研究生: |
謝詩晨 Shih-Chen Hsieh |
---|---|
論文名稱: |
提示系統中任務複雜度對使用者工作績效的影響 The Effects of Task Complexity in Notification System on Users’ Performance |
指導教授: |
許有真
Yu-Chen Hsu |
口試委員: | |
學位類別: |
碩士 Master |
系所名稱: |
電機資訊學院 - 資訊系統與應用研究所 Institute of Information Systems and Applications |
論文出版年: | 2006 |
畢業學年度: | 94 |
語文別: | 中文 |
論文頁數: | 141 |
中文關鍵詞: | 提示系統 、複雜度 、中斷 、人類訊息處理 、認知 |
外文關鍵詞: | Notification system, Complexity, Interruption, Human Information Processing, Cognition |
相關次數: | 點閱:2 下載:0 |
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提示系統(Notification System)是一種於使用者工作進行中給予額外訊息的應用軟體。使用者當下正在進行的工作為主要任務,提示系統所提供的資訊則為次要任務。由於以往針對任務複雜度所進行的相關研究,僅單方面探討主要或次要任務的複雜度,主、次要任務複雜度對於績效影響的說法不一致,以至於研究結果相互衝突或是用來解釋的理論不夠完善。因此,本研究同時操弄主要與次要任務複雜度,來探究提示系統中任務複雜度對於使用者工作績效、恢復間歇(Resumption lag)與中斷效果的關係。恢復間歇係指使用者結束次要任務後用來準備回復主要任務情境的一段時間。研究中透過實驗來探討不同程度的任務複雜度如何因人類訊息處理能力的限制,而對使用者的績效與主觀感受造成影響,藉此提出任務複雜度的設計方法,以縮短恢復間歇時間並減輕中斷的負面影響。
本研究採用2 x 2的實驗設計。自變項為主要任務與次要任務的複雜度(簡單或複雜),應變項為使用者工作績效(包括主要及次要任務的正確率與處理時間)、恢復間歇、焦慮程度與主觀任務複雜度。本研究主要任務為產品搜尋,依照產品內容以及題目要求而區分為簡單與複雜;次要任務則為數學運算題,依據需解碼與否以及需計算的項目亦區分為簡單與複雜。研究結果顯示主要或次要任務正確率與處理時間直接受到該任務本身複雜度的影響。四組整體績效為主、次要任務皆為簡單組優於主要複雜與次要簡單組優於主要簡單與次要複雜組優於主、次要任務皆為複雜組。恢復間歇受到次要任務複雜度的影響甚鉅,次要任務越複雜則回復到主要任務的困難度亦會增加。主要任務被打斷會對使用者產生壓力及分散對主要任務的注意力。本研究結果建議於提示系統環境中,當中斷無可避免時設計者必須嚴格控制次要任務的複雜度,使執行任務的時間不超過30秒(人類訊息處理之能力範圍),進而將次要任務所造成的打斷效果減到最低。
A notification system is an application software which delivers extra messages to users while they are working. To the user, the primary task is the ongoing task; the messages delivered by the notification system are secondary one. Because the past studies only focused on the complexity of a single task (primary or secondary), their results often conflicted with each other, and their theories don’t have enough explanatory power. Therefore, this study focuses on both the complexity of the primary and that of the secondary task, and discusses the relationships among task complexity in the notification system, users’ performance, resumption lag, and the effects of interruptions. Resumption lag is the time between the termination of the secondary task and the beginning of the primary task. This study conducted an experiment to show how different levels of task complexity affect users’ performance and their subjective feelings due to human limitation on information processing. We provide design methods for task complexity to shorten the resumption lag and mitigate the negative effects of interruptions.
This study was a 2 x 2 between-subjects design. The independent variables were the complexity of the primary and that of the secondary task at two levels (simple and complex). The dependent variables were users’ performance (including the accuracy and the completion time of the task), resumption lag, the state of anxiety, and subjective task complexity. The primary task was product searching at two levels, simple and complex, according to product information and the specified constraints. The secondary task was arithmetic problem-solving, which also has two levels, simple and complex, depending on whether the subject is required to decode the digits and the numbers of digits to be calculated. The results show that the accuracy and completion time of a task either primary or secondary, is only influenced by it self. The overall performance of the four groups is that SS group is better than CS group, which in turn is better than SC group, and CC group is the worst. The influence of the secondary task complexity on resumption lag is great. In other words, the more complex the secondary task is, the harder it is for the subject to resume the primary task. Being interrupted while doing the primary task, the users would have pressure and feel difficult to resume concentration on the primary task. The study suggests that while interruptions are unavoidable with the notification system, the designer should control the complexity of the secondary task to the least and restrict the completion time within 30 seconds.
中文部份
李開偉(民92)實用人因工程學,修訂版。台北,全華科技圖書股份有限公司。
李賢輝(無日期)。認知心理學與圖像設計。國立台灣大學網路教學課程。民94年,取自:http://vr.theatre.ntu.edu.tw/fineart/database/chap16/chap16-03.htm
曾勤閔(民94)。提示系統導入情緒因素對使用者績效的影響。國立清華大學資訊系統與應用研究所碩士論文,未出版,新竹市。
楊治良、郭力平、王沛、陳寧(民90)記憶心理學。台北,五南圖書出版公司。
鄭昭明(民82)認知心理學-理論與實踐。台北,桂冠圖書股份有限公司。
鄭麗玉(民82)。認知心理學-理論與應用。台北,五南圖書出版公司。
謝明憲(民93)。即時傳訊系統之聲音提示對使用者工作績效的影響。國立清華大學資訊系統與應用研究所碩士論文,未出版,新竹市。
鍾思嘉、龍長風(1984).修定情境與特質焦慮量表之研究.中國測驗學會測驗年刊,31,27-36。
英文部分
Allport, A., & Wylie, G. (2000) Task-switching, stimulus–response binding, and negative priming. In: Monsell, S., Driver, J.S. (Eds.), Attention and Performance XVIII: Control of Cognitive Processes. MIT Press, Cambridge, MA, 35-70.
Adamczyk, P. D., & Bailey, B. P. (2004) If not now, when?: The effects of interruption at different moments within task execution. In: Human Factors in Computing Systems: Proceedings of CHI'04. New York: ACM Press, 271-278.
Bailey, B. P., Konstan, J. A., & Carlis J. V. (2000) Measuring the effects of interruptions on task performance in the user interface. In: IEEE Conference on Systems, Man, and Cybernetics 2000 (SMC 2000), IEEE, 757-762.
Bailey, B. P., Konstan, J. A., & Carlis, J. V. (2001) The effects of interruptions on task performance, annoyance, and anxiety in the user interface. In: M. Hirose (Ed.), Human-Computer Interaction – INTERACT 2001 Conference Proceedings. Amsterdam: IOS Press, 593-601.
Baron, R. S. (1986) Distraction-conflict theory: Progress and problems. Advances in experimental social psychology, 19, 1–39.
Bartram, L., Ware, C., & Calvert, T. (2003) Moticons: detection, distraction and task. International Journal of Human-Computer Studies, 58, 515-545.
Burmistrov, I., & Leonova, A. (1997) Interruptions in the computer aided office work: Implications to user interface design. In: P. Seppälä, T. Luopajärvi, C.-H. Nygård & M. Mattila (Eds.), From Experience to Innovation: Proceedings of the 13th Triennial Congress of the International Ergonomics Association. Helsinki: Finnish Institute of Occupational Health, 5, 77-79.
Burmistrov, I., & Leonova, A. (2003) Do interrupted users work faster or slower? The micro-analysis of computerized text editing task. In: J. Jacko & C. Stephanidis (Eds.) Human-Computer Interaction: Theory and Practice (Part I) – Proceedings of HCI International 2003. Mahwah: Lawrence Erlbaum Associates, 1, 621-625.
Campbell, D. J. (1988) Task complexity: A review and analysis. Academy of Management Review, 13, 40–52.
Carroll, J. M., Neale, D. C., Isenhour, P. L., Rosson, M. B., & McCrickard, D. S. (2003) Notification and awareness: synchronizing task-oriented collaborative activity. International Journal of Human-Computer Studies, 58, 605-632.
Chang, S. E. (2005) Computer anxiety and perception of task complexity in learning programming-related skills. Computers in Human Behavior, 21, 713-728.
Cohen, S. (1978) Environmental load and the allocation of attention. In A. Baum, J. E. Singer & S. Valins (Eds) Advances in environmental psychology. The urban environment. Hillsdale, NJ: Lawrence Erlbaum. l (1), 1–29.
Cohen, S., & Spacapan, S. (1978) The aftereffects of stress: An attentional interpretation. Environmental Psychology and Nonverbal Behavior, 3, 43-57.
Cohen, S. (1980) Aftereffects of stress on human performance and social behavior: A review of research and theory. Psychological Bulletin, 88(1), 82–108.
Cooper, R., & Franks, B. (1993) Interruptibility as a constraint on hybrid systems. Minds & Machines, 3(1), 73–96.
Cutrell, E. B., Czerwinski, M., & Horvitz, E. (2000) Effects of instant messaging interruptions on computing tasks. In: Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2000 Extended Abstracts). New York: ACM Press, 99-100.
Cutrell, E., Czerwinski, M., & Horvitz, E. (2001) Notification, disruption, and memory: Effects of messaging interruptions on memory and performance. In: M. Hirose (Ed.), Human-Computer Interaction – INTERACT 2001 Conference Proceedings. Amsterdam: IOS Press, 263-269.
Czerwinski, M., Chrisman, S. E., & Schumacher, B. (1991) The effects of warnings and display similarities on interruption in multitasking environments. SIGCHI Bulletin, 23(4), 38–39.
Czerwinski, M., Horvitz, E., & Wilhite, S. (2004) A diary study of task switching and interruptions. In: Human Factors in Computing Systems: Proceedings of CHI'04. New York: ACM Press, 175-182.
Elliott, O. (1993) Comparison of three instruments for measuring patient anxiety in a coronary care unit. Intensive and Critical Nursing, 9(4), 195-200.
Eyrolle, H., & Cellier, J.-M. (2000) The effects of interruptions in work activity: Field and laboratory results. Applied Ergonomics, 31 (5), 537-543.
Eysenck, M. W. (1979) Anxiety, learning, and memory: A reconceptualization. Journal of Research in Personality, 13, 363-385.
Eysenck, M. W. (1982) Attention and arousal: Cognition and performance. Berlin: Springer-Verlag.
Franke, J., Daniels, J., & McFarlane, D. (2002) Recovering context after interruption. In: 24th Annual Meeting of the Cognitive Science Society.
Gillie, T., & Broadbent, D. (1989) What makes interruptions disruptive? A study of length, similarity and complexity. Psychological Research, 50 (4), 243-250.
Hodges, W. F., & Durham, R. L. (1972) Anxiety, ability, and digit span performance. Journal of Personality and Social Psychology, 24, 401-406.
Iqbal, S. T., Zheng, X. S., & Bailey, B. P. (2004) Task-evoked pupillary response to mental workload in human-computer interaction. Human Factors in Computing Systems: Proceedings of CHI'04: Extended Abstracts. New York: ACM Press, 1477-1480.
Laird, D. A., Laird, E. C., & Fruehling, R. T. (1983) Psychology and human relations and work adjustment. New York: McGraw-Hill.
Mangos, P. M., & Steele-Johnson, D. (2001) The role of subjective task complexity in goal orientation, self-efficacy, and performance relations. Human Performance, 14 (2), 169–186.
Maynard, D. C., & Hakel, M. D. (1997) Effects of objective and subjective task complexity on task performance. Human Performance, 10 (4), 303–330.
McCrickard, D. S., Chewar, C. M., Somervell, J. P., & Ndiwalana, A. (2003) A model for notification systems evaluation – Assessing user goals for multitasking activity. ACM Transactions on Computer-Human Interaction, 10 (4), 312-338.
McCrickard, D. S., Czerwinski, M., & Bartram, L. (2003) Introduction: design and evaluation of notification user interfaces. International Journal Human-Computer Studies, 58, 509–514.
McFarlane, D. C. (2002) Comparison of four primary methods for coordinating the interruption of people in human-computer interaction. Human-Computer Interaction, 17 (1), 63-139.
McFarlane, D. C., & Latorella, K. A. (2002) The Scope and Importance of Human Interruption in HCI Design. Human-Computer Interaction, 17(3), 1-62.
Muller, D., Atzeni, T., & Butera, F. (2004) Coaction and upward social comparison reduce the illusory conjunction effect: Support for distraction-conflict theory. Journal of Experimental Social Psychology, 40, 659-665.
Oulasvirta, A., & Saariluoma, P. (2004) Long-term working memory and interrupting messages in human-computer interaction. Behavior & Information Technology, 23 (1), 53-64.
Oulasvirta, A. (2005) Interrupted Cognition and Design for Non-Disruptiveness: The Skilled Memory Approach. In: Human Factors in Computing Systems: Proceedings of CHI'05. Portland: ACM Press, 1124-1125.
Pearson, R., & Schaik, P-v. (2003) The effect of spatial layout of and link colour in web pages on performance in a visual search task and an interactive search task. International Journal of Human-Computer Studies, 59, 327-353.
Posner, M. I., & Konick, A. F. (1966) On the role of interference in short-term retention. Journal of Experimental Psychology, 72(2), 221-231.
Rogers, R.D., & Monsell, S. (1995) Costs of a predictable switch between simple cognitive tasks. Journal of Experimental Psychology: General 124 (2), 207-231.
Sorg, B. A. & Whitney, P. (1992) The effect of trait anxiety and situational stress on working memory capacity. Journal of Research in Personality, 26(3), 235-241.
Speier, C., Valacich, J. S., & Vessey, I. (1997) The effects of task interruption and information presentation on individual decision making. Proceedings of the Eighteenth International Conference on Information Systems, ACM: New York, 21–36.
Speier, C., Valacich, J. S., & Vessey, I. (1999) Information overload through interruptions: An empirical examination of decision making. Decision Sciences, 30(2), 337–360.
Speier, C., Vessey, I., & Valacich, J. S. (2003) The effects of interruptions, task complexity, and information presentation on computer-supported decision-making performance. Decision Sciences, 34 (4), 771-797.
Speilberger, C.D., Gorsuch, R.L., & Lushene, R.E. (1969) The State Trait Anxiety Inventory Manual. Palo Alto: Consulting Psychologists Press.
Trafton, J. G., Altmann, E. M., Brock, D. P., & Mintz, F. E. (2003) Preparing to resume an interrupted task: Effects of prospective goal encoding and retrospective rehearsal. International Journal of Human-Computer Studies, 58, 583-603.
Wickens, C. D., & Hollands, J. G. (2000) Engineering Psychology and Human Performance. Upper Saddle River, NJ: Prentice Hall, 3rd Ed. Behavior and Human Decision Processes, 37, 60–82.
Yerkes, R. M., & Dodson, J. D. (1908) The Relation of Strength of Stimulus to Rapidity of Habit-Formation. Journal of Comparative Neurology and Psychology, 18, 459-482.
Zijlstra, F. R. H., Roe, R. A., Leonova, A. B., & Krediet I. (1999) Temporal factors in mental work: Effects of interrupted activities. Journal of Occupational and Organizational Psychology, 72 (2), 163-185.