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Slide 1 of 21 Experimenting with iCat in an eldercare environment Marcel Heerink Instituut voor Information Engineering - Hogeschool van Amsterdam Universiteit.

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Presentation on theme: "Slide 1 of 21 Experimenting with iCat in an eldercare environment Marcel Heerink Instituut voor Information Engineering - Hogeschool van Amsterdam Universiteit."— Presentation transcript:

1 Slide 1 of 21 Experimenting with iCat in an eldercare environment Marcel Heerink Instituut voor Information Engineering - Hogeschool van Amsterdam Universiteit van Amsterdam - Human Computer Systems & Intelligent Systems co-researchers: Vanessa Evers, Bob Wielinga, Ben Krose

2 Slide 2 of 21 Background 20002025

3 Slide 3 of 21 Robots & eldercare Paro Pearl Aibo

4 Slide 4 of 21 Research question  Is there a measurable influence of perceived social abilities on the acceptance of autonomous interactive systems by elders in an eldercare environment?

5 Slide 5 of 21 Approach Quantitative research iCat Wizard of Oz +S and –S version Questionnaire Observations Functional and conversational acceptance Field experiment: 2 eldercare institutions (Archipel and Ankerplaats)

6 Slide 6 of 21 Abilities listening attentively (looking at the participant, nodding), being nice and pleasant to interact with (smiling, being helpful), remembering little personal details about people (using their names), being expressive, admitting mistakes.

7 Slide 7 of 21 Conditions

8 Slide 8 of 21 Possible functionalities Agenda/reminder Device interface Monitor Companion

9 Slide 9 of 21 Questionnaire UTAUT –PE = performance expectancy –EE = effort expectancy –SI = social influence –AT = attitude toward using technology –SE = self-efficacy –ANX = anxiety –ITU = intention to use + SA = social abilities (-) + feeling comfortable talking to a robot (conversational acceptance) 5 point scale Questions instead of statements

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15 Slide 15 of 21 Results 1 Construct Cronbach’s Alpha tSig. (2-tailed) performance expectancy,7649 -0,13270,8953 effort expectancy,8610 0,36220,7195 social influence,2997* 0,34530,7322 attitude toward using technology,8889 0,49610,6230 self-efficacy,8942 0,45670,6509 anxiety,4303* -0,00460,9964 intention to use,8954 0,40360,6891 all constructs,9346 all questions,9084

16 Slide 16 of 21 Did you feel uncomfortable talking to a robot? Results 2 conditionNMean tSig. (2-tailed) more social17 1,00 -3,75000,0015 less social19 1,53

17 Slide 17 of 21 Would you want to use the iCat immediately if you could? Results 3 genderNMean tSig. (2-tailed) male11 1,45 2,17170,0426 female25 0,72

18 Slide 18 of 21 Observations conversational expressions by participants more social less social nodding head 6654 shaking head 1615 greet with hand 20 'don't know' gesture 30 move away 04 approach robot 177 smile 4230 laugh 269 surprise 20 show irritation (frown) 12 verbal greeting 3621

19 Slide 19 of 21 Observations 2 ItemtSig. (2-tailed) Mann- Whitney U Asymp. Sig. (2-tailed) Positive 1 2,4500,02092,0000,027 Negative 2 -1,6850,108131,0000,108 All items 2,0630,047102,5000,060

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21 Slide 21 of 21 Conclusions & discussion UTAUT constructs show no significant differences between more en less social condition There are significant differences concerning “conversational acceptance”: participants felt more uncomfortable and used more conversational expressions with a more social robot Other differences are related to gender (could be a generation related result) Further research: –On screen agents –Different experimental conditions? –Work on ‘social abilities?’ –More elaborate observation model


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