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How Quickly Should a Communication Robot Respond? Delaying Strategies and Habituation Effects

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Abstract

This paper reports a study about system response time (SRT) in communication robots that utilize human-like social features, such as anthropomorphic appearance and conversation in natural language. Our research purpose is to establish SRT design guidelines in communication robots. The first experiment observed user preferences toward different SRTs in interactions with a robot which indicated that user SRT preferences in a communication robot are peak at one-second SRT.

Based on the results of the first experiment, we conducted two further SRT investigations. One is for delaying strategy and we propose conversational filler which is a behavior that notifies listeners that the robot intends to respond. The other is for habituation effect to see the trend of the first experiment’s result will remain or not when using robots in daily life. In both investigations, we addressed how the delaying strategy and the habituation effect affect on SRT preferences.

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References

  1. Fujita M (2001) AIBO: towards the era of digital creatures. Int J Robot Res 20(10):781–794

    Article  Google Scholar 

  2. Burgard W, Cremers AB, Fox D, Hahnel D, Lakemeyer G, Schulz D, Steiner W, Thrun S (1998) The interactive museum tour-guide robot. In: Proc of national conference on artificial intelligence, 1998, pp 11–18

  3. Hirai K, Hirose M, Haikawa Y, Takenaka T (1998) The development of the Honda humanoid robot. In: IEEE international conference on robotics and automation (ICRA’98), 1998, pp 1321–1326

  4. Sakagami Y, Watanabe R, Aoyama C, Matsunaga S, Higaki N, Fujimura K (2002) The intelligent ASIMO: system overview and integration. In: IEEE/RSJ int conf on intelligent robots and systems (IROS’02), 2002, pp 2478–2483

  5. Kidd C, Breazeal C (2004) Effect of a robot on user perceptions. In: IEEE/RSJ int conf on intelligent robots and systems (IROS’04), 2004, pp 3559–3564

  6. Powers A, Kiesler S, Fussell S, Torrey C (2007) Comparing a computer agent with a humanoid robot. In: Proc of the 2nd ACM/IEEE international conference on human robot interaction (HRI2007), 2007, pp 145–152

  7. Mutlu B, Forlizzi J, Hodgins J (2006) A storytelling robot: modeling and evaluation of human-like gaze behavior. In: IEEE int conf on humanoid robots (Humanoids2006), 2006, pp 518–523

  8. Sugiyama O, Kanda T, Imai M, Ishiguro H, Hagita N (2006) Humanlike conversation with gestures and verbal cues based on a three-layer attention-drawing model. Connect Sci 18(4):379–402

    Article  Google Scholar 

  9. Kahn PH Jr, Freier NG, Kanda T, Ishiguro H, Ruckert JR, Severson RL, Kane SK (2008) Design patterns for sociality in human robot interaction. In: Human robot interaction, 2008, pp 97–104

  10. Foster ME, Bard EG, Guhe M, Hill RL, Oberlander J, Knoll A (2008) The roles of haptic-ostensive referring expressions in cooperative, task-based human-robot dialogue. In: Proc of the 3rd ACM/IEEE international conference on human robot interaction (HRI2008), 2008, pp 295–302

  11. Nagaoka C, Komori M, Draguna MR, Kawase S, Yuki M, Kataoka T, Nakamura T (2003) Mutual congruence of vocal behavior in cooperative dialogues: comparison between receptive and assertive dialogues. In: Human interface symposium, Sept 30th–Oct 2nd, Tokyo, Japan, 2003, pp 167–170 (in Japanese)

  12. Green A, Höttenrauch H, Severinson Eklundh K (2004) Applying the wizard-of-oz framework to cooperative service discovery and configuration. In: Proc IEEE int workshop on robot and human interactive communication, 2004, pp 575–580

  13. Koizumi S, Kanda T, Shiomi M, Ishiguro H, Hagita N (2006) Preliminary field trial for teleoperated communication robots. In: Proc IEEE int workshop on robot and human interactive communication, 2006, pp 145–150

  14. Sacks H, Schegloff EA, Jefferson G (1974) A simplest systematic for the organization of turn-taking for conversation. Language 50(4):696–735

    Article  Google Scholar 

  15. Edelsky C (1981) Who’s got the floor? Lang Soc 10(3):383–421

    Article  Google Scholar 

  16. Power RJD, Dal Martello MF (1986) Some criticism of Sacks, Schegloff, and Jefferson on turn taking. Semotica 58:29–40

    Article  Google Scholar 

  17. Garvey G, Berninger G (1981) Timing and turn taking in children’s conversation. Discourse Process 4:562–568

    Article  Google Scholar 

  18. McLaughlin MR (1984) Conversation: how talk is organized. Sage Publication, Beverly Hills

    Google Scholar 

  19. Clark HH (1996) Using language. Press Syndicate of the University of Cambridge, Cambridge

    Google Scholar 

  20. Nagaoka C, Komori M, Nakamura T (2005) Influence of response latencies on impression evaluation of speakers in dialogues: differences of cues used for evaluation by degree of social skill. Tech Rep IEICE 104(745):57–60 (in Japanese)

    Google Scholar 

  21. Jaffe J, Feldstein S (1970) Rhythms of dialogue. Academic Press, New York

    Google Scholar 

  22. Kawashima H, Scoggins L, Matsuyama T (2007) Analysis of the dynamic structure of Manzai—toward a natural utterance-timing control. J Hum Interface Soc 9(3):97–108 (in Japanese)

    Google Scholar 

  23. Kanda T, Kamashima M, Imai M, Ono T, Sakamoto D, Ishiguro H, Anzai Y (2007) A humanoid robot that pretends to listen to route guidance from a human. Auton Robots 22(1):87–100

    Article  Google Scholar 

  24. Yamamoto M, Watanabe T (2006) Time lag effects of utterance to communicative actions on CG character-human greeting interaction. In: Robot and human interactive communication (ROMAN2006), 2006, pp 629–634

  25. Robins B, Dautenhahn K, te Boekhorst R, Nehaniv CL (2008) Behaviour delay and robot expressiveness in child-robot interactions: a user study on interaction kinetics. In: Proc of the 3rd ACM/IEEE international conference on human robot interaction (HRI2008), 2008, pp 17–24

  26. Barber RE, Lucas HC Jr (1983) System response time operator productivity, and job satisfaction. Commun ACM 26(11):972–986

    Article  Google Scholar 

  27. Goodman T, Spence R (1978) The effect of system response time on interactive computer aided problem solving. ACM SIGGRAPH Comput Graph 12(3):100–104

    Article  Google Scholar 

  28. Guynes JL (1988) Impact of system response time on state anxiety. Commun ACM 31(3):342–347

    Article  Google Scholar 

  29. O’Hara K, Payne SJ (1999) Planning and the user interface: the effects of lockout time and error recovery cost. Int J Human-Comput Studies 41–59

  30. Miller RB (1968) Response time in man-computer conversational transactions. In: Proc spring joint computer conference. AFIPS Press, Montvale, pp 267–277

    Google Scholar 

  31. Starner T (2001) The challenges of wearable computing: Part 2. IEEE Micro 21(4):54–67

    Article  Google Scholar 

  32. Shneiderman B (2001) Designing the user interface, 3rd edn. Addison-Wesley, Reading, pp 358–367

    Google Scholar 

  33. Takubo Y (1995) Toward a linguistic model of speech performance. J Inf Process Soc Jpn 36(11):1020–1026 (in Japanese)

    Google Scholar 

  34. Watanabe M, Hirose K, Den Y, Minematsu N (2005) Filled pauses as cues to the complexity of following phrases. In: Proc European conf speech communication and technology (EUROSPEECH’2005), 2005, pp 37–40

  35. Itoh T, Minematsu N, Nakagawa S (1999) Analysis of filled pauses and their use in a dialogue system. J Acoust Soc Jpn 55(5):333–342 (in Japanese)

    Google Scholar 

  36. Tanaka F, Movellan JR, Fortenberry B, Aisaka K (2006) Daily HRI evaluation at a classroom environment—reports from dance interaction experiments. In: Proc of the 1st ACM/IEEE international conference on human robot interaction (HRI2006), 2006, pp 3–9

  37. Shibata T (2004) An overview of human interactive robots for psychological enrichment. Proc IEEE 92(11):1749–1758

    Article  Google Scholar 

  38. Kozima H, Nakagawa C, Yasuda Y (2005) Interactive robots for communication-care: a case-study in autism therapy. In: Proc the 2005 IEEE international workshop on robot and human interactive communication (ROMAN2005), 2005, pp 341–346

  39. Gockley R, Forlizzi J, Simmons R (2006) Interactions with a moody robot. In: Proc of the 1st ACM/IEEE international conference on human robot interaction (HRI2006), 2006, pp 186–193

  40. Kanda T, Ishiguro H, Imai M, Ono T (2004) Development and evaluation of interactive humanoid robots. Proc IEEE 92(11):1839–1850

    Article  Google Scholar 

  41. Hair J, Anderson R, Tatham R, Black W (1998) Multivariate data analysis, 5th edn. Prentice Hall International, Upper Saddle River

    Google Scholar 

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Correspondence to Toshiyuki Shiwa.

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Shiwa, T., Kanda, T., Imai, M. et al. How Quickly Should a Communication Robot Respond? Delaying Strategies and Habituation Effects. Int J of Soc Robotics 1, 141–155 (2009). https://doi.org/10.1007/s12369-009-0012-8

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