disorientation and less anxiety. In addition, participants used different strategies for wayfinding: without navigation support they used signs and route colour, but with navigation support they used not only the artwork, but also the existing furniture and other landmarks. The acceptance of 3-D route-planning support was high. Overall, the results support the value of 3-D route-planning support.

[1]  D. Moser,et al.  Spielberger's State Anxiety Inventory: Development of a Shortened Version for Critically Ill Patients , 2011, Issues in mental health nursing.

[2]  Christoph Hölscher,et al.  The language of landmarks: the role of background knowledge in indoor wayfinding , 2012, Cognitive Processing.

[3]  Jane Webster,et al.  Perceived disorientation: an examination of a new measure to assess web design effectiveness , 2001, Interact. Comput..

[4]  T Boersema,et al.  The influence of advertisements on the conspicuity of routing information. , 1985, Applied ergonomics.

[5]  Bart Rienties,et al.  Why some teachers easily learn to use a new virtual learning environment: a technology acceptance perspective , 2016, Interact. Learn. Environ..

[6]  Gordon E. Legge,et al.  The effect of layout complexity on human and ideal navigation performance , 2010 .

[7]  Jacob Cohen Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.

[8]  Amanda J. Padgitt,et al.  How good are these directions? Determining direction quality and wayfinding efficiency , 2012 .

[9]  VilarElisângela,et al.  Indoor Human Wayfinding Performance Using Vertical and Horizontal Signage in Virtual Reality , 2014 .

[10]  Jakob Nielsen,et al.  Measuring usability: preference vs. performance , 1994, CACM.

[11]  Kostas E. Bekris,et al.  Indoor Human Navigation Systems: A Survey , 2013, Interact. Comput..

[12]  R. Downs,et al.  Maps in minds : reflections on cognitive mapping , 1978 .

[13]  Fred D. Davis,et al.  Dead Or Alive? The Development, Trajectory And Future Of Technology Adoption Research , 2007, J. Assoc. Inf. Syst..

[14]  Tal Oron-Gilad,et al.  Perceptions of electronic navigation displays , 2013, Behav. Inf. Technol..

[15]  E. Tolman Cognitive maps in rats and men. , 1948, Psychological review.

[16]  Duc Truong Pham,et al.  Using audio to support animated route information in a hospital touch-screen kiosk , 2010, Comput. Hum. Behav..

[17]  H. Petrie,et al.  MOBIC: Designing a Travel Aid for Blind and Elderly People , 1996, Journal of Navigation.

[18]  Tang Zhong Spatial Differentiation Effect on Wayfinding and Orientation in Gestalt Space , 2009 .

[19]  Yao-Jen Chang,et al.  Comparing picture and video prompting in autonomous indoor wayfinding for individuals with cognitive impairments , 2010, Personal and Ubiquitous Computing.

[20]  Roberto Manduchi,et al.  Functional Assessment of a Camera Phone-Based Wayfinding System Operated by Blind and Visually Impaired Users , 2009, Int. J. Artif. Intell. Tools.

[21]  Paul van Schaik,et al.  Involving Persons with Dementia in the Evaluation of Outdoor Environments , 2008, Cyberpsychology Behav. Soc. Netw..

[22]  Francisco Rebelo,et al.  Indoor Human Wayfinding Performance Using Vertical and Horizontal Signage in Virtual Reality , 2014 .

[23]  Edwin R. Galea,et al.  Experimental analysis of the effectiveness of emergency signage and its implementation in evacuation simulation , 2012 .

[24]  Francisco Rebelo,et al.  The influence of environmental features on route selection in an emergency situation. , 2013, Applied ergonomics.

[25]  Christoph Stahl,et al.  Learning Routes from Visualizations for Indoor Wayfinding: Presentation Modes and Individual Differences , 2011, Spatial Cogn. Comput..

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

[27]  C. Lawton,et al.  Individual- and Gender-Related Differences in Indoor Wayfinding , 1996 .

[28]  Bill Simon,et al.  Finding a Way , 2009 .

[29]  Stephen Barrett,et al.  Self-adaptive application for indoor wayfinding for individuals with cognitive impairments , 2011, 2011 24th International Symposium on Computer-Based Medical Systems (CBMS).

[30]  Raafat George Saadé,et al.  First impressions last a lifetime: effect of interface type on disorientation and cognitive load , 2007, Comput. Hum. Behav..

[31]  Stephen A. Brewster,et al.  How can we best use landmarks to support older people in navigation? , 2005, Behav. Inf. Technol..

[32]  A C Bonacci,et al.  Living with complexity. , 1986, American journal of hospital pharmacy.

[33]  Paul van Schaik,et al.  Using interactive 3-D visualization for public consultation , 2010, Interact. Comput..

[34]  Barry Peterson,et al.  Spatial Orientation, Wayfinding, and Representation , 2014, Handbook of Virtual Environments, 2nd ed..

[35]  George W. Furnas,et al.  Navigation in Electronic Worlds. , 1997 .

[36]  Lauri Koskela,et al.  Wayfinding : embedding knowledge in hospital environments , 2009 .

[37]  George W. Furnas,et al.  Navigation in electronic worlds: a CHI 97 workshop , 1997, SGCH.

[38]  Martin Raubal,et al.  An Indoor Routing Algorithm for the Blind: Development and Comparison to a Routing Algorithm for the Sighted , 2009, Int. J. Geogr. Inf. Sci..

[39]  C. Spielberger Manual for the State-Trait Anxiety Inventory (STAI) (Form Y , 1983 .

[40]  S. Vandenberg,et al.  Mental Rotations, a Group Test of Three-Dimensional Spatial Visualization , 1978, Perceptual and motor skills.