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Was it worth the hassle?: ten years of mobile HCI research discussions on lab and field evaluations

Published:23 September 2014Publication History

ABSTRACT

Evaluation is considered one of the major cornerstones of human-computer interaction (HCI). During the last decade, several studies have discussed pros and cons of lab and field evaluations. Based on these discussions, we conduct a review to explore the past decade of mobile HCI research on field and lab evaluation, investigating responses in the literature to the "is it worth the hassle?" paper from 2004. We find that while our knowledge and experience with both lab and field studies have grown considerably, there is still no definite answer to the lab versus field question. In response we suggest that the real question is not if -- but when and how -- to go into the field. In response we suggest moving beyond usability evaluations, and to engage with field studies that are truly in-the-wild, and longitudinal.

References

  1. Abdulrazak, B. and Malik, Y. Review of Challenges, Requirements, and Approaches of Pervasive Computing System Evaluation. IETE Technical Review 29, 6 (2012), 506--522.Google ScholarGoogle ScholarCross RefCross Ref
  2. Alsos, O. A. and Dabelow, B. A comparative evaluation study of basic interaction techniques for PDAs in pointof-care situations. Proc. P-Health'10, IEEE (2010), 1--8.Google ScholarGoogle Scholar
  3. Axup, J. Building a Path For Future Communities. In Handbook of Research on Socio-Technical Design, (2008), 3--20.Google ScholarGoogle Scholar
  4. Baillie, L. and Schatz, R. Exploring Multimodality in the Laboratory and the Field. Proc. CMI'05, ACM (2005), 100--107. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Barnard, L., Y, J. S., Jacko, J. A. and Sears, A. An empirical comparison of use-in-motion evaluation scenarios for mobile computing devices. IJHCS 62 (2005), 487--520. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Barnard, L., Yi, J.S., Jacko, J. and Sears, A. Capturing the effect of context on human performance in mobile computing. Pers Ubiquit Comput 11 (2007), 81--96. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Billi, M., Burzagli, L., Catarci, T., Santucci, G., Bertini, E., Gabbanini, F. and Palchetti, E. Unified methodology for evaluation of accessibility and usability of mobile applications. Univ. Access Inf. Soc., 9 (2010), 337--356. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Brown, B., Reeves, S., and Sherwood, S. Into the Wild: Challenges and Opportunities for Field Trial Methods. Proc. CHI'11, ACM (2011), 1657--1666. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Burghardt, D. and Wirth, K. Comparison of Evaluation Methods for Field-Based Usability Studies of Mobile Map Applications. Proc. International Cartographic Conference (2011).Google ScholarGoogle Scholar
  10. Carter, S. Techniques and tools for field-based early-stage study and iteration of ubicomp applications: A dissertation proposal. University of California, 2005.Google ScholarGoogle Scholar
  11. Carter, S., Mankoff, J., Klemmer, S. R. and Matthews, T. Exiting the Cleanroom: On Ecological Validity and Ubiquitous Computing. Human-Computer Interaction 23, 1, (2008), 47--99.Google ScholarGoogle ScholarCross RefCross Ref
  12. Crabtree, A., Chamberlain, A., Grinter, R. E., Jones, M., Rodden, T. and Rogers, Y. Introduction to the Special Issue of "The Turn to The Wild". TOCHI 20, 3 (2013). Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Dahl, Y., Alsos, O. A. and Svanæs, D. Evaluating Mobile Usability: The Role of Fidelity in Full-Scale Laboratory Simulations with Mobile ICT for Hospitals, Proc. HCII'09, Springer (2009), 232--241. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Dahl, Y. Seeking a Theoretical Foundation for Design of In Sitro Usability Assessments. Proc. NordiCHI'10, ACM (2010), 623--626. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Davies, N., Cheverst, K., Dix, A. and Hesse, A. Understanding the Role of Image Recognition in Mobile Tour Guides. Proc. Mobile HCI'05, ACM (2005), 191--198. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Dearman, D., Hawkey, K. and Inkpen, K.M. Rendezvousing with location-aware devices. IwC 17 (2005), 524--566. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Duh, H. B., Tan, G. and Chen, V. H. Usability Evaluation for Mobile Devices: A Comparison of Laboratory and Field Tests. Proc. Mobile HCI'06, ACM (2006), 181--186. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Fiotakis, G., Raptis, D. and Avouris, N. Considering Cost in Usability Evaluation of Mobile Applications: Who, Where and When. Proc. Interact'09, Springer (2009), 231--234. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Gelderblom, H., Bruin, J. and Singh, A. Three Methods for Evaluating Mobile Phone Applications Aimed Users in a Developing Environment: AComparative Case Study. Proc. M4D'12 (2012), 321--334.Google ScholarGoogle Scholar
  20. Hagen, P., Robertson, T., Kan, M. and Sadler, K. Emerging research methods for understanding mobile technology use. Proc. OzCHI'05, CHISIG (2005), 1--10. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Holone, H., Mislund, G., Tolsby, H. and Kristoffersen, S. Aspects of personal navigation with collaborative feedback. Proc. NordiCHI'08, ACM (2008), 182--191. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Howell, M., Love, S. and Turner, M. The impact of interface metaphor and context of use on the usability of a speech-based mobile city guide service. Behaviour & Information Technology 24, 1 (2005): 67--78.Google ScholarGoogle ScholarCross RefCross Ref
  23. Holzinger, A., Schlögl, M., Peischl, B. and Debevc, M. Optimization of a handwriting recognition algorithm for a mobile enterprise health information system on the basis of real-life usability research. Proc. ICETE'10, Springer (2010), 97--111.Google ScholarGoogle Scholar
  24. Høegh, R. T., Kjeldskov, J., Skov, M. B. and Stage J. Setting Up A Field Laboratory for Evaluating In Situ. In Handbook of Research on User Interface Design and Evaluation for Mobile Technology, ISR, 2008.Google ScholarGoogle Scholar
  25. Iachello, G. and Terrenghi, L. Mobile HCI 2004: Experience and Reflection. Pervasive Computing, JanMar (2005), 88--91. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. Jambon, F., Golanski, C. and Pommier, P. J. Meta-evaluation of a context-aware mobile device usability. Proc. UBICOMM, IEEE (2007), pp. 21--26. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. Jambon, F. and Meillon, B. User Experience in the Wild. Proc. CHI'09 EA, ACM (2009), 4069--4074. Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. Johnson, P. Usability and Mobility; Interactions on the move. Proc. Mobile HCI'98, GIST Technical Report G98-1 (1998)Google ScholarGoogle Scholar
  29. Jumisko-Pyykkö, S. and Utriainen, T. (2011) A Hybrid Method for Quality Evaluation in the Context of Use for Mobile (3D) Television. Multimedia Tools and Applications, 55(2): 185--225. Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. Kaikkonen, A., Kekäläinen, A., Cankar, M., Kallio, T. and Kankainen, A. Usability Testing of Mobile Applications: A Comparison between Laboratory and Field Testing. Journal of Usability Studies 1, 1 (2005), 4--16.Google ScholarGoogle Scholar
  31. Kaikkonen, A., Kekäläinen, A., Cankar, M., Kallio, T., and Kankainen, A. Will laboratory test results be valid in mobile contexts? In Handbook of Research on User Interface Design and Evaluation for Mobile Technology, ISR, 2008.Google ScholarGoogle Scholar
  32. Kalnikaite, V., Bird, J. and Rogers, Y. Decision-making in the aisles: informing, overwhelming or nudging supermarket shoppers' Pers Ubiquit Comput 17 (2013), 1247--1259. Google ScholarGoogle ScholarDigital LibraryDigital Library
  33. Kellar, M., Inkpen, K., Dearman, D., et al. Evaluation of Mobile Collaboration: Learning from our Mistakes. Technical Report 2004-13, Dalhousie University, 2004.Google ScholarGoogle Scholar
  34. Khanum, M. A. and Trivedi, M. C. Comparison of Testing Environments with Children for Usability Problem Identification. International Journal of Engineering and Technology 5, 3 (2013), 2048--2053.Google ScholarGoogle Scholar
  35. Kjeldskov J. and Graham C. A Review of Mobile HCI Research Methods. Proc. Mobile HCI'03, Springer (2003), 317--335.Google ScholarGoogle ScholarCross RefCross Ref
  36. Kjeldskov, J., Skov, M. B., Als, B. S. and Høegh, R. T. Is it Worth the Hassle? Exploring the Added Value of Evaluating the Usability of Context-Aware Mobile Systems in the Field. Proc. Mobile HCI'04, Springer (2004), 61--73.Google ScholarGoogle ScholarCross RefCross Ref
  37. Kjeldskov, J., Graham, C., Pedell, S., Vetere, F., Howard, S., Balbo, S. and Davies, J. Evaluating the usability of a mobile guide: The influence of location, participants and resources. Behaviour & Information Technology 24, 1 (2005), 51--65.Google ScholarGoogle ScholarCross RefCross Ref
  38. Kjeldskov, J. and Stage, J. Exploring 'Canned Communication' for coordinating distributed mobile work activities. IwC 18 (2006) 1310--1335. Google ScholarGoogle ScholarDigital LibraryDigital Library
  39. Kjeldskov, J. and Paay, J. A Longitudinal Review of Mobile HCI Research Methods. Proc. Mobile HCI'12, ACM (2012), 69--78. Google ScholarGoogle ScholarDigital LibraryDigital Library
  40. Kondratova, I., Lumsden, J. and Langton, N. Multimodal Field Data Entry: Performance and Usability Issues. Proc. International Conference on Computing and Decision Making NRC-CNRC (2006).Google ScholarGoogle Scholar
  41. Korn, M. and Bødker, S. Looking ahead: how field trials can work in iterative and exploratory design of ubicomp systems. Proc. UbiComp'12, ACM (2012), 21--30. Google ScholarGoogle ScholarDigital LibraryDigital Library
  42. Kray, C., Olivier, P., Guo, A. W., Singh, P., Ha, H. N. and Blythe, P. Taming Context: A Key Challenge in Evaluating the Usability of Ubiquitous Systems. Proc. USE'07 Workshop at Ubicomp'07 (2007).Google ScholarGoogle Scholar
  43. Larsen, J. E., Petersen, M. K., Handler, R. and Zandi, N. Observing the Context of Use of a Media Player on Mobile Phones using Embedded and Virtual Sensors. Proc. NordiCHI'10, ACM (2010), 33--36.Google ScholarGoogle Scholar
  44. Leitner, G., Ahlström, D. and Hitz, M. Usability of Mobile Computing in Emergency Response Systems - Lessons Learned and Future Directions. Proc. USAB'07. Springer (2007), 241--254. Google ScholarGoogle ScholarDigital LibraryDigital Library
  45. Lumsden, J., Kondratova, I. and Durling, S. Investigating microphone efficacy for mobile speech-based data entry. Proc. HCI'07, Springer (2007), 89--97. Google ScholarGoogle ScholarDigital LibraryDigital Library
  46. Lumsden, J. and MacLean, R. A Comparison of PseudoPaper and Paper Prototyping Methods for Mobile Evaluations. Proc. MONET'08 (2008), 538--457. Google ScholarGoogle ScholarDigital LibraryDigital Library
  47. Lumsden, J., Langton, N., and Kondratova, I. Bringing the High Seas into the Lab to Evaluate Speech Input Feasibility: A Case Study. Proc. SiMPE Workshop at Mobile HCI'10 (2010).Google ScholarGoogle Scholar
  48. Maly, I., Mikovec, Z., Vystrcil, J., Franc, J. and Slavik, P. An evaluation tool for research of user behavior in a realistic mobile environment. Pers Ubiquit Comput 17 (2013), 3--14. Google ScholarGoogle ScholarDigital LibraryDigital Library
  49. Morrison, A., McMillan, D., Reeves, S., Sherwood, S., and Chalmers, M. A Hybrid Mass Participation Approach to Mobile Software Trials. Proc. CHI'12, ACM (2012), 1311--1320. Google ScholarGoogle ScholarDigital LibraryDigital Library
  50. Nielsen, C. M., Overgaard, M., Pedersen, M. B., Stage, J. and Stenild, S. It's Worth the Hassle! The Added Value of Evaluating the Usability of Mobile Systems in the Field. Proc. NordiCHI'06, ACM (2006), 272--280. Google ScholarGoogle ScholarDigital LibraryDigital Library
  51. Oulasvirta, A., Tamminen, S., Roto, V. and Kuorelahti. Interaction in 4-second Bursts: The Fragmented Nature of Attentional Resources in Mobile HCI. Proc. CHI'05, ACM (2005), 919--928. Google ScholarGoogle ScholarDigital LibraryDigital Library
  52. Oulasvirta, A. and Nyyssönen, T. Flexible Hardware Configurations for Studying Mobile Usability. Journal of Usability Studies 4, 2 (2009), 93--105.Google ScholarGoogle Scholar
  53. Oulasvirta, A. Rethinking Experimental Designs for Field Evaluations. Pervasive Computing, Oct-Dec (2012), 60--67. Google ScholarGoogle ScholarDigital LibraryDigital Library
  54. Rogers, Y., Connelly, K., Tedesco, L., Hazlewood, W., Kurtz, A., Hall, R. E., Hursey, J., and Toscos, T. Why It's Worth the Hassle: The Value of In-Situ Studies When Designing Ubicomp. Proc. UbiComp'07, Springer (2007), 336--353. Google ScholarGoogle ScholarDigital LibraryDigital Library
  55. Roto, V., Väätäjä, H., Jumisko-Pyykkö, S., and Väänänen-Vainio-Mattila, K. Best Practices for Capturing Context in User Experience Studies in the Wild. Proc. MindTrek'11 (2011), 91--98. Google ScholarGoogle ScholarDigital LibraryDigital Library
  56. Skattør, B. Training and Deployment as a basis for Usability Engineering of Mobile Systems. Proc. ACHI, IEEE (2008), 277--284. Google ScholarGoogle ScholarDigital LibraryDigital Library
  57. Streefkerk, J. W., van Esch-Bussemakers, M. P. and Neerincx, M. A. Field Evaluation of a Mobile Location-Based Notification System for Police Officers. Proc. Mobile HCI'08, ACM (2008), 101--108. Google ScholarGoogle ScholarDigital LibraryDigital Library
  58. Sun, X. and May, A. A Comparison of Field-Based and Lab-Based Experiments to Evaluate User Experience of Personalised Mobile Devices. Adv. in Hum.-Comp. Int., Hindawi (2013), Article 2. Google ScholarGoogle ScholarDigital LibraryDigital Library
  59. Tolmie, P., Crabtree, A., Egglestone, S., Humble, J., Greenhalgh, C. and Rodden, T. Digital Plumbing: the mundane work of deploying UbiComp in the home. Pers Ubiquit Comput 14 (2010), 181--196. Google ScholarGoogle ScholarDigital LibraryDigital Library
  60. Vastenburg, M. H., Keyson, D. V. and de Ridder, H. Measuring User Experiences of Prototypical Autonomous Products in a Simulated Home Environment. Proc. HCII'07, Springer (2007), 998--1007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  61. Wilfinger, D., Pirker, M., Bernhaupt, R. and Tscheligi, M. Evaluating and Investigating an iTV Concept in the Field. Proc. EuroITV'09, ACM (2009), 175--178. Google ScholarGoogle ScholarDigital LibraryDigital Library
  62. Wilson, M. L, Russel, A., Smith, D. A. and schraefel, m. c. mSpace Mobile: Exploring Support for Mobile Tasks. Proc. HCI'06, Springer (2006), 193--202.Google ScholarGoogle Scholar
  63. Wilson, S., Galliers, J. and Fone, J. (2007) Cognitive Artifacts in Support of Medical Shift Handover: An in Use, in Situ Evaluation. IJHCS 22, 1&2 (2007), 59--80Google ScholarGoogle Scholar
  64. Wilson, M. L., Mackay, W., Chi, E., Berstein, M., Russell, D. and Thimbleby, H. RepliCHI - CHI should be replicating and validating results more: discuss. Proc. CHI'11 EA, ACM (2011), 463--466. Google ScholarGoogle ScholarDigital LibraryDigital Library

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    • Published in

      cover image ACM Conferences
      MobileHCI '14: Proceedings of the 16th international conference on Human-computer interaction with mobile devices & services
      September 2014
      664 pages
      ISBN:9781450330046
      DOI:10.1145/2628363

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      Publication History

      • Published: 23 September 2014

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