臺灣博碩士論文加值系統

Mentorship plays a critical role in fostering personalized development, motivation, and self-confidence for learners. However, a successful mentorship experience hinges on a strong initial pairing between mentor and mentee. While research has explored various aspects of mentor matching, the communication and matching process within the online platform's initial phase remains under-investigated. This gap is particularly relevant in the digital age, where online mentorship platforms offer vast connection potential. This research addresses this gap by leveraging technology to enhance online text-based communication and personalize the online mentor-seeking journey. Utilizing an interactive simulated prototype named SparkGrow, the research explores user experiences with online text-based communication during the initial stages of mentorship. The research aims to (1) Understand user experiences during online text-based communication with potential mentors, (2) Explore the potential of Artificial Intelligence-Mediated Communication (AI-MC) to create a more efficient, effective, and accessible online mentor-seeking experience. In this study, user behavior is explored through the lens of Self-Determination Theory (SDT), and the Design Thinking framework is applied to develop user-centric solutions. Through interviews, questionnaires, user analysis, Quality Function Deployment (QFD), and prototype testing, the research investigates user perceptions of online mentor communication and explores how AI-MC can improve these interactions. The research findings indicate that integrating AI-MC tools into the chat design significantly enhances online communication with potential mentors. The platform effectively addresses communication challenges and supports users' psychological needs for competence and autonomy, although further improvements are needed to foster relatedness. While the "Suggesting Content Using Conversational/Background Information" feature positively influences technology adoption and user experience, the impact of "Translation" and "Adjusting Tone and Content" features requires further investigation. Moreover, user feedback emphasizes the importance of transparency regarding AI involvement and suggests design improvements to streamline interactions and enhance user experience. These findings highlight areas for future research to improve the relatedness aspect of users' psychological needs, refine the tone-adjusting and translation features to better align with user needs, and investigate the impact of visual design elements on user engagement. Furthermore, expanding the sample size, testing in diverse contexts, assessing non-verbal communication, exploring multiple social dilemma scenarios, and developing a fully functional AI-MC platform for real-world testing are potential avenues for future implementation. This research provides insights into user mentor-seeking behavior and the applications of AI-mediated communication in online mentorship, which could improve the overall user experience, as well as user interaction and perceptions of using AI in communication.

ABSTRACT i
Table of Contents iii
List of Tables vii
List of Figures ix
List of Acronyms and Abbreviations xi
Chapter 1 Introduction 1
1.1 Research Background 1
1.2 Research Motivation 4
1.3 Research Objective, Scope, And Limitation 4
1.4 Research Structure 6
1.5 Research Questions 7
1.6 Research Importance 8
Chapter 2 Literature Review 9
2.1 Mentorship 9
2.1.1 Mentorship in Online Environment 9
2.1.2 Mentor-Mentee Matching Process and Communication 10
2.1.3 Criteria For Identifying A Good Match 11
2.1.4 Technological Advancements in Supporting Mentorship 13
2.2 AI-Mediated Communication (AI-MC) 14
2.2.1 The Rise of AI-Mediated Communication 14
2.2.2 The Power of Large Language Models (LLMs) for AI-MC 15
2.3 Theory And Methods 16
2.3.1 Self-Determination Theory (SDT) 16
2.3.2 Design Thinking 18
2.4 Evaluation Metrics 20
2.4.1 Quality Function Deployment (QFD) 20
2.4.2 Metux Model 20
2.4.3 Interview 22
Chapter 3 Methodology 23
3.1 Research Framework 23
3.2 Data Collection (Pilot Study) 24
3.2.1 Study Area 24
3.2.2 Participant Recruitment 25
3.2.3 Interview and Survey Structure 25
3.3 Prototype Development 26
3.3.1 Persona 27
3.3.2 User Journey Map 28
3.3.3 Quality Function Deployment 30
3.3.4 Prototype Development 35
3.4 Experiment Design 43
3.4.1 Case Study 43
3.4.2 Participants Recruitment 44
3.4.3 Research Instruments 45
3.4.4 Experimental Process 47
Chapter 4 Research Results 50
4.1 Pilot Study Results 50
4.2 Main Study Results – Survey Results 58
4.2.1 Overall User Perceived Usefulness 60
4.2.2 The Relations Between Individual Features and The Overall Perceived Usefulness 63
4.2.3 Comparison Of Perceived Usefulness Based on Prior Online Mentorship Experience 65
4.2.4 Comparison Of Perceived Usefulness Of AI-MC Features Across Different Levels of Feature Familiarity 66
4.2.5 The Design's Usefulness in Addressing Challenges and Facilitating Mentor-Seeking 69
4.2.6 The Relations Between AI-MC Features and Aspects of User Experience 72
4.2.7 The Design's Support of Autonomy, Competence, Relatedness, And Its Driving of Motivation and Engagement 83
4.3 Main Study Results - Interview Results 90
4.3.1 Theme 1 - Effective Communication: How the chat design fosters clear communication and a sense of connection between mentees and potential mentors 91
4.3.2 Theme 2 - Informed Mentor Selection: How the chat design helps mentees make informed decisions about choosing the right mentor 92
4.3.3 Theme 3.1 - Perceived Value of AI-MC Features: Suggesting content using conversational/background information 94
4.3.4 Theme 3.2 - Perceived Value of AI-MC Features: Adjusting tone and content 95
4.3.5 Theme 3.3 - Perceived Value of AI-MC Features: Translation 97
4.3.6 Theme 4 - Design Improvement 98
Chapter 5 Discussion and Limitations 100
5.1 Discussion 100
5.1.1 Online Mentor Finding Navigation Process and Challenges 100
5.1.2 Facilitation of Online Communication with AI-MC Integration 101
5.1.3 Support of Psychological Needs by AI-MC Integration 103
5.1.4 Impact of AI-MC Features on User Experience in Online Text-Based
Communication with Potential Mentors 106
5.1.5 User Perceptions and Ethical Considerations 107
5.2 Limitations 109
Chapter 6 Conclusion and Future Work 111
6.1 Conclusion 111
6.2 Future Work 114
References 116
Appendix A: Interview Questions (Pilot Study) 127
Appendix B: Questionnaires (Pilot Study) 129
Appendix C: Questionnaires (Main Study) 131
Appendix D: Interview Questions (Main Study) 137

Advances in Career Theory and Research: A Critical Review and Agenda for Future Exploration—Sherry E. Sullivan, Yehuda Baruch, 2009. Retrieved August 22, 2023, from https://journals.sagepub.com/doi/abs/10.1177/0149206309350082

Allen, T. D., Eby, L. T., & Lentz, E. (2006). Mentorship behaviors and mentorship quality associated with formal mentoring programs: Closing the gap between research and practice. Journal of Applied Psychology, 91(3), 567–578. https://doi.org/10.1037/0021-9010.91.3.567

Alshenqeeti, H. (2014). Interviewing as a Data Collection Method: A Critical Review. English Linguistics Research, 3(1), p39. https://doi.org/10.5430/elr.v3n1p39

Ashton, M. C., & Lee, K. (2007). Empirical, theoretical, and practical advantages of the HEXACO model of personality structure. Personality and Social Psychology Review: An Official Journal of the Society for Personality and Social Psychology, Inc, 11(2), 150–166. https://doi.org/10.1177/1088868306294907

Bender-Salazar, R. (2023). Design thinking as an effective method for problem-setting and needfinding for entrepreneurial teams addressing wicked problems. Journal of Innovation and Entrepreneurship, 12(1), 24. https://doi.org/10.1186/s13731-023-00291-2

Brashear-Alejandro, T., Barksdale, H., Bellenger, D. N., Boles, J. S., & James, C. (2019). Mentoring characteristics and functions: Mentoring’s influence on salespeople. Journal of Business & Industrial Marketing, 34(2), 303–316. https://doi.org/10.1108/JBIM-09-2017-0223

Brown, M. E., & Treviño, L. K. (2009). Leader–follower values congruence: Are socialized charismatic leaders better able to achieve it? Journal of Applied Psychology, 94(2), 478–490. https://doi.org/10.1037/a0014069

Burger, J., Bellhäuser, H., & Imhof, M. (2021). Mentoring styles and novice teachers’ well-being: The role of basic need satisfaction. Teaching and Teacher Education, 103, 103345. https://doi.org/10.1016/j.tate.2021.103345

Button, S. B., Mathieu, J. E., & Zajac, D. M. (1996). Goal Orientation in Organizational Research: A Conceptual and Empirical Foundation. Organizational Behavior and Human Decision Processes, 67(1), 26–48. https://doi.org/10.1006/obhd.1996.0063

Calvo, R. A., Peters, D., Vold, K., & Ryan, R. M. (2020). Supporting Human Autonomy in AI Systems: A Framework for Ethical Enquiry. In C. Burr & L. Floridi (Eds.), Ethics of Digital Well-Being: A Multidisciplinary Approach (pp. 31–54). Springer International Publishing. https://doi.org/10.1007/978-3-030-50585-1_2

Chong, J. Y., Ching, A. H., Renganathan, Y., Lim, W. Q., Toh, Y. P., Mason, S., & Krishna, L. K. R. (2020). Enhancing mentoring experiences through e-mentoring: A systematic scoping review of e-mentoring programs between 2000 and 2017. Advances in Health Sciences Education, 25(1), 195–226. Scopus. https://doi.org/10.1007/s10459-019-09883-8

Combelles, A., Ebert, C., & Lucena, P. (2020). Design thinking. IEEE Software, 37(2), 21-24.

de Janasz, S. C., & Godshalk, V. M. (2013). The Role of E-Mentoring in Protégés’ Learning and Satisfaction. Group and Organization Management, 38(6), 743–774. https://doi.org/10.1177/1059601113511296

Deng, C., Gulseren, D. B., & Turner, N. (2022). How to match mentors and protégés for successful mentorship programs: A review of the evidence and recommendations for practitioners. Leadership & Organization Development Journal, 43(3), 386–403. https://doi.org/10.1108/LODJ-01-2021-0032

Digman, J. M. (1990). Personality structure: Emergence of the five-factor model. Annual Review of Psychology, 41, 417–440. https://doi.org/10.1146/annurev.ps.41.020190.002221

Dillahunt, T. R., & Lu, A. (2019). DreamGigs: Designing a Tool to Empower Low-Resource Job Seekers. Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 1–14. https://doi.org/10.1145/3290605.3300808

DiRenzo, M. S., Linnehan, F., Shao, P., & Rosenberg, W. L. (2010). A moderated mediation model of e-mentoring. Journal of Vocational Behavior, 76(2), 292–305. https://doi.org/10.1016/j.jvb.2009.10.003

Dixon, B. T., Agboola, O., Hauck, A., Argento, M., Miller, C., & Vaughan, A. L. (2023). Peer Mentoring: Benefits to First-Time College Students and Their Peer Mentors. Journal of Higher Education Theory and Practice, 23(2), 202–217. Scopus. https://doi.org/10.33423/jhetp.v23i2.5816

Doyle, N., Jacobs, K., & Ryan, C. (2016). Faculty Mentors’ Perspectives on E-Mentoring Post-Professional Occupational Therapy Doctoral Students. Occupational Therapy International, 23(4), 305–317. https://doi.org/10.1002/oti.1431

Du, F., & Wang, Q. (2017). New teachers’ perspectives of informal mentoring: Quality of mentoring and contributors. Mentoring & Tutoring: Partnership in Learning, 25(3), 309–328. https://doi.org/10.1080/13611267.2017.1364841

Eby, L. T. de T., Allen, T. D., Hoffman, B. J., Baranik, L. E., Sauer, J. B., Baldwin, S., Morrison, M. A., Kinkade, K. M., Maher, C. P., Curtis, S., & Evans, S. C. (2013). An interdisciplinary meta-analysis of the potential antecedents, correlates, and consequences of protégé perceptions of mentoring. Psychological Bulletin, 139(2), 441–476. https://doi.org/10.1037/a0029279

Fiannaca, A., Paradiso, A., Shah, M., & Morris, M. R. (2017, February). AACrobat: Using mobile devices to lower communication barriers and provide autonomy with gaze-based AAC. In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing (pp. 683-695).

Gafni-Lachter, L., Niemeyer, L., Doyle, N., Norcross, J., & Jacobs, K. (2021). Equal peer e-mentoring for online graduate students: A case study and mediation model. Mentoring & Tutoring: Partnership in Learning, 29(5), 545–564. https://doi.org/10.1080/13611267.2021.1986799

Ghosh, R. (2014). Antecedents of mentoring support: A meta-analysis of individual, relational, and structural or organizational factors. Journal of Vocational Behavior, 84(3), 367–384. https://doi.org/10.1016/j.jvb.2014.02.009

Gosling, S. D., Rentfrow, P. J., & Swann, W. B. (2003). A very brief measure of the Big-Five personality domains. Journal of Research in Personality, 37(6), 504–528. https://doi.org/10.1016/S0092-6566(03)00046-1

Guay, F. (2022). Applying self-determination theory to education: Regulations types, psychological needs, and autonomy supporting behaviors. Canadian Journal of School Psychology, 37(1), 75-92.

Guthrie, C. P., & Jones, A. (2017). Maximizing Mentoring in Public Accounting: The Effects of Structure on Outcomes for Male and Female Protégés. Journal of Managerial Issues, 29(2), 137–154.

Hakami, E., El Aadmi-Laamech, K., Hakami, L., Santos, P., Hernández-Leo, D., & Amarasinghe, I. (2022, October). Students’ basic psychological needs satisfaction at the interface level of a computer-supported collaborative learning tool. In International Conference on Collaboration Technologies and Social Computing (pp. 218-230). Cham: Springer International Publishing.

Hancock, J. T., Naaman, M., & Levy, K. (2020). AI-mediated communication: Definition, research agenda, and ethical considerations. Journal of Computer-Mediated Communication, 25(1), 89-100.

Harrison, D. A., Price, K. H., & Bell, M. P. (1998). BEYOND RELATIONAL DEMOGRAPHY: TIME AND THE EFFECTS OF SURFACE- AND DEEP-LEVEL DIVERSITY ON WORK GROUP COHESION. Academy of Management Journal, 41(1), 96–107. https://doi.org/10.2307/256901

Hassenzahl, M., Eckoldt, K., & Diefenbach, S. (2013). Designing Moments of Meaning and Pleasure. 7(3).

Headlam-Wells, J., Gosland, J., & Craig, J. (2006). Beyond the organisation: The design and management of E-mentoring systems. International Journal of Information Management, 26(5), 372–385. https://doi.org/10.1016/j.ijinfomgt.2006.04.001

Henderson, J. A., Rangel, V. S., Greer, R. P., Manuel, M., Jones, S. J., & Doan, V. (2019). The motivations of STEM mentors. ASEE Annual Conference and Exposition, Conference Proceedings. Scopus. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078801274&partnerID=40&md5=2e4e616146ca5dc0bc0342f1817222b4

Henriksen, D., Richardson, C., & Mehta, R. (2017). Design thinking: A creative approach to educational problems of practice. Thinking Skills and Creativity, 26, 140–153. https://doi.org/10.1016/j.tsc.2017.10.001

Hieker, C., & Rushby, M. (2020). Key success factors in implementing sustainable mentor programmes in large organisations. International Journal of Evidence Based Coaching and Mentoring, 18(2), 197–208. Scopus. https://doi.org/10.24384/sx88-eh86

Hohenstein, J., & Jung, M. (2020). AI as a moral crumple zone: The effects of AI-mediated communication on attribution and trust. Computers in Human Behavior, 106, 106190.

Illies, M. Y., & Reiter-Palmon, R. (2018). The effect of value similarity on mentoring relationships and outcomes. International Journal of Evidence Based Coaching and Mentoring, 16(1), 20–34.

Jansen, A., Van Mechelen, M., & Slegers, K. (2017). Personas and Behavioral Theories: A Case Study Using Self-Determination Theory to Construct Overweight Personas. Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2127–2136. https://doi.org/10.1145/3025453.3026003

Jeno, L. M., Diseth, Å., & Grytnes, J.-A. (2021). Testing the METUX Model in Higher Education: Interface and Task Need–Satisfaction Predict Engagement, Learning, and Well-Being. Frontiers in Psychology, 12. https://www.frontiersin.org/articles/10.3389/fpsyg.2021.631564

Kane, S. K., & Morris, M. R. (2017, June). Let's Talk about X: Combining image recognition and eye gaze to support conversation for people with ALS. In Proceedings of the 2017 Conference on Designing Interactive Systems (pp. 129-134).

King, C. A., Gipson, P. Y., Arango, A., Lernihan, D., Clark, M., Ewell Foster, C., Caldwell, C., Ghaziuddin, N., & Stone, D. (2021). LET’s CONNECT Community Mentorship Program for Adolescents with Peer Social Problems: A Randomized Intervention Trial. American Journal of Community Psychology, 68(3–4), 310–322. Scopus. https://doi.org/10.1002/ajcp.12528

Kram, K. E. (1983). Phases of the Mentor Relationship. The Academy of Management Journal, 26(4), 608–625. https://doi.org/10.2307/255910

Kvale, S. (1994). InterViews: An introduction to qualitative research interviewing (pp. xvii, 326). Sage Publications, Inc.

Lei, K., Yu, M., Lewellen, M., Ku, V., & Lee, D. T. (2023). Compass: Supporting Large Group Mentorship in a Chat-Based UI. Proceedings of the ACM on Human-Computer Interaction, 7(CSCW1), 37:1-37:25. https://doi.org/10.1145/3579470

Lerch, V. R., Steinemann, S. T., & Opwis, K. (2018). Understanding Fitness App Usage Over Time: Moving Beyond the Need for Competence. Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 1–6. https://doi.org/10.1145/3170427.3188608

Levesque, C. S., Williams, G. C., Elliot, D., Pickering, M. A., Bodenhamer, B., & Finley, P. J. (2007). Validating the theoretical structure of the Treatment Self-Regulation Questionnaire (TSRQ) across three different health behaviors. Health education research, 22(5), 691-702.

Meinel, M., Eismann, T. T., Baccarella, C. V., Fixson, S. K., & Voigt, K. I. (2020). Does applying design thinking result in better new product concepts than a traditional innovation approach? An experimental comparison study. European Management Journal, 38(4), 661-671.

Menges, C. (2016). Toward Improving the Effectiveness of Formal Mentoring Programs: Matching by Personality Matters. Group & Organization Management, 41(1), 98–129. https://doi.org/10.1177/1059601115579567

Mieczkowski, H., Hancock, J. T., Naaman, M., Jung, M., & Hohenstein, J. (2021). AI-mediated communication: Language use and interpersonal effects in a referential communication task. Proceedings of the ACM on Human-Computer Interaction, 5(CSCW1), 1-14.

Modi, N., & Singh, J. (2022). Role of Eye Tracking in Human Computer Interaction. ECS Transactions, 107(1), 8211. https://doi.org/10.1149/10701.8211ecst

Modi, N., & Singh, J. (2023). Understanding Online Consumer Behavior at E-commerce Portals Using Eye-Gaze Tracking. International Journal of Human–Computer Interaction, 39(4), 721–742. https://doi.org/10.1080/10447318.2022.2047318

Mullen, C. A., & Klimaitis, C. C. (2021). Defining mentoring: A literature review of issues, types, and applications. Annals of the New York Academy of Sciences, 1483(1), 19–35. https://doi.org/10.1111/nyas.14176

Neal, S. M., Kline, A., Olejarski, A. M., & Gherardi, M. (2023). I’m Only Human: A New E-road to Advancing Social Equity Through a Humanist Approach to Mentoring in Public Service. Review of Public Personnel Administration, 43(2), 239–259. https://doi.org/10.1177/0734371X211058180

Nguyen, H., Lopez, J., Homer, B., Ali, A., & Ahn, J. (2023). Reminders, reflections, and relationships: Insights from the design of a chatbot for college advising. Information and Learning Science, 124(3–4), 128–146. Scopus. https://doi.org/10.1108/ILS-10-2022-0116

Panopoulos, A. P., & Sarri, K. (2013). E-mentoring: The adoption process and innovation challenge. International Journal of Information Management, 33(1), 217–226. https://doi.org/10.1016/j.ijinfomgt.2012.10.003

Payne, S. C., Youngcourt, S. S., & Beaubien, J. M. (2007). A meta-analytic examination of the goal orientation nomological net. The Journal of Applied Psychology, 92(1), 128–150. https://doi.org/10.1037/0021-9010.92.1.128

Peters, D., Calvo, R. A., & Ryan, R. M. (2018). Designing for Motivation, Engagement and Wellbeing in Digital Experience. Frontiers in Psychology, 9. https://www.frontiersin.org/articles/10.3389/fpsyg.2018.00797

Richard, O. C., McKay, P. F., Garg, S., & Pustovit, S. (2019). The impact of supervisor–subordinate racial-ethnic and gender dissimilarity on mentoring quality and turnover intentions: Do positive affectivity and communal culture matter? The International Journal of Human Resource Management, 30(22), 3138–3165. https://doi.org/10.1080/09585192.2017.1344288

Ryan, R. M., & Connell, J. P. (1989). Perceived locus of causality and internalization: examining reasons for acting in two domains. Journal of personality and social psychology, 57(5), 749.

Ryan, R. M., & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55(1), 68–78. https://doi.org/10.1037/0003-066X.55.1.68

Ryan, R. M., & Deci, E. L. (2013). *Intrinsic motivation and self-determination in human behavior. Springer Science & Business Media.

Ryan, R. M., & Deci, E. L. (2017). Self-determination theory: Basic psychological needs in motivation, development, and wellness. Guilford publications.

Sándorová, Z., Repáňová, T., Palenčíková, Z., & Beták, N. (2020). Design thinking—A revolutionary new approach in tourism education? Journal of Hospitality, Leisure, Sport & Tourism Education, 26, 100238. https://doi.org/10.1016/j.jhlste.2019.100238

Sarabipour, S., Hainer, S. J., Arslan, F. N., De Winde, C. M., Furlong, E., Bielczyk, N., ... & Davla, S. (2022). Building and sustaining mentor interactions as a mentee. The FEBS journal, 289(6), 1374-1384.

Scerri, M., Presbury, R., & Goh, E. (2020). An application of the mentoring framework to investigate the effectiveness of mentoring programs between industry mentors and student mentees in hospitality. Journal of Hospitality and Tourism Management, 45, 143–151. https://doi.org/10.1016/j.jhtm.2020.08.010

Schall, A., & Romano Bergstrom, J. (2014). 1—Introduction to Eye Tracking. In J. Romano Bergstrom & A. J. Schall (Eds.), Eye Tracking in User Experience Design (pp. 3–26). Morgan Kaufmann. https://doi.org/10.1016/B978-0-12-408138-3.00001-7

Schostak, J. (2006). Interviewing and Representation in Qualitative Research Projects.

Schuster, T., Ambrosius, J., & Bader, B. (2017). Mentoring in international assignments: A personality traits perspective. Employee Relations, 39(7), 1100–1130. https://doi.org/10.1108/ER-09-2016-0180

Schwartz, S. (2012). An Overview of the Schwartz Theory of Basic Values. Online Readings in Psychology and Culture, 2(1). https://doi.org/10.9707/2307-0919.1116

Schwartz, S. H. (1992). Universals in the Content and Structure of Values: Theoretical Advances and Empirical Tests in 20 Countries. In M. P. Zanna (Ed.), Advances in Experimental Social Psychology (Vol. 25, pp. 1–65). Academic Press. https://doi.org/10.1016/S0065-2601(08)60281-6

Schwartz, S. H., Cieciuch, J., Vecchione, M., Davidov, E., Fischer, R., Beierlein, C., Ramos, A., Verkasalo, M., Lönnqvist, J.-E., Demirutku, K., Dirilen-Gumus, O., & Konty, M. (2012). Refining the theory of basic individual values. Journal of Personality and Social Psychology, 103(4), 663–688. https://doi.org/10.1037/a0029393

Shrivastav, S., & Joshi, R. (2021). Design Thinking for Long-Term Product Planning. In Design for Tomorrow—Volume 3: Proceedings of ICoRD 2021 (pp. 387-398). Singapore: Springer Singapore.

Single, P., & Single, R. (2005). E-Mentoring for Social Equity: Review of Research to Inform Program Development. Mentoring & Tutoring, 13. https://doi.org/10.1080/13611260500107481

The Blackwell Handbook of Mentoring (1st ed.). (2007). John Wiley & Sons, Ltd. https://doi.org/10.1111/b.9781405133739.2007.x

Valencia, S., Cave, R., Kallarackal, K., Seaver, K., Terry, M., & Kane, S. K. (2023, April). “The less I type, the better”: How AI Language Models can Enhance or Impede Communication for AAC Users. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (pp. 1-14).

Valentin-Welch, M. (2016). Evaluation of a National E-Mentoring Program for Ethnically Diverse Student Nurse-Midwives and Student Midwives. Journal of Midwifery & Women’s Health, 61(6), 759–767. https://doi.org/10.1111/jmwh.12547

Van den Broeck, A., Howard, J. L., Van Vaerenbergh, Y., Leroy, H., & Gagné, M. (2021). Beyond intrinsic and extrinsic motivation: A meta-analysis on self-determination theory’s multidimensional conceptualization of work motivation. Organizational Psychology Review, 11(3), 240–273.

Vertanen, K. (2017, October). Towards improving predictive AAC using crowdsourced dialogues and partner context. In Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility (pp. 347-348).

Wang, K. J., Chen, Y. H., Lee, Y. C., & Lin, Z. Y. (2023). How is innovation empowered by design thinking for new product development? a case study in Taiwan. Asian Journal of Technology Innovation, 1-19.

Weinberg, F. J., & Lankau, M. J. (2011). Formal Mentoring Programs: A Mentor-Centric and Longitudinal Analysis. Journal of Management, 37(6), 1527–1557. https://doi.org/10.1177/0149206309349310

Yu, D., Herremans, I., Althouse, N., Hendijani, R., Mariño Echegaray, A., & Donohue, F. (2022). The mediating role of a good match in achieving mentorship objectives. The International Journal of Management Education, 20(3), 100695. https://doi.org/10.1016/j.ijme.2022.100695

Zhang, H., Shen, Z., Lin, J., Chen, Y., & Miao, Y. (2016). Familiarity design in exercise games for elderly. Int J Inf Technol, 22, 1-19.

Zhang, L., Zhang, L., Jin, C., Tang, Z., Wu, J., & Zhang, L. (2022). Elderly-Oriented Improvement of Mobile Applications Based on Self-Determination Theory. International Journal of Human–Computer Interaction, 0(0), 1–16. https://doi.org/10.1080/10447318.2022.2131264