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Controllability matters: The user experience of adaptive maps

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Abstract

Adaptive map interfaces have the potential of increasing usability by providing more task dependent and personalized support. It is unclear, however, how map adaptation must be designed to avoid a loss of control, transparency, and predictability. This article investigates the user experience of adaptive map interfaces in the context of gaze-based activity recognition. In a Wizard of Oz experiment we study two adaptive map interfaces differing in the degree of controllability and compare them to a non-adaptive map interface. Adaptive interfaces were found to cause higher user experience and lower perceived cognitive workload than the non-adaptive interface. Among the adaptive interfaces, users clearly preferred the condition with higher controllability. Results from structured interviews reveal that participants dislike being interrupted in their spatial cognitive processes by a sudden adaptation of the map content. Our results suggest that adaptive map interfaces should provide their users with control at what time an adaptation will be performed.

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Notes

  1. Example user comment on ‘Clippy’: ‘It’s not very helpful. You’ve got to stop what you’re doing and click on it.’ [56].

  2. Transitions between different adaptation types are also possible, but not considered further here. For instance, a system could employ a transient automatic adaptation and then, once the adaptation automatically disappears, switch to another adaptation type, such as the toggable adaptation, offering manual adaptation. This does not form a new type of adaptation, but rather possible transitions between adaptation types.

  3. http://www.smivision.com/en.html

References

  1. Abowd GD, Dey AK, Brown PJ, Davies N, Smith M, Steggles P (1999) Towards a better understanding of context and context-awareness. In: Handheld and ubiquitous computing. Springer, pp 304–307

  2. Bao L, Intille SS (2004) Activity recognition from user-annotated acceleration data. In: Pervasive computing. Springer, pp 1–17

  3. Barkowsky T, Freksa C (1997) Cognitive requirements on making and interpreting maps. In: Spatial Information Theory A Theoretical Basis for GIS. Springer, pp 347–361

  4. Baus J, Krüger A, Wahlster W (2002) A resource-adaptive mobile navigation system. In: Proceedings of the 7th international conference on Intelligent user interfaces. ACM, pp 15–22

  5. Borji A, Itti L (2014) Defending yarbus: Eye movements reveal observers’ task. J Vis 14(3):29

    Article  Google Scholar 

  6. Bulling A, Ward J, Gellersen H, Tröster G, et al. (2011) Eye movement analysis for activity recognition using electrooculography. IEEE Trans Pattern Anal Mach Intell 33(4):741–753

    Article  Google Scholar 

  7. Çöltekin A, Heil B, Garlandini S, Fabrikant SI (2009) Evaluating the effectiveness of interactive map interface designs: a case study integrating usability metrics with eye-movement analysis. Cartogr Geogr Inf Sci 36(1):5–17

    Article  Google Scholar 

  8. Dessart CE, Genaro Motti V, Vanderdonckt J (2011) Showing user interface adaptivity by animated transitions. In: Proceedings of the 3rd ACM SIGCHI symposium on Engineering interactive computing systems, pp 95–104. ACM

  9. Duchowski A (2007) Eye tracking methodology: Theory and practice, vol 373. Springer Science & Business Media

  10. Findlater L, McGrenere J (2008) Impact of screen size on performance, awareness, and user satisfaction with adaptive graphical user interfaces. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, pp 1247–1256

  11. Fischer G (1993) Shared knowledge in cooperative problem-solving systems - integrating adaptive and adaptable components. In: Schneider-Hufschmidt M, Kühme T, Malinowski U (eds) Adaptive User Interfaces. Elsevier Science Publishers, Amsterdam

  12. Fischer G, Lemke A, Schwab T (1985) Knowledge-based help systems. In: Human Factors in Computing Systems (CHI’85). ACM, New York, USA, pp 161–167

  13. Gajos KZ, Czerwinski M, Tan DS, Weld DS (2006) Exploring the design space for adaptive graphical user interfaces. In: Proceedings of the working conference on Advanced visual interfaces. ACM, pp 201–208

  14. Gajos KZ, Everitt K, Tan DS, Czerwinski M, Weld DS (2008) Predictability and accuracy in adaptive user interfaces. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, pp 1271–1274

  15. Giannopoulos I, Kiefer P, Raubal M (2012) GeoGazemarks: Providing gaze history for the orientation on small display maps. In: Proceedings of the 14th International Conference on Multimodal Interaction, ICMI ’12. doi:10.1145/2388676.2388711. ACM, New York, NY, USA, pp 165–172

  16. Giannopoulos I, Kiefer P, Raubal M (2015) GazeNav: Gaze-based pedestrian navigation. In: 17th International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI). ACM, pp 337–346

  17. Greenberg S, Witten IH (1985) Adaptive personalized interfaces - a question of viability. Behav Inform Technol 4(1):31–45

  18. Hart SG, Staveland LE (1988) Development of nasa-tlx (task load index): Results of empirical and theoretical research. In: Hancock PA , Meshkati N (eds) Human Mental Workload, Advances in Psychology, vol 52, North-Holland, pp 139–183

  19. Haunert JH, Sering L (2011) Drawing road networks with focus regions. IEEE Trans Vis Comput Graph 17(12):2555–2562

    Article  Google Scholar 

  20. Hegarty M, Richardson AE, Montello DR, Lovelace K, Subbiah I (2002) Development of a self-report measure of environmental spatial ability. Intelligence 30 (5):425–447

    Article  Google Scholar 

  21. Höök K (2000) Steps to take before intelligent user interfaces become real. Interacting with computers 12(4):409–426

    Article  Google Scholar 

  22. Hui B, Partridge G, Boutilier C (2009) A probabilistic mental model for estimating disruption. In: Proceedings of the 14th international conference on Intelligent user interfaces. ACM, pp 287–296

  23. Kelley JF (1983) An empirical methodology for writing user-friendly natural language computer applications. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI ’83. ACM, New York, NY, USA, pp 193–196

  24. Kiefer P, Giannopoulos I, Kremer D, Schlieder C, Raubal M (2014) Starting to get bored: An outdoor eye tracking study of tourists exploring a city panorama. In: Proceedings of the Symposium on Eye Tracking Research and Applications, ETRA ’14. doi:10.1145/2578153.2578216. ACM, New York, NY, USA, pp 315–318

  25. Kiefer P, Giannopoulos I, Raubal M (2013) Using eye movements to recognize activities on cartographic maps. In: Proceedings of the 21st SIGSPATIAL International Conference on Advances in Geographic Information Systems. ACM, New York, NY, USA, pp 488–491

  26. Kiefer P, Giannopoulos I, Raubal M (2014) Where am I? Investigating map matching during self-localization with mobile eye tracking in an urban environment. Trans GIS 18(5):660–686. doi:10.1111/tgis.12067

    Article  Google Scholar 

  27. Kiefer P, Zhang Y, Bulling A (2015) The 5th international workshop on pervasive eye tracking and mobile eye-based interaction. In: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication, UbiComp ’15 Adjunct. ACM, New York, NY, USA, pp 825–828

  28. Kopf J, Agrawala M, Bargeron D, Salesin D, Cohen M (2010) Automatic generation of destination maps. In: ACM Transactions on Graphics (TOG), vol 29. ACM, pp 158:1–158:12

  29. Lallé S, Toker D, Conati C, Carenini G (2015) Prediction of users’ learning curves for adaptation while using an information visualization. In: Proceedings of the 20th International Conference on Intelligent User Interfaces. ACM, pp 357–368

  30. Laugwitz B, Held T, Schrepp M (2008) Construction and evaluation of a user experience questionnaire. In: Holzinger A (ed) HCI and Usability for Education and Work, Lecture Notes in Computer Science, vol 5298. Springer Berlin Heidelberg, pp 63–76

  31. Liao L, Fox D, Kautz H (2007) Hierarchical conditional random fields for gps-based activity recognition. In: Robotics Research. Springer, pp 487–506

  32. Lobo MJ, Pietriga E, Appert C (2015) An evaluation of interactive map comparison techniques. In: CHI’15 Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. ACM, pp 3573–3582

  33. Majaranta P, Räihä KJ (2002) Twenty years of eye typing: Systems and design issues. In: Proceedings of the 2002 Symposium on Eye Tracking Research & Applications, ETRA ’02. doi:10.1145/507072.507076. ACM, New York, NY, USA, pp 15–22

  34. May J, Gamble T (2014) Collocating interface objects: zooming into maps. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, pp 2085–2094

  35. McGrenere J, Baecker RM, Booth KS (2007) A field evaluation of an adaptable two-interface design for feature-rich software. ACM Transactions on Computer-Human Interaction (TOCHI) 14(1):3

    Article  Google Scholar 

  36. Meng L, Reichenbacher T (2005) Map-based mobile services. Springer

  37. Miniotas D, Špakov O, MacKenzie IS (2004) Eye gaze interaction with expanding targets. In: CHI’04 extended abstracts on Human factors in computing systems. ACM, pp 1255–1258

  38. Ooms K, De Maeyer P, Fack V, Van Assche E, Witlox F (2012) Interpreting maps through the eyes of expert and novice users. Int J Geogr Inf Sci 26 (10):1773–1788

    Article  Google Scholar 

  39. Pfeiffer M, Dünte T, Schneegass S, Alt F, Rohs M (2015) Cruise control for pedestrians: Controlling walking direction using electrical muscle stimulation. In: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, CHI ’15, ACM, New York, NY, USA, pp 2505–2514. doi:10.1145/2702123.2702190

  40. Qvarfordt P, Zhai S (2005) Conversing with the user based on eye-gaze patterns. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI ’05. doi:10.1145/1054972.1055004. ACM, New York, NY, USA, pp 221–230

  41. Raubal M, Panov I (2009) A formal model for mobile map adaptation. In: Location Based Services and TeleCartography II. Springer, pp 11–34

  42. Reichenbacher T (2001) Adaptive concepts for a mobile cartography. Glob J Geol Sci 11(1): 43–53

    Google Scholar 

  43. Reichenbacher T (2005) Adaptive egocentric maps for mobile users. In: Map-based Mobile Services. Springer, pp 141–158

  44. Reichenbacher T, De Sabbata S (2011) Geographic relevance: different notions of geographies and relevancies. Sigspatial Special 3(2):67–70

    Article  Google Scholar 

  45. Rosman B, Ramamoorthy S, Mahmud M, Kohli P (2014) On user behaviour adaptation under interface change. In: Proceedings of the 19th international conference on Intelligent User Interfaces. ACM, pp 273–278

  46. Rukzio E, Müller M, Hardy R (2009) Design, implementation and evaluation of a novel public display for pedestrian navigation: the rotating compass. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, pp 113–122

  47. Sarjakoski LT, Nivala AM (2005) Adaptation to context - a way to improve the usability of mobile maps. In: Map-based Mobile Services. Springer, pp 107–123

  48. Schmid F (2008) Knowledge-based wayfinding maps for small display cartography. Journal of Location Based Services 2(1):57–83

    Article  Google Scholar 

  49. Schmid F, Kuntzsch C, Winter S, Kazerani A, Preisig B (2010) Situated local and global orientation in mobile you-are-here maps. In: Proceedings of the 12th international conference on Human computer interaction with mobile devices and services. ACM, pp 83–92

  50. Schmidt A (2000) Implicit human computer interaction through context. Pers Technol 4(2-3):191– 199

    Article  Google Scholar 

  51. Slocum TA (2009) Thematic cartography and geovisualization Prentice hall

  52. Steil J, Bulling A (2015) Discovery of everyday human activities from long-term visual behaviour using topic models. In: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp ’15. ACM, New York, NY, USA, pp 75–85

  53. Stuerzlinger W, Chapuis O, Phillips D, Roussel N (2006) User interface façades: towards fully adaptable user interfaces. In: Proceedings of the 19th annual ACM symposium on User interface software and technology. ACM, pp 309–318

  54. Tseng YC, Howes A (2008) The adaptation of visual search strategy to expected information gain. In: Proceedings of the SIGCHI conference on Human factors in computing systems. ACM, pp 1075–1084

  55. Wang F, Li Y, Sakamoto D, Igarashi T (2014) Hierarchical route maps for efficient navigation. In: Proceedings of the 19th international conference on Intelligent User Interfaces. ACM, pp 169–178

  56. Xiao J, Catrambone R, Stasko J (2003) Be quiet? evaluating proactive and reactive user interface assistants. In: Proceedings of INTERACT, vol 3, pp 383–390

  57. Yamabe T, Takahashi K (2007) Experiments in mobile user interface adaptation for walking users. In: Intelligent Pervasive Computing, 2007. IPC. The 2007 International Conference on IEEE, pp 280–284

  58. Zhao J, Wigdor D, Balakrishnan R (2013) Trailmap: facilitating information seeking in a multi-scale digital map via implicit bookmarking. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, pp 3009–3018

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Kiefer, P., Giannopoulos, I., Athanasios Anagnostopoulos, V. et al. Controllability matters: The user experience of adaptive maps. Geoinformatica 21, 619–641 (2017). https://doi.org/10.1007/s10707-016-0282-x

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