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Design Principles for Interactive and Reflective Journaling with AI

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Intelligent Computing (SAI 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 739))

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Abstract

Designing for reflection and journaling have been prominent research areas in HCI and Interaction Design. However, designing for the experience of journaling that is supported by conversations with AI–Conversational Agent (CA)–to foster reflection seems to be a relatively unexplored area. Furthermore, while there are an abundant number of general guidelines and design principles for designing human-AI interactions, a set of guidelines for designing an interactive and reflective journaling experience with AI is lacking. This paper is a first attempt to address that need. We present the result of a qualitative user study on interactive and reflective journaling. We were interested in attending to our participants’ experiences and finding out their needs regarding the interactive journaling experience with CA. The user needs then were translated to design requirements and thereafter to themes or design principles. Some of our findings suggest that one of the important factors in journaling is the personal aesthetics of writing, by using carefully selected personal tools, specific materiality and interactions. Further, the flow of writing is considered sacred, hence it is almost like an untouchable, reflective ritualistic flow. Reflecting on the findings, we believe the outcome of this study can create opportunities for designing for human-AI interactions that are generative and reflective for activities that require such qualities, such as journaling or creativity.

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References

  1. Terzimehić, N., Schött, S.Y., Bemmann, F., Buschek, D.: Memeories: internet memes as means for daily journaling. In: Designing Interactive Systems Conference 2021, pp. 538–548. Association for Computing Machinery, New York (2021). https://doi.org/10.1145/3461778.3462080

  2. Blake, T.K.: Journaling; an active learning technique. Int. J. Nurs. Educ. Sch. 2 (2005). https://doi.org/10.2202/1548-923X.1116

  3. Corbin Frazier, L., Eick, C.: Approaches to critical reflection: written and video journaling. Reflective Pract. 16, 575–594 (2015). https://doi.org/10.1080/14623943.2015.1064374

    Article  Google Scholar 

  4. Hubbs, D.L., Brand, C.F.: The paper mirror: understanding reflective journaling. J. Exper. Educ. 28, 60–71 (2005). https://doi.org/10.1177/105382590502800107

    Article  Google Scholar 

  5. Hughes, H.W., Kooy, M., Kanevsky, L.: Dialogic reflection and journaling the clearing house. J. Educ. Strat. Issues Ideas. 70, 187–190 (1997). https://doi.org/10.1080/00098655.1997.10544193

    Article  Google Scholar 

  6. Ullrich, P.M., Lutgendorf, S.K.: Journaling about stressful events: effects of cognitive processing and emotional expression. Ann. Behav. Med. 24, 244–250 (2002). https://doi.org/10.1207/S15324796ABM2403_10

    Article  Google Scholar 

  7. Stamper, C.E.: Fostering reflective thinking through computer-mediated journaling. Arizona State University (1996)

    Google Scholar 

  8. Ong, L.T.R., Pemberton, R.: Enhancing classroom learning through computer-mediated reflective writing and peer feedback. J. Mod. Lang. 19, 99–120 (2009)

    Google Scholar 

  9. Zhang, Y., Parker, A.G.: Eat4Thought: a design of food journaling. In: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, pp. 1–8. Association for Computing Machinery, New York (2020). https://doi.org/10.1145/3334480.3383044

  10. Kocielnik, R., Xiao, L., Avrahami, D., Hsieh, G.: Reflection companion: a conversational system for engaging users in reflection on physical activity. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2, 70:1–70:26 (2018). https://doi.org/10.1145/3214273

  11. Kocielnik, R., Avrahami, D., Marlow, J., Lu, D., Hsieh, G.: Designing for workplace reflection: a chat and voice-based conversational agent. In: Proceedings of the 2018 Designing Interactive Systems Conference, pp. 881–894 (2018)

    Google Scholar 

  12. Deibel, D., Evanhoe, R.: Conversations with Things: UX Design for Chat and Voice. Rosenfeld Media (2021)

    Google Scholar 

  13. Yang, X., Aurisicchio, M., Baxter, W.: Understanding affective experiences with conversational agents. In: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, pp. 1–12. Association for Computing Machinery, New York (2019). https://doi.org/10.1145/3290605.3300772

  14. Liao, Q.V., Shmueli-Scheuer, M., Wen, T.-H., Yu, Z.: User-aware conversational agents. In: Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion, pp. 133–134 (2019)

    Google Scholar 

  15. Pirzadeh, A., He, L., Stolterman, E.: Personal informatics and reflection: a critical examination of the nature of reflection. In: CHI 2013 Extended Abstracts on Human Factors in Computing Systems, pp. 1979–1988 (2013)

    Google Scholar 

  16. Nakamura, K., Feng, H., Priss, S., Mei, H.: Designing for night-time reflection: how to support night-time reflection through non-digital means. In: The 39th ACM International Conference on Design of Communication, pp. 386–388 (2021)

    Google Scholar 

  17. Tholander, J., Normark, M.: Crafting personal information - resistance, imperfection, and self-creation in bullet journaling. In: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, pp. 1–13. Association for Computing Machinery, New York (2020)

    Google Scholar 

  18. Ghajargar, M., De Marco, A., Montagna, F.: In: Wise Things: when smart objects stimulate reflection (2017)

    Google Scholar 

  19. Ghajargar, M., Wiberg, M., Stolterman, E.: Designing IoT systems that support reflective thinking: a relational approach. Int. J. Des. 12, 21–35 (2018)

    Google Scholar 

  20. Fleck, R., Fitzpatrick, G.: Reflecting on reflection: framing a design landscape. In: Proceedings of the 22nd Conference of the Computer-Human Interaction Special Interest Group of Australia on Computer-Human Interaction, pp. 216–223. Association for Computing Machinery, New York (2010). https://doi.org/10.1145/1952222.1952269

  21. Ghajargar, M., Wiberg, M.: Thinking with interactive artifacts: reflection as a concept in design outcomes. Des. Issues 34, 48–63 (2018). https://doi.org/10.1162/DESI_a_00485

    Article  Google Scholar 

  22. Baumer, E.P.S., Khovanskaya, V., Matthews, M., Reynolds, L., Schwanda Sosik, V., Gay, G.: Reviewing reflection: on the use of reflection in interactive system design. In: Proceedings of the 2014 Conference on Designing Interactive Systems, pp. 93–102. Association for Computing Machinery, New York (2014). https://doi.org/10.1145/2598510.2598598

  23. Ghajargar, M., Bardzell, J.: Synthesis of forms: integrating practical and reflective qualities in design. In: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, pp. 1–12. Association for Computing Machinery, New York (2021). https://doi.org/10.1145/3411764.3445232

  24. Hall, E.: Conversational Design. A Book Apart (2018)

    Google Scholar 

  25. Luger, E., Sellen, A.: Like having a really bad PA” the gulf between user expectation and experience of conversational agents. In: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, pp. 5286–5297 (2016)

    Google Scholar 

  26. van Berkel, N., Skov, M.B., Kjeldskov, J.: Human-AI interaction: intermittent, continuous, and proactive. Interactions 28, 67–71 (2021). https://doi.org/10.1145/3486941

  27. Allen, J.F., Byron, D.K., Dzikovska, M., Ferguson, G., Galescu, L., Stent, A.: Toward conversational human-computer interaction. AI Mag. 22, 27 (2001). https://doi.org/10.1609/aimag.v22i4.1590

    Article  Google Scholar 

  28. Norman, D.A.: How might people interact with agents. Commun. ACM 37, 68–71 (1994)

    Article  Google Scholar 

  29. Wärnestål, P.: Design av AI-drivna tjänster. Studentlitteratur AB (2021)

    Google Scholar 

  30. Amershi, S., et al.: Guidelines for human-AI interaction. In: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, pp. 1–13. Association for Computing Machinery, New York (2019). https://doi.org/10.1145/3290605.3300233

  31. Kulesza, T., Burnett, M., Wong, W.-K., Stumpf, S.: Principles of explanatory debugging to personalize interactive machine learning. In: Proceedings of the 20th International Conference on Intelligent User Interfaces, pp. 126–137 (2015)

    Google Scholar 

  32. Hummels, C., Van Dijk, J.: Seven principles to design for embodied sensemaking. In: Proceedings of the Ninth International Conference on Tangible, Embedded, and Embodied Interaction, pp. 21–28 (2015)

    Google Scholar 

  33. Cronholm, S., Göbel, H.: Design Principles For Human-Centred AI. ECIS 2022 Research Papers. (2022)

    Google Scholar 

  34. Ahmad, R., Siemon, D., Gnewuch, U., Robra-Bissantz, S.: Designing personality-adaptive conversational agents for mental health care. Inf. Syst. Front. 1–21 (2022). https://doi.org/10.1007/s10796-022-10254-9

  35. AI Ethics. https://www.ibm.com/artificial-intelligence/ethics. Accessed 27 July 2022

  36. Our Principles. https://ai.google/principles/. Accessed 27 July 2022

  37. Fundamentals. https://www.ibm.com/design/ai/fundamentals/#design-factors-for-ai. Accessed 27 July 2022

  38. Hanington, B., Martin, B.: Universal methods of design expanded and revised: 125 Ways to research complex problems, develop innovative ideas, and design effective solutions. Rockport publishers (2019)

    Google Scholar 

  39. van Boeijen, A., Daalhuizen, J., Zijlstra, J.: Delft Design Guide: Perspectives, Models, Approaches, Methods. BIS Publishers (2020)

    Google Scholar 

  40. Adu, P.: A Step-by-step Guide to Qualitative Data Coding. Routledge (2019)

    Google Scholar 

  41. Myers, M.D.: Qualitative Research in Business and Management. SAGE (2013)

    Google Scholar 

  42. Sharp, H., Preece, J., Rogers, Y.: Interaction Design: Beyond Human-Computer Interaction. Wiley (2019)

    Google Scholar 

  43. Bardzell, J., Bardzell, S.: Humanistic HCI. Synth. Lect. Hum.-Center. Inform. 8, 1–185 (2015). https://doi.org/10.2200/S00664ED1V01Y201508HCI031

    Article  Google Scholar 

  44. Petersen, M.G., Iversen, O.S., Krogh, P.G., Ludvigsen, M.: Aesthetic interaction: a pragmatist’s aesthetics of interactive systems. In: Proceedings of the 5th Conference on Designing Interactive Systems: Processes, Practices, Methods, and Techniques, pp. 269–276 (2004)

    Google Scholar 

  45. Abdul, A., Vermeulen, J., Wang, D., Lim, B.Y., Kankanhalli, M.: Trends and trajectories for explainable, accountable and intelligible systems: An HCI research agenda. In: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. pp. 1–18 (2018)

    Google Scholar 

  46. Bunt, A., Lount, M., Lauzon, C.: Are explanations always important? a study of deployed, low-cost intelligent interactive systems. In: Proceedings of the 2012 ACM international conference on Intelligent User Interfaces, pp. 169–178. Association for Computing Machinery, New York (2012). https://doi.org/10.1145/2166966.2166996

  47. Ghajargar, M., Persson, J., Bardzell, J., Holmberg, L., Tegen, A.: The UX of interactive machine learning. In: Proceedings of the 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society, pp. 1–3 (2020)

    Google Scholar 

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We would like to thank the people who participated in the user studies.

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Correspondence to Max Angenius .

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Angenius, M., Ghajargar, M. (2023). Design Principles for Interactive and Reflective Journaling with AI. In: Arai, K. (eds) Intelligent Computing. SAI 2023. Lecture Notes in Networks and Systems, vol 739. Springer, Cham. https://doi.org/10.1007/978-3-031-37963-5_6

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