skip to main content
10.1145/3603555.3608557acmotherconferencesArticle/Chapter ViewAbstractPublication PagesmundcConference Proceedingsconference-collections
short-paper

Creating Routes for Landmark-Training with the CompanionApp: A Pilot User Study

Published: 03 September 2023 Publication History

Abstract

An important ability for participation in society is wayfinding. In this paper the findings of a pilot user study conducted to assess the usability of the CompanionApp, a mobile application aimed at providing landmark training and wayfinding assistance to individuals with cognitive impairments are presented. The study focuses on the role of caregivers in using the app and explores their level of comfort with technology. Participants engaged in a workshop where they created routes using the app, followed by a feedback session. The results indicate promising usability of the app’s user interface and route creation process. However, certain aspects require clarification and a more comprehensive introduction. These findings highlight the potential of the CompanionApp in empowering individuals with cognitive impairments to navigate independently and foster inclusion.

References

[1]
Shurug Al-Khalifa and Muna Al-Razgan. 2016. Ebsar: Indoor Guidance for the Visually Impaired. Computers & Electrical Engineering 54 (Aug. 2016), 26–39. https://doi.org/10.1016/j.compeleceng.2016.07.015
[2]
Pouria Amirian and Anahid Basiri. 2016. Landmark-Based Pedestrian Navigation Using Augmented Reality and Machine Learning. In Progress in Cartography: EuroCarto 2015, Georg Gartner, Markus Jobst, and Haosheng Huang (Eds.). Springer International Publishing, Cham, 451–465. https://doi.org/10.1007/978-3-319-19602-2_27
[3]
Aaron Bangor. 2009. Determining What Individual SUS Scores Mean: Adding an Adjective Rating Scale. 4, 3 (2009).
[4]
Matt Bower, Cathie Howe, Nerida McCredie, Austin Robinson, and David Grover. 2014. Augmented Reality in Education – Cases, Places and Potentials. Educational Media International 51, 1 (Jan. 2014), 1–15. https://doi.org/10.1080/09523987.2014.889400
[5]
Shannon A. Bridges, Olivia P. Robinson, Elizabeth W. Stewart, Dongjin Kwon, and Kagendo Mutua. 2020. Augmented Reality: Teaching Daily Living Skills to Adults with Intellectual Disabilities. Journal of Special Education Technology 35, 1 (March 2020), 3–14. https://doi.org/10.1177/0162643419836411
[6]
John Brooke. 1995. SUS: A Quick and Dirty Usability Scale. Usability Eval. Ind. 189 (Nov. 1995).
[7]
David F. Cihak, Eric J. Moore, Rachel E. Wright, Don D. McMahon, Melinda M. Gibbons, and Cate Smith. 2016. Evaluating Augmented Reality to Complete a Chain Task for Elementary Students with Autism. Journal of Special Education Technology 31, 2 (June 2016), 99–108. https://doi.org/10.1177/0162643416651724
[8]
M. H. G. Claessen. 2017. Lost after Stroke: Theory, Assessment, and Rehabilitation of Navigation Impairment. http://localhost/handle/1874/349384.
[9]
Michiel H. G. Claessen, Ineke J. M. van der Ham, Elbrich Jagersma, and Johanna M. A. Visser-Meily. 2016. Navigation Strategy Training Using Virtual Reality in Six Chronic Stroke Patients: A Novel and Explorative Approach to the Rehabilitation of Navigation Impairment. Neuropsychological Rehabilitation 26, 5-6 (Sept. 2016), 822–846. https://doi.org/10.1080/09602011.2015.1045910
[10]
Daniel K. Davies, Steven E. Stock, Shane Holloway, and Michael L. Wehmeyer. 2010. Evaluating a GPS-based Transportation Device to Support Independent Bus Travel by People with Intellectual Disability. Intellectual and Developmental Disabilities 48, 6 (Dec. 2010), 454–463. https://doi.org/10.1352/1934-9556-48.6.454
[11]
Romain Delgrange, Jean-Marie Burkhardt, and Valérie Gyselinck. 2020. Difficulties and Problem-Solving Strategies in Wayfinding Among Adults With Cognitive Disabilities: A Look at the Bigger Picture. Frontiers in Human Neuroscience 14 (2020). https://doi.org/10.3389/fnhum.2020.00046
[12]
Mostafa Elgendy, Tibor Guzsvinecz, and Cecilia Sik-Lanyi. 2019. Identification of Markers in Challenging Conditions for People with Visual Impairment Using Convolutional Neural Network. Applied Sciences 9, 23 (Jan. 2019), 5110. https://doi.org/10.3390/app9235110
[13]
Thomas Franke, Christiane Attig, and Daniel Wessel. 2019. A Personal Resource for Technology Interaction: Development and Validation of the Affinity for Technology Interaction (ATI) Scale. International Journal of Human–Computer Interaction 35, 6 (April 2019), 456–467. https://doi.org/10.1080/10447318.2018.1456150
[14]
Giovanni Fusco and James M. Coughlan. 2018. Indoor Localization Using Computer Vision and Visual-Inertial Odometry. In Computers Helping People with Special Needs(Lecture Notes in Computer Science), Klaus Miesenberger and Georgios Kouroupetroglou (Eds.). Springer International Publishing, Cham, 86–93. https://doi.org/10.1007/978-3-319-94274-2_13
[15]
Maya Gupta, Ali Abdolrahmani, Emory Edwards, Mayra Cortez, Andrew Tumang, Yasmin Majali, Marc Lazaga, Samhitha Tarra, Prasad Patil, Ravi Kuber, and Stacy M. Branham. 2020. Towards More Universal Wayfinding Technologies: Navigation Preferences Across Disabilities. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. ACM, Honolulu HI USA, 1–13. https://doi.org/10.1145/3313831.3376581
[16]
Valérie Gyselinck, Chiara Meneghetti, Rossana De Beni, and Francesca Pazzaglia. 2009. The Role of Working Memory in Spatial Text Processing: What Benefit of Imagery Strategy and Visuospatial Abilities?Learning and Individual Differences 19, 1 (Jan. 2009), 12–20. https://doi.org/10.1016/j.lindif.2008.08.002
[17]
Mark Harniss, Pat A. Brown, and Kurt L. Johnson. 2014. Cognitive Technologies for Wayfinding. Assistive Technologies for Cognition. New York: Psychology Press.
[18]
Eunjeong Ko and Eun Yi Kim. 2017. A Vision-Based Wayfinding System for Visually Impaired People Using Situation Awareness and Activity-Based Instructions. Sensors 17, 8 (Aug. 2017), 1882. https://doi.org/10.3390/s17081882
[19]
Tom Lorenz, Mirco Baseniak, Linda Münch, Ina Schiering, and Sandra Müller. 2022. Digitization of Landmark Training for Topographical Disorientation: Opportunities of Smart Devices and Augmented Reality. In 15th International Conference on Health Informatics. 727–734.
[20]
Tom Lorenz, Merle Leopold, Funda Ertas, Sandra Verena Müller, and Ina Schiering. 2021. Landmark Training Based on Augmented Reality for People with Intellectual Disabilities. In HCI International 2021 - Posters, Constantine Stephanidis, Margherita Antona, and Stavroula Ntoa (Eds.). Springer International Publishing, Cham, 498–505. https://doi.org/10.1007/978-3-030-78645-8_63
[21]
Thomas Mahatody, Mouldi Sagar, and Christophe Kolski. 2010. State of the art on the cognitive walkthrough method, its variants and evolutions. Intl. Journal of Human–Computer Interaction 26, 8 (2010), 741–785.
[22]
Don McMahon, David F. Cihak, and Rachel Wright. 2015. Augmented Reality as a Navigation Tool to Employment Opportunities for Postsecondary Education Students with Intellectual Disabilities and Autism. Journal of Research on Technology in Education 47, 3 (July 2015), 157–172. https://doi.org/10.1080/15391523.2015.1047698
[23]
John T Morris, W Mark Sweatman, and Michael L Jones. 2017. Smartphone Use and Activities by People with Disabilities: User Survey 2016. (2017), 18.
[24]
Karl Rehrl, Elisabeth Häusler, Renate Steinmann, Sven Leitinger, Daniel Bell, and Michael Weber. 2012. Pedestrian Navigation with Augmented Reality, Voice and Digital Map: Results from a Field Study Assessing Performance and User Experience. In Advances in Location-Based Services: 8th International Symposium on Location-Based Services, Vienna 2011, Georg Gartner and Felix Ortag (Eds.). Springer, Berlin, Heidelberg, 3–20. https://doi.org/10.1007/978-3-642-24198-7_1
[25]
John Rieman, Marita Franzke, and David Redmiles. 1995. Usability evaluation with the cognitive walkthrough. In Conference companion on Human factors in computing systems. 387–388.
[26]
Josée Rivest, Eva Svoboda, Jeff McCarthy, and Morris Moscovitch. 2018. A Case Study of Topographical Disorientation: Behavioural Intervention for Achieving Independent Navigation. Neuropsychological Rehabilitation 28, 5 (July 2018), 797–817. https://doi.org/10.1080/09602011.2016.1160833
[27]
Tânia Rocha, Diana Carvalho, Maximino Bessa, Sofia Reis, and Luís Magalhães. 2017. Usability Evaluation of Navigation Tasks by People with Intellectual Disabilities: A Google and SAPO Comparative Study Regarding Different Interaction Modalities. Universal Access in the Information Society 16, 3 (Aug. 2017), 581–592. https://doi.org/10.1007/s10209-016-0489-5
[28]
Cate C. Smith, David F. Cihak, Byungkeon Kim, Don D. McMahon, and Rachel Wright. 2017. Examining Augmented Reality to Improve Navigation Skills in Postsecondary Students with Intellectual Disability. Journal of Special Education Technology 32, 1 (March 2017), 3–11. https://doi.org/10.1177/0162643416681159
[29]
McKay Moore Sohlberg, Stephen Fickas, Pei-Fang Hung, and Andrew Fortier. 2007. A Comparison of Four Prompt Modes for Route Finding for Community Travellers with Severe Cognitive Impairments. Brain Injury 21, 5 (Jan. 2007), 531–538. https://doi.org/10.1080/02699050701311000
[30]
Shoko Wakamiya, Hiroshi Kawasaki, Yukiko Kawai, Adam Jatowt, Eiji Aramaki, and Toyokazu Akiyama. 2016. Lets Not Stare at Smartphones While Walking: Memorable Route Recommendation by Detecting Effective Landmarks. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. ACM, Heidelberg Germany, 1136–1146. https://doi.org/10.1145/2971648.2971758
[31]
Nina Wenig, Dirk Wenig, Steffen Ernst, Rainer Malaka, Brent Hecht, and Johannes Schöning. 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 ’17). Association for Computing Machinery, New York, NY, USA, 1–13. https://doi.org/10.1145/3098279.3098529
[32]
Chris Yoon, Ryan Louie, Jeremy Ryan, MinhKhang Vu, Hyegi Bang, William Derksen, and Paul Ruvolo. 2019. Leveraging Augmented Reality to Create Apps for People with Visual Disabilities: A Case Study in Indoor Navigation. In The 21st International ACM SIGACCESS Conference on Computers and Accessibility. ACM, Pittsburgh PA USA, 210–221. https://doi.org/10.1145/3308561.3353788

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences
MuC '23: Proceedings of Mensch und Computer 2023
September 2023
593 pages
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 September 2023

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. assistive technology
  2. cognitive impairment
  3. landmark training
  4. participation
  5. usability study

Qualifiers

  • Short-paper
  • Research
  • Refereed limited

Funding Sources

  • Leibniz Gemeinschaft, Niedersächsisches Ministerum für Wissenschaft und Kultur (MWK)

Conference

MuC '23
MuC '23: Mensch und Computer 2023
September 3 - 6, 2023
Rapperswil, Switzerland

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 66
    Total Downloads
  • Downloads (Last 12 months)32
  • Downloads (Last 6 weeks)10
Reflects downloads up to 07 Mar 2025

Other Metrics

Citations

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format.

HTML Format

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media